Open Forem: krlz

Britain Forces Vets to Publish Prices as a Global Reckoning Over Pet Care Costs Takes Shape

krlz — Wed, 25 Mar 2026 09:09:20 +0000

The Bill Comes Due

On Monday, the United Kingdom's Competition and Markets Authority did something no government body had ever done at this scale: it told every veterinary practice in the country to post its prices — or face consequences. Prescription fees will be capped at £21 for a first medication and £12.50 for each additional one. Any treatment expected to cost more than £500 will require a written estimate, itemized in full. And by December, every clinic must publicly disclose who actually owns it — a pointed reform in a market where corporate consolidation has quietly swallowed independent practices while pet owners had no idea.

The reforms, which become legally binding by September 23, 2026, are the conclusion of a sweeping market investigation that found UK veterinary fees have risen at nearly twice the rate of inflation in recent years. For the 12 million dog-owning households and 11 million cat-owning households across Britain, the announcement felt overdue.

But the UK's intervention is not happening in isolation. Across Europe, Asia, and the Americas, a remarkably synchronized reckoning is underway — over what pet care costs, who controls the pet economy, and what rights animals themselves should have. This week's news from nine countries reveals a world grappling, often simultaneously, with the same uncomfortable questions about the creatures we claim to love most.

When Loving Your Pet Means You Can't Afford Your Pet

The UK pricing reforms would be significant on their own, but they land in a global context that gives them particular resonance. In Germany, where 34 million pets live in nearly half of all households, veterinary associations are bracing for the opposite outcome. The GOT — Germany's official veterinary fee schedule — is due for a formal government evaluation in the second quarter of 2026, and the president of the Bundesverband Praktizierender Tierärzte has already declared that the profession will "vehemently oppose any fee reductions" and that prices "must actually rise further."

The median gross salary for an employed German veterinarian is €4,650 per month — respectable but hardly lavish given the years of education required. Simple consultations already run between €30 and €80, with complex operations reaching €2,500 or more. For pet owners hoping for relief, the evaluation may deliver the opposite.

In a world where a routine surgery can cost more than a month's rent, the question is no longer whether people love their pets — it's whether they can afford to.

In Russia, pet owners are spending an average of 4,482 rubles per month (roughly $45), and the veterinary services market hit a record 60 billion rubles in 2025. Yet only about one-third of Russia's 80 million pets are vaccinated — a gap driven partly by cost but also by the absence, until now, of any system to even track who owns what animal. That is about to change dramatically.

Meanwhile in Chile, the pet care market has ballooned to $1.94 billion — a 77% increase in just five years — with pet store numbers tripling since 2019. Chilean owners now spend up to 100,000 pesos (about $100) per month per pet. And in Japan, despite a slowly shrinking pet population, the veterinary market is projected to nearly double from $2.9 billion to $4.8 billion by 2034, driven by aging pets that need chronic disease management and an expanding pet insurance sector that's making advanced care accessible — and expected.

The pattern is clear across every market: people are spending more, often much more, and the infrastructure of pet care — from pricing transparency to insurance access to pharmaceutical competition — is struggling to keep pace with what has become, for millions of families, a non-negotiable expense.

One bright spot for dog owners: Elanco Animal Health is preparing to commercially launch Befrena (tirnovetmab), a new anti-IL31 monoclonal antibody injection for canine allergic dermatitis approved by the USDA in late December 2025. With dosing intervals of six to eight weeks compared to the four-to-eight-week window of Zoetis's market-dominant Cytopoint, a second competitor in this space could eventually exert downward pressure on one of the most common — and most expensive — reasons dogs visit the vet.

The Shelter Crisis No One Saw Coming

If the cost of keeping a pet is straining families, the cost of giving one up is straining something else entirely: the world's animal shelters.

A study published this month by the University of Bristol, in collaboration with Reaseheath College and University College Dublin, revealed that euthanasia rates for stray dogs in the UK have more than tripled in just three years — from 1.9% in 2021 to 6.3% in 2023. Shelter intake surged from 16,310 dogs to 23,287 over the same period. While rehoming rates improved from 41% to 53%, the sheer volume is overwhelming a system in which only 27% of local authorities even have written welfare policies.

A specific breed dynamic is at play: the UK's ban on XL Bullies, enacted in early 2024, has driven a wave of surrenders. Bull breeds now dominate shelter populations, stay longer, and are harder to place — creating a bottleneck that pushes the entire system toward crisis.

Across the Atlantic, the picture is no better. Approximately 5.8 million dogs and cats entered U.S. shelters and rescues in 2025. Adoptions are down. Intakes are up. Some facilities have resorted to housing animals in pop-up crates, converted bathrooms, and staff offices. As municipal shelters restrict intake to manage overflow, a secondary crisis has emerged: informal rescues and nonprofits stepping in with good intentions but limited resources, sometimes tipping into hoarding situations with little oversight.

In Russia, a shelter scandal in the Arkhangelsk region laid bare the consequences of institutional neglect. An investigation at a facility in the village of Povrakulskaya found dogs chained outdoors in freezing temperatures, cats crammed into tiny cages, animals lying on frozen feces without bedding or water. A parvovirosis outbreak forced a quarantine. Criminal proceedings under Article 245 of the Russian Criminal Code — animal cruelty — are being considered. Only 23% of the facility's infrastructure met legal requirements.

The shelter crisis is not a local problem with local causes. It is a global phenomenon driven by the same forces everywhere: rising costs, housing instability, and the slow unraveling of the pandemic-era adoption boom.

And in Bolivia, the city of El Alto is confronting its own staggering reality: approximately 270,000 dogs, of which some 100,000 live on the streets. The municipality is now socializing a draft law on responsible pet ownership that would mandate registration with the Municipal Zoonosis Center and establish penalties under Bolivia's existing Law 700 — but the gap between the legislation and the scale of the problem remains enormous.

A Legislative Wave From Amsterdam to Sacramento

If 2025 was the year governments started noticing the pet welfare crisis, 2026 is the year they started legislating. And the breadth of new laws is remarkable.

The Netherlands made history on January 1 by becoming the first country in the world to ban the keeping of fold-eared and hairless cats — including Scottish Folds and Sphynx cats. The reasoning is grounded in veterinary science: fold-eared cats suffer from osteochondrodysplasia, a genetic cartilage defect that causes chronic pain, stiff joints, and potential paralysis. Hairless cats cannot properly regulate body temperature and lack whiskers, impairing their sensory experience. Existing owners may keep their cats until natural death (provided they were microchipped before the ban), but breeding, selling, showing, or acquiring new ones carries a €1,500 fine.

The Dutch move is part of a broader European agenda. A new European Dogs and Cats Law is being finalized, with stricter rules for breeding and trading, and mandatory microchipping for every dog and cat in the EU — linked to both national and European databases. The Netherlands had already planned national cat microchipping for 2026, now pushed to 2027 as it aligns with the EU framework.

In Russia, parallel reforms are even more sweeping. Starting September 1, 2026, all cats and dogs must be registered through the federal FGIS "VetIS" system, marked with microchips, tags, or collars at the owner's expense. Simultaneously, the State Duma has advanced a breeder registry bill — backed by 34 deputies — that would create a unified national organization to maintain a registry of breeders, establish breeding standards, and effectively shut down the grey market of undocumented puppy and kitten sales. And a separate bill proposes increasing animal cruelty fines from 80,000 to 1,000,000 rubles — a twelvefold increase — with up to five years of forced labor for the worst offenses, including the deliberate poisoning of dogs in public spaces.

In the United States, a cascade of new state laws took effect in early 2026. California banned cat declawing (joining New York, Maryland, and others), prohibited puppy mill broker sales, and enacted "Jerry's Law" making owners liable for deliberately failing to provide medical care. Florida launched a public animal cruelty offender database and made pet abandonment during emergencies a felony. Ohio's "Avery's Law" authorizes courts to order euthanasia when a dog kills without provocation. And in a move that directly connects pet welfare to housing policy, California now requires landlords in state-financed affordable housing to allow at least one pet, with "pet rent" capped and deposits made refundable.

Even Germany's circus animals got new protections: as of March 1, 2026, new federal standards dictate minimum enclosure sizes, lighting, enrichment structures, and ventilation for animals in circuses, zoos, and dolphinariums — while a bill to ban circus animals entirely continues its slow progress through the Bundestag.

The Tech Revolution in Pet Care

While governments regulate, the private sector innovates — nowhere more aggressively than in China, where the pet market crossed the 310 billion yuan ($43.4 billion) mark in 2025.

PILTON, a state-backed Chinese startup, has shipped over 10,000 smart pet capsule units to 14 countries. These climate-controlled pods feature precision temperature regulation (±1°C), UV-sterilized air circulation, and AI cameras with smartphone monitoring. Most remarkably, China's largest hotpot restaurant chain, Haidilao, has deployed them in over 70 locations — letting diners leave their pets in monitored, air-conditioned capsules while they eat. It is a uniquely Chinese solution to a universal problem: what do you do with your dog when you go to dinner?

At CES 2026 in Las Vegas, Chinese smart pet company PETKIT demonstrated AI-powered litter boxes that detect abnormalities in urination patterns — flagging, for example, when a cat's trips jump from six to twelve per day, suggesting a possible urinary tract infection. Smart pet products in China are growing at a 38.7% compound annual growth rate.

In Chile, technology met disaster response when volunteers created animalesperdidos.cl, an AI-powered platform to reunite pets separated from their families during the devastating summer wildfires that burned over 35,000 hectares in the Biobío and Ñuble regions. The platform registered over 500 lost pets and achieved 85 reunifications — and remains active months later, a testament to both the scale of the displacement and the power of citizen-driven tech solutions.

Forgotten Animals, Unforgotten Bonds

Some of this week's most powerful stories are not about markets or legislation. They are about the bond between humans and animals tested by catastrophe.

In Japan, just days after the 15th anniversary of the Fukushima disaster, international media profiled Toru Akama, a 63-year-old former nuclear plant worker who has spent a decade and a half caring for pets abandoned when 154,000 residents evacuated the exclusion zone. He began by taking in 40 dogs, then 50. Over the years, he has placed more than 1,000 animals with adoptive families, spending nearly all of his disaster compensation money on their care. He currently lives with 47 cats and 7 dogs — and his biggest worry is finding a successor. "I too am starting to get older," he told AFP.

In Cochabamba, Bolivia, authorities raided the La Pampa market and rescued 34 animals — 32 dogs and 2 cats — crammed into cardboard boxes and poultry crates in an unventilated warehouse, none vaccinated against rabies, all destined for illegal sale. It was at least the second such raid at the same location in six months.

And in Germany, a puppy imported from Russia died of rabies at a shelter in Rhineland-Palatinate — the first case in a country that has been rabies-free since 2008. The puppy's vaccination certificate was forged; post-mortem examination revealed it was significantly younger than claimed, meaning any vaccination would have been ineffective. The puppy had bitten its owner before dying. Criminal police are investigating, and veterinary associations are demanding an urgent crackdown on illegal cross-border puppy trafficking.

What It All Means

Step back from the individual headlines and a coherent picture emerges. The world is in the midst of an unprecedented recalibration of the relationship between humans and companion animals. Pet populations are enormous — 80 million in Russia, 34 million in Germany, 16 million in Chile alone. Markets are booming, with global pet care valued at $273 billion and climbing toward $428 billion by 2032. Technology is transforming everything from diagnosis to disaster response.

But the systems we built to support all of this — veterinary pricing, shelter capacity, breeding oversight, legal protections — were designed for a world where pets were property, not family. The reforms sweeping from Westminster to Moscow to Sacramento are, in essence, the infrastructure of affection catching up to the reality of attachment.

For the pet owner reading this over morning coffee, the takeaway is both reassuring and sobering. Governments are finally paying attention. Prices may become more transparent, breeders more accountable, shelters more supported. But the fundamental tension remains: loving an animal is free; caring for one properly is not — and the gap between those two truths is where every story in this roundup lives.

Your Pet's Next Doctor Visit Might Be an App — How 8 Countries Are Proving It

krlz — Wed, 25 Mar 2026 01:05:26 +0000

Your dog just had a weird episode — shaking, refusing food, pacing in circles. It's 11 PM, the vet clinic is closed, and Google is serving you a terrifying mix of "probably nothing" and "could be fatal." Five years ago, that was the end of the road until morning. In 2026, millions of pet owners around the world are opening an app instead — and getting answers in minutes.

The global pet tech market has exploded to $19.1 billion in 2026, on track to reach $52.9 billion by 2035. But behind those numbers lies something more interesting than market growth: a fundamental shift in how eight different countries — from Tokyo to Santiago, from Amsterdam to Moscow — are rethinking what it means to care for an animal in the digital age. And pet apps are at the center of it all.

The AI Revolution in Your Pet's Food Bowl

At CES 2026 in Las Vegas, Chinese-founded PETKIT made the biggest splash in the pet tech world by unveiling a complete AI-powered ecosystem that turns ordinary pet care into a data-driven health platform. Their three flagship devices — the EVERSWEET ULTRA water fountain, the YUMSHARE DAILY FEAST robotic wet food feeder, and the PUROBOT CRYSTAL DUO automatic litter box — don't just automate tasks. They talk to each other.

Each device is equipped with AI cameras and pet facial recognition that identifies individual animals in multi-pet households. The water fountain tracks how much each cat drinks. The litter box monitors stool consistency and pH levels. The feeder logs eating patterns. All of this data flows into the PETKIT app, building what the company calls a "unified health dashboard" — a continuous health picture that can flag changes weeks before a human would notice them.

"The industry is moving away from simple 'connected' gadgets toward a new era of predictive wellness and pet-centric empathy — innovations that prioritize biological needs over mere mechanical convenience."

This isn't just a Western phenomenon. At the same CES event, Chinese startup 灵尾纪元 (Lingwei Epoch), which recently closed a multi-million yuan Series A round, debuted the MOVA SureTrack Pro smart collar. The collar packs UWB, GPS, and Wi-Fi triangulation into a module small enough for a cat, compressing lost-pet search ranges from hundreds of meters down to just two meters. It even features two-way voice calling — owners can literally talk to their dogs while at work. The company's next-generation version, currently in development, promises to be a real-time pet emotion and behavior translator, interpreting activity patterns, mood states, and anomalies 24/7.

Telemedicine: The Vet in Your Pocket

Perhaps no single feature has transformed pet ownership more than veterinary telemedicine. The global veterinary telehealth market is projected to surge from $146 million in 2025 to $747 million by 2035, growing at a staggering 18.8% annually. And every country is finding its own way in.

In Russia, Petstory — a Mars-backed digital platform — has become the go-to app for pet owners across 68+ cities. The app offers on-demand consultations via chat, audio, or video call with veterinarians who have a minimum of four years of clinical experience, available daily from 6 AM to 2 AM Moscow time. Beyond teleconsultations, Petstory maps nearby veterinary clinics, grooming salons, pet-friendly cafés, and even hotels that welcome dogs and cats. For a country spanning eleven time zones, the advantage is obvious: a pet owner in Vladivostok gets the same quality of veterinary advice as one in Moscow.

Meanwhile in France, where 75 million domestic animals make it the most pet-dense nation in Europe, the digital shift has been dramatic. A recent survey found that 64% of French pet owners now regularly use apps or platforms to care for their companions. The French startup ecosystem has responded: Maskots, an AI-first pet app available in French, Spanish, and English, has grown over 70% month-over-month to 7,000+ active users. Its AI assistant is trained exclusively on veterinary and pet care data, offering breed-specific, life-stage-appropriate recommendations instead of generic advice. Meanwhile, connected devices like Caremitou — a smart litter system — track litter box frequency to detect early signs of urinary issues, one of the most common and dangerous conditions in cats.

In Chile, the insurtech startup Pawer has carved out a unique niche by combining pet health insurance with unlimited televeterinary access in a single app. Founded by Guillermo Díaz in 2021, Pawer maintains a 95% customer satisfaction rate and covers everything from emergency accidents to preventive vaccinations. The app lets owners maintain complete digital health records and get reimbursed at any veterinary clinic in the country — a model that's now expanding to Peru, signaling Latin America's growing appetite for pet tech.

Japan's Quiet Pet Tech Boom

Japan, home to one of the world's most sophisticated pet cultures, has approached pet apps with characteristic precision. The country's digital pet care market is booming, with Fuji Keizai Group reporting accelerating growth in pet tech driven by the twin forces of "pet familization" (ペットの家族化) — the cultural trend of treating pets as full family members — and IoT maturity.

Japanese consumers can choose from over 37 dedicated pet apps as of 2026, ranging from health management platforms to social networks for pet owners. The Nikkei business newspaper now maintains a dedicated "Pet Tech" topic page, tracking the sector's transformation from niche hobby to serious industry. Smart devices like Toletta, a cat toilet developed by a Sharp subsidiary, analyze weight, frequency, and urine volume to detect kidney disease — the leading cause of death in older cats — sometimes months before symptoms appear.

The Japanese market is also pioneering what could be called "emotional tech" for pets: apps that track not just physical health metrics but behavioral patterns that indicate loneliness, anxiety, or boredom — crucial in a country where many pet owners work long hours.

The Netherlands: Where Welfare Policy Meets Digital Innovation

The Netherlands finds itself at a fascinating intersection of strict animal welfare legislation and digital pet care. As of January 1, 2026, it became illegal to buy, sell, breed, or keep hairless cats and cats with folded ears — including Scottish Folds and Sphynx breeds — due to the suffering caused by these genetic traits. Violations carry fines of up to €1,500, and these breeds can no longer appear in shows, competitions, or even social media advertisements.

This regulatory environment has fueled demand for apps that help owners navigate compliance. The HuisdierenApp, the Netherlands' leading pet management platform, offers a comprehensive digital hub where owners can store microchip numbers, insurance details, and vaccination records — essential now that existing cats with banned traits must be microchipped to be legally retained. The app also provides video-call access to veterinarians and maps every nearby pet professional, from behaviorists to groomers.

Dutch apps like DoggyDating — which facilitates group dog walks — and Barkio — a remote pet monitoring tool — reflect the Netherlands' broader philosophy: technology should enhance the human-animal bond, not replace it.

Latin America's Underdog Story

While the US and Asia dominate pet tech headlines, Latin America is writing its own compelling chapter. The regional pet tech sector is growing at 7.1% annually through 2032, with Chile leading the charge.

Beyond Pawer, Chilean apps like PetHero connect owners with vetted dog walkers, sitters, and at-home veterinarians. Petgram merges social media features — photo sharing, community engagement — with practical tools like vaccination reminders and vet appointment scheduling. And Oliver Pets, a Mexico-based platform using AI to personalize the entire ownership experience, is preparing its expansion into Chile.

Bolivia remains a frontier market, where veterinary services are still largely traditional and appointment booking happens through WhatsApp. But that gap represents opportunity: as smartphone penetration grows across the Altiplano, the infrastructure for leapfrogging directly to app-based pet care is already in place.

The Edge-AI Shift: Why Your Pet's Data Is Staying Home

One of the most significant — and underreported — trends of 2026 is the move from cloud computing to Edge AI in pet devices. Instead of streaming video of your cat to a server farm in Virginia, the newest generation of smart pet cameras and feeders process visual data locally, on the device itself.

The advantages are threefold. Privacy: footage of your home never leaves your home. Reliability: if your Wi-Fi goes down, the smart feeder still recognizes your pet and dispenses the right portion. And speed: on-device processing means alerts about unusual behavior arrive in real-time, not after a round trip to the cloud.

Users report 25% less food waste with app-tracked feeders and 40% reduced cleaning time via robotic litter systems — tangible, everyday improvements that add up across the 300+ million pets in the countries covered by this story.

What This Means for Pet Owners

The pet app revolution isn't just about convenience — though that matters too. It's about closing the information gap between pet owners and the medical professionals who care for their animals. A cat that drinks 15% less water over two weeks might seem fine to the naked eye. An AI dashboard that has been tracking daily intake across months will flag it as a potential early sign of kidney disease.

For pet owners in 2026, the message from Tokyo to Amsterdam, from Santiago to Moscow, is the same: the best app for your pet isn't the one with the most features — it's the one you'll actually use every day. Whether that's a simple vaccination reminder in Bolivia or a full AI health ecosystem in Shanghai, the technology is no longer the bottleneck. The future of pet care is already on your phone.

The Netherlands Just Banned Scottish Folds and Sphynx Cats — And the Rest of the World Is Watching

krlz — Wed, 25 Mar 2026 00:57:12 +0000

Since January 1, it has been illegal to buy, sell, or breed a Scottish Fold or a Sphynx cat anywhere in the Netherlands. Owners who acquired one of these beloved breeds after the cutoff face fines of up to €1,500. Existing cats, if born and microchipped before the deadline, may live out their natural lives — but they cannot be exhibited at shows, entered into competitions, or bred. For the roughly 10,000 Dutch owners of folded-ear and hairless cats, the message from The Hague is unmistakable: the era of breeding animals for aesthetic traits that cause suffering is over.

The Dutch ban is not happening in isolation. It is the sharpest edge of a global legislative movement that, in just the first quarter of 2026, has rewritten the rules of pet ownership from Sacramento to Moscow, from Santiago to Tokyo. Taken together, these changes signal something profound: governments around the world are no longer content to merely punish animal cruelty after the fact. They are stepping in to prevent it — even when that means telling pet owners which animals they can and cannot have.

When Cuteness Causes Pain

The science behind the Dutch decision is not new, but the political will to act on it is. Scottish Fold cats carry a genetic mutation called osteochondrodysplasia that affects cartilage throughout their bodies. It is this mutation that gives them their signature folded ears — the very feature that made them Instagram darlings and celebrity favorites. But the same defective cartilage causes progressive, debilitating arthritis that can leave cats in chronic pain, sometimes requiring euthanasia at a tragically young age.

Sphynx cats, meanwhile, lack the fur that regulates body temperature and the whiskers that serve as critical sensory organs. They are more vulnerable to skin infections, ear problems, and respiratory issues. The Dutch government concluded that the welfare costs of these breeds simply outweigh the aesthetic pleasure they provide to humans.

"The suffering of the Scottish Fold is undeniable, and this kind of action is sorely needed on a much wider level. It brings public attention to the issue of pedigree breed health and starts a wider conversation, which can only be a good thing."

The ban has already sent ripples across Europe. In Belgium, the animal welfare organization Veeweyde has publicly asked whether similar legislation should follow. Germany's Deutscher Tierschutzbund has long campaigned against what it calls Qualzucht — literally "torture breeding" — and advocates are now pointing to the Netherlands as proof that bans are politically viable. The European Federation of Veterinarians (FVE) has endorsed the Dutch approach, calling it a model for the continent.

The question is no longer whether other countries will follow, but when.

California Joins the Claw-Free Movement

Across the Atlantic, California rang in 2026 with its own landmark animal welfare legislation. Assembly Bill 867, signed by Governor Gavin Newsom, makes it illegal to declaw a cat in the state unless the procedure is medically necessary for the animal's health. Veterinarians who continue to perform cosmetic or convenience-based declawing risk having their licenses suspended or revoked by the California Veterinary Medical Board.

Declawing — known medically as onychectomy — involves amputating the last bone of each toe, comparable to cutting off a human finger at the final knuckle. Research has consistently linked the procedure to long-term pain, behavioral changes including increased aggression and biting, and litter box avoidance. California now joins New York, Maryland, Massachusetts, and Washington, D.C. in banning the practice, but its sheer size — home to nearly 40 million people and an estimated 7 million pet cats — makes this the most consequential state-level ban yet.

California didn't stop there. AB 519 banned pet brokers — middlemen who profit from selling animals bred by others — effectively targeting the puppy mill pipeline. SB 312 requires dog importers to submit health certificates electronically within 10 days of shipment, making them publicly accessible. And SB 602 allows designated shelters to conduct veterinary appointments without a supervising vet on-site, expanding care access in underserved communities.

The combined effect is a state that is simultaneously restricting harmful practices and expanding access to humane care — a dual strategy that animal welfare advocates have long championed.

Russia's Ambitious Plan to Register 75 Million Pets

Perhaps the most sweeping piece of pet legislation anywhere in the world is taking shape in Russia. Starting September 1, 2026, every cat and dog owner in the country will be required to mark their pet — via collar, tag, or microchip, at the owner's choice — and register the animal in the federal veterinary information system known as FGIS VetIS. Registration itself will be free, though the cost of tagging falls on owners.

The scale is staggering. Russia has approximately 75 million domestic pets but, until now, no centralized tracking system. Twenty-six of Russia's regions have already begun implementing registration, with the Moscow region leading since 2023. The Presidential Council for Civil Society and Human Rights has proposed integrating the registry with Gosuslugi, Russia's digital government services portal — potentially creating one of the world's largest pet databases.

But registration is just one pillar of a broader overhaul. In March, Senator Airat Gibatdinov introduced a bill to increase fines for animal cruelty tenfold, from the current cap of 80,000 rubles to 1,000,000 rubles (approximately $10,000). The State Duma is also considering a law that would cap the number of pets per apartment based on living space — 18 square meters per adult dog or cat — targeting hoarding situations that harm both animals and neighbors. Meanwhile, proposed amendments would give courts the power to confiscate pets from convicted animal abusers, closing a legal gap that has long frustrated prosecutors.

And as of March 1, new veterinary drug regulations came into force: antiparasitic medications — including common flea and tick treatments — now require a veterinary prescription, ending over-the-counter sales. The change mirrors pharmaceutical trends in Western Europe and is designed to combat counterfeit drugs, though it adds a new layer of logistical burden for Russia's pet owners.

"In five years, 65,731 integrated veterinary services were provided to pets in the municipality of La Paz alone — a figure that reveals both the scale of Latin America's stray animal challenge and the growing political will to address it."

Latin America Writes Its Own Playbook

The legislative momentum extends well into the Southern Hemisphere. In Bolivia, the city of El Alto — home to an estimated 270,000 dogs, roughly 100,000 of them strays — is socializing a new draft law on responsible pet ownership focused on public health and population control. In March, animal control officers in Cochabamba conducted a dramatic rescue operation, pulling 34 animals from cramped, unventilated storage containers near the La Pampa market, where dogs and cats had been crammed into cardboard boxes and chicken transport crates.

Across the border in Chile, where 86% of households now own a pet and the national pet population exceeds 12 million, the conversation has shifted from basic welfare to urban planning. A March article in El Periodista asked a question that would have seemed absurd a decade ago: are Chilean cities built for humans or for pets? The piece explored a European-style debate now taking root in Santiago — whether urban infrastructure, from parks to public transit, should be redesigned to accommodate the reality that pets are now central to daily life.

On the ground, the Chilean government is investing in sterilization as its primary tool for population management. In the southern province of Chiloé, the national government allocated 86.87 million pesos for a comprehensive 2026 spay-neuter program targeting rural areas, where uncontrolled breeding threatens both domestic animals and native wildlife.

A Rabies Scare Exposes Europe's Import Loopholes

In late January, a dog imported from Russia died of rabies in Germany's Rhineland-Palatinate region, near Mannheim. Laboratory confirmation came on February 10, triggering an investigation that exposed troubling gaps in Europe's animal import system.

The dog had arrived with all required documentation — microchip, vaccination certificate, and antibody test results. But post-mortem analysis revealed the animal was younger than declared at the time of import, meaning the paperwork was either fraudulent or inauthentic. The dog was part of a consignment of 24 animals — 22 dogs and 2 cats — imported by an animal charity and distributed across Germany and other European countries.

Germany's Environment Minister Katrin Eder used the case to underscore the critical importance of regular vaccination, warning that only consistent immunization can reduce the risk of lethal rabies transmission through bites. Germany has been officially rabies-free since 2008, and this imported case — the first in years — served as a jarring reminder that the disease is only a border crossing away.

The Friedrich-Loeffler-Institut, Germany's federal research institute for animal health, is now calling for stricter verification of import documents, particularly for rescue animals brought in by charitable organizations — a well-intentioned channel that, in this case, became a vector for a deadly virus.

The AI Revolution Reaches the Veterinary Clinic

While legislatures write new rules, technology is quietly reshaping veterinary practice from the inside. A major survey released in March by Instinct Science found that 48% of general veterinary practices in the United States now use artificial intelligence in some capacity. The most common applications are medical record and SOAP note creation (used by 63% of AI-adopting practices) and diagnostic assistance (38%).

The implications extend beyond efficiency. AI is also accelerating research. In Russia, the veterinary information portal ZooInform reported in March that neural networks have achieved expert-level accuracy in selecting clinical cases for retrospective veterinary studies — a tedious, labor-intensive process that has historically bottlenecked research. If scalable, this could dramatically speed up the pace of veterinary science, enabling faster identification of disease patterns and treatment protocols.

Meanwhile, Mars Veterinary Health published its 2025 Science Impact Report, highlighting over 500 peer-reviewed publications from its global network of clinician scientists. Among the key breakthroughs: the identification of the SLAMF1 genetic variant linked to canine atopic dermatitis, which is now being developed into a DNA test in collaboration with academic partners. For the millions of dogs who suffer from chronic skin allergies, this could eventually mean earlier diagnosis and more targeted treatment.

China's Pet Economy Breaks Records — Again

China's urban pet market for dogs and cats reached 312.6 billion yuan (approximately $43 billion) in 2025, a 4.1% increase over the prior year, with projections pointing toward 405 billion yuan by 2028. The cat segment is growing faster than dogs — up 5.2% compared to 3.2% — reflecting a global trend toward feline ownership, particularly among young urban professionals living in smaller spaces.

The Chinese market is also the global epicenter of smart pet technology. The city of Nanjing announced plans to create dedicated "pet consumption streets" across three districts, while this week's Nanjing International Pet Expo (March 27-29) is expected to showcase the latest generation of intelligent pet habitats — climate-controlled capsules that monitor temperature, air quality, and even pet behavior through embedded sensors.

In Japan, the professionalization of pet care continues with the fourth annual national examination for Certified Companion Animal Nurses, a state license established in 2022. The February 2026 exam maintained a pass rate near 88%, reflecting a maturing pipeline of formally trained veterinary support staff — a development that countries struggling with veterinary workforce shortages are watching closely.

What It All Means for Pet Owners

The thread connecting a banned cat breed in Amsterdam to a rescued dog in Cochabamba to an AI-assisted diagnosis in Kansas City is this: the world is recalibrating its relationship with companion animals. Governments are no longer treating pets as mere property. They are recognizing them as beings whose welfare demands proactive protection — through breeding restrictions, mandatory identification, prescription drug oversight, and professional care standards.

For everyday pet owners, the practical takeaways are straightforward. Check whether your pet's breed or your care practices may be affected by new or pending legislation in your region. If you're considering a new pet, research the breed's health profile, not just its appearance. Keep vaccinations current — the German rabies case is a stark reminder that prevention is non-negotiable. And if your vet mentions AI-assisted diagnostics, know that the technology is no longer experimental — it is becoming standard practice.

The age of passive pet ownership is ending. What's replacing it is a world that expects more from us — and promises more for them.

Pet News Roundup: March 23, 2026

krlz — Mon, 23 Mar 2026 20:57:29 +0000

This week's global pet news brings a mix of landmark legislation, community-driven rescue efforts, and the growing recognition that our animals deserve better care no matter where they live. From policy shifts in Moscow to mobile vet clinics in the Chilean countryside, the world is paying attention to our four-legged family members.

United States

PetSmart Charities announced $3 million in grants to local animal welfare organizations ahead of National Adoption Week (March 23–29, 2026), bringing adoptable pets into PetSmart stores across the country to boost shelter-to-home placements.
California's cat declawing ban, which took effect January 1, continues to draw national attention as one of the strongest animal protection measures in the country. The state also enacted AB 516, allowing registered veterinary technicians to perform a broader range of medical tasks, helping clinics serve more animals amid an ongoing veterinary staffing shortage.
A major milestone from Best Friends Animal Society: the number of cats killed in U.S. shelters has dropped nearly 75% over the past decade, thanks to expanded adoption programs, community cat initiatives, and foster care networks.

"The number of cats killed in U.S. shelters has dropped by nearly 75 percent in ten years — proof that community-driven programs and compassionate policy really do save lives."

Russia

New pet registration fines took effect March 1 in Russia's Zabaykalsky Krai, where owners now face penalties of 3,000–5,000 rubles for failing to register their dogs — part of a broader national push toward mandatory pet identification.
Russia introduced item-level tracking of all veterinary medications through the "Chestniy Znak" (Honest Mark) labeling system starting March 1, 2026, aiming to combat counterfeit pet medicines and improve supply chain transparency.
In veterinary research, Russian scientists are pioneering the use of AI-powered neural networks to select clinical cases for retrospective studies with expert-level accuracy, addressing long-standing inconsistencies in veterinary medical record-keeping.

Bolivia

Bolivia continues to grapple with its stray dog crisis: between the cities of El Alto and La Paz alone, an estimated 300,000 dogs roam the streets, with roughly half being "semi-strays" — pets that have homes but wander freely during the day.
A 2017 municipal law in La Paz (Ley Municipal 239) was designed to promote companion animal welfare through spay/neuter programs and a pet registry, but remains largely unimplemented and unenforceable, leaving animal advocates frustrated.
International organizations like Humane World for Animals continue to support Bolivia through cross-border programs, including veterinary training and partnerships to improve animal care infrastructure in underserved areas.

Chile

Humane World for Animals Chile launched a major 2026 welfare program sending 18 veterinary specialists to remote communities in the Coquimbo region — places where the nearest vet clinic is a 40-minute drive away. The team provided free spay/neuter services, vaccinations, and health checkups to dogs and cats in Barraza, Salala, and Oruro.
Chile's pet market has grown into a $1.6 billion industry, with pet food accounting for roughly 70% of sales. The country's Responsible Pet Ownership Law has resulted in over 1.3 million registered pets and 449,000 sterilizations since its enactment.
Professor Constanza Cabello from the University of Chile's veterinary faculty brought six students to the Coquimbo field program, combining hands-on training with real community impact — a model that's gaining attention across Latin America.

Germany

Germany remains one of Europe's largest pet markets, with 33.9 million pets across the country, led by 15.7 million cats and 10.5 million dogs. However, total pet ownership dipped slightly from 45% to 44% of households in 2024.
The German government opened nominations for the 2026 Animal Welfare Research Prize (Tierschutzforschungspreis), with submissions closing March 31 — highlighting the country's ongoing investment in humane scientific alternatives.
A Purina symposium on the gut-brain axis held in Germany on March 13 brought together veterinary experts to discuss how digestive health influences pet behavior and mental well-being, reflecting the growing trend of science-based pet nutrition.
Rising pet food and veterinary costs driven by inflation are pushing German owners toward online shopping, with pet-related e-commerce revenues reaching $1.4 billion and the trend toward premium, humanized pet products continuing to grow.

Whether it's a shelter cat finding a home during National Adoption Week in the US, a street dog finally getting vaccinated in rural Chile, or a new AI tool helping Russian veterinarians improve diagnostics — the common thread is clear: communities around the world are investing more in the health and welfare of their companion animals. As pet owners, staying informed about these developments helps us all be better advocates for the animals we love.

How a corruption-convicted company broke Chile's national ID system — and walked away with $480M

krlz — Sat, 21 Mar 2026 01:23:18 +0000

In December 2024, Chile's Registro Civil rolled out a brand new national identity system. It crashed on day one. The system behind every Chilean's cédula de identidad and passport went down nationwide — biometric capture failed, payments broke, documents wouldn't activate, and data errors appeared in identity records.

The company responsible? IDEMIA — a French firm built from the merger of two companies with documented corruption histories, owned by American private equity, and already planning its exit before the ink on Chile's contract was dry.

The Backstory: A Company Born from Corruption

IDEMIA doesn't exist in a vacuum. It was created in 2017 from the merger of:

Oberthur Technologies — debarred by the World Bank for 2.5 years for bribing officials in Bangladesh to win a national ID contract
Safran Identity & Security (Morpho) — fined €500,000 by a French court for bribing Nigerian officials for a €170M ID card contract

The merger was orchestrated by Advent International, a Boston-based private equity firm that owned Oberthur since 2011. Safran sold its identity division to Advent, the two merged into OT-Morpho, and then rebranded as IDEMIA — a clean name for a dirty history.

The Rap Sheet

Year	Country	What Happened	Penalty
2012	Nigeria	Safran/Morpho bribed officials for ID card contract	€500K fine
2017	Bangladesh	Oberthur bribed officials for national ID project	World Bank debarment (2.5 years)
2022	Bangladesh	IDEMIA settled corruption charges (same case)	€8M fine, 4 executives flagged for prosecution
2022	Angola	IDEMIA France corrupted public officials (2007-2011)	€15.5M fine via CJIP (no trial)
2025	Nepal	Complaints of payments to brokers via foreign accounts	Under investigation
—	Kenya	National Assembly voted to ban IDEMIA for 10 years	Suspended from government contracts
—	Ecuador	Declared IDEMIA a "failed adjudicator" in similar tender	Contract revoked

Total fines paid: ~€24 million across multiple countries. Executives imprisoned: zero (publicly known).

The People: Who Did What

The Executives Who Walked Free

In Nigeria, former Safran/Morpho executives Jean-Pierre Delarue (sales manager in Nigeria) and François Perrachon were charged for the bribery scheme that won a €170M ID card contract. A French court acquitted both of them. The company paid the €500K fine. Nobody went to prison.

In Bangladesh, French prosecutors identified nearly €6.1 million in bribes intended for Tarique Ahmed Siddique, a Bangladeshi general. The money was funneled through Ziaur Rahman, who led Tiger IT, the local subcontractor. IDEMIA settled for €8M. Four former Oberthur executives were flagged for separate prosecution — their names have never been made public, and there is no record of convictions.

In Angola, IDEMIA paid €15.5M via a CJIP (French deferred prosecution agreement) for corrupting public officials between 2007-2011. No individuals were named or prosecuted. The deal was signed, the fine was paid, and the file was closed.

Pierre Barrial, IDEMIA's CEO from 2020 to 2025 — the period covering Chile's contract execution and system crash — has faced no public investigation. He was quietly moved to the Supervisory Board when IDEMIA restructured its governance in mid-2025.

The Chilean Officials: A Revolving Door

The tender process consumed three Registro Civil directors and exposed deep conflicts of interest:

Jorge Álvarez Vásquez — Director who fined IDEMIA $164 million CLP in July 2020 for contract breaches and obstructing an investigation into forged identity documents by Registro Civil employees. He was removed from his position on October 16, 2020 — barely one day after extending a deadline in the tender process.

Sergio Mierzejewski — Replaced Álvarez. A private-sector figure linked to the UDI political party, he awarded the bid to the Chinese consortium Aisino. A criminal complaint (querella) was filed against him for "privileging" Aisino, alleging incompatible negotiation, trafficking in influence, violation of secrecy, and use of reserved information. But the complainant, Bruno Opazo Ruiz, was accused by Aisino of having links to IDEMIA — suggesting the legal action itself may have been orchestrated to eliminate the Chinese competitor. Mierzejewski eventually resigned.

Jaime Gajardo Falcón — Chile's Undersecretary of Justice, who had a key role in appointing the next Registro Civil director. He worked for four years at ZC Abogados, the law firm of jurist Francisco Zúñiga (former Constitutional Court minister) — and ZC Abogados is IDEMIA's main legal representative in Chile. Gajardo claims: "I never had any participation in the consultancies or representations that the firm provided to IDEMIA" and "I have never received any payment from IDEMIA nor have I had any contact with its representatives."

The France Trip

After the contract was re-awarded to IDEMIA following Aisino's exclusion, Registro Civil officials traveled to France — paid for entirely by IDEMIA:

Jorge Núñez — Acting National Director
Felipe Barnachea — Chief of Staff
Ricardo Salgado — Head of Technology and Identification Services

The trip was presented as a "technical visit" to review ID card and passport samples. Former officials pointed out that Núñez and Barnachea are not technical experts, and the samples could have been mailed to Santiago. The trip occurred just before IDEMIA renewed a contract worth $55 billion CLP.

The Workers Who Paid the Price

After the December 2024 crash, two officials were fired as scapegoats:

Daniel Teplizky — Subdirector of Studies and Development (replaced by Paulo Ulloa Cifuentes)
Jaime Lira — NSI Project Coordinator (replaced by Mauricio Godoy Cisternas)

Additionally, regional director Jorge Zúñiga and head of Institutional Management Julio Parra departed after a crisis at Víctor Jara Stadium involving 3,000+ foreigners on the system's debut day.

Meanwhile, ANERCICH (the workers' union) issued a public statement: "The company IDEMIA was not able to fully implement the system, and workers have had to assume responsibilities that correspond to the company, negatively affecting both their work and public perception." Undersecretary of Justice Ernesto Muñoz acknowledged "operational difficulties" but claimed 95% operability within weeks — a claim contradicted by months of ongoing failures.

How Chile Handed Them $480 Million

The tender process for Chile's identity system was worth US$480 million over 10 years. Investigative outlet CIPER Chile documented what they called "zonas oscuras" (dark zones) in the process:

A competing Chinese consortium (Aisino) initially won, then was annulled — the contract was re-awarded to IDEMIA
Competitors (Sonda-Thales) filed lawsuits alleging IDEMIA manipulated pricing
IDEMIA held exclusive knowledge of "business rules" from the previous contract — a 7-year information advantage no competitor could match
Chile's Justice Undersecretary previously worked at ZC Abogados, IDEMIA's main legal firm in Chile
Registro Civil officials flew to France on IDEMIA's dime before renewing the contract
A querella was filed against the director who favored the Chinese bid — allegedly linked to IDEMIA itself

The Contraloría (Chile's comptroller) conducted 22 audits and still approved the contract. The Contralor and the Fiscal Nacional Económico were summoned to Congress to explain the process — described by El Mostrador as a "teleserie" (soap opera).

The Crash: December 2024

On December 16, 2024, President Boric personally launched the new system. It immediately failed:

Nationwide system crashes — offices couldn't process documents
Biometric capture failures — fingerprint scanners malfunctioning
Payment system down — cards declined, transactions lost
Data errors in issued identity documents
Visa Waiver broken — new passports couldn't process US ESTA applications
Identity card delivery times went from 30 days to 60+ days

The workers' union (ANERCICH) publicly blamed IDEMIA for delivering a system that wasn't ready. The Registro Civil fired the officials responsible for the rollout — but IDEMIA kept the contract.

The Technical Stack Behind the Mess

IDEMIA doesn't publish its full stack, but from job listings and technical documentation, we can piece together what Chile's identity infrastructure runs on — and why it keeps breaking.

The Backend: IDEMIA Identity Platform

At the core is the IDEMIA Identity Platform, a modular system handling three functions:

Identity Proofing — document verification, biometric checks, watchlist screening
Identity Management — creation, storage, de-duplication, lifecycle management
Identity Authentication — enrollment and verification across channels

The platform is described as "API-first" and modular. In practice, the known components include:

Component	Technology
Biometric engine	MBSS (Multi-Biometric Search Services) — fingerprint, palm, iris, face, tattoo recognition
Database	Oracle Database
Message queue	RabbitMQ
Operating system	Linux
Workflow integration	Accenture (custom integration layer)
Backend language	Java / JEE (confirmed via job postings requiring "Java, JEE platforms and related frameworks")
Database queries	SQL — preferably MS SQL (per job listings), though Oracle is the production DB
Cloud options	AWS or Azure Government (for other deployments — Chile's appears to be on-premise)
Hardware	MBSS is "100% software, no proprietary hardware" — runs on COTS (commercial off-the-shelf)

The biometric engine (MBSS) is the same one used by the FBI's NGI, DoD ABIS, and the State Department — trusted by 70%+ of US law enforcement. On paper, it's proven technology. The question is implementation.

The ID Card & Passport

The physical documents are where IDEMIA's hardware expertise shows:

Identity card: Visible chip (NFC-capable), 32 security features, Braille initials, multibiometric data (fingerprint + face + iris)
Passport: 70 security features, 50 pages, blue turquí cover
Digital ID: Mobile app with encrypted data signed by the backend, stored on-device, requiring user authorization to share

The decadactilar capture (10-finger scanning) uses IDEMIA's proprietary biometric devices. These were among the first things to fail — workers reported malfunctioning scanners and capture interface crashes from day one.

The "Core Principal" — Single Point of Failure

In November 2025, the entire system went down again nationwide. The cause? An update to what the Registro Civil called the "Core Principal" — the main processing engine of the system.

This suggests a monolithic architecture or at least a critical central component with no graceful failover. When the Core Principal breaks, everything breaks — every office, every consulate, every online service. No circuit breakers, no canary deployments, no rolling updates. Just a nationwide outage from a single update.

The App Ecosystem: A UX Disaster

The citizen-facing side is fragmented across multiple disconnected apps:

App	Purpose	Play Store Rating
Identificación Digital	Digital ID on phone	1.0 stars
CivilDigital App	Certificates and services	Poor ratings
Registro e Identidad	ID card reprinting	Poor ratings
CedulApp	ID card activation	Poor ratings

Users need to download multiple apps to complete a single workflow. Certificates fail to download. Connections drop mid-transaction. In 2020, a security researcher demonstrated they could obtain another person's Clave Única (national digital key) using only their RUT number and a photo from the internet — exposing critical flaws in the facial recognition authentication.

The US Visa Waiver Fiasco

Perhaps the most embarrassing technical failure: the new passport system couldn't properly encode certain characters, causing Chilean passports to fail validation on the US ESTA (Electronic System for Travel Authorization) platform. This threatened Chile's participation in the entire US Visa Waiver program — a diplomatic incident caused by a character encoding bug.

What This Tells Us

The stack itself isn't inherently bad — Oracle, Java, Linux, RabbitMQ are battle-tested. MBSS powers the FBI. The problem is:

Implementation quality — proven components assembled poorly, with no proper load testing or failover
Monolithic "Core Principal" — a single point of failure for an entire country's identity system
No gradual rollout — launched nationwide on day one instead of phased regional deployment
Fragmented client apps — multiple disconnected apps instead of a single unified platform
Character encoding failures — basic internationalization bugs in a system that handles names from dozens of nationalities
IDEMIA charged ~US$226 million for this implementation — paid in 106 installments based on documents issued

For a company with 3,000+ engineers and 50+ cryptography experts, the failures aren't about capability. They're about what happens when a corruption-prone private equity portfolio company prioritizes contract extraction over engineering excellence.

Still Broken in 2025-2026

February 2025: Users still reporting delays, portal crashes, document losses
November 2025: Another nationwide outage from a "Core Principal" update
December 2025: Claims of a data breach affecting 10 million Chileans — Registro Civil denied it
March 2026: Intermittent failures continue

The Private Equity Exit

Here's where it gets worse. While Chile struggles with a broken system, IDEMIA's owners are cashing out:

Advent International sold IDEMIA's Smart Identity division (the one making Chile's IDs) to IN Groupe, a French state-owned company — deal closed July 2025
Advent is now selling IDEMIA Public Security for €2-3 billion
Chile contracted IDEMIA but is now dependent on a completely different entity it never chose

The classic private equity playbook: acquire → win government contracts → extract value → sell → leave the mess behind.

Why Nobody Goes to Jail

Mechanism	How It Protects Individuals
Corporate fines	The company pays, not the decision-makers
DPAs / CJIPs	Deferred prosecution deals — no trial, no names
Mergers & rebranding	Oberthur → OT-Morpho → IDEMIA — the corrupt entity "doesn't exist"
PE sales	Advent buys, profits, sells — liability stays with the old entity
Jurisdictional gaps	Bribes in Bangladesh, company in France, owned by US PE — who prosecutes?
"Internal accountability"	Companies claim they fired people internally — no criminal referral

In the Bangladesh case, 4 former executives were flagged for separate prosecution. There is no public record of convictions.

The Bottom Line

A company sanctioned by the World Bank for corruption won a half-billion-dollar contract to build the identity system of an entire country. The system broke. The owners sold and walked away with billions. The executives faced no public consequences. And 19 million Chileans are left with an unreliable identity infrastructure run by an entity they never chose.

This isn't a bug. It's the system working as designed — just not for citizens.

Sources

Chile Registro Civil Crisis

People & Investigations

IDEMIA Tender Irregularities

IDEMIA Corruption History

IDEMIA Ownership & Corporate Structure

Technical Stack & Architecture

Individual Accountability & Legal Framework

I built TubeWords — a free tool to transcribe any YouTube video and get an AI summary in seconds

krlz — Thu, 05 Mar 2026 22:39:12 +0000

Every once in a while you watch a long YouTube video — a conference talk, a tutorial, a podcast — and you just want the gist. Or maybe you want to search through what was actually said. Or save a clean transcript to your notes.

I kept reaching for a tool like that and kept not finding exactly what I wanted. So I built it.

What is TubeWords?

TubeWords is a free, no-signup tool that does two things:

Extracts the full transcript of any YouTube video, powered by Whisper AI
Generates an AI summary of the content, so you get the key points without watching the whole thing

Paste a URL. Get your transcript. Done.

It supports timestamps or plain text output, so you can grab exactly the format you need — whether you're taking notes, building context for a prompt, or just skimming what was said at minute 12.

Why I built it

Honestly? Laziness in the best sense.

I watch a lot of technical content — conference talks, deep-dive tutorials, dev discussions — and I often want to reference what was said without rewatching. I also found myself copying transcripts into Claude or GPT to get a quick summary, which felt like unnecessary friction.

I wanted one place where I paste a URL and immediately get:

A clean, readable transcript
A concise summary
The ability to copy either one with a click

That's it. No accounts. No paywalls. No AI upsell features I'll never use.

The tech behind it

Whisper AI for the transcription — it handles accent variety and audio quality better than YouTube's auto-captions in most cases
Groq for the AI summary — fast inference, low latency, genuinely good summaries
Available in English and Spanish 🇨🇱

There's also a CLI 🖥️

If you live in the terminal (like I do when I'm in flow), there's an npm package:

npm i -g tubewords

Then just:

tubewords https://youtube.com/watch?v=VIDEO_ID -o notes.md

It fetches the transcript, generates the summary, and saves it to a markdown file. Super useful when you want to pipe YouTube content directly into your notes or your own tooling.

What's next

This is v1.0.1 — it works, it's stable, but there's more I want to add:

Chapter-aware summaries
Export to Notion / Obsidian
Bulk video support (playlists)
More languages

If you have ideas or run into issues, I'd love to hear from you.

Try it

👉 tubewords.com

Built with ♥ by krlz.dev

If you find it useful, share it with someone who watches way too many YouTube tutorials. That's probably most of us.

What's your go-to workflow for taking notes from video content? Drop it in the comments — always curious how other devs handle this.

We built a pet medication tracker because every other app failed us

krlz — Wed, 04 Mar 2026 02:13:01 +0000

Last year, my partner and I adopted a dog 🐶 (keep reading, pics at the end!)

And with him came a lot of love... and a lot of responsibility.
Vaccines, medications, checkups — all on time.

I first tried using Google Calendar, but it quickly turned into clutter: work meetings, birthdays, reminders — everything mixed together, and pet-related things got lost.

Then I tried many pet apps, but something was always off: some were overdesigned and hard to read, others missed notifications.

At some point we said: hey, we're developers after all.
So together with Marina, as a family project, we decided to build the app we actually needed.

That's how ZooMinder was born — a simple, clear app to track your pet's meds, vaccines, and checkups, without noise or clutter.

What it does

ZooMinder focuses on one thing and does it well: keeping your pet's health schedule organized.

Multiple pets — Add all your pets with photos, and birthdate
Treatments & medications — Track meds with dosage, frequency (daily, weekly, custom intervals), and time-specific doses
Vet appointments — Save clinic info, vet name, phone, and address so everything is in one place
Upcoming doses — A clear timeline of what's coming next, across all your pets
History — Full timeline of past doses and appointments per pet
Local notifications — 'Bark' sound alerts so you never miss a dose, even when the app is closed
Offline-first — Works without internet. Data syncs to the cloud when you're back online

The tech behind it

We built it with Flutter (Dart 3.10+), targeting Android first.

Here's the stack:

Layer	Tech
Framework	Flutter
Local DB	SQLite (sqflite)
Backend & Auth	Supabase
Notifications	flutter_local_notifications + custom sound
Navigation	go_router
i18n	Flutter's intl (English + Spanish)
In-app purchases	in_app_purchase
Sync	Custom offline-first sync service

Offline-first architecture

This was the most interesting technical challenge. The app stores everything locally in SQLite first. Every record has a synced flag. When the device comes back online, a SyncService pushes unsynced records to Supabase and pulls remote changes — handling conflicts with timestamps (updated_at).

// Every model carries its sync state
class Treatment {
  final bool synced;
  final DateTime updatedAt;
  // ...
}

This means the app is fully usable on a plane, in a rural area, or anywhere without signal. Your pet's schedule doesn't depend on your WiFi.

Notifications that actually work

We created dedicated Android notification channels for medications and appointments, with a custom notification sound. The service schedules up to 3 upcoming notifications per treatment, recalculating whenever treatments are added or modified.

static const _medicationChannel = AndroidNotificationChannel(
  'medication_reminders_v2',
  'Medication Reminders',
  importance: Importance.high,
  sound: _customSound,
  playSound: true,
);

What we learned

Building a "simple" app is harder than it looks. Some takeaways:

Offline-first is worth it but painful — Sync logic with conflict resolution took more time than all the UI combined. But the UX payoff is huge.
Notifications are a minefield — Between Android permission models, battery optimization killing background processes, and timezone handling... just scheduling a daily reminder at 8am is surprisingly complex.
Scope creep is real — We started with "just track medications" and ended up with appointment management, dose history timelines, vet clinic storage, premium subscriptions, and multi-language support. Saying "no" to features is a skill.
Family projects keep you honest — When your co-developer is also your partner and your first user, feedback is... immediate. And brutally honest. 😄

What's next 🚀

We're just getting started. Here's what we're planning:

Family plans — Share pets between household members so everyone can track medications and appointments from their own account. No more "did you give him the pill?" texts.
Assign responsibilities — Delegate tasks to family members. Mom handles the morning dose, dad takes the evening one. Everyone knows what they're responsible for.
Vet-oriented tools — We want to build features that integrate well with ZooMinder and give vets a better way to stay connected with pet owners — think shared treatment plans, visit summaries, and more.

We believe pet care is a team effort, and ZooMinder should reflect that.

Try it

ZooMinder is available on the Google Play Store. If you have pets and struggle to keep track of their medications and vet visits, give it a try.

We'd love your feedback — and if you're a Flutter dev, we're happy to chat about the offline-first patterns we used.

Want to help? 🙌

If you have suggestions, ideas, or found a bug — feel free to send me a DM here on dev.to! I'm always open to feedback.

Also, if you'd like to help as a beta tester, I'd really appreciate it. In exchange for your collaboration and honest feedback, I can give you full access to the premium version of the app. Just reach out and we'll get you set up.

Every bit of help makes ZooMinder better for all pet parents out there. 💪

As I promised some pics of the little guy who started it all. Here he is 🐾

#flutter #flutterdev #dart #mobiledev #android #sideproject #indiedev
#buildinpublic #petcare #pettech #supabase #offlinefirst #petparents #devlife
#familyproject

Built with Flutter, Supabase, and a lot of dog hair on the keyboard.

Have a great day! 👋🐾

Bug Bounty Hunting in 2026

krlz — Sun, 11 Jan 2026 01:06:56 +0000

A complete guide to start earning money through bug bounty hunting.

What is Bug Bounty?
Prerequisites
Setting Up Your Environment
Learning Path
Choosing a Platform
Finding Your First Bug
Writing a Good Report
Common Vulnerability Types
Tools
Tips for Success
Resources

What is Bug Bounty?

Bug bounty programs reward security researchers for finding and responsibly reporting vulnerabilities in software, websites, and applications. Companies pay anywhere from $50 to $2,000,000+ depending on the severity of the bug.

Earnings Potential

Level	Monthly Income	Time to Reach
Beginner	$0-500	0-12 months
Intermediate	$2,000-5,000	1-2 years
Advanced	$8,000-15,000	2-3 years
Elite	$20,000+	3+ years

Prerequisites

Required Knowledge

Basic understanding of how the web works (HTTP, DNS, cookies, sessions)
HTML, CSS, JavaScript fundamentals
Basic programming (Python recommended)
Linux command line basics
Networking fundamentals (TCP/IP, ports, protocols)

Mindset

Patience (most hunters quit in the first 6 months)
Curiosity and persistence
Willingness to learn continuously
Ethical behavior (never test without permission)

Setting Up Your Environment

Operating System

Use a Linux-based OS for bug hunting. Recommended: Kali Linux, Parrot OS, or Ubuntu/Debian with tools installed manually.

Essential Tools Installation

# Update system
sudo apt update && sudo apt upgrade -y

# Install basic tools
sudo apt install -y git curl wget python3 python3-pip nmap

# Install Go (needed for many tools)
wget https://go.dev/dl/go1.21.0.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.21.0.linux-amd64.tar.gz
echo 'export PATH=$PATH:/usr/local/go/bin:~/go/bin' >> ~/.bashrc
source ~/.bashrc

# Install subfinder (subdomain enumeration)
go install -v github.com/projectdiscovery/subfinder/v2/cmd/subfinder@latest

# Install httpx (HTTP probing)
go install -v github.com/projectdiscovery/httpx/cmd/httpx@latest

# Install nuclei (vulnerability scanner)
go install -v github.com/projectdiscovery/nuclei/v3/cmd/nuclei@latest

# Install ffuf (fuzzing)
go install github.com/ffuf/ffuf/v2@latest

Browser Setup

Install Firefox or Chrome
Add extensions: FoxyProxy, Wappalyzer, Cookie Editor, HackBar

Configure Burp Suite

Download from portswigger.net/burp/communitydownload
Set proxy listener to 127.0.0.1:8080
Configure browser to use this proxy
Install Burp's CA certificate in browser

Learning Path

Phase 1: Foundations

Complete these free courses:

PortSwigger Web Security Academy (FREE, essential)
TryHackMe - Bug Bounty Path
HackTheBox Academy

Learn OWASP Top 10:

Injection (SQL, Command, LDAP)
Broken Authentication
Sensitive Data Exposure
XML External Entities (XXE)
Broken Access Control
Security Misconfiguration
Cross-Site Scripting (XSS)
Insecure Deserialization
Using Components with Known Vulnerabilities
Insufficient Logging and Monitoring

Phase 2: Practice

Practice on legal targets: DVWA, bWAPP, OWASP WebGoat, HackTheBox machines, TryHackMe rooms, PentesterLab

Phase 3: Real Targets

Start with VDPs (Vulnerability Disclosure Programs)
Move to paid bug bounty programs
Focus on less popular targets (less competition)

Choosing a Platform

Platform	Best For
HackerOne	Largest program variety
Bugcrowd	Beginner-friendly
Intigriti	European programs
YesWeHack	European programs
Immunefi	Crypto/Web3 (high payouts)
Synack	Invite-only, higher pay

Program Selection Tips

Start with programs that have broad scope
Look for programs with good response times
Avoid programs with many hunters (high competition)
New programs often have more low-hanging fruit

Finding Your First Bug

1. Reconnaissance

# Find subdomains
subfinder -d target.com -o subdomains.txt

# Check which are alive
cat subdomains.txt | httpx -o alive.txt

# Find interesting endpoints
cat alive.txt | waybackurls > urls.txt

2. Map the Application

Browse the application manually
Identify all features and functionality
Note authentication mechanisms
Find input fields (forms, parameters, headers)
Check for APIs

3. Test for Vulnerabilities

Start with these high-impact bugs:

Authentication Issues (Password reset flaws, Account takeover)
Access Control (IDOR, Privilege escalation)
Injection (XSS, SQL Injection, Command Injection)
Business Logic (Price manipulation, Race conditions)

4. Document Everything

Take screenshots, record HTTP requests/responses, note reproduction steps, save evidence before reporting.

Writing a Good Report

Report Template

Title: [Vulnerability Type] in [Feature/Endpoint] allows [Impact]

Summary: Brief description of the vulnerability and its impact.

Severity: Critical / High / Medium / Low

Steps to Reproduce:

Go to the vulnerable endpoint
Perform specific action
Observe the vulnerability

Proof of Concept: Screenshots, videos, code snippets

Impact: Explain what an attacker could do

Recommended Fix: Suggest how to fix the issue

Common Vulnerability Types

Cross-Site Scripting (XSS)

Where to look: Search boxes, comment fields, profile fields, URL parameters

SQL Injection

Where to look: Login forms, search features, filters, any database queries

IDOR (Insecure Direct Object Reference)

Change IDs in requests: GET /api/user/123/profile -> GET /api/user/124/profile

Authentication Bugs

Password reset token leaks
No rate limiting on login
Session not invalidated on logout

Business Logic Flaws

Negative quantity in cart
Skip payment step
Coupon reuse
Race conditions

Information Disclosure

Check for exposed files: /.git/config, /.env, /config.php.bak, /api/swagger.json

Must-Have Tools

Tool	Purpose
Burp Suite	Web proxy and testing
Subfinder	Subdomain enumeration
Nuclei	Vulnerability scanning
ffuf	Fuzzing
httpx	HTTP probing
Nmap	Port scanning
SQLMap	SQL injection
Amass	Subdomain enumeration

Tips for Success

Do's

Read the program scope carefully
Start with less popular programs
Focus on one vulnerability type
Hunt consistently - 2-3 hours daily
Learn from duplicates
Network with other hunters
Document everything
Be patient

Don'ts

Don't use automated scanners blindly
Don't spam reports
Don't test without permission
Don't give up early - 95% quit, be the 5%
Don't chase only critical bugs
Don't disclose publicly without permission

Resources

Free Learning

PortSwigger Web Security Academy
HackerOne Hacktivity
PentesterLand Newsletter

YouTube Channels

STOK, NahamSec, InsiderPhD, LiveOverflow, John Hammond

Books

Web Application Hacker's Handbook
Bug Bounty Bootcamp by Vickie Li
Real-World Bug Hunting by Peter Yaworski

Communities

HackerOne Discord, Bugcrowd Discord, NahamSec Discord, Reddit r/bugbounty

Earnings Timeline

Month 1-3: Learning, practicing, $0 earnings (normal)
Month 4-6: First valid reports, $0-500
Month 7-12: Consistent findings, $500-2000/month
Year 2: Intermediate level, $2000-5000/month
Year 3+: Advanced hunter, $5000-15000+/month

Remember: Bug bounty is a marathon, not a sprint. Stay consistent, keep learning, and the rewards will come.

Last updated: January 2026

Remote Money Resources & Income Methods 2026 - Complete Guide

krlz — Thu, 08 Jan 2026 01:19:05 +0000

A comprehensive research compilation of ways to generate income remotely, with focus on methods available from Chile and Latin America.

Freelancing Platforms

Global Major Platforms

Platform	Fee Structure	Best For	Earnings
Upwork	10-20%	Developers, writers, designers	$20-150/hr
Fiverr	20%	Micro-gigs, creative services	$5-500+ per gig
Toptal	0% (client pays)	Top 3% talent	$60-200+/hr
Freelancer.com	10%	Various projects	Variable
PeoplePerHour	15-20%	European market	Variable

LATAM-Focused Platforms

Workana - Regional focus for Latin American professionals
Virtual Latinos - VA services from LATAM to US businesses
CloudDevs - Pre-vetted LatAm developers/designers
Latin Hire - Recruits for South American educational companies

Remote Job Boards

Platform	Notes
Arc.dev	Chile-specific remote jobs
Remotive	16,000+ companies database
We Work Remotely	Large remote job board
FlexJobs	Vetted remote opportunities
Dynamite Jobs	Avg salary $2.4k-$6.7k/month
Remote OK	Location-independent jobs
Daily Remote	Work from home opportunities

Microtask Platforms

Data Annotation & AI Training

Platform	Earnings	Payment
Appen	$50-400+/month	Monthly via Payoneer
Clickworker	Variable	Weekly via PayPal/Payoneer
Amazon MTurk	$5-80/month	Bank (US) / Amazon gift cards
Remotasks	Variable	Weekly
Prolific	Higher rates	PayPal

Survey & Opinion Platforms

Swagbucks - Multiple earning methods
Survey Junkie - Get paid for opinions
Toluna - Share opinions
ySense - Various tasks
SurveyTime - $1 per survey, instant payment

User Testing

Platform	Rate
UserTesting	Up to $60/test
Userlytics	Variable
TryMyUI	$10/test
TestingTime	Variable
UserFeel	$10/test

Teaching English Online

Platform	Rate	Commission	Best For
italki	$10-60/hr	15% flat	Long-term student building
Preply	$10-45/hr	Up to 33%	Europe, LATAM, exam prep
Cambly	~$10-12/hr	Fixed rate	Flexible, no experience needed
VIPKid	$14-22/hr	N/A	Teaching Chinese students

Other platforms: Tutor.com, Chegg Tutors, Superprof, Skooli

Tip: Many successful tutors earn $2,000-4,000/month full-time.

Bug Bounty & Security Research

Major Platforms

Platform	Avg Payout	Top Payout
HackerOne	$500-5,000	$100,000+
Bugcrowd	$300-3,000	$50,000+
Synack	Variable	High
Intigriti	Variable	Variable
YesWeHack	Variable	Variable

Earnings Potential

Beginners: $500-2,000/month
Experienced: $5,000-10,000/month
Top hunters: $100,000+/year

Open Source Bounties

Platform	Payment	Description
Gitcoin	ETH/ERC-20	Web3/OSS bounties
Bountysource	USD	Classic paid issues
Algora	USD	GitHub-integrated bounties
Open Collective	Donations	Sponsor-funded projects

Typical Bounty Amounts

Micro-fixes: $20-200
Feature tasks: $200-2,500
Major features: $2,500-25,000
Grants: $5,000-100,000+

Look for labels on GitHub: bounty, $, paid, help-wanted

Passive Income Methods

Digital Products

Templates (Notion, Canva) via Gumroad, Etsy - $2,000-5,000+/month
Online Courses via Udemy, Skillshare, Teachable
E-books via Amazon KDP, Apple Books
Stock Photos/Videos via Shutterstock, Adobe Stock

Affiliate Marketing

E-Commerce

Print-on-Demand: Teespring, Redbubble, Printful, Printify

Dropshipping: Shopify + AliExpress/Spocket

Content Creation

YouTube monetization
Blogging (ads + affiliates)
Podcasting (sponsorships)
Newsletter subscriptions

Chile-Specific Resources

Government Grants for Entrepreneurs

SERCOTEC Programs:

Capital Semilla Emprende: $3,500,000 CLP for new businesses
Programa Crece: $5,000,000 CLP for existing micro/small businesses
Capital Abeja: $3,500,000 CLP exclusively for women

CORFO Programs:

Semilla Inicia Line 1: Up to $15,000,000 CLP (90%)
Semilla Inicia Line 2: Up to $50,000,000 CLP (90%)
Semilla Inicia Line 3: Up to $75,000,000 CLP (90%)

Key Portals:

Social Benefits (Registro Social de Hogares)

Benefit	Amount (CLP)	Requirement
Bono Canasta Basica	$11,318/person	Auto for SUF recipients
Subsidio Unico Familiar	$21,243/month	60% RSH
Pension Garantizada Universal	Up to $224,004/month	65+, 90% RSH
Bono Logro Escolar	$40,768-67,955	30% RSH, top grades

Portals:

OSINT Resources Chile

From OSINT-CHILE:

SII (sii.cl) - Tax verification, business status
ChileCompra (chilecompra.cl) - State contracts, government spending
Mercado Publico (mercadopublico.cl) - Public procurement
Registro Empresas (registrodeempresasysociedades.cl) - Corporate ownership
Poder Judicial (pjud.cl) - Litigation history

Quick Reference - By Skill Level

No Experience Required

Surveys (Swagbucks, Prolific)
Microtasks (Clickworker, Appen)
User Testing (UserTesting, TryMyUI)
Cambly (English conversations)

Some Skills Required

Freelancing (Upwork, Fiverr)
Virtual Assistant (Virtual Latinos)
Translation (Gengo, Unbabel)
Tutoring (italki, Preply)

Technical Skills

Bug Bounties (HackerOne, Bugcrowd)
Open Source Bounties (Gitcoin)
Remote Dev Jobs (Arc, Toptal)
GitHub Sponsors

Entrepreneurship

SERCOTEC/CORFO funding
E-commerce/Dropshipping
Course creation
Affiliate marketing

GitHub Resource Lists

Curated earning lists for more resources:

Research compiled January 2025

The Chilean Recipe Funa: How Chileans Weaponized Food Recipes as Digital Protest

krlz — Sat, 27 Dec 2025 16:10:39 +0000

When Chileans Get Mad, They Post Recipes

There is a unique internet phenomenon that has become a powerful form of digital activism in Chile: flooding social media comments with traditional food recipes as a form of protest. This practice, known as "Operación Recetas" (Operation Recipes), has become a symbol of Chilean digital resistance.

The Origin: Maroon 5 at Viña del Mar 2020

It all started at the prestigious Festival de Viña del Mar in February 2020. Maroon 5 was invited to perform, but things went terribly wrong:

The band arrived 30 minutes late
Adam Levine showed little energy and minimal audience interaction
They refused the traditional "gaviotas" awards (a huge sign of disrespect)
Levine later insulted the festival, calling it "just a TV show, not a concert"

The response? Thousands of Chileans flooded Maroon 5s Instagram with traditional Chilean recipes. Adam Levine had to disable comments entirely.

Five years later, when he reopened comments in 2024, posts that previously had 6-22 comments suddenly had thousands - all from Chileans who had been waiting patiently to continue the funa.

Other Notable Targets

The Oscars (2024): After "La Memoria Infinita" didnt win Best Documentary
British Museum: Demanding the return of the Moai from Easter Island
Bad Bunny (2023): After opposing a Chilean AI-generated song using his voice
Donald Trump (2019): Had to permanently restrict comments
The Royal House of Spain: Flooded with recipes as protest

Top 10 Chilean Recipes Used in Digital Funas

1. Pastel de Choclo

A corn and beef casserole layered with chicken, black olives, hard-boiled eggs, and raisins. The corn topping is slightly sweet and caramelized.

Ingredients: Ground beef, onions, chicken pieces, corn (choclo), milk, basil, cumin, black olives, hard-boiled eggs, raisins.

2. Empanadas de Pino

The most iconic Chilean food. Large baked pastries filled with seasoned ground beef, onions, olives, raisins, and hard-boiled egg.

Tip: Chileans say the secret is preparing the filling the night before!

3. Sopaipillas

Fried pumpkin dough discs, served savory with pebre (Chilean salsa) or sweet with chancaca (molasses syrup) as "sopaipillas pasadas."

Ingredients: Flour, cooked pumpkin, salt, baking powder, oil for frying.

4. Cazuela

The ultimate Chilean comfort food. A hearty stew with beef or chicken, large pieces of pumpkin, potato, corn on the cob, and rice. Served in a clay bowl.

5. Charquicán

A rustic dish with indigenous Mapuche roots. Ground beef mixed with mashed potatoes, pumpkin, corn, and peas, always topped with a fried egg.

6. Caldillo de Congrio

Conger eel soup so famous that poet Pablo Neruda wrote an ode to it. Rich tomato-based broth with potatoes, onions, and herbs.

7. Humitas

Ground fresh corn mixed with onions, basil, and seasonings, wrapped in corn husks and boiled. Chiles answer to tamales.

8. Chancho en Piedra

A fresh salsa made by grinding tomatoes, garlic, chili, and cilantro on a stone mortar. The name means "pig in stone" though it contains no pork!

9. Completo

The Chilean hot dog taken to extremes: loaded with mashed avocado, diced tomatoes, mayonnaise, and sauerkraut. A street food legend.

10. Curanto

A traditional feast from Chiloé island where seafood, meats, potatoes, and chapaleles (potato dumplings) are cooked in a pit lined with hot stones and covered with nalca leaves.

The Art of the Chilean Funa

What makes this form of protest unique:

Ironic and humorous tone: Recipes are posted with complete sincerity
Cultural pride: Uses traditional dishes as symbols of national identity
Persistence: Chileans will wait YEARS to continue a funa
Community coordination: Thousands participate spontaneously
Non-violent resistance: Food recipes as weapons of mass commentary

Conclusion

The Chilean recipe funa represents a creative form of digital activism that combines cultural pride, humor, and persistence. When you see hundreds of empanada recipes flooding someones Instagram comments, you know theyve upset an entire nation.

As Chilean internet users say: "Chilenos never forget, and they always have a recipe ready."

Have you witnessed a Chilean recipe funa in action? Share your favorite Chilean dish in the comments!

Complete Guide to CFD Trading: What Are CFDs & How to Automate Trading with Python (2025)

krlz — Sat, 27 Dec 2025 04:01:02 +0000

Complete Guide to CFD Trading: What Are CFDs & How to Automate Trading with Python (2025)

Contracts for Difference (CFDs) have become one of the most popular ways to trade financial markets globally. This comprehensive guide will explain what CFDs are, how they work, and most importantly—how to automate your CFD trading using Python.

What is a CFD (Contract for Difference)?

A Contract for Difference (CFD) is a financial derivative that allows you to speculate on the price movement of an asset without owning the actual underlying asset.

How CFDs Work

Instead of buying actual stocks, commodities, or currencies, you enter into a contract with a broker to exchange the difference in price between when you open and close your trade.

Profit/Loss = (Exit Price - Entry Price) × Position Size × Contract Value

Simple Example

Scenario	Action	Entry Price	Exit Price	Units	Result
Bullish	BUY (Long)	$100	$110	10	+$100 profit
Bullish	BUY (Long)	$100	$90	10	-$100 loss
Bearish	SELL (Short)	$100	$90	10	+$100 profit
Bearish	SELL (Short)	$100	$110	10	-$100 loss

Key Characteristics of CFDs

No Ownership: You never own the underlying asset
Leverage: Trade larger positions with smaller capital (e.g., 1:30 leverage means $1,000 controls $30,000)
Go Long or Short: Profit from both rising AND falling markets
No Expiry Date: Unlike futures, CFDs have no fixed settlement date
Wide Market Access: Trade stocks, indices, forex, commodities, crypto—all from one account

CFDs vs Futures vs Stocks

Feature	CFDs	Futures	Stocks
Ownership	No	No	Yes
Leverage	High (1:5 to 1:30)	High	Low (margin accounts)
Expiry Date	None	Yes (quarterly)	None
Short Selling	Easy	Easy	Restricted
Overnight Fees	Yes (swap)	No	No
Markets	All	Limited	Stocks only
Regulation	Varies	Strict (exchanges)	Strict

Popular CFD Instruments

Index CFDs

US100 - NASDAQ 100 Index
US500 - S&P 500 Index
US30 - Dow Jones Industrial Average
GER40 - DAX 40 (Germany)
UK100 - FTSE 100 (UK)

Forex CFDs

EUR/USD, GBP/USD, USD/JPY, AUD/USD

Commodity CFDs

Gold (XAUUSD), Silver (XAGUSD), Oil (WTI, Brent)

Stock CFDs

Apple, Tesla, Nvidia, Amazon, Microsoft, etc.

Crypto CFDs

Bitcoin, Ethereum, and other major cryptocurrencies

Understanding CFD Costs

1. Spread

The difference between the buy (ask) and sell (bid) price.

spread = ask_price - bid_price
spread_cost = spread * position_size * contract_value

2. Swap/Overnight Fees

Charged when holding positions overnight. Can be positive or negative depending on the instrument and direction.

3. Commission (some brokers)

Fixed fee per trade or per lot traded.

Example Cost Calculation

# Trading 1 lot of US100 CFD
entry_price = 21500
spread = 1.5  # points
contract_value = 1  # $1 per point for mini lot
position_size = 1

spread_cost = spread * contract_value * position_size
print(f"Spread cost: ${spread_cost}")  # $1.50

# If held overnight (example swap rate)
swap_rate = -2.50  # $ per night for long position
print(f"Overnight cost: ${swap_rate}")

CFD Brokers with API Access

1. IG Markets

Best for: Professional API trading, wide market coverage

API: REST API + Streaming (Lightstreamer)
Python Library: trading-ig
Markets: 17,000+ CFD markets
Regulation: FCA, ASIC, BaFin

2. OANDA

Best for: Forex and CFD automation

API: REST v20 API
Python Library: oandapyV20, v20
Markets: Forex, indices, commodities, bonds
Regulation: FCA, CFTC, ASIC

3. XTB

Best for: European traders

API: xStation5 WebSocket API
Python Library: XTBApi, xtbclient
Markets: 5,800+ CFD instruments
Regulation: FCA, CySEC, BaFin

4. MetaTrader 5 Brokers

Best for: Widest broker compatibility

API: MetaTrader 5 Python integration
Python Library: MetaTrader5
Brokers: IC Markets, Pepperstone, FP Markets, etc.
Markets: Depends on broker

5. cTrader Brokers

Best for: Advanced algo trading

API: cTrader Open API
Python Library: ctrader-open-api
Brokers: IC Markets, Pepperstone, FxPro
Markets: Depends on broker

Broker Comparison Table

Broker	API Type	Python Library	Min Deposit	Spreads
IG Markets	REST + Stream	trading-ig	$0	From 0.6
OANDA	REST v20	oandapyV20	$0	From 1.0
XTB	WebSocket	XTBApi	$0	From 0.5
MT5 Brokers	Native	MetaTrader5	Varies	Varies
cTrader	Open API	ctrader-open-api	Varies	Varies

⚠️ Risk Warning: 67-80% of retail investor accounts lose money when trading CFDs. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.

Setting Up Python for CFD Trading

Install Required Libraries

# Core libraries
pip install pandas numpy matplotlib

# Broker-specific libraries
pip install trading-ig        # IG Markets
pip install oandapyV20        # OANDA
pip install XTBApi            # XTB
pip install MetaTrader5       # MT5 (Windows only)
pip install ctrader-open-api  # cTrader

# Technical analysis
pip install ta pandas-ta

Automated CFD Trading with IG Markets

Setup

Create an IG Markets account (demo or live)
Enable API access in your account settings
Get your API key from IG Labs

Basic Connection

from trading_ig import IGService
from trading_ig.config import config
import pandas as pd

# Initialize connection
ig_service = IGService(
    username='your_username',
    password='your_password',
    api_key='your_api_key',
    acc_type='DEMO'  # or 'LIVE'
)

# Login
ig_service.create_session()
print("Connected to IG Markets!")

# Get account info
account_info = ig_service.fetch_accounts()
print(account_info)

Get Market Data

# Search for US100 (NASDAQ 100)
markets = ig_service.search_markets("US Tech 100")
print(markets)

# Get specific market details
# EPIC for US100 CFD is typically: IX.D.NASDAQ.IFD.IP
epic = "IX.D.NASDAQ.IFD.IP"
market_info = ig_service.fetch_market_by_epic(epic)
print(f"Instrument: {market_info['instrument']['name']}")
print(f"Bid: {market_info['snapshot']['bid']}")
print(f"Ask: {market_info['snapshot']['offer']}")

# Get historical prices
prices = ig_service.fetch_historical_prices_by_epic(
    epic=epic,
    resolution="HOUR",
    numpoints=100
)
df = pd.DataFrame(prices['prices'])
print(df.tail())

Place CFD Orders

# Open a BUY position on US100
response = ig_service.create_open_position(
    epic="IX.D.NASDAQ.IFD.IP",
    direction="BUY",
    size=1,  # 1 contract
    order_type="MARKET",
    currency_code="USD",
    force_open=True,
    guaranteed_stop=False,
    stop_level=None,
    stop_distance=50,  # 50 points stop loss
    limit_level=None,
    limit_distance=100  # 100 points take profit
)
print(f"Deal Reference: {response['dealReference']}")

# Check position status
deal_ref = response['dealReference']
confirm = ig_service.fetch_deal_by_deal_reference(deal_ref)
print(f"Status: {confirm['dealStatus']}")

Close Position

# Get all open positions
positions = ig_service.fetch_open_positions()
print(positions)

# Close a specific position
deal_id = "DEAL_ID_HERE"
close_response = ig_service.close_open_position(
    deal_id=deal_id,
    direction="SELL",  # Opposite of open direction
    size=1,
    order_type="MARKET"
)
print(f"Position closed: {close_response}")

Automated CFD Trading with OANDA

Setup

Create an OANDA fxTrade account
Generate API token in Account Management Portal
Note your account ID

Basic Connection

import oandapyV20
import oandapyV20.endpoints.accounts as accounts
import oandapyV20.endpoints.instruments as instruments
import oandapyV20.endpoints.orders as orders
import oandapyV20.endpoints.positions as positions

# Configuration
ACCESS_TOKEN = "your_access_token"
ACCOUNT_ID = "your_account_id"
ENVIRONMENT = "practice"  # or "live"

# Initialize client
client = oandapyV20.API(
    access_token=ACCESS_TOKEN,
    environment=ENVIRONMENT
)

# Get account summary
r = accounts.AccountSummary(ACCOUNT_ID)
client.request(r)
print(f"Balance: {r.response['account']['balance']}")
print(f"NAV: {r.response['account']['NAV']}")

Get Market Data

import pandas as pd

# Get current price
params = {"instruments": "EUR_USD,US30_USD,NAS100_USD"}
r = instruments.InstrumentsCandles(
    instrument="NAS100_USD",  # US100/NASDAQ CFD
    params={"count": 100, "granularity": "H1"}
)
client.request(r)

# Convert to DataFrame
candles = r.response['candles']
data = []
for candle in candles:
    data.append({
        'time': candle['time'],
        'open': float(candle['mid']['o']),
        'high': float(candle['mid']['h']),
        'low': float(candle['mid']['l']),
        'close': float(candle['mid']['c']),
        'volume': candle['volume']
    })

df = pd.DataFrame(data)
df['time'] = pd.to_datetime(df['time'])
print(df.tail())

Place CFD Orders

# Market Order - Buy 1 unit of NAS100 (NASDAQ 100 CFD)
order_data = {
    "order": {
        "instrument": "NAS100_USD",
        "units": "1",  # Positive for BUY, negative for SELL
        "type": "MARKET",
        "positionFill": "DEFAULT"
    }
}

r = orders.OrderCreate(ACCOUNT_ID, data=order_data)
client.request(r)
print(f"Order placed: {r.response}")

# Market Order with Stop Loss and Take Profit
order_data = {
    "order": {
        "instrument": "NAS100_USD",
        "units": "1",
        "type": "MARKET",
        "positionFill": "DEFAULT",
        "stopLossOnFill": {
            "distance": "50"  # 50 points
        },
        "takeProfitOnFill": {
            "distance": "100"  # 100 points
        }
    }
}

r = orders.OrderCreate(ACCOUNT_ID, data=order_data)
client.request(r)
print(f"Order with SL/TP: {r.response}")

# Limit Order
limit_order = {
    "order": {
        "instrument": "NAS100_USD",
        "units": "1",
        "type": "LIMIT",
        "price": "21000.0",
        "timeInForce": "GTC"  # Good Till Cancelled
    }
}

r = orders.OrderCreate(ACCOUNT_ID, data=limit_order)
client.request(r)

Get and Close Positions

# Get all open positions
r = positions.OpenPositions(ACCOUNT_ID)
client.request(r)
print(f"Open positions: {r.response}")

# Close a specific position
close_data = {
    "longUnits": "ALL"  # Close all long units
    # or "shortUnits": "ALL" for short positions
}

r = positions.PositionClose(
    ACCOUNT_ID,
    instrument="NAS100_USD",
    data=close_data
)
client.request(r)
print(f"Position closed: {r.response}")

Automated CFD Trading with XTB

Setup

Create an XTB account
Enable API access
Note your account ID and password

Basic Connection

from XTBApi.api import Client

# Initialize client
client = Client()

# Login
client.login("your_user_id", "your_password", mode="demo")  # or "real"
print("Connected to XTB!")

# Get account info
account_info = client.get_margin_level()
print(f"Balance: {account_info['balance']}")
print(f"Equity: {account_info['equity']}")

Get Market Data

# Get current price for US100
symbol = "US100"
price = client.get_symbol(symbol)
print(f"Symbol: {price['symbol']}")
print(f"Ask: {price['ask']}")
print(f"Bid: {price['bid']}")

# Get all available symbols
all_symbols = client.get_all_symbols()
for sym in all_symbols:
    if 'US' in sym['symbol']:
        print(f"{sym['symbol']}: {sym['description']}")

Place Orders

# Buy US100 CFD
trade = client.open_trade(
    mode=0,  # 0=BUY, 1=SELL
    symbol="US100",
    volume=0.1  # Lot size
)
print(f"Trade opened: {trade}")

# Buy with Stop Loss and Take Profit
trade = client.open_trade(
    mode=0,
    symbol="US100",
    volume=0.1,
    sl=21400.0,  # Stop Loss price
    tp=21600.0   # Take Profit price
)

# Get open trades
open_trades = client.get_trades()
for t in open_trades:
    print(f"Order: {t['order']}, Symbol: {t['symbol']}, Profit: {t['profit']}")

# Close a trade
client.close_trade(order_id=12345)

# Logout when done
client.logout()

Automated CFD Trading with MetaTrader 5

Prerequisites

Windows 10 or higher (MT5 Python API is Windows-only)
MetaTrader 5 terminal installed
Account with an MT5 broker (IC Markets, Pepperstone, etc.)

Setup

import MetaTrader5 as mt5
import pandas as pd
from datetime import datetime

# Initialize MT5 connection
if not mt5.initialize():
    print(f"Initialize failed: {mt5.last_error()}")
    quit()

print(f"MetaTrader5 version: {mt5.version()}")

# Login to account
account = 12345678  # Your account number
password = "your_password"
server = "ICMarketsSC-Demo"  # Your broker's server

authorized = mt5.login(account, password=password, server=server)
if authorized:
    print(f"Connected to account #{account}")
    account_info = mt5.account_info()
    print(f"Balance: {account_info.balance}")
    print(f"Equity: {account_info.equity}")
else:
    print(f"Login failed: {mt5.last_error()}")

Get Market Data

# Get symbol info
symbol = "US100.cash"  # Symbol name varies by broker
symbol_info = mt5.symbol_info(symbol)
if symbol_info is None:
    print(f"Symbol {symbol} not found")
else:
    print(f"Symbol: {symbol_info.name}")
    print(f"Bid: {symbol_info.bid}")
    print(f"Ask: {symbol_info.ask}")
    print(f"Spread: {symbol_info.spread}")

# Enable symbol for trading
if not symbol_info.visible:
    mt5.symbol_select(symbol, True)

# Get historical data
rates = mt5.copy_rates_from_pos(symbol, mt5.TIMEFRAME_H1, 0, 100)
df = pd.DataFrame(rates)
df['time'] = pd.to_datetime(df['time'], unit='s')
print(df.tail())

# Get tick data
ticks = mt5.copy_ticks_from(symbol, datetime.now(), 1000, mt5.COPY_TICKS_ALL)
ticks_df = pd.DataFrame(ticks)
print(ticks_df.tail())

Place CFD Orders

# Prepare trade request - Market Buy
symbol = "US100.cash"
lot = 0.1
point = mt5.symbol_info(symbol).point
price = mt5.symbol_info_tick(symbol).ask
deviation = 20

request = {
    "action": mt5.TRADE_ACTION_DEAL,
    "symbol": symbol,
    "volume": lot,
    "type": mt5.ORDER_TYPE_BUY,
    "price": price,
    "sl": price - 50 * point,  # Stop Loss 50 points below
    "tp": price + 100 * point,  # Take Profit 100 points above
    "deviation": deviation,
    "magic": 234000,  # Expert Advisor ID
    "comment": "Python CFD Bot",
    "type_time": mt5.ORDER_TIME_GTC,
    "type_filling": mt5.ORDER_FILLING_IOC,
}

# Send order
result = mt5.order_send(request)
print(f"Order result: {result}")

if result.retcode != mt5.TRADE_RETCODE_DONE:
    print(f"Order failed: {result.comment}")
else:
    print(f"Order placed! Ticket: {result.order}")

Manage Positions

# Get all open positions
positions = mt5.positions_get()
if positions:
    for pos in positions:
        print(f"Ticket: {pos.ticket}")
        print(f"Symbol: {pos.symbol}")
        print(f"Type: {'BUY' if pos.type == 0 else 'SELL'}") 
        print(f"Volume: {pos.volume}")
        print(f"Profit: {pos.profit}")
        print("---")

# Close a specific position
position_id = 12345678
position = mt5.positions_get(ticket=position_id)

if position:
    pos = position[0]
    close_request = {
        "action": mt5.TRADE_ACTION_DEAL,
        "symbol": pos.symbol,
        "volume": pos.volume,
        "type": mt5.ORDER_TYPE_SELL if pos.type == 0 else mt5.ORDER_TYPE_BUY,
        "position": pos.ticket,
        "price": mt5.symbol_info_tick(pos.symbol).bid if pos.type == 0 else mt5.symbol_info_tick(pos.symbol).ask,
        "deviation": 20,
        "magic": 234000,
        "comment": "Close by Python",
        "type_time": mt5.ORDER_TIME_GTC,
        "type_filling": mt5.ORDER_FILLING_IOC,
    }
    result = mt5.order_send(close_request)
    print(f"Close result: {result}")

# Shutdown MT5 connection
mt5.shutdown()

Complete CFD Trading Bot Example

import oandapyV20
import oandapyV20.endpoints.instruments as instruments
import oandapyV20.endpoints.orders as orders
import oandapyV20.endpoints.positions as positions
import oandapyV20.endpoints.accounts as accounts
import pandas as pd
import numpy as np
import time
import logging

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class CFDTradingBot:
    def __init__(self, access_token, account_id, environment="practice"):
        self.client = oandapyV20.API(
            access_token=access_token,
            environment=environment
        )
        self.account_id = account_id
        self.position = 0

    def get_account_balance(self):
        r = accounts.AccountSummary(self.account_id)
        self.client.request(r)
        return float(r.response['account']['balance'])

    def get_candles(self, instrument, count=100, granularity="H1"):
        params = {"count": count, "granularity": granularity}
        r = instruments.InstrumentsCandles(instrument=instrument, params=params)
        self.client.request(r)

        data = []
        for candle in r.response['candles']:
            if candle['complete']:
                data.append({
                    'time': candle['time'],
                    'open': float(candle['mid']['o']),
                    'high': float(candle['mid']['h']),
                    'low': float(candle['mid']['l']),
                    'close': float(candle['mid']['c']),
                })

        df = pd.DataFrame(data)
        df['time'] = pd.to_datetime(df['time'])
        return df

    def calculate_signals(self, df, fast_period=10, slow_period=20):
        df['SMA_fast'] = df['close'].rolling(window=fast_period).mean()
        df['SMA_slow'] = df['close'].rolling(window=slow_period).mean()

        # Generate signals
        df['signal'] = 0
        df.loc[df['SMA_fast'] > df['SMA_slow'], 'signal'] = 1   # BUY
        df.loc[df['SMA_fast'] < df['SMA_slow'], 'signal'] = -1  # SELL

        return df

    def get_open_positions(self, instrument):
        r = positions.OpenPositions(self.account_id)
        self.client.request(r)

        for pos in r.response.get('positions', []):
            if pos['instrument'] == instrument:
                long_units = int(pos['long']['units'])
                short_units = int(pos['short']['units'])
                return long_units + short_units
        return 0

    def place_order(self, instrument, units, stop_distance=50, take_profit_distance=100):
        order_data = {
            "order": {
                "instrument": instrument,
                "units": str(units),
                "type": "MARKET",
                "positionFill": "DEFAULT",
                "stopLossOnFill": {"distance": str(stop_distance)},
                "takeProfitOnFill": {"distance": str(take_profit_distance)}
            }
        }

        r = orders.OrderCreate(self.account_id, data=order_data)
        self.client.request(r)
        return r.response

    def close_position(self, instrument, direction="long"):
        close_data = {
            f"{direction}Units": "ALL"
        }

        r = positions.PositionClose(
            self.account_id,
            instrument=instrument,
            data=close_data
        )
        try:
            self.client.request(r)
            return r.response
        except Exception as e:
            logger.warning(f"No position to close: {e}")
            return None

    def run(self, instrument="NAS100_USD", units=1, interval=300):
        logger.info(f"Starting CFD Trading Bot for {instrument}")
        logger.info(f"Account Balance: ${self.get_account_balance():.2f}")

        try:
            while True:
                # Get market data
                df = self.get_candles(instrument)
                df = self.calculate_signals(df)

                current_signal = df['signal'].iloc[-1]
                current_price = df['close'].iloc[-1]
                current_position = self.get_open_positions(instrument)

                logger.info(f"Price: {current_price:.2f} | Signal: {current_signal} | Position: {current_position}")

                # Trading logic
                if current_signal == 1 and current_position <= 0:
                    # Close short if exists
                    if current_position < 0:
                        self.close_position(instrument, "short")
                        logger.info("Closed SHORT position")

                    # Open long
                    result = self.place_order(instrument, units)
                    logger.info(f"Opened LONG: {result}")

                elif current_signal == -1 and current_position >= 0:
                    # Close long if exists
                    if current_position > 0:
                        self.close_position(instrument, "long")
                        logger.info("Closed LONG position")

                    # Open short
                    result = self.place_order(instrument, -units)
                    logger.info(f"Opened SHORT: {result}")

                # Wait before next iteration
                time.sleep(interval)

        except KeyboardInterrupt:
            logger.info("Bot stopped by user")
        except Exception as e:
            logger.error(f"Error: {e}")


# Run the bot
if __name__ == "__main__":
    bot = CFDTradingBot(
        access_token="YOUR_ACCESS_TOKEN",
        account_id="YOUR_ACCOUNT_ID",
        environment="practice"  # Use "practice" for demo
    )

    bot.run(
        instrument="NAS100_USD",  # NASDAQ 100 CFD
        units=1,
        interval=300  # Check every 5 minutes
    )

CFD Trading Hours

Index CFDs

Index	Trading Hours (ET)	Notes
US100/NAS100	Sun 6PM - Fri 5PM	1hr daily break
US500/SPX500	Sun 6PM - Fri 5PM	1hr daily break
US30/DJ30	Sun 6PM - Fri 5PM	1hr daily break
GER40/DAX	3AM - 5PM	Cash session
UK100/FTSE	3AM - 5PM	Cash session

Forex CFDs

24/5 Trading: Sunday 5PM ET to Friday 5PM ET
Continuous trading with no daily breaks

Stock CFDs

Follow respective exchange hours
US stocks: 9:30 AM - 4:00 PM ET

Risk Management for CFD Trading

Position Sizing Formula

def calculate_cfd_position_size(
    account_balance,
    risk_percent,
    stop_loss_points,
    point_value
):
    """
    Calculate position size for CFD trading

    Args:
        account_balance: Total account value
        risk_percent: % of account to risk (e.g., 0.01 = 1%)
        stop_loss_points: Distance to stop loss in points
        point_value: Value per point per lot

    Returns:
        Position size in lots
    """
    risk_amount = account_balance * risk_percent
    position_size = risk_amount / (stop_loss_points * point_value)
    return round(position_size, 2)

# Example: $10,000 account, 1% risk, 50 point SL, $1/point
position = calculate_cfd_position_size(10000, 0.01, 50, 1)
print(f"Position size: {position} lots")  # Output: 2.0 lots

Risk Management Rules

Never risk more than 1-2% per trade
Always use stop losses - automate them
Account for overnight swap fees in your calculations
Be aware of leverage - it amplifies losses too
Start with demo accounts - test thoroughly first
Monitor margin levels - avoid margin calls

Conclusion

CFD trading offers a flexible way to access global markets with leverage, but requires careful risk management. With Python automation, you can:

Build custom trading strategies using technical indicators
Automate order execution with proper risk controls
Backtest strategies before going live
Monitor multiple markets simultaneously

Recommended Learning Path

Start with a demo account on OANDA or IG Markets
Learn the API using the examples above
Build simple strategies (moving averages, RSI)
Backtest thoroughly before live trading
Start small with minimal position sizes
Scale gradually as you gain confidence

Resources

Disclaimer: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 67-80% of retail investor accounts lose money when trading CFDs. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. This article is for educational purposes only and does not constitute financial advice.

Tech Pulse: December 23, 2025 - AI, Cybersecurity & Development News Roundup

krlz — Tue, 23 Dec 2025 02:56:36 +0000

Welcome to the daily tech roundup! Here are the most important stories across technology, cybersecurity, and software development for December 23, 2025.

Tech Industry Highlights

ChatGPT Launches Your Year with ChatGPT

OpenAI is rolling out its own version of Spotify Wrapped! The annual review feature called Your Year with ChatGPT is now available to eligible consumers in the US, Canada, UK, Australia, and New Zealand.

SoftBank Racing to Complete $22.5B OpenAI Investment

SoftBank is pushing to finalize a massive $22.5 billion funding commitment to OpenAI by year-end. The company is exploring multiple financing options, including selling public-market holdings and tapping additional credit capacity.

NIST Invests $20M in AI Centers

NIST has expanded collaboration with MITRE Corporation, investing $20 million to establish two centers focused on:

AI-based solutions for U.S. manufacturing
Cybersecurity for critical infrastructure

Major Startup Funding Rounds

Lovable (Swedish AI startup): $330M Series B at $6.6B valuation, led by Google CapitalG
Erebor Bank: $350M for crypto-native banking infrastructure
ZeroAvia: $150M Series D for zero-emission commercial flight

Cybersecurity News

Government Advisories

BRICKSTORM Backdoor Update: CISA, NSA, and Canadian Cyber Security Centre released updated IOCs and detection signatures for Rust-based samples with advanced persistence mechanisms and encrypted WebSocket C2 capabilities.

Major Law Enforcement Action

The DOJ charged 54 individuals in an ATM jackpotting scheme using Ploutus malware, linked to the Tren de Aragua gang. The attacks caused $40.73 million in U.S. losses since 2021.

Nation-State Threats

North Korean hackers stole at least $2.02 billion in cryptocurrency in 2025 (51% increase YoY)
Russia blamed for destructive cyber attacks against Denmark, including water utility attacks and DDoS campaigns
Iranian Infy APT resurfaces targeting victims across multiple countries with updated Foudre and Tonnerre malware

Critical Vulnerabilities

CVE-2025-37164 (CVSS 10.0): HPE OneView Software - unauthenticated RCE
Active exploits reported in Fortinet, SonicWall, Cisco, and WatchGuard products

Major Data Breaches

Organization	Impact
700Credit	5.6M+ auto dealership customers
PornHub via Mixpanel	200M+ Premium user records
University of Sydney	27,000+ individuals

Software Development Updates

AI Tools and Model Releases

Anthropic made Skills an open standard
GPT-5.2-Codex was released
Google Gemini 3 Flash announced - optimized for speed and iterative development

Key Industry Trends

Agents Are Production-Ready: By the end of 2025, AI agents are doing operational work - updating infrastructure, resolving customer issues, moving money, and managing SaaS tools.

Docker Makes Security Accessible: Docker Hardened Images (DHI) are now available at no cost, providing secure-by-default, minimal, production-ready foundations for all developers.

Observability Evolution: Dynatrace announced support for Google Cloud agentic AI tools via Agent-to-Agent (A2A) protocol, now under Linux Foundation governance.

Apple Developer Updates

iOS 18.4, macOS 15.4, and other betas now available
New Australian law (effective Dec 10): Social media platforms must prevent users under 16 from having accounts

Looking Ahead to 2026

Space Data Centers: Conversation around data centers in space is heating up
Energy Infrastructure: Critical importance for AI and tech growth
AI Environmental Impact: Growing concerns about data center water consumption in drought-prone regions

Sources

Stay informed, stay secure, and keep building!

Open Forem: krlz

Britain Forces Vets to Publish Prices as a Global Reckoning Over Pet Care Costs Takes Shape

The Bill Comes Due

When Loving Your Pet Means You Can't Afford Your Pet

The Shelter Crisis No One Saw Coming

A Legislative Wave From Amsterdam to Sacramento

The Tech Revolution in Pet Care

Forgotten Animals, Unforgotten Bonds

What It All Means

Your Pet's Next Doctor Visit Might Be an App — How 8 Countries Are Proving It

The AI Revolution in Your Pet's Food Bowl

Telemedicine: The Vet in Your Pocket

Japan's Quiet Pet Tech Boom

The Netherlands: Where Welfare Policy Meets Digital Innovation

Latin America's Underdog Story

The Edge-AI Shift: Why Your Pet's Data Is Staying Home

What This Means for Pet Owners

The Netherlands Just Banned Scottish Folds and Sphynx Cats — And the Rest of the World Is Watching

When Cuteness Causes Pain

California Joins the Claw-Free Movement

Russia's Ambitious Plan to Register 75 Million Pets

Latin America Writes Its Own Playbook

A Rabies Scare Exposes Europe's Import Loopholes

The AI Revolution Reaches the Veterinary Clinic

China's Pet Economy Breaks Records — Again

What It All Means for Pet Owners

Pet News Roundup: March 23, 2026

United States

Russia

Bolivia

Chile

Germany

How a corruption-convicted company broke Chile's national ID system — and walked away with $480M

The Backstory: A Company Born from Corruption

The Rap Sheet

The People: Who Did What

The Executives Who Walked Free

The Chilean Officials: A Revolving Door

The France Trip

The Workers Who Paid the Price

How Chile Handed Them $480 Million

The Crash: December 2024

The Technical Stack Behind the Mess

The Backend: IDEMIA Identity Platform

The ID Card & Passport

The "Core Principal" — Single Point of Failure

The App Ecosystem: A UX Disaster

The US Visa Waiver Fiasco

What This Tells Us

Still Broken in 2025-2026

The Private Equity Exit

Why Nobody Goes to Jail

The Bottom Line

Sources

Chile Registro Civil Crisis

People & Investigations

IDEMIA Tender Irregularities

IDEMIA Corruption History

IDEMIA Ownership & Corporate Structure

Technical Stack & Architecture

Individual Accountability & Legal Framework

I built TubeWords — a free tool to transcribe any YouTube video and get an AI summary in seconds

What is TubeWords?

Why I built it

The tech behind it

There's also a CLI 🖥️

What's next

Try it

We built a pet medication tracker because every other app failed us

What it does

The tech behind it

Offline-first architecture

Notifications that actually work

What we learned

What's next 🚀

Try it

Want to help? 🙌

Bug Bounty Hunting in 2026

Table of Contents

What is Bug Bounty?