DeathStack

It started as the biggest opportunity in AI: OpenAI opened ChatGPT up to third-party plugins, letting it book flights on Expedia, browse the live web, run code, and reach into dozens of outside services. Developers and solopreneurs rushed in, building on ChatGPT the way an earlier generation built on the App Store or Facebook Platform. This was supposed to be the land grab.

Then, one year later, without much warning to the builders who'd bet on it, OpenAI unveiled GPTs and the GPT Store and began quietly winding plugins down. The distribution channel these developers had spent months building on simply switched off. No transition plan, no revenue-sharing consolation prize. Just a support article, filed under Help, titled almost cheerfully: "Winding down the ChatGPT plugins beta."

Source: OpenAI Help Center

For about eight months in 2023, "upload a PDF and chat with it" was one of the hottest weekend-project-turned-startup ideas in AI. A wave of nearly identical tools, ChatPDF, PDF.ai, AskYourPDF, and dozens of clones, launched doing the same trick: wrap an OpenAI model in a file uploader, charge roughly $10 a month, watch the signups roll in.

Then OpenAI shipped native file upload directly inside ChatGPT. Free. No install. No signup. The entire category didn't get a slow, dignified decline, it got made irrelevant in a single product announcement. Most of these apps are technically still online. Almost nobody is paying for them anymore.

Source: OpenAI

Neeva had everything a startup is supposed to need: founders who ran Google's ad business and built YouTube's monetization engine, $77.5 million raised, and a genuinely good pitch, an ad-free, private, AI-powered search engine that didn't sell your data. Tech press loved it. Early users loved it.

It didn't matter. Google Search is free, Neeva wasn't, and no amount of founder pedigree changes the math on convincing millions of people to pay monthly for something they can already get for nothing. Snowflake eventually acquired Neeva, not for the search engine, for the AI talent. The product itself was shut down within weeks.

Source: Neeva

At its peak, Olive AI was valued at $4 billion and had raised $902 million promising to automate the mind-numbing administrative work that eats hospital budgets alive: prior authorizations, claims processing, scheduling. It was one of the most hyped healthcare AI companies in the country.

Then the automation didn't automate. Investigations and internal reporting found large parts of what Olive sold as AI relied heavily on manual human labor happening behind the interface. Hospitals that had built workflows around Olive's promises were left scrambling. After mass layoffs, Olive shut down entirely and sold off its remaining assets for a fraction of that $4 billion number.

Source: Healthcare Dive

Builder.ai pitched itself as an AI so advanced it could build you a working app just by describing what you wanted, no developers required. Microsoft backed it. It hit a $1.5 billion valuation. The company even nicknamed its AI system "Natasha," giving it a face and a personality investors could root for.

Natasha was, allegedly, roughly 700 engineers in India writing code by hand. Investigations found the company had inflated its reported revenue by nearly 300%, claiming around $220 million against a real figure closer to $55 million. When a creditor seized $37 million from its accounts, the whole structure collapsed, triggering bankruptcy proceedings across five countries at once.

Source: TechCrunch

Backed by Accel and Flipkart, Tune AI built a genuinely useful product: tools for fine-tuning and running large language models, sold through Tune Chat and Tune Studio. For a while, it filled a real gap for developers who needed LLM infrastructure without building it themselves.

The gap closed. AWS, Google, and Azure all shipped equivalent tooling, bundled into platforms most developers were already paying for, at a lower marginal cost than a standalone vendor could match. Most of Tune's users were on the free tier and never converted to paying customers. The infrastructure costs stayed high. The margins didn't.

Source: Tech Startups

Woebot was one of the first genuinely well-regarded AI therapy chatbots, delivering cognitive behavioral therapy exercises to roughly 1.5 million people and earning an FDA Breakthrough Device designation, a real signal of legitimacy in a category full of hype.

That designation became the problem. The regulatory approval process for AI mental health tools moved on FDA time while the underlying AI moved on large language model time, and the gap between the two eventually became too expensive to bridge. Woebot shut down not because it failed users, but because the rules built for a slower era of software never caught up to it.

Source: STAT News

Coqui built the Coqui TTS library, an open-source text-to-speech tool that became the go-to option for developers who wanted voice synthesis without licensing a black-box commercial API. It was genuinely loved in the parts of the AI community that build things rather than just talk about them.

Being loved by developers and being funded by investors turned out to be two different problems. Coqui ran out of money in an increasingly crowded voice AI market, competing against well-capitalized commercial players. Before going dark, the team released its final models to the open-source community rather than letting the work simply vanish.

Source: Coqui TTS on GitHub

Yara was a UK-based AI mental health companion offering CBT-style exercises and conversational support, the kind of product that usually keeps shipping features and raising rounds for as long as anyone will fund it.

Instead, its founder made a call almost nobody in this graveyard made voluntarily: after looking honestly at what the product was and wasn't capable of, they decided AI chatbots simply aren't safe enough for people in genuine mental health crises, and shut the company down themselves rather than keep operating.

Source: Fortune

Founded as Ghost Locomotion by John Hayes and Volkmar Uhlig, the company set out to let ordinary passenger cars drive themselves on highways, raising $63.7 million from investors including Founders Fund and Khosla Ventures. When that didn't pan out on schedule, Ghost pivoted to crash-prevention software and raised another $100 million in 2021 to chase it.

Along the way, Ghost joined the OpenAI Startup Fund's portfolio, gaining early access to OpenAI's models and Microsoft Azure credits, plus a direct $5 million investment. Five months after taking that money, with roughly $220 million raised across its lifetime, Ghost shut down its offices in Mountain View, Dallas, and Sydney and laid off about 100 people.

Source: TechCrunch

Founded by ex-Google exec Adrian Aoun, Forward reached unicorn status in 2021 and rolled out CarePods, self-serve kiosks that used AI to screen and diagnose health conditions, into malls, gyms, and offices across the Bay Area, New York, Chicago, and Philadelphia. The company raised close to $700 million chasing a vision of primary care without a waiting room.

The pods themselves were the problem. Self-service blood draws routinely failed, patients occasionally got stuck inside, and after years of burning through funding on hardware and engineering, Forward had generated less than $100 million in revenue since founding. In November 2024, it shut its locations, killed its mobile app, and laid off around 200 employees, almost overnight.

Source: Fierce Healthcare

Built by former Apple designers, the AI Pin promised to replace the smartphone with a screen-free wearable: a laser projector on your palm, a voice assistant handling the rest. It launched with over $230 million raised and some of the loudest hype in consumer hardware that year.

Then it actually shipped. Reviewers found it slow, prone to overheating, and hard to justify at $700 plus a $24 monthly subscription. Within months, daily returns were outpacing daily sales. HP acquired what was left for $116 million, not for the device itself but for the underlying CosmOS platform, the patents, and the founding team. Every AI Pin still in someone's pocket stopped connecting to Humane's servers at a scheduled deadline, noon Pacific on February 28, 2025, and the cloud data behind it was deleted for good shortly after.

Source: Axios

Tome became the fastest productivity tool ever to reach a million users, hitting that mark 134 days after launch, faster than Dropbox, Slack, or Zoom. It kept growing past 20 million users and raised $81 million from investors including Lightspeed, Coatue, Greylock, and former Google CEO Eric Schmidt, at one point valued around $300 million.

Almost none of those millions of users were paying anything close to what the company needed. Most sat on the free plan or a $10-a-month tier, nowhere near enough to fund the business behind it. Founder Keith Peiris shut Tome down in March 2025, laid off nearly all of a 70-person team down to six, and redirected the survivors toward a new product entirely, an AI sales CRM called Lightfield, a category where buyers actually expect to pay real money.

Source: VentureBeat

OpenAI's standalone Sora app let anyone generate short AI videos, including ones dropping your own face into them through an invite-based "cameo" feature. It launched to enormous buzz, peaked at roughly a million active users within its first weeks, and landed Disney as a partner willing to commit $1 billion in equity to be part of it.

Every video generated was burning through OpenAI's own compute at a reported rate of about $1 million a day, against revenue from the app's entire lifetime that added up to roughly $2 million. Usage kept sliding, down to under 500,000 active users by the time OpenAI pulled the plug in March 2026, redirecting the compute toward coding tools with more predictable revenue. Disney reportedly learned its billion-dollar partnership was ending less than an hour before the public announcement did.

Source: TechCrunch

Atlas was OpenAI's own standalone web browser, ChatGPT built directly into the sidebar with an agent mode that could research, click through, and complete multi-step tasks on live webpages. It arrived with the kind of launch fanfare reserved for a real bet on the future of browsing.

Less than nine months later, OpenAI shut the whole thing down, giving users until August 9, 2026, to export their data before it went dark. The company's own explanation doubled as an admission: agentic browsing works better living inside a browser or app people already use, not as a separate destination competing for a permanent spot in the dock, the same conclusion Google, Microsoft, and Anthropic had each already reached. Whatever OpenAI learned building Atlas is now being folded back into ChatGPT's desktop app and a Chrome extension instead.

Source: TechCrunch

Yupp let anyone test and compare answers from roughly 800 AI models side by side for free, then collected anonymized feedback on which model actually won for a given prompt, data it planned to sell back to the labs building those models. It signed up 1.3 million users, landed a leaderboard people actually checked, and raised a $33 million seed round led by a16z crypto's Chris Dixon, backed by angels including Google DeepMind's chief scientist and Perplexity's CEO.

Less than a year after launching, the founders shut it down. Their own explanation was blunt: the AI models it was built to evaluate improved so fast that the comparison problem it solved kept shrinking, while the real money in model feedback was already going to firms hiring specialty PhD raters to work inside labs' reinforcement-learning pipelines directly, not to a consumer-facing leaderboard.

Source: TechCrunch

theGist scanned a company's Slack, email, CRM, and analytics tools to surface personalized summaries of what actually mattered that day, a real attempt to solve information overload rather than just add another dashboard to check. It had offices in Tel Aviv and New York, around 15 employees, and a founding team with real pedigree: alumni of Wix, Gong, Blizzard, and OpenWeb, including Wix co-founder and president Nir Zohar as a backer.

It raised $7 million in pre-seed funding in November 2022 and shipped its product in 2023. What it never found was sustainable traction, a pivot toward sales-focused use cases didn't gain momentum, and prolonged reserve-duty call-ups for key engineers slowed development further. Rather than force a drawn-out pivot on a shrinking runway, the founders closed the company and returned what was left of investors' money.

Source: CTech (Calcalist)