
AI Labs Are Buying Data From Dead Startups To Train Their Models is the story worth your time today. The reporting puts it plainly: When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old.
When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old. He’s netted roughly $25,000 for his code base and a still-pending amount (likely around $15,000) for the workspace data in Google, Notion, Figma, and Slack. The sale was brokered by a company called SimpleClosure, part of a new growth sector in tech: businesses catering to dying startups. Estimates from Carta and AngelList show shutdowns rising between 26% and 56% annually in recent years, and an end-of-life ecosystem, including coaches, “death doulas,” and firms that help handle the legal, tax, and operational headaches of going belly-up, has e Now tech undertakers are selling the data remains to AI labs.
Reading between the lines: Now tech undertakers are selling the data remains to AI labs.
What this section comes down to: pick the change that costs the least, measure it, keep or drop it.
Budget perspective on The part most coverage skips: the visible cost is only the entry ticket. Support, maintenance, and the occasional rework are where totals grow. Anyone building a case for this should model the second year, not the first month.
The honest caveat: early coverage of AI Labs Are Buying Data From Dead Startups To Train Their Models tends to overpromise. What survives real usage is usually the boring, verifiable part: checks, measurements, and steady iteration.
The practical takeaway: treat this as a nudge to review your own setup, not a reason to rebuild everything.
SimpleClosure added data sales to its services in April. Its Asset Hub platform helps founders sell their code and workspace data, emails, chats, documents.
Reading between the lines: Its Asset Hub platform helps founders sell their code and workspace data, emails, chats, documents.
Bottom line for this section: stay informed, adjust what is cheap to adjust, and skip the rest.
Decide one thing you will do differently after reading about Labs Buying Data. Write it down, set a reminder, and evaluate in seven days. Progress in this area compounds through small decisions repeated, not big announcements made once.
Headlines rarely explain how a change touches daily work. Workflows need adjusting. Habits need rebuilding. Expectations need correcting. We close that gap from field experience, including the mistakes we made ourselves and how we fixed them.
Take one idea from AI Labs Are Buying Data From Dead Startups To Train Their Models, test it on your own setup, and measure it this week. The rest of the coverage will keep moving; the useful part is what you verify yourself.
Buyers include foundation AI labs, vendors that construct simulated work When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old.
Across Europe, policymakers are weighing AI ambitions against climate objectives.
“At least all that stuff we were doing for two and a half years is worth something to someone somewhere,” he says.
Buyers include foundation AI labs, vendors that construct simulated work
But he’s since turned the firm’s digital archives into real money.
A plan to funnel the heat given off by data centers into nearby homes has run aground in Germany.
Now tech undertakers are selling the data remains to AI labs.
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