Tears streaming! The lessons learned from 500 fintech "pioneers" who spent billions of dollars: Did you also buy your $BTC, $ETH too early?

An idea failing at a certain point in time doesn’t mean it can never succeed. In 2017, a startup called Lyrebird received investment from a well-known accelerator. The technology it developed could clone voices using only seconds of audio. The product matured, and the team was excellent. But two years later, it was acquired by Descript, the technology was integrated into its podcast tools, and the brand disappeared.

In 2022, ElevenLabs officially arrived with nearly the same core selling points—high-fidelity speech synthesis based on deep learning. By the end of 2025, its annual recurring revenue reached $330 million; in February 2026, it closed a $500 million financing round at a valuation of $11 billion. The same idea, separated by five years, and yet completely different fates. The fundamental reason was that AI model performance finally reached the required level, and costs had fallen to a level that could be commercialized. The market, at last, caught up to the original vision.

An analyst who previously worked on Plaid’s growth team and assessed thousands of early fintech companies has spent the past year putting together stories like this. He runs a database called Startups.RIP, which uses AI to generate post-mortem reports for all YC companies that shut down or were acquired; it has cataloged more than 1,700 companies so far. He has repeatedly verified a constant rule: coming in too early is, in essence, no different from being wrong about direction.

As early as 2021, people were developing AI agent programming; in 2017 and 2018, elite teams entered the voice-cloning space. They were all too early. Over the past two decades, the accelerator invested in more than 500 fintech companies. In the winter batch of 2022, the share of fintech projects reached 24%, hitting a fever-pitch peak; in the winter batch of 2021, it accepted 56 fintech startups in a single period—more than the total number in its first ten years. But by the end of 2024, that proportion had fallen to about 8%. After the bubble burst, many companies remained—creative ideas, but unlucky timing that left them unable to take off.

Ireland’s prediction market platform Intrade saw more than 50 million monthly visits at its peak, with total wagers exceeding $200 million. But in 2012, the U.S. Commodity Futures Trading Commission (CFTC) filed a lawsuit against it, and the platform closed in March 2013. Five years later, Tarek Mansour and Luana Lopes Lara founded Kalshi. Its core concept was identical to Intrade’s: letting users bet on the outcomes of real-world events.

They didn’t operate in gray areas; instead, they spent three years building a compliant exchange architecture and ultimately obtained the CFTC’s designated contract market qualification. In October 2024, a federal court approved Kalshi to launch election-related contracts, marking a turning point. In October 2025, the platform’s annual trading volume reached $50 billion; later that same month of December, it completed a $1 billion financing round at a valuation of $11 billion. Kalshi’s founders didn’t invent prediction markets—they simply waited until the regulatory environment matured and the market was ready.

Of course, timing isn’t the only factor behind failure. That analyst pointed out that during his time at Plaid, he had seen countless products attract real users and generate revenue, only to still end in failure. Many projects weren’t without demand; it was that the “ceiling” of the niche was too low to support the scalable growth narrative that venture capital chases.

For example, a customer relationship management system designed specifically for real estate agents might generate millions of dollars in profit each year. That would be a success in traditional business, but it falls far short of the $10+ billion valuation expectations that venture funds require. Once a team accepts venture capital, it’s forced to chase a scale the market can’t actually sustain—eventually leading to disaster. The moment it takes VC money, the startup no longer follows only the founders’ own rhythm. Data from CB Insights supports this: among the reasons startups backed by venture capital fail, “bad timing” accounts for as much as 29%.

This research isn’t merely a retrospective of history. Its core point is that AI has fundamentally changed the economic model of turning startup ideas into reality. The accelerator disclosed that in the winter batch of 2025, 95% of the code in one-quarter of the projects was generated by AI. Replit, a programming platform whose revenue had stagnated for years at $2.8 million, saw its annual recurring revenue surge to $265 million by the end of 2025 after AI agent features went live in September 2024—up 1,556% year over year.

Today, the startup bottleneck is no longer technical execution or writing code. The real challenge has become validating whether the idea itself is viable. An idea that was hard to raise a seed round for in 2019 may now require only a single developer; paying $200 per month for an AI programming service could let you build from scratch. Startups.RIP also aligned with this trend: it provides a set of rebuild plans for every archived company, tailored to mainstream AI programming tools. This “startup graveyard” has also become a source of inspiration check-list for the new generation of entrepreneurs.

The accelerator itself often invests in multiple companies in overlapping or closely related tracks in the same period. This may leave founders helpless, but it reveals the institution’s underlying judgment: the uniqueness of the idea matters far less than timing. Capital knows that if an idea fails at a certain stage, it doesn’t mean it will never succeed. For those more than 500 fallen fintech accelerator companies, this may be the most fair epitaph: it wasn’t a wrong way of thinking—just bad timing.

Mapping this logic to the crypto world, every night before a technology iteration or a regulatory breakthrough buries countless “too-early” attempts. The value of $BTC and $ETH has eventually been widely recognized by the market, but much of the capital that went all-in before early regulation was clear and infrastructure was weak often never waited for dawn. Timing is a harsher filter than talent.

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