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Y Combinator

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Technology companyUS United Statesycombinator.com ↗

An American start-up accelerator and investment organisation. In ToTheMoon: 15 episodes from 2024 to 2026, central in 1 of them; most often alongside AI models and assistants and Work, careers, and productivity.

15
episodes
with mentions
1
central
episodes
53
transcript
mentions
Apr 2024
first
mention
Jun 2026
latest
mention

Counted from the transcripts: a role and a mention count are recorded for every episode.

Y Combinator has been on ToTheMoon since the very first episode as a barometer of where entrepreneurial energy is going: the hosts read its batches to see what startups build and whether pitch language turns into business. In 2024 the channel called it the most successful accelerator anywhere and went through a batch of 215 companies, where two teams pitched through avatars on demo day; the conclusion was that a buzzword does not create a market, and a product like Devin is judged by how reliably it works, not by its demo (episode 001).

A second 2024 thread treats Y Combinator as part of Altman's biography. The hosts sensed a campaign to repair his reputation after stories about his exit from the accelerator, and recalled that Y Combinator had invested in OpenAI while Altman was still its director; the counterargument was the scoreboard, since both grew under him (episode 010). Later the channel cited Altman's appearance on the Y Combinator channel promising AGI within a year as a vague forecast (episode 032).

In 2025 the tone hardened. The hosts flagged news that some accelerator startups had ninety-five percent of their codebase generated (episode 050), and the story of an engineer holding jobs at five to ten Y Combinator companies at once exposed how thin hiring checks are (episode 066). The verdict came in episode 072: two years after the fall 2023 batch of 229 AI startups, only a handful had grown several times over, and the most visible startups now cluster around OpenAI, not Y Combinator. By 2026 one host spoke of the accelerator with little deference (episode 098).

role → prominence → date ▾
001 · 2024-04-12The US vs. China, Google vs. Microsoft, Anthropic vs. ChatGPT: Who Really Controls the AI Racecentral010 · 2024-06-16ChatGPT Is Already Useful in Everyday Life, but the Industry Still Cannot Turn AI Into a Proper Productanalysisextra14 · 2026-01-14OpenAI, Google, and Apple Build AI in the Image of Their Own Organizations—and That Is Why Their Products Are So Differentcontext072 · 2025-08-24Meta’s Moderation Failure Shows That Friendly AI Can Be Dangerous Precisely Because People Trust Itcontext066 · 2025-07-13The Interview No Longer Tests the Programmer: AI Is Forcing Companies to Look at Real Workcontext050 · 2025-03-23Chinese Models Are Advancing Through Freedom of Choice, Not the Quality of a Single Answercontext049 · 2025-03-16Manus Sells Finished Work, Not a Smart Model—and That Is Why It Looks Stronger Than ChatGPTcontext032 · 2024-11-17AGI Is Promised for Tomorrow, but No One Has Explained What Is Supposed to Arrivecontext030 · 2024-11-03Claude Can Already Control a Computer, While Apple Intelligence Still Gets in the User's Waycontext118 · 2026-06-07What Will Happen to Our Access to ChatGPT and Claude After Their IPOs. The Main AI Newsbrief098 · 2026-02-22The World of AI Agents Has Already Arrived: A Model Makes Discoveries, Hires People, and Opens New Paths for Deceptionbrief054 · 2025-04-20Half a Trillion Dollars for AI Does Not Eliminate the Main Shortage—People Who Can Build a Productbrief018 · 2024-08-11The US Election Is Reshaping the Technology Market Faster Than It Appearsbrief016 · 2024-07-28Twenty-Eight AI Startups and One Central Question: Where Is the Real Business?brief014 · 2024-07-14OpenAI Is Not Finished, but One Strong ChatGPT Is No Longer Enoughbrief
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