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Hacker News thread asks for firsthand accounts of OpenAI's early days and YC Research

A Hacker News post asks readers to share more about the early days of OpenAI and how the organization took shape. The author says they understand that Sam founded YC Research, a non-profit, and that they read OpenAI started when Elon visited YC and met Sam. The author says they are studying institutions that lead to large-impact outcomes and lists contemporary startups such as Cursor among their subjects. The post is a question seeking input from others, not a reported finding.

Source: Hacker News Newest · news.ycombinator.com Published 2026-11-09T14:13:11+00:00 Detected 2026-11-09T18:20:13+00:00
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A Hacker News post asks readers to share more about the early days of OpenAI and how the organization took shape. The author says they understand that Sam founded YC Research, a non-profit, and that they read OpenAI started when Elon visited YC and met Sam. The author says they are studying institutions that lead to large-impact outcomes and lists contemporary startups such as Cursor among their subjects. The post is a question seeking input from others, not a reported finding.

AI-assisted summary based on the listed source.

Got to know Sam founded YC research - a non-profit. And had read in separate sotry how OpenAI started when Elon visited YC & met Sam. Can people share any more thing about early days of OpenAI...How things shaped up? I am studying the role of Institutions that lead to big impact outcomes. I am studying...

Researchers and founders studying how institutions shape outcomes may find the thread useful as a starting point for firsthand accounts of OpenAI's origins. The post itself does not confirm the claims about YC Research or the Elon meeting, so they should be treated as the author's understanding. Watch for replies that cite primary sources or documented histories.

Business readers can use this as a signal of where capital, competition, or market attention is moving.

Signal Strength 88% Technical label WATCH Public Interest 38 Category MONEY Reader Depth GENERAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 51 Practical Impact Score 8 Novelty Interest Score 70 Consequence Score 30 Curiosity Score 0 Shareability Score 53

VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to Hacker News Newest.