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The searchable archive for AI builders, from the experts.

YouTube lets you search one transcript at a time, and ChatGPT can't reliably read a video. Taffy has already indexed 2,511 videos from 14 channels, including Y Combinator, a16z and Greg Isenberg. Every answer cites the episode and the minute.

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Report no. 1 · 10 September 2026 · 11 min read

Vibe coding: what happens after the demo

Twenty-five demos end at the prototype. We read what the audience asked underneath each one, then went back to the tape for the answers.

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From the comments

“Vibe coding is the future unless you need to do 'Vibe debugging'”
907 likes, under Y Combinator's “Vibe Coding Is The Future”
Channels
14
channels
Videos
25
videos
Comments
340
comments

A real answer from the archive

How do you validate an AI startup idea before building?

To validate an AI startup idea before writing code, founders and investors emphasize focusing on the problem rather than the technology, using low-fidelity prototypes to gauge demand, and securing financial or data-driven commitments from early users. 1. Validate the Problem, Not the AI The most common mistake is...

Who it's for

Ideal for

  • You build with AI and learn from channels like Y Combinator, a16z and Greg Isenberg.
  • You want the episode and the minute an answer came from.
  • You read comments as market research.

Not ideal for

  • Channels outside the 14 in the archive.
  • Answers from the whole web, since Taffy answers only from the transcripts it has indexed.

Questions

Why not just ask ChatGPT?

ChatGPT can't reliably read a video, so it answers from memory. Taffy answers from the transcripts it has indexed, and cites the episode and the minute.

Who is Taffy for?

We didn't build Taffy for people who watch every episode. We built it for the builder with a question today and a backlog of episodes they'll never finish.

What if nothing in the archive covers it?

Taffy answers only from what the creators in your topic said. It never makes up a quote, a creator or a timestamp, so a thin answer means the archive is thin on that question.