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Taffy searches the transcripts of 14 YouTube channels that founders and AI builders learn from, including Y Combinator, a16z and Greg Isenberg: 2,511 indexed videos. Ask a question and the 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'”
- Channels
- 14
- channels
- Videos
- 25
- videos
- Comments
- 340
- comments
Topics
One question, answered across every creator who covers it.
- AI Agents · 4 creators How are businesses actually deploying AI agents, and what works?
- AI Operating System · 7 creators How do you build an AI operating system for your company, and where do you start?
- AI Startups · 5 creators What do 5 founders and investors say about starting an AI startup in 2026?
- Startup Building · 5 creators How do founders and VCs say you should build a startup from zero?
- Startup Ideas · 5 creators How do experienced founders find and validate startup ideas?
- Vibe Coding · 5 creators Can you build a real business on AI-generated code?
Channels in the archive
Every video and every comment on each one. Pick a topic in the box above to ask across the creators who cover it.
Today's featured channel is open to everyone. Pro opens every channel archive for $9 a month.
Y Combinator
2.2M subs
a16z
250K subs
Greg Isenberg
560K subs
Lenny's Podcast
550K subs
Nate Herk | AI Automation
990K subs
My First Million
880K subs
Starter Story
780K subs
AI Engineer
630K subs
Brett Malinowski
520K subs
Nick Saraev
510K subs
YC Root Access
370K subs
Prompt Engineering
250K subs
20VC with Harry Stebbings
190K subs
Peter Yang
110K subs
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
What is Taffy and what does it cost?
Taffy searches the transcripts of 14 founder YouTube channels, including Y Combinator and a16z. Ask a question and the answer cites the episode and the minute. It is best for founders who build with AI. You get 2 questions free with no account, then 5 a day signed in. Pro is $9 a month for unlimited 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.