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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.
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.
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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...