For people building companies with AI
Which AI model. What it costs to run. How they got users.
Answered from 2,481 AI-builder videos, down to the minute.
Taffy reads every video and every comment on 14 YouTube channels: Y Combinator, a16z, Greg Isenberg, Nate Herk, Nick Saraev and more.
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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...
Watch the cited minute: Lenny's Podcast @ 1:04:18 Read the full answerRead it, then ask it yourself
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Topics
One question, answered across every creator who covers it.
How are businesses actually deploying AI agents, and what works?
How do you build an AI operating system for your company, and where do you start?
What do 5 founders and investors say about starting an AI startup in 2026?
How do founders and VCs say you should build a startup from zero?
How do experienced founders find and validate startup ideas?
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.
Y Combinator
2.2M subs
Nate Herk | AI Automation
990K subs
My First Million
880K subs
Starter Story
780K subs
AI Engineer
630K subs
Greg Isenberg
560K subs
Lenny's Podcast
550K subs
Brett Malinowski
520K subs
Nick Saraev
510K subs
YC Root Access
370K subs
a16z
250K subs
Prompt Engineering
250K subs
20VC with Harry Stebbings
190K subs
Peter Yang
110K subs
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Common questions
Free research reports for people building companies with AI, with a searchable archive underneath. We read every video and every comment on the channels builders learn from, answer the questions that keep coming up, and let you ask the archive yourself. Every answer names the episode and the minute.
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NotebookLM takes one captioned video per source and reads only the transcript. Gemini summarizes a single video. ChatGPT cannot reliably read a YouTube video without a pasted transcript. None of them read comments and none index a whole channel. See the full comparison.
14 channels today. Y Combinator and a16z sit next to Nate Herk and Nick Saraev. AI builders and operators watch every one of them. We add more as the research needs them. Channels featured earlier on other subjects stay readable in the archive. Browse the archive.
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