built a tool that watches youtube videos (not just the transcript) and extracts different types of structured output depending on what you need.
16 templates: code extraction, bias detection, playbook building, agent skill specs. free to try
built a tool that watches youtube videos (not just the transcript) and extracts different types of structured output depending on what you need.
16 templates: code extraction, bias detection, playbook building, agent skill specs. free to try
KEY FINDING:
Chamath admitted to a mistake in Nov 2021 of not de-risking his portfolio sufficiently, despite signals from "best capital allocators" like Musk and Bezos, because he confused "growing fame" with "growing skill," highlighting how even top investors succumb to ego.
ran a bias audit on a crypto video with 500K views
findings... trust score came back 2.8/10
the information asymmetry in crypto YT is wild. built a tool to quantify it 😎
ran knowledge extraction on a trading video... the AI caught the speaker claiming their model 'smashed all benchmarks' while the on-screen data showed it lost in 5 out of 9 categories
🥴🤨🤔
the math on watching youtube tutorials
average tutorial: 15 min
pausing to copy commands: +10 min
rewinding to catch config values: +8 min
googling what you missed: +12 min
total: 45 min for 15 min of content
or: paste URL → 40 seconds → everything extracted, copy-paste ready
KEY FINDING:
◆ Emergence of "agentic payments" via platforms like Stripe, enabling AI agents to issue virtual cards for transactions (e.g., ordering lunch), signals direct financial integration of autonomous agents into real-world commerce, moving beyond mere info processing.
weird use case i didn't plan for but people keep doing:
watching a strategy video where someone explains how they do something, then running Skill Seed on it
it extracts the decision logic and YAML workflow specs, basically converts "how i do X" videos into agent skill cards
KEY FINDING:
◆ The most critical factor for YT success, often overlooked by creators, is selecting a topic with high "viral probability" (audience demand/curiosity triggers), as even perfect SEO, retention, and thumbnails are useless if nobody is searching for that topic.
most YT "AI summary" tools read the transcript
the problem: in a 15 min tutorial, about 40% of the useful information is only shown on screen
terminal commands, config files, folder structures, UI clicks, error messages
none of that is in the transcript
vidskiller solves it ❤️🔥
KEY FINDING:
◆ YouTube's algorithm now prioritizes "satisfaction over retention," meaning it cares more about whether a viewer stays on the platform after your video, rather than just how long they watched your specific video.
more YT insights below 📼❤️
◆ "Niche quilting" is highlighted as a highly effective new strategy where creators find viral video formats from other niches and adapt them to their own topic, as copying direct competitors is now a "path to nowhere."
Most YouTube creators are optimizing the wrong metrics in 2026.
Watch time is dead. The algorithm now rewards Audience Retention Velocity in the first 15 seconds + comment velocity. I’ve seen channels 3x CTR by fixing just this.
Who wants the framework? 👇