I Built a Site That Curates Weird YouTube Rabbit Holes Daily

Hacker News

I built Yourabbit.com — a site that curates hand-picked YouTube rabbit holes grouped by themes like quirky psychology, obscure tech, weird facts, and binge-worthy oddities. It’s not driven by the YouTube algorithm — every collection is themed and curated manually (for now), with a backend I’m automating to fetch and organize new rabbit holes daily. Built as a hybrid Astro + Next.js project, optimized for static generation and speed. I’m also pairing videos with custom summaries and commentary (using AI), and would love feedback from the HN crowd on: Content model (too wide? not specific enough?) Scaling ideas or features worth adding Whether it's fun enough to keep people coming back Open to any critique or ideas. Thanks!

Visit product View on Hacker NewsJun 20, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, using · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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