I hate GoogleNoteLLM so I built my own AI YouTube Curator *hit707users

Hacker News

Hey guys well basically…yeah…I hate GoogleNoteLLM and other AI YouTube Summarizers. They feel meh…boring. I actually like youlearn.ai but it’s built for students. So, as a builder. I built my own AI YouTube Curator, Zeno, and hit #1 Product of the Week on Product Hunt. What I can say is that Zeno is your AI-powered second brain for YouTube. Ah, btw now it’s fully optimized for mobile, with the most evolutionary features in the AI YouTube summary space yet. The best part? Since this last update, I’ve stopped using YouTube. I only Zeno. With Zeno 2.0 on mobile, you can: Import your favorite YouTube channels once → Auto-syncs every new video → Sorted chronologically → No more rabbit holes, only signal Tap once to unlock 8-card insights → Big ideas, quotes, action plans, biz ideas, X post ideas & more → First to import? You generate insights + get rewarded with tokens → Already imported? Dive straight in Generate X post threads from any video → Zeno turns insights into ready-to-post X threads with 1 click → Generate viral threads with video clips, based on insights, quotes and more. → Learn, share, and grow your audience, effortlessly Build Learning Paths → Organize by theme, topic, or skill → Turn videos into mini-courses and structured knowledge → Get rewarded when someone follow your paths Explore “Mood For You” → Find new channels based on mood → Discover what others are saving → Curated by vibe, not algorithm Get rewarded while you learn → Refer friends. Curate first. → Share your collection of videos and insights → Win tokens, unlock raffles, get lifetime perks Built for builders, founders, lifelong learners & creators. Zeno is your new YouTube home. Feel free to DM me! Im looking for partners and cofounders.

Visit product View on Hacker NewsJun 24, 2025

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

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, google, users · Missing: mobile apps, ios, personal

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

AppSumoMay struggle as an AppSumo deal · Strong signals: builder, users · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, 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.

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

14%14% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

Correct prediction on native model

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