VidNav – A better way to navigate YouTube chapters

Hacker News

As someone who spends long hours coding and working on a computer, I often listen to music mixes and podcasts on YouTube. I'm sure I'm not alone in this. While there are plenty of apps for podcasts and music discovery, I found YouTube's chapter navigation lacking. I wanted a tool that would let me: - See the video structure at a glance - Browse chapters easily, like a media player So, I built and published the VidNav extension. I'm eager to hear your feedback, criticism, bug reports, and feature suggestions. Thank you in advance! P.S.: I later discovered a solid alternative called "Video Chapters for YouTube," which is unfortunately buried in the Chrome Web Store when searching for "YouTube chapters." It works well and is well-integrated, but it didn't quite meet my needs. If you have another solution that you're happy with, I'd love to hear about it.

Visit product View on Hacker NewsMar 22, 2023

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

85%85% 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: apps, computer, coding · Missing: mac, agents, macos

77%77% 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

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, 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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% 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.

Correct prediction on native model

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