Watchlimits – Chrome extension to solve excessive video watching

Hacker News

Hi all, I'm an indie hacker and I've been working on watchlimits.com over last couple months. It's a chrome extension that helps you set limits (greatly customizable) and provides you stats and various accountability features. It only runs on the video streaming platforms (not everywhere) and it's privacy centric. Almost all functionality is available for free, but some advanced features only available in the paid version (password protection, allowed youtube channels). It's a pretty niche tool that originated from my own occasional struggles (lost sleep anyone?), even though many people don't have a need to use it, it solves a big problem for some people and that is in itself already a success. If you know someone who would find it helpful, please share!

Visit product View on Hacker NewsSep 5, 2022

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29points

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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.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, occasional · Missing: plus, intuitive, reviews

43%43% 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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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