I created a Chrome extension to help keep good posture while browsing

Hacker News

Hey HN, this is a small project I created that blurs your browser window whenever you start slouching. I'm sure it can be improved, but I wanted to put it out there in case anyone was interested. Links to the github repo [0] and the extension on the Chrome Webstore [1]. I'd love to get some feedback on it. [0] https://github.com/killa-kyle/posture-posture-posture-chrome... [1] https://chrome.google.com/webstore/detail/postureposturepost...

Visit product View on Hacker NewsNov 27, 2022

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

61%61% 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.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

23%23% 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

14%14% 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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