App to hide sensitive information while screen share

Hacker News

Hi everyone let me tell you a story, Back 1 year ago I made a blurweb.app as a way to hide sensitive information while I screen share while making youtube videos Blurweb app worked well but because it is a browser extension it was limited to hiding stuff on the web, after multiple requests I finally decided to launch a desktop app with the same purpose. The result is blurscreen.app which helps you hide sensitive info on the screen with a single click. The plan is to improve the app making it better to solve the issue of hiding sensitive info while screen sharing. I will really appreciate it if you check out the demo video I made on the homepage and let me know if you find it helpful in the comments

Visit product View on Hacker NewsJan 28, 2022

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

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best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% 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

43%43% 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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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