I built an addon as I was getting distracted in this lockdown period

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Hello Everyone, I was getting distracted in this lockdown period. I started watching lots of online videos and started reading lots of online articles, news papers and forum posts. This ate up lot of my time and I was spending less time on what I should actually be doing. So I built a web browser (Chrome and Firefox) addon to avoid distraction. You can download it from https://switchoff.neocities.org Here are the features of this addon: 1. Unblock specified websites only during a configured time and period of every day e.g. say, youtube can be unblocked only from 7PM to 8PM. 2. Only specified number of browser tabs can be opened to avoid information overload and distraction. 3. All the links that the addon refused to open* is temporarily stored as a list so that you can revisit those links afterwards. Let me know what you think. This is my first addon so any feedback is really appreciated. You can send me your feedback at: switch[dot]off[at]europe[dot]com Replace [dot] with . and [at] with @ in the above email address to get the actual email id. Thanks and kind regards, Ajit [*] Either because that domain was blocked as per addon configuration or because the max open browser tabs limit was reached.

Visit product View on Hacker NewsApr 30, 2020

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Actual performance

2points

Did not reach leaderboard

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

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

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

nativeThis product was originally launched on this platform.

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

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42%42% predicted probability of success on TrustMRR, 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.

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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