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Block positive reinforcement from HN with uBlock

Hacker News

Block positive reinforcement from HN with uBlock

Inspired by the nytimes post "Luddites don't want your upvotes", and presumably being a Luddite myself, I have used uBlock to block my Karma score at the top of the page. I found myself (on old account) reflexively checking my Karma score and found myself responding emotionally to it. I do not like this. Positive reinforcement can be a dangerous thing! And negative reinforcement make me feel a bit crap. I'm going to post what I think is the right thing, votes be damned! However I do see the use of downvotes for getting rid of stupid comments and spam as a good thing. I see the use of down/upvotes for political ideologies as a bad thing. SO, I simply used uBlock to permanently block "Karma" across HN topbar. Simply go to uBlock icon, press Element Picker Mode (the eyedropper), select the Karma number, and select the Create button. Done.

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Actual performance

9points
5comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
69%69% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
52%52% 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
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% 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
36%36% 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
16%16% 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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Save & revisit every positive feedback

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