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Scrub Every Single Mention of Agents from the Browser

Hacker News

Scrub Every Single Mention of Agents from the Browser

agents are for the stupid. the retarded. The absolute bottom of the barrel. Get this extension for chromium and mozilla and redact ANY FUCKING MENTION OF THE DUMBASS-DUMB-SHIT AGENTS WITH A SATISFYING RED SCRUBOVER. Since these retards don't seem to stop polluting hackernews,reddit,x etc with their absolute low bottom bin fodder gayness.. fuck em.. this is the next best thing. https://chromewebstore.google.com/detail/scorched-earth-agen... and https://addons.mozilla.org/en-US/firefox/addon/scorched-eart... it's tiny like <2kb

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, google · Missing: mac, macos, cursor
68%68% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · 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 · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, 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
35%35% 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 · Strong signals: arr · Missing: mrr, revenue, profit
19%19% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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