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Tampermonkey script that modify search result URLs for redirection

Hacker News

Tampermonkey script that modify search result URLs for redirection

Recently, I'm playing with javascript and complete a tampermonkey script with the help of ChatGPT. I got inspiration from the browser plugin 'Redirector'. It's just a personal hobby mini-project which might contains some glitches. Currently, the script supports Google, Yandex, SearXNG, StartPage, Brave, DuckDuckGo, Qwant, Ecosia, Swisscows, Metager, 4get, Stract, eTools, Mojeek, Yep, Torry. And there're a bunch of built-in regex redirection rules in the script. I'm looking forward for advices on improving the script, regarding performance, code structure etc.

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Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, chatgpt, code · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, google · Missing: mobile apps, ios, entrepreneurs
50%50% 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
39%39% 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
32%32% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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