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Hacker Tools - Open Source Chrome extension for Hacker News.

Hacker News

Hacker Tools - Open Source Chrome extension for Hacker News.

Link: http://www.gethackertools.com Hey guys, I love Hacker News like all of you do, I spend a good portion of my time reading interesting content and the best, your replies... My only gripe is extra functionality that I know PG doesn't want to have to deal with... So I came up with this idea to make a super extension that does all the things I want, plus merges all the other cool HN extensions into one... Only problem? I don't have much time to put into it, so I figured why not open source it, and allow anybody in the community to fork it, improve it, add functionality, whatever they want, so all of us can benefit from a great extension. My vision for this extension is basically like Reddit's RES which has TONS of functionality and extras right ontop of Reddit and everybody loves it. Today I put in the first bit of code on the extension and pushed it for usage. Currently the first feature is highlighting of OP's replies in threads. (http://d.pr/i/sIzR) So guys, go ahead and fork it, add features, whatever, I am open to pull requests and everything. I want it to be something we all can work on together, and be proud of.

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Actual performance

9points
4comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, code, open · Missing: mac, agents, macos
76%76% 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
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, hacker news, ide · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% 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.

Correct prediction on native model

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