Community Modifiable Link Aggregator

Hacker News

Hello HN, About a month or two ago, a colleague and I started throwing around the idea of a link aggregator where the design of the site AS WELL as the content was driven by the community.... So.... http://www.permanent-beta.net was born. At the moment (undoubtedly soon to change) a ruby script checks for any pull requests on Github and accepts any made by accounts that meet our incredibly lax standards ( (shares + followers + forks) >= 20 ). PLEASE don't be put off by this if your Github account doesn't have meet this level of activity we still welcome ANY contribution, but it will be lightly vetted to ensure its above board. The idea behind the site is that YOU the consumer can change anything about the site you feel needs changing, as a starting point some things that you may want to have a go at: - Change the points system to something more sensible - UI / UX (currently using Bootstrap and a basic theme from Bootswatch.com) - Some sort of spam prevention - Also, anything... Have Fun!

Visit product View on Hacker NewsMar 26, 2013

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

89%89% 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 HuntUnlikely to reach the leaderboard · Strong signals: activity, using · Missing: mac, agents, macos

40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

28%28% 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

24%24% 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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