Th

This IS FREAKING COOL

Hacker News

This IS FREAKING COOL

Sorry for the bold text but I had to get your attention some how. So know that you are here, I really have a good question to ask you.......... Um can you tell me what you think about my site.. here is the link: www.getintoycombinator.com So I built the site to help me keep up with all the information there is to know about getting into y combinator and it kinda just snowballed into a little project of mine. Again check it out and don't forget to book mark the site because it does have all resources you will ever need and I am constantly updating it. Also blog about it if you want www.getintoycombinator.com......... oh oh oh oh wait last thing............................................................................................... can you please push this to the top thanks :)

Visit product View on Hacker NewsMar 19, 2014

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

68%68% 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.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

42%42% 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: 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 · Missing: mobile apps, ios, personal

31%31% 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

15%15% 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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