The "Show HN" Posts of Successful/Popular Companies

Hacker News

Some interesting posts/comments. Meteor (April 2012) https://news.ycombinator.com/item?id=3824908 Codecademy (August 2011) https://news.ycombinator.com/item?id=2901156 Kimono Labs (Jan 2014) https://news.ycombinator.com/item?id=7066479 Firebase (April 2012) https://news.ycombinator.com/item?id=3832877 Dropbox (April 2007) https://news.ycombinator.com/item?id=8863 Watsi (August 2012) https://news.ycombinator.com/item?id=4424081 Heap Analytics (March 2013) https://news.ycombinator.com/item?id=5424206 Product Hunt (January 2014) https://news.ycombinator.com/item?id=7144815 Iron Spread now Data Nitro (June 2012) https://news.ycombinator.com/item?id=4085052 Hackpad (January 2012) https://news.ycombinator.com/item?id=3477081 Cloud 66 (February 2013) https://news.ycombinator.com/item?id=5213862 Filepicker (April 2012) https://news.ycombinator.com/item?id=3864615 Easypost (September 2012) https://news.ycombinator.com/item?id=4538949 ServerDensity (June 2009) https://news.ycombinator.com/item?id=658402

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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% 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

32%32% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, code · Missing: mac, agents, macos

17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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