Curated list of industry news sources

Hacker News

Want to read the latest news in many more industries other than tech? I've curated a list of some of the best industry news sources that me and my friends read. Check it out, and send me an email with a list of your favorite sources so that I can add them to the list. #crowdsourced #highquality #breakthefilterbubble https://docs.google.com/document/d/1iEONrVkEeHboQ7o53N1KDSdOtLohyt1Fw4WcTh3lGew/edit#heading=h.3los352bfcnr

Visit product View on Hacker NewsNov 29, 2016

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Actual performance

2points

Did not reach leaderboard

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

63%63% 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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

50%50% predicted probability of success on Product Hunt, 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

14%14% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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