Startingcondition.com – “Who goes first?” from open source conditions

Hacker News

https://startingcondition.com Hello HN! I wrote this little tool as a way to change up the flow of our daily stand-ups. Whoever best meets the starting condition—as determined by the group or moderator—starts. It's been a fun way to learn more about the team in an unexpected way. The list of conditions are thought of by contributors to the project: https://github.com/higgins/starting-condition It supports multiple languages and its an npm package too! Lastly, if any of you have access to GPT-3, I'd love to generate a GPT-3 "language" option. ️

Visit product View on Hacker NewsAug 27, 2020

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75%75% 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 HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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