Top Quant/Algotrading Githubs Automated

Hacker News

With a seed project defining the audience, determines their most popular Githubs. Interesting results! [1] One journalist was surprised [2] on the Quant and Algotrading results. Github's Rest API [3] is actually quite complex - and has undocumented hurdles. E.g. when there's more than 40K stars the API caps it there - unless you use the GraphQL API... [4] There's a lot more meat on the Github bones. Stay tuned. [1] https://profitview.net/blog/open-source-trading-projects [2] https://www.efinancialcareers.com/news/2022/07/coding-langua... [3] https://docs.github.com/en/rest [4] https://docs.github.com/en/graphql

Visit product View on Hacker NewsAug 13, 2022

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit · 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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