Be

Bebo – run Clojure scripts on Deno

Hacker News

Bebo – run Clojure scripts on Deno

Made this little thing: https://github.com/borkdude/bebo In the spirit of deno it allows you to install a script from an https location but for Clojure(Script, .cljs). Why would you use this? I love Clojure and I'd love to see it in more places than the JVM and browser. Maybe you do too. It is similar to the idea of nbb which allows you to run .cljs scripts on Node.js via the SCI interpreter: - https://github.com/babashka/nbb - https://github.com/babashka/sci I posted this project yesterday but forgot to add "Show HN"... I hope that is OK since I can't edit my previous message anymore.

Visit product View on Hacker NewsJul 3, 2022

Actual performance

48points

2comments

Made the leaderboard

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% 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.

Correct prediction on native model

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