Yet another JavaScript framework but for Discord bots

Hacker News

Been building this node.js framework for the past 2 years, with multiple versions & iterations and fine tuning. i'm going to expand the discord.js ecosystem with a new, fresh framework for node.js/bun. The framework is based off traditional 'command handlers' that the discord.js community has crafted to organize their code. I try to keep this familiar structure in sern & build upon it. recently, I released version 4 which I am very proud of and hoping you guys could check it out! Always willing to help others get started. Visit our website. We have easy-to-understand guides and documentation. If you ever need help, don’t hesitate to join our discord: https://sern.dev/discord , and we'll be there :)

Visit product View on Hacker NewsJul 19, 2024

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Actual performance

2points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

57%57% 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: new, code · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% 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.

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

33%33% predicted probability of success on TrustMRR, 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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