Yet Another Node.js Framework

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About a year ago, I stumbled upon a new Nodejs language called "Imba", I found this language to be interesting and it seemed like it had a lot of potential. Doing a bit of digging, I realized no one had created a framework for it, so what did a normal dev do? Well, a normal dev went ahead and created another Nodejs Framework, only this time it was meant for Imba. So what did I create? I created a batteries included Framework heavily inspired by Laravel but it runs on Nodejs, and uses Imba as the default language, but you can actually use TypeScript or JavaScript. In fact, when creating a new project using the Framework, you will be asked if you want to use "Imba" or "TypeScript". You can scaffold an Imba SPA or MPA, you can even use React or Vue, it all depends on what you are used to. For more information, you can visit https://formidablejs.org Keen to hear your thoughts

Visit product View on Hacker NewsNov 27, 2022

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

84%84% 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, using · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% 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

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

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

30%30% 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

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

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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