Firebolt – The Productive React Framework

Hacker News

Hey HN, I'm constantly building new things on the web with React and I really just wanted a framework that would get out of the way and let me focus on shipping faster. With all the new features coming to React 19 I started to see the holy grail of frameworks emerge, so I ran with it! The biggest goal of Firebolt is to remain minimal and fast while still providing everything needed to build blogs, docs, tools or full blown SaaS platforms. What I'm most excited about is that you can access your database etc, from inside ANY component, making it possible to build entire platforms by just creating and composing components together! Nothing else! I hope you find this as useful as I do. Any feedback would be much appreciated! - Ash

Visit product View on Hacker NewsMar 21, 2024

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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