Building Web Apps (MERN stack) in a matter of minutes for your Startup

Hacker News

Hey guys! I’ve been working on Neutrino JS ([neutrinoJS.dev](http://neutrinoJS.dev)), a powerful engine that allows you to build complex MERN stack applications, both frontend and backend, lightning fast! I know how hard it can be when building a technical startup, coding hours on end just to launch an initial MVP. In order to solve this problem, I decided to build Neutrino, so that people can speed up their development process and focus on gathering customers and feedback instead of spending all of their time building a prototype of MVP. I have been working on this for a few weeks now and finally have decided to launch it for initial testing. I think the startup industry is a target segment for Neutrino, and would love it if you guys could test out the application and provide any feedback. If you do have the time to test out the app and want to leave feedback, there is a link to a Google Form when you export a project. *I truly appreciate your time, and hope that this small project has helped you in your own coding adventures!*

Visit product View on Hacker NewsFeb 28, 2022

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Launch Intel predictions

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

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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

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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