A

A new-age no-code platform

Hacker News

A new-age no-code platform

Hey hackers! For the past 2 years, we have been building a no-code application that lives upto its name enabling users to develop an application from scratch to deploying it in three simple steps: Create models(read database tables if it makes sense); setup the permissions - app level and database level; generate beautiful UI automatically and just simply add/remove styles as per your liking. Then just hit deploy and let the platform do all your grunt work of setting up databases, handling the requests, proper permissions, authentications and many such things which are just trivial in building a business. At Brokenatom, we believe that an application should be an aid to your business, not a hindrance. With that in mind, we have simplified and automated every step of the way that can be optimised. Our vision is to empower anyone to build an application without any prior knowledge of traditional coding or hiring a huge software team to do that. Our website is at https://brokenatom.io and platform is at https://dev.brokenatom.io . We would love to hear any and all feedback possible and we promise to take it all in and improve our system to perfection. Cheers, Arun.

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Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, new · Missing: mac, agents, macos
91%91% 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
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
79%79% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, 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
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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