I'm building a new Bubble – for tech and non-tech people

Hacker News

Website: https://codesmash.studio/schema Demo: https://youtu.be/aBT0qPnl42U Okay guys, I'm building a new No Code platform. The biggest problem with current No Code app builders, from what I can tell, is the lock-in. That's why I'm making sure to build a No Code platform where you will have access to all of your code, which will be saved in Git repos by default. This way there will be no lock-in. The devs will be able to access the code with VS Code, so they can work in sync with non-tech guys, who will be using the UI. You can think of it as NPM for fullstack apps. Users will be able to compose apps from repos. Repos will be provided by the community, so any frontend, backend or infrastructure code can be reused in building new apps. Currently, I'm working on supporting Terraform to create composable AWS infrastructure. Feature requests are welcome and I'll add them to my roadmap!

Visit product View on Hacker NewsFeb 15, 2023

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

84%84% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% predicted probability of success on AppSumo, 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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