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Vratix – Open source API Modules that simplify backend development

Hacker News

Vratix – Open source API Modules that simplify backend development

Hey HN! I am Ivan, Co-founder & CEO @ Vratix. We've built an Open Source library with reusable API Modules you can copy and paste into your codebase, giving you full ownership, control and customization. We've also created a CLI to automate the setup process, allowing you to get a fully working Node.js backend in a few minutes. To use it run: npx vratix init The product is still early stages, so if you get the chance to try it out, I’d love your feedback on what you think should be improved or what additional features you’d find useful. Full docs here: [1] [1] https://vratix.com

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Actual performance

4points
3comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos
88%88% 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 · Strong signals: created · 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: open source, io · Missing: https docs, excited, just released
62%62% 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 · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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.

Incorrect prediction on native model

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