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CazuApp, a flutter-based delivery app for small businesses

Hacker News

CazuApp, a flutter-based delivery app for small businesses

Hi HackerNews community! We're thrilled to announce a major milestone for CazuApp – the release of version 1.0! This marks a significant stride in our ongoing mission to revolutionize accessibility and efficiency in delivery services. Faced with challenges in existing delivery systems, which were often inflexible, expensive, slow, and non-scalable, we developed CazuApp using Flutter – a robust, cross-platform solution. CazuApp is now available under the permissive BSD-3 license, embodying our commitment to addressing persistent issues in delivery services. Leveraging the latest Flutter version ensures seamless cross-platform compatibility on both iOS and Android. Our tech stack includes Express.js and Sequelize to support various SQL engines, providing a solid foundation for the platform. We're eager to hear your thoughts, ideas, and requests. While we can't guarantee the implementation of every idea, we're dedicated to doing our best to meet users' needs. It's important to note that, as of today, CazuApp features an Express.js-backed API server, an administration app, user (delivery) app, driver (dispatch manager) app, a Redis-powered cache engine, structured logging, and distributed tracing. We want to be transparent about our ongoing efforts to enhance CazuApp. We are actively working hard to fix bugs and address any issues that may arise. The codebase may have some ongoing adjustments, but rest assured, we are committed to resolving them promptly. Join us in the comments section to share your feedback, criticism, or just to say hello! We're also available on our Discord support server, where you can ask any questions. Connect with us through: Website: https://www.cazuapp.dev/ Docs: https://docs.cazuapp.dev/ GitHub: https://github.com/cazuapp Main Github: https://github.com/cazuapp/main-app X: https://x.com/cazuapp Discord: https://discord.cazuapp.dev/ Your support and engagement mean the world to us. Looking forward to connecting with you!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
49%49% 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 HuntUnlikely to reach the leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, users · Missing: mobile apps, personal, entrepreneurs
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
11%11% 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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