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LaunchYourApp – A React Native Boilerplate with AI

Hacker News

LaunchYourApp – A React Native Boilerplate with AI

For over two years now I have been developing mobile applications as side projects, and one pain point I have always had is finding a good standard for my projects that could be replicated across almost all of them and that would give me the ability to launch them quickly so I could test different project ideas. With this in mind, I developed a product that solves this problem. The project is called LaunchYourApp, It is a boilerplate in react native, with a complete authentication system including social authentication like apple and google, it also contains several ready-made components to facilitate development in react native, in addition I also added AI, so it contains a ready-made chat in the boilerplate integrated with open ai and also a chat for generating images using Dall-E! I know there are a lot of developers and very good technical people here, so I would really like to hear your feedback! :)

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
80%80% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, google, using · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released
50%50% 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
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
35%35% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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