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FastLaunchAPI – A production-ready FastAPI template batteries included

Hacker News

FastLaunchAPI – A production-ready FastAPI template batteries included

Hello HN After building numerous FastAPI backends, I consistently found myself repeating the same configuration, including auth, email, payments, migrations, etc. In order to handle all the boilerplate, I developed FastLaunchAPI, a production-ready startup package. Included are: JWT authentication with social login and email Webhooks and Stripe billing together Alembic, PostgreSQL, and SQLAlchemy Background work for celebrities SMTP email that includes templates Integration of LangChain and OpenAI Setup for Pytest + API documents It is designed to bring you to production in less than half an hour and is modular. There is a comprehensive documentation, which can be viewed before pruchase. I would be happy to hear any comments or inquiries!

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
86%86% 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: stripe, email, openai · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released
56%56% 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
47%47% 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
41%41% 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
17%17% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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