Prisma Python – A fully typed ORM for Python

Hacker News

I created this ORM to fill a gap in the Python ecosystem. Due to the nature of typing in Python there are no other Python ORMs that can provide correct type hints. Prisma Python manages to work around this by auto-generating python types. Aside from static type checking, providing type hints means that you will get autocomplete suggestions for you which for me is the killer feature for this ORM (see the GIF in the README for an example). It's also built on top of Prisma, a next-generation ORM for TypeScript which means that the core query building and connection handling has been battle tested, getting around a potential concern with adopting a new ORM. Prisma Python also supports PostgreSQL, SQLite, MongoDB, MariaDB and more!

Visit product View on Hacker NewsFeb 21, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created · Missing: reddit linkedin, podcasting, latex

76%76% 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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

64%64% 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

46%46% 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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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