Jo

Joist, the Best ORM, Ever?

Hacker News

Joist, the Best ORM, Ever?

Hi HN; over the last 4 years, we've been building Joist, an ORM for TypeScript & Postgresql, that solves many of the footguns of traditional entity-based ORMs. One of our early adopters challenged us to be less humble in our marketing, and this silly-but-serious blog post is the result. :-) Disclaimer this post assumes a lot of familiarity with ORMs, so that it can focus on how Joist (and the JavaScript + TypeScript stack) has solved these historical issues, but the rest of the Joist docs try to be more tutorial/beginner oriented.

Visit product View on Hacker NewsMay 13, 2024

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

70%70% 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 · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% 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

20%20% 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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