E2

E2E Type-Safe ORM from Database to API and UI Instantly

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E2E Type-Safe ORM from Database to API and UI Instantly

Hey there. We built the ZenStack open-source TypeScript toolkit on top of Prisma ORM. It adds an Authorization layer to the schema and then automatically generates both APIs and frontend hooks for you. You can choose whatever frontend framework, like React, Vue, or Svelte, and the full-stack framework, such as Next.js, Remix, Sveltekit, and Nuxt, to work with. The generated hooks mirror the Prisma client, providing type-safe frontend queries similar to GraphQL and ensuring a consistent coding experience across both the front end and backend. We hope it can fill some of the gaps left by the absence of frameworks like Rails or Laravel in the JavaScript world.

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: coding, apis, open · Missing: mac, agents, macos
91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
45%45% 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
32%32% 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
29%29% 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
15%15% 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.

Correct prediction on native model

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