ENT Stack – Full-Stack TypeScript Starter

Hacker News

Hey HN, I wanted a simple and batteries-included way to start my full-stack TypeScript projects so I built ENT Stack - a monorepo with Express, Next.js and tRPC. It covers the basics - code sharing (between backend and frontend), auth, DB, validation, state management, i18n, logging, mailing, testing, CI/CD and infra. Its focus is to be minimal, flexible, and scalable. It uses proven libraries (Drizzle, Playwright, TanStack Query, Tailwind, Zod, Zustand ...) with custom authentication, authorization and i18n solutions that are easy to modify or replace. The project also contains an NPM package, so new projects can be created with one command: - pnpm create ent-stack@latest

Visit product View on Hacker NewsJan 30, 2025

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

74%74% 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: new, code · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

36%36% 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

32%32% predicted probability of success on AppSumo, 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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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