Ki

Kinetic SQL – A lightweight, real-time SQL Engine for Node.js

Hacker News

Kinetic SQL – A lightweight, real-time SQL Engine for Node.js

Hi HN, I'm the author. I've spent years building Node.js backends (mostly Express and NestJS) and I’ve consistently found traditional ORMs like TypeORM too heavy, while Prisma’s subscription models didn't quite fit my need for lightweight CDC (Change Data Capture). I wanted something universal that felt closer to the metal but still handled real-time events seamlessly. Over the past couple of days, I built Kinetic SQL. It's a thin, highly flexible SQL wrapper for Node.js (supporting Postgres, MySQL, and SQLite). The CORE focus: Framework Agnostic: Works beautifully with Express, Fastify, or Vanilla Node, with a dedicated seamless-integration module for NestJS included as a bonus. Real-time Subscriptions: Listen to table changes (INSERT/UPDATE/DELETE) natively and push to clients (perfect for live dashboards). Zero-Touch Interfaces: The CLI (npx k-sql gen) reads your schema and auto-generates absolute type safety. No more writing interfaces by hand. Native DB Functions: Call your database procedures directly as native JavaScript methods. To stress-test the real-time engine, I built a high-frequency stock market simulator (running on a free Vercel/Render stack with a 0-second cold start): Live Demo: https://live-stock-simulator.vercel.app/ NPM: https://www.npmjs.com/package/kinetic-sql I'd love to hear your thoughts on the API design. (P.S. MSSQL support is coming soon!)

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, 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
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nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, soon · Missing: plus, platform, intuitive
38%38% 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
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
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BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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