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Open-Source Postgres API Generator (REST > GraphQL)

Hacker News

Open-Source Postgres API Generator (REST > GraphQL)

Hi HN, We are building a GUI-based API generator for PostgreSQL that turns your database into a production-ready REST API in minutes. Why we built it: Every project starts with Postgres, but getting an API layer in front of it means writing boilerplate or learning GraphQL. Hasura, Supabase, PostgREST are great — but many devs (including us) just want simple, reliable REST APIs which work with existing databases. We wanted something open source, GUI-driven, and enterprise-ready. What it does: Point it at your Postgres DB → generate REST APIs instantly. Build complex queries (deep joins and nested inserts) in a no-code GUI, deploy them as APIs. Works with your existing schema, security, and infra. Deploy on cloud (managed) or export your API as a NodeJS app to Github! Open source: Core is Apache 2.0 licensed. Repo: https://github.com/QueryDeck/querydeck Roadmap: support for MySQL & SQL Server next. Try it: Demo: https://querydeck.io/demo/ Free tier on cloud, or spin it up locally with docker run .... We’re in beta and looking for 100 early users. Your feedback will directly shape the roadmap. Would love to hear what you think!

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, dock, code · Missing: mac, agents, macos
88%88% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released
80%80% 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
27%27% 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
18%18% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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