Pg_dbml – A dependency-free CLI to export Postgres to DBML

Hacker News

I built this because I needed a clean way to feed my database schema to LLMs (Claude/Cursor) to get better context for coding. Most existing tools felt too heavy—they required Node.js, Python, or complex setups. I wanted something that follows the Unix philosophy: a simple tool that uses psql to talk directly to pg_catalog. It's a single SQL script wrapped in a CLI that produces clean DBML. No external dependencies, just pure SQL. I'd love to hear what you think about the output format or if there are any edge cases in Postgres schemas I should handle better!

Visit product View on Hacker NewsApr 23, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, context · Missing: mac, agents, macos

80%80% 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

56%56% 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: exist, existing · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% 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

17%17% 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.

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