TDD your own query engine with rgSQL

Hacker News

Hi HN, I created rgSQL, a test suite for query engines. The project helps you TDD your own database so you can learn how to parse and execute SQL. The tests are organised into related topics and build up concepts over time through examples in a similar way to The Little Schema book and From Nand to Tetris. You can read more about the project at https://technicaldeft.com/posts/rgsql-a-test-suite-for-datab... I have also written an accompanying book to guide people through the project and learn how real world databases and query engines work: https://technicaldeft.com/build-a-database-server

Visit product View on Hacker NewsJun 25, 2025

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

62%62% 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: created · Missing: supports, reddit linkedin, podcasting

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

46%46% 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

43%43% 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

28%28% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real world · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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