Building a SQL analyst agent from scratch

Hacker News

I built a SQL analyst agent based on a simple idea: generating SQL is not the same as doing analysis. Most text-to-SQL tools stop at producing a query. But real analysis is iterative. You explore the schema, run queries, adjust, and refine. This project tries to model that loop instead of treating a query as the final output. I wrote about the approach, challenges, and tradeoffs here: https://raminmousavi.dev/blog/building-a-sql-analyst-agent Github repo: https://github.com/raminious/sql-analyst-ai-agent

Visit product View on Hacker NewsApr 27, 2026

Share card

Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: agent, model · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% 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.

Incorrect prediction on native model

Similar products

Building a C Lexer from Scratch73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building a C Lexer from Scratch

Hacker News2

A distributed SQL database from scratch in Go81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A distributed SQL database from scratch in Go

Hacker News7

An experimental distributed SQL database from scratch in Go78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An experimental distributed SQL database from scratch in Go

Hacker News104

Building a language from scratch73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building a language from scratch

Hacker News5

Validating "Scratch for AI agents" before building42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Validating "Scratch for AI agents" before building

Hacker News1

Building a GPT from scratch: What I learned and why it mattered67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building a GPT from scratch: What I learned and why it mattered

Hacker News2

MeshCore – Why do I have to build every agent from scratch?31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MeshCore – Why do I have to build every agent from scratch?

Hacker News1

Nested VMs from Scratch in C66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nested VMs from Scratch in C

Hacker News4

A debugger from scratch – part 166%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A debugger from scratch – part 1

Hacker News3

Javadoc Rewritten from Scratch61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Javadoc Rewritten from Scratch

Hacker News9

Browse all products Analyze your launch