Key Features
Tech Stack
1. How accuracy is handled QueryPanel uses a hybrid approach:
schema embeddings for semantic column/table matching
LLM reasoning for query construction
optional “golden queries” to anchor common patterns If the model is unsure, it returns multiple SQL candidates with confidence scores.
2. Supported databases PostgreSQL and ClickHouse are stable.
3. Deployment model Everything is server-side. You keep your data + credentials. QueryPanel only keeps: table names, columns, and metadata you enrich in the admin UI.
4. Why not build a full dashboard product? Some comments usually ask this. The idea is that most products already have UI — they just don’t want to build the LLM-to-SQL layer. Keeping it as an SDK makes it flexible for SaaS tools, internal dashboards, BI, etc.
5. What I’m looking for
People who want to test NL → SQL for their existing analytics
Feedbacks
Suggestions for benchmark datasets to validate accuracy
Thanks to anyone who takes a look, honest feedback is very welcome.
Not affiliated with Hacker News or Y Combinator. We simply enrich the public API with analytics.