Querypanel: AI-Powered Visualizations
I’m Csaba, and I built QueryPanel (querypanel.io) — a server-side SDK that turns natural language into SQL and helps products offer AI-driven dashboards to their users. Many tools want to let users “chat with their data,” but building this internally means dealing with schema extraction, LLMs, embeddings, prompt engineering, and accuracy tuning. QueryPanel handles these parts for you. What it does? - Discovers your DB schema automatically - Generates SQL from natural language - Uses embeddings + LLM to improve accuracy - Includes an admin UI to add golden queries and annotate columns -…
Querypanel: AI-Powered Visualizations launched on December 3, 2025 with 3 votes, #4,354 of 11,628 launches that month.
What it does
Let Your Customers Chat with Their Data Server-side SDK for multi-tenant natural language to SQL. Build AI-powered analytics into your product in minutes. We provide the AI backend, you build your frontend.
AI-powered embedded analytics for SaaS: tenant-safe customer-facing dashboards, charts, and SQL that stay in your stack.
Customers expect charts inside your product. QueryPanel is AI-powered embedded analytics for customer-facing SaaS—natural language to parameterized SQL, visualization, and embeds—so PMs and founders stop renting roadmap to wiring databases, auth layers, and chart glue. Built for production: tenant context enforced during generation, parameterized execution, and embed-first UX. Headless SDK, embedded workspace, and MCP support for admin-first AI workflows. From enterprise-grade SaaS to focused local operators, QueryPanel is being shaped against real product surfaces and real customer environments. Fraud prevention platform with global product and data demands. Hungarian food-safety startup…from querypanel.io
In the maker’s words, at launch
I’m Csaba, and I built QueryPanel (querypanel.io) — a server-side SDK that turns natural language into SQL and helps products offer AI-driven dashboards to their users. Many tools want to let users “chat with their data,” but building this internally means dealing with schema extraction, LLMs, embeddings, prompt…
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- ANA Natural Language Query Engine Without Machine Learning2016 · blog.ayoungprogrammer.com · ▲115
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Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…
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