VerbaGPT
Make LLMs Actually Useful For Your Data
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Syed Mehmud

VerbaGPT - Make llms actually useful for your data

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VerbaGPT turns natural language into Python code for data analysis—not just SQL queries, but machine learning and custom visualizations. Two modes: • Virgo (cloud): Fast, cost-efficient browser-based analytics. • Taurus (local): Agentic workflows powered by Claude Code Key features: • Data Notes give LLMs context about your schema (no more hallucinated queries) • Prompt Libraries let you package expertise as licensed IP Built for teams who want non-technical users analyzing data.

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Syed Mehmud
Maker
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Hey Product Hunt! 👋

I'm Syed, maker of VerbaGPT. Really excited to share what we've been building.

The problem we're solving:
LLMs are incredible at understanding language, but terrible at understanding your data. Ask ChatGPT to analyze your database and it hallucinates table names, invents columns, and generates plausible-sounding code that fails at runtime.

Meanwhile, people who need data insights can't write SQL. They wait days in data team backlogs while questions pile up.

What makes VerbaGPT different:
Most tools are just text-to-SQL. We built text-to-Python—which means you get statistical modeling, machine learning, time-series forecasting, and custom visualizations that SQL can't do.

We also solved the context problem with Data Notes: an automated data dictionary that travels with your data. Describe your schema once, and every LLM query gets the right context automatically. No more hallucinations.

Two modes for different workflows:
- Virgo (cloud): Production-ready web app for teams. Multi-model support, smart schema selection, chat history.
- Taurus (local): Agentic workflows powered by Claude Code. Iterative problem-solving for complex analyses.

Bonus for consultancies: Package your expertise as Prompt Libraries and license them to clients. Turn niche knowledge into productized IP.

I'd love your feedback on:
- What use cases resonate with you?
- Are we explaining the Virgo/Taurus distinction clearly?
- What features would you want next?

Thanks for checking us out! Happy to answer any questions. 🚀