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VerbaGPT
Connect any database, ask hard questions - secure and easy
VerbaGPT let's you connect any database (snowflake, azure, mysql, postgres etc) and you can ask questions in natural language. Now anyone can extract value from datasets large and small, without needing to code. It has a custom-built harness and context management layer that mitigates hallucinations and allows for fast, efficient analytics.
Hey Product Hunt!
I'm Syed, maker of VerbaGPT. Excited to share what we've been building and improving.
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. This 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.
You can try the product, it comes with demo datasets you can play with. Here are a couple:
1. Machine learning: https://app.verbagpt.com/?demo=1...
2. Healthcare: https://app.verbagpt.com/?demo=1...
3. Weather data: https://app.verbagpt.com/?demo=1...
I'd love your feedback on where we can improve. Thanks for checking us out! Happy to answer any questions.
About VerbaGPT on Product Hunt
“Connect any database, ask hard questions - secure and easy”
VerbaGPT was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #42 on the daily leaderboard. VerbaGPT let's you connect any database (snowflake, azure, mysql, postgres etc) and you can ask questions in natural language. Now anyone can extract value from datasets large and small, without needing to code. It has a custom-built harness and context management layer that mitigates hallucinations and allows for fast, efficient analytics.
On the analytics side, VerbaGPT competes within Productivity, Analytics and Artificial Intelligence — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how VerbaGPT performed against the three products that launched closest to it on the same day.
Who hunted VerbaGPT?
VerbaGPT was hunted by Syed Mehmud. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of VerbaGPT including community comment highlights and product details, visit the product overview.
Syed Mehmud