Incerto is an AI-native Copilot for databases. Using context-aware agents, it turns natural language into tasks — like writing queries, schema changes, or moving data — boosting dev productivity 10x with 90% less manual work.
Shiva here, Co-Founder of Incerto. Think of Incerto like "Cursor for databases" — a copilot to interact and work on databases.
🚀 Why are we building this?
There’s no true AI-native database tool built from the ground up with AI Agents at its core — and the few that exist still lack the right context to generate correct queries.
Working with a database isn’t just about connecting AI — it’s about understanding schemas, tables, indexes, workloads, and business use cases.
Current tools either miss real context or suffer from context bloat.
We’re changing that — because CONTEXT IS EVERYTHING (and we take care of it).
🔧 What can you do?
Perform everyday database tasks — from writing and optimising queries to creating schemas, adding data, and managing indexes.
Automate changes e.g., split a column into a new table, validate data, and build the right indexes.
Troubleshoot issues e.g., investigate "Why is memory high between 9–10 AM every day?"
Speed up workflows, add business templates to auto-create schemas, seed data, or generate queries for APIs.
In short: everything you do with a database today, just faster and easier.
👩💻 Who is it for?
Developers, DBAs, Data Engineers — anyone who works with databases.
Teams that want to automate repetitive tasks (write/optimise queries, move data, change schemas etc).
Anyone who’s said things like:
"Why is this AI creating a `users` table? Our `users` table is completely different."
"I just wanted to split a column, why did it break my schema?"
"I copied this query from ChatGPT, but it doesn’t even run on my DB."
🤔 "Is this just another Text-2-SQL?"
Nope. SQL generation is only one small part. In fact, we like to call it "Text-to-Task":
You define a task in natural language.
Our agents gather the right context.
They collaborate to complete the task end-to-end.
🔒 Security Concerns?
Runs locally — no data sent to our servers.
Only outbound calls are to LLM providers.
Database credentials are stored securely (hashed locally).
Got a use case in mind? Drop it in comments, we’ll help you build it.
🙏 Thank you, Product Hunt community!
About Incerto on Product Hunt
“The AI Copilot for Databases”
Incerto launched on Product Hunt on September 4th, 2025 and earned 635 upvotes and 257 comments, earning #1 Product of the Day. Incerto is an AI-native Copilot for databases. Using context-aware agents, it turns natural language into tasks — like writing queries, schema changes, or moving data — boosting dev productivity 10x with 90% less manual work.
On the analytics side, Incerto competes within Developer Tools, Artificial Intelligence and No-Code — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Incerto performed against the three products that launched closest to it on the same day.
Who hunted Incerto?
Incerto was hunted by Shiva Pundir. 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.
Shiva Pundir
Hey 👋 everyone!
Shiva here, Co-Founder of Incerto. Think of Incerto like "Cursor for databases" — a copilot to interact and work on databases.
🚀 Why are we building this?
There’s no true AI-native database tool built from the ground up with AI Agents at its core — and the few that exist still lack the right context to generate correct queries.
Working with a database isn’t just about connecting AI — it’s about understanding schemas, tables, indexes, workloads, and business use cases.
Current tools either miss real context or suffer from context bloat.
🔧 What can you do?
Perform everyday database tasks — from writing and optimising queries to creating schemas, adding data, and managing indexes.
Automate changes e.g., split a column into a new table, validate data, and build the right indexes.
Troubleshoot issues e.g., investigate "Why is memory high between 9–10 AM every day?"
Speed up workflows, add business templates to auto-create schemas, seed data, or generate queries for APIs.
👩💻 Who is it for?
Developers, DBAs, Data Engineers — anyone who works with databases.
Teams that want to automate repetitive tasks (write/optimise queries, move data, change schemas etc).
Anyone who’s said things like:
"Why is this AI creating a `users` table? Our `users` table is completely different."
"I just wanted to split a column, why did it break my schema?"
"I copied this query from ChatGPT, but it doesn’t even run on my DB."
🤔 "Is this just another Text-2-SQL?"
Nope. SQL generation is only one small part. In fact, we like to call it "Text-to-Task":
You define a task in natural language.
Our agents gather the right context.
They collaborate to complete the task end-to-end.
🔒 Security Concerns?
Runs locally — no data sent to our servers.
Only outbound calls are to LLM providers.
Database credentials are stored securely (hashed locally).
✅ How to try it?
👉 Download from our website - https://incerto.in/
🎥 Watch the installation demo - https://youtu.be/AZx8VrAP838
💬 Ask us anything below, we’ll be here all day.
Got a use case in mind? Drop it in comments, we’ll help you build it.
🙏 Thank you, Product Hunt community!