Sound Familiar?

Pain Point 1: Want data, but don’t know SQL

You’re a product manager, operator, or founder. You know data matters, but every time you need data:

  1. Ask an engineer or analyst
  2. Describe what you want
  3. Wait for them to have time
  4. Get results that aren’t quite right
  5. Explain again, wait again

A simple data request takes 3 days on average.

Complex ones? Maybe a week.

Pain Point 2: Know SQL, but it’s too slow

You’re a data analyst. SQL isn’t the problem. But complex queries still take time:

A complex query might take 30 minutes of debugging.

Pain Point 3: Data silos, decisions by gut

Your company has data, but only a few people can access it. Most decisions are still based on experience and guessing.

Data-driven? Easier said than done.

What Does Talk to Database AI Solve?

Pain PointTraditional WayTalk to Database AI
Don’t know SQLAsk for help, waitAsk directly, get results
SQL is slowCheck docs, debugDescribe needs, AI generates
Data silosOnly tech can seeEveryone can query

Core value: Lower the barrier to data access.

3 Reasons Why It’s Worth Trying Now

Reason 1: The technology is mature

Since 2024, large language models have significantly improved SQL generation accuracy. Simple queries are over 90% accurate.

This isn’t a concept — it’s a usable tool.

Reason 2: Cost is low enough

Trial cost is nearly zero.

Reason 3: Competitive advantage

While your competitors wait for data requests, you’re already querying data and making decisions.

Data response speed is competitive advantage.

When Is It NOT Suitable?

Talk to Database AI is an efficiency tool, not a magic solution.

Next Steps

If these reasons resonate, check out:

Summary

The core problem Talk to Database AI solves: Let more people access data themselves.

Not replacing SQL, but lowering the barrier. Not replacing data analysts, but freeing their time.

Worth a try.