Most data tools assume you’ll go to them.
You log into a dashboard.
You click through filters.
You hope someone built the chart you need last quarter.
But that’s not how people actually work.
When you need a quick number, you don’t open BI software. You send a message:
“What were our numbers last month?”
The answer comes back in the same thread.
So the obvious question is: why can’t data work the same way?
Meet data where work already happens
Instead of forcing users into another interface, Queryless runs inside chat apps — Telegram today, others soon.
You ask a question in plain English.
It runs the query in real time.
It returns a clean, structured answer — often with a markdown table and, when useful, a link to an interactive report.
No dashboards.
No new tabs.
No context switching.
Just a message.
Why chat is the right abstraction
Chat has a few properties that traditional data tools don’t:
- It’s already where collaboration happens
- It’s asynchronous and searchable
- It’s mobile-first by default
- It lowers the barrier to asking “simple” questions
For many use cases, people don’t need a complex dashboard. They need a number, a ranking, or a comparison — fast.
Example:
You open the bot in Telegram and type:
“What are the top 5 countries by GDP in 2023?”
The response comes back with:
- A short summary
- A properly formatted table
- Exact figures
- A link to an interactive report (for deeper exploration)
All within seconds. No UI hunting required.
Who this is actually for
This isn’t about replacing BI platforms.
It’s about reducing friction for:
- Executives checking numbers between meetings
- Analysts who need quick comparisons without opening spreadsheets
- Team leads sharing verified data in group chats
- Developers who want a lightweight way to query structured datasets
If someone has a question about data, they shouldn’t need to become a data analyst to answer it.
The bigger shift
The interesting part isn’t just “chatbots for data.”
It’s the interface shift.
We’ve trained ourselves to believe data must live in dashboards. But dashboards are optimized for exploration — not for answering single questions quickly.
Chat flips the model:
- Question first
- Structured answer immediately
- Optional deeper dive
As LLMs improve and structured querying becomes more reliable, embedding data access directly into communication channels feels less like a feature — and more like the default.
Try it
There’s a public demo agent running on Telegram with economic and commodity datasets (GDP, inflation, oil, gold, natural gas, etc.).
Open the bot and ask anything.
The real test isn’t how flashy it looks.
It’s whether you ever feel like opening a dashboard again.
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