I Built a Telegram Bot for Faster Token Research

If you spend any serious time in crypto, you know the problem: even a basic first-pass review of a token means jumping across too many tabs.

Twitter/X for narrative. DexScreener for price and liquidity. Bubblemaps and Holderscan for holder structure. Prediction markets for event risk. And then your own notes on top of that.

I wanted something faster.

So I built a Telegram bot that gives me a compact research snapshot in one place.

What the bot does

At the moment, it has four core modules:

1. KOL / X Analysis

The bot pulls real Twitter/X mentions and tries to answer a simple question: who is talking about this token, and what kind of signal is it?

It looks at:

• influencer mentions
• engagement
• audience size
• post links
• whether the activity looks organic or coordinated
• an overall score and short verdict

This is useful when you want a quick read on whether a token is getting real attention, low-grade shilling, or a mix of both.

2. CLMM / Liquidity Snapshot

The bot also checks concentrated liquidity pools through Krystal API and returns the top pools by TVL and APR.

That gives a fast view into:

• where liquidity actually sits
• whether yields are real or likely temporary
• whether the market structure looks healthy enough to care

3. Cluster Analysis

For holder structure, the bot gives fast links to tools like Bubblemaps and Holderscan.

This is not meant to replace manual on-chain work. It is meant to reduce friction: open the right tools faster, spot suspicious concentration faster, move on faster.

4. Prediction Markets

This is the newest layer.

The bot checks Polymarket as an event-risk overlay:

• first for direct market matches
• then for broader narrative matches
• and if nothing relevant exists, it says so clearly

This is important because prediction markets are not a token price oracle. But they are useful for understanding which events the market is actually pricing in.

Why I built it

The short answer: I wanted less tab-switching and faster signal extraction.

The goal is not to automate conviction. The goal is to compress the boring part of research.

A bot like this will not replace judgment. It will not replace deep due diligence. It will not save you from bad decisions.

But it can help you get from “What is this?” to a structured first impression much faster.

What I care about in tools like this

For me, a good crypto research tool has to do three things:

• save time
• reduce noise
• avoid fake certainty

That third point matters most.

If data is missing, the bot should say data is missing. If markets are weak, it should say the signal is weak. If there is no relevant prediction market, it should not pretend otherwise.

That honesty is more useful than a polished but misleading output.

Current stage

Right now the bot is still in beta.

I am testing:

• output quality
• signal usefulness
• UX inside Telegram
• how well the different modules fit together

The product direction is simple: make it easier to run a fast, structured first-pass analysis on a token or project.

Final thought

Crypto research usually breaks down in one of two ways: either it is too shallow, or it is too slow.

I built this bot to improve the second part.

If you want a faster way to check narrative, liquidity, clusters, and event-risk in one place, this is the kind of workflow I think will become standard.

Still early. But already useful.