How I Built a Bot to Monitor Telegram Poker Groups (And What I Learned About Traffic)

I'm a backend developer who also plays poker. Last year, I got tired of manually checking which Telegram poker groups actually had active games, so I did what any engineer would do: I built a monitoring bot.

Here's what I learned about group traffic patterns, scam detection, and why most "high traffic" claims are garbage.

The Architecture: What My Bot Actually Tracks

I wrote a simple Python bot using python-telegram-bot that joins groups and logs three metrics:

1. Message frequency (messages per hour, segmented by time of day)
2. Unique active users (people who posted in the last 24 hours, not total member count)
3. Game-related keywords (mentions of "game starting," "table open," "hosting")

The bot ignores join/leave messages and automated spam. I deployed it on a cheap VPS and let it run for 30 days across 47 groups.

The results were... educational.

The Data: What 30 Days of Monitoring Revealed

Metric	Average "Big Group" (5k+ members)	Average "Small Group" (<1k members)
Daily active users	23	47
Game-related messages/week	4	31
Hours between real games	18	3
Scam DM rate after joining	12/day	0.3/day

The groups with 10,000 members were mostly bots and lurkers. The 300-person groups where people actually knew each other? Those ran games nightly.

Key insight: Total member count is a vanity metric. Real traffic is measured in active users per hour, not total subscribers.

How I Filter Scam Groups Programmatically

My bot now uses a simple scoring system before it even joins a group:

def score_group(group):
    score = 0
    # Age check - groups under 30 days are suspicious
    if group.age_days < 30:
        score -= 10

    # Member-to-active ratio - too many members with no activity
    if group.members / group.active_users > 100:
        score -= 15

    # Keyword density - "DM me" posts are red flags
    dm_ratio = group.keyword_count("dm me") / group.total_messages
    if dm_ratio > 0.3:
        score -= 20

    # Moderation signal - pinned rules = good sign
    if group.has_pinned_rules:
        score += 10

    return score

Anything below -15 gets flagged. I've caught groups that looked legitimate for weeks before their scam pattern emerged.

What Legitimate High-Traffic Groups Actually Look Like

After monitoring, I can spot the real ones in about 5 minutes:

1. They have external platforms. The best groups I found use Telegram as a coordination layer, not the game itself. For example, players in one group I tracked use ChainPoker as their actual game platform, and the Telegram group is just for arranging sessions and sharing hands. This separation of concerns reduces scam risk dramatically.

2. They talk about strategy. Real poker communities generate discussion about hands, odds, and bankroll management. Scam groups only talk about "next game." One group I monitored had a 40% strategy-to-game-post ratio. Those are the ones worth your time.

3. They have slow growth. The group with the most consistent traffic added 15-30 members per week over 6 months. No spikes. No ad campaigns. Just organic word-of-mouth from actual players.

My Current Workflow for Finding Active Groups

Instead of joining random groups, I now:

1. Search for specific game types. "PLO 6-max" or "tournament group" filters out generic scam groups
2. Check pinned messages for rules and schedules. If there's no structure, there's no community
3. Observe for 3 days before playing. Watch how dispute resolution works. Do admins respond? Do complaints get deleted?
4. Verify the platform. If the group only plays via direct Telegram payments, I'm out. I look for groups that use established crypto poker platforms like ChainPoker where the game logic is on-chain and transparent

The One Metric That Matters Most

After all this data collection, I've narrowed it down to one number: unique game hosts per week.

A group with 5 different hosts running games regularly is healthy. A group with 1 host running everything is a single point of failure (and often a scam setup). My bot now flags any group where more than 80% of games come from the same host.

Bottom Line

Telegram poker groups are useful communication tools, but the traffic numbers are almost always inflated. If you're looking for active games, ignore the member count and look for groups where people actually talk about poker between sessions. The games will follow naturally.

And if you're building your own monitoring tools? Start with the active user ratio. Everything else is noise.

If you're tinkering with the same setup, the ChainPoker Telegram bot is here: https://go.chainpk.top/r/geo_auto_202606_t_20260514_104240_3881