Groups Today – June 29, 2026
Blackhat signal types explained: multibuy convergence, hype tiers, caller activity, rescans, AI wallet alerts — what to watch and verify.
What the Alerts Are Surfacing Right Now
The Blackhat Telegram network has been lighting up with the usual noise — and some genuine signal. Let's break down what's popping so you can separate the setups from the traps. This is not a list of runners. This is a field guide to the alert types you're seeing and how to use them without getting burned.
Multibuy Convergence
This is when multiple independent buyers (not the same wallet shuffling) accumulate a token within a tight time window. On GMGN you can spot this by checking the holder distribution and recent buy blocks. If you see 10+ fresh wallets buying within 5 minutes and the supply isn't concentrated, that's a convergence signal. But here's the catch: bots can fake this. Always verify that the buying wallets have prior history — not just created 2 minutes ago. Use the GMGN wallet profile to check age and previous activity.
Hype Tiers
Alerts are sorting tokens into rough hype buckets based on Telegram chatter, tweet volume, and GMGN watch counts. Right now the mid-tier tokens (not the top 10, not the bottom 100) are showing the most organic movement. The top-tier hype is often pre-planned by teams dumping on you. The bottom tier is mostly dead. Focus on the middle: tokens with 200-500 watchers on GMGN and rising volume, but not yet on every shill channel.
Caller Activity
You'll see alerts tagged with caller names — known wallets that have called pumps before. But caller track records are unreliable. A caller who nailed three pumps last week could be exit-liquidity for the next one. Never follow a caller blindly. Instead, look at whether the caller is buying before the alert or after. If they bought 10 minutes before the alert, they're likely trying to exit on you. If they buy after the alert, they might be riding momentum — but so is everyone else. Check the alert timestamp vs. the caller's first buy on GMGN.
Rescans
Rescan alerts mean a token that previously dumped or went quiet is seeing new buy pressure. This can be a dead cat bounce or a real revival. The key metric: volume spike relative to the previous 24h average. A 10x volume spike on a 5-day-old token with no new news is usually a trap. A 3x spike on a token that just announced a partnership or CEX listing might be real. Always check the project's socials before acting on a rescan.
AI Wallet Alerts
These flag wallets that are consistently profitable — supposedly identified by an AI model. Treat these with extreme skepticism. The AI is only as good as its training data, and profitable wallets often get flagged and then change behavior. If the AI says a wallet bought a token 3 minutes ago, that's a signal — but it's also a signal that hundreds of other people saw the same alert and are now frontrunning you. By the time you see it, the edge is usually gone. Use AI alerts as a starting point for your own research, not a buy signal.
What to Be Cautious Of Right Now
- Fake volume: Tokens with high volume but no corresponding holder growth. Check GMGN's trade history — are the same wallets trading back and forth?
- Alert spam: When a token gets 10 alerts in 5 minutes from different sources, that's coordinated shilling, not organic interest.
- Low liquidity pools: Tokens with less than $5,000 in locked liquidity are rug territory. Verify liquidity on GMGN before considering any entry.
- Time decay: Alerts that are 10+ minutes old are dead. The market moves too fast. If you're seeing a rescan alert that's 15 minutes old, skip it.
How to Use These Alerts Educationally
Set up your own filters: ignore tokens with <50 holders, ignore alerts older than 5 minutes, and always cross-reference with the metrics reference. The goal is not to catch every pump — it's to avoid the 90% of tokens that go to zero. Memecoins are extremely high risk. Most projects fail. Treat every alert as a lead to investigate, not a tip to ape.
Stay sharp. Verify everything. The network gives you data — you have to turn it into knowledge.