replay · last 90 min on Robinhood Chain
Robinhood Chain · free during beta

See the crowd before the chart does.

When several people try to buy the same brand-new token and their transactions fail, something is happening. We catch it, filter out the bots and the traps, and tell you.

–clusters spotted today
–alerts sent today
–alerts scored in public
0%of our alerts doubled at some point (token level, since 5 Oct)
0%of the clusters we kept quiet did the same
–tokens scored so far, wins and losses
–median peak after an alert. Not a profit: see below

“Win” = price reached +100% at any point, or was still +30% a day later. Peaks are not what you'd have made. Small sample, a few weeks of data.

Free token checker

Paste a token. See what we'd see.

Runs the same checks we use before an alert: does it trade, is there real liquidity, could a seller actually exit, is it a honeypot. Takes a second. Free while we're in beta.

The scoreboard ·

Every alert. Scored a day later. Public.

Filter it, sort it, search it. Wins and losses, same table.

Scored alerts

Still being scored 24h clock running

Win rate by exit liquidity vs market cap

What a seller could really pull out, compared to market cap. Below ~0.15× we lose money. Above 0.2× we win. That's our filter.

Last 24h: what got filtered clusters

Most clusters are junk. The gap between top and bottom is the product.

Alerts per day wins · losses · open

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Free now. Real-time alerts and a token checker later.

How it works

Five steps, one real alert.

Scroll. The card on the right is an actual alert from our record.

01

Someone tries to buy. It fails.

On a new token, buys often revert: the pool isn't ready, the slippage is off, the crowd got there first. Most people never see these. We read every one, ~100 transactions a second.

02

Then more people do. Same token, ten minutes.

Three or more different wallets failing on the same token inside ten minutes is a cluster. It means people want in.

03

We throw out the fakes.

A single bot can spam from hundreds of wallets. We collapse bundles into one participant and mute swarms entirely, so “12 wallets” means 12 different people, not one script.

04

We check you could actually sell.

Pool “liquidity” can be a mirage: a pool with only the token side shows big numbers while a seller gets nothing. We measure what a seller could really take out, and drop honeypots.

05

Then we alert you, and keep score.

It lands in Telegram with the numbers that matter. A day later we check what happened, and the result goes on the public record. Wins and losses.

The honest part

Our best and our worst.

Look at the last column. A token can peak at +30,000% and be at −100% a day later. That's why “peak” is not “profit”.

Biggest peaks

Worst 24h closes

Free for now

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Free · now

The record, in public

  • Every alert, scored, wins and losses
  • Daily digest of what we caught
  • The filters, explained
Later · members

Live and deeper

  • Real-time alerts, not a day later
  • “They got in” / “They're getting out” follow-ups
  • Paste any token: exit liquidity, deployer history, safety
Read this first
  • This is data, not advice. We don't tell anyone to buy anything and we hold nobody's keys.
  • A “win” is measured from the price at the alert to the highest point. You wouldn't have captured the top.
  • New tokens are risky; many go to zero. Liquidity can be pulled in seconds, even after we check.
  • The sample is a few weeks. Rules changed while we tuned them, so we only count from 5 Oct.