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TokenSeer researches new tokens as they appear and calls the few that pass.

2×5×10×$e 90×$ZEVIO 65×$Agency 62×$CRAWL 18×$ALOIS 16×
Called here560 calls from 25 Sept to 25 Oct, each rising to how far it ran25 Oct

Watch a call play out.

$ZEVIO, called by TokenSeer on 6 October at 15:48.

Multiple1.00×
Market cap$49.5K
Since the callbefore the call
called2×5×10×20×50×-4h-2h+1h+4h+12h+24hCalled 15:48Peak 65×$3.2M, +15h 51m after the call
TokenSeer15:48

BUY Zevio $ZEVIO

Called at $49.5K on Ethereum. Conviction 66.

Zevio is an AI privacy layer on top of the Orbio model, offering cheaper AI model access (up to 45% less) with a privacy billing layer.

A real TokenSeer call. Past results do not predict future ones.

From 25 September to 25 October, TokenSeer made 842 calls: 227 doubled, 65 ran five times, 24 ran ten times, and the biggest ran 90×.

BuyMonitor
1×2×5×10×20×50×$10K$30K$100K$300K$1M$3M$10M

Each dot is a call, placed by its market cap when called and how far it ran. Bigger dots had higher conviction, and dots above the dashed line doubled. A peak is the highest price after the call, not a realised return.

How a token becomes a call.

  1. 01

    Detect

    New tokens are picked up as early attention starts to build, on Solana, Base, BNB Chain, Ethereum and more.

  2. 02

    Profile

    Each token gets a profile: its liquidity, how supply is spread across holders, where the deployer's wallets came from, past launches by the same team, and how fast talk about it is growing.

  3. 03

    Score

    A model trained on thousands of past launches, and on what happened to each, scores how likely the token is to run or to collapse.

  4. 04

    Check

    Honeypots, bundled supply, linked wallets, recycled teams and paid hype are checked for. Tokens that fail are dropped.

  5. 05

    Call

    Tokens that pass become BUY or MONITOR calls, with the reasoning attached, and reach members within seconds.

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A token that passed TokenSeer's research, marked BUY or MONITOR and posted with the reasoning behind it.

With its own models and checks, which we keep private. Each token is reviewed in seconds against more data than a person could check by hand.