Market Research / Unlocks

Know what unlocks, before it does.

Vesting cliffs and release schedules across every token you hold or watch, sized against circulating float rather than market cap, so you can tell a routine release from the one that moves the price.

The whole calendar, sized properly

Every scheduled release ahead, ranked by what it actually represents. A tranche is measured against the token’s own circulating float, because the same dollar value means one thing for a large float and something else entirely for a small one.

  • Sized against float

    Not against market cap, which hides the impact

  • Cliff or linear

    A cliff and a drip of the same size are not the same event

  • Counted down

    Days and hours to each release, live

Who is being unlocked to

Team, investor, treasury, or ecosystem: the recipient changes what a release means. Break any schedule down by allocation bucket to see whether tokens are going to holders with a lock-up behind them or to ones with none.

  • By allocation bucket

    Team, investors, treasury, community, ecosystem

  • Full vesting curve

    The whole schedule ahead, not just the next cliff

  • Supply already released

    What is circulating against what is still locked

Only the ones you hold

Filter the calendar to your own book or to a watchlist, and set an alert on any release. A schedule that covers 340 tokens is a reference; a schedule covering the eleven you actually hold is a workflow.

  • Filtered to your positions

    Only the tokens your desk is exposed to

  • Watchlist any token

    Personal or organization scope, shared with the desk

  • Alert before the cliff

    Routed to Slack, Telegram, Teams, or PagerDuty

What the book can absorb

A tranche is only large relative to the market that has to take it. Size every release against the turnover behind it, so a number that looks alarming beside the float can be read against the volume that would actually have to clear it.

  • Against daily volume

    Not against float, which cannot say if it clears

  • Read as a share of a session

    A bar against the day, not a ratio to divide

  • Modelled impact

    What a book of this depth implies, labelled as such

What the last four actually did

The modelled figure is an estimate, and an estimate shown on its own invites being read as a forecast. Every previous tranche for the token sits beside it with the week that followed, so the estimate can be judged instead of believed.

  • The week after each

    What the price did, tranche by tranche

  • Sized beside the move

    Whether the larger releases actually hit harder

  • Outcomes, not forecasts

    Including the one that went the other way

Supply, tracked as far ahead as it is published

Tokens with tracked schedules
340+
Every tranche sized properly
Against float
Team, investor, treasury, community
By bucket

Vesting schedules across every token with one, sized against float and reconciled with circulating supply, so the calendar and the supply figures agree.

Every tool takes a token as an input.

The research tools are not a separate product. Point any of them at a token and it works the way it does everywhere else, on the same data this page is built from.

Compare

Any token against any other, on shared axes

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Correlation

What a token actually moves with, measured

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Relationships

Every record a token connects to, in one graph

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Indicators

Sentiment, dominance, and volatility, read together

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Notes and discussion

Argue about it where it sits

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Save it to a watchlist

One click, from any row in the product

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The news that moves it

Every source type, in one stream

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Alert when it moves

Delivered to Slack, Telegram, Teams, or your phone

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Ask Seera about it

Send the view to the assistant without leaving it

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