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Market Research / Airdrops

Know what drops, and who catches it

Announced and expected distributions, sized against circulating float rather than market cap, with the eligibility rules and the claim window beside them, so you can tell a token that finds holders from one that finds sellers.

The whole calendar, sized properly

Every distribution ahead, ranked by what it actually represents. A drop 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

  • Confirmed or expected

    An announced date and a rumoured one are not the same event

  • Counted down

    Days and hours to each claim window, live

Who is eligible, and on what terms

Users, testnet participants, liquidity providers, or prior holders: who qualifies changes what a distribution means. Break any drop down by eligibility rule to see whether tokens are going to addresses with a reason to hold them or to ones with none.

  • By eligibility rule

    Usage, testnet, liquidity, holdings, governance

  • Claim window and expiry

    When it opens, and what happens to what is unclaimed

  • Lock-up or immediate

    Whether the tokens can be sold the day they land

Only the ones you hold

Filter the calendar to your own book or to a watchlist, and set an alert on any distribution. A calendar that covers every tracked drop is a reference; one covering the tokens 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 claim opens

    Routed to Slack, Telegram, Teams, WhatsApp, or PagerDuty

Get notified about airdrops and allowlists

An airdrop you hear about after the claim window closed is a distribution you were not in. Set a condition once and the desk is told when a drop is announced, when a claim opens, and when an allowlist you qualify for starts taking entries.

  • On announcement

    The moment a distribution is confirmed

  • On the claim window

    When it opens, and before it expires

  • On allowlist spots

    Routed to Slack, Telegram, Teams, WhatsApp, or PagerDuty

What the book can absorb

A distribution is only large relative to the market that has to take it, and an airdrop arrives in hands that paid nothing for it. Size every drop 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. Comparable distributions sit beside it with the week that followed each one, so the estimate can be judged instead of believed.

  • The week after each

    What the price did, distribution by distribution

  • Sized beside the move

    Whether the larger drops actually hit harder

  • Outcomes, not forecasts

    Including the one that went the other way

Distributions, tracked as far ahead as they are announced

And the expected ones, marked as such
Announced
Every drop sized properly
Against float
Usage, testnet, liquidity, holdings
By rule

Announced and expected airdrops, sized against float and reconciled with circulating supply, so the calendar and the supply figures agree.

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