Bubblemaps and holder analysis: what buyers see
How clustering tools visualise holder relationships, what patterns they expose, why creators should look first, and what a clean map looks like.
Somebody is about to spend 5 SOL on your coin. Before clicking buy, plenty of them open a clustering tool and spend 30 seconds looking at exactly who else holds the thing and how those holders are connected to each other.
Worth knowing what they'll find, because you can't change it after the fact and it takes 3 minutes to check.
What clustering tools show
Bubblemaps and similar tools take holder data and draw it as a graph.
Each holder becomes a circle sized by balance, lines connect wallets that transacted with each other, and any addresses that funded one another or drew from a common source end up bunched visually together whether or not their owner intended anything by it.
Then the picture does the work. Healthy coins look like scattered independent circles. Fifteen wallets tracing back to one funder look like a constellation with an obvious centre, and nobody needs it explained.
The patterns that get noticed
Four shapes come up repeatedly, and experienced buyers recognise all of them in seconds.
The star. One address at the centre, lines radiating outward to 20 holders. Somebody funded a pile of wallets, and every one of them then bought your coin.
The chain. A funded B funded C funded D, each buying in turn. An attempt to obscure a star that ends up equally visible, just longer.
The whale cluster. Two or three enormous circles holding most of the supply, connected to each other. One decision away from being your entire chart.
The clean scatter. Many independent circles, few connections, no dominant centre. This is what a coin people actually found looks like.
Why creators should look first
Why bother? Because whatever a buyer concludes, you want to have concluded it 3 days earlier.
Open your own mint in a clustering tool right now. What does it look like? If the top 10 are connected and hold 60% between them, that's the picture every serious buyer sees before deciding, and nothing in your description competes with it.
Knowing early gives you options. Knowing after somebody posts a screenshot in a Telegram group gives you none. How to use Solscan covers reading the same relationships manually if you prefer.
What this means for manufactured activity
Now the part relevant to anybody considering a volume service.
A campaign's fleet appears in the transaction history. Whether it appears as a readable cluster depends entirely on how the wallets were funded, and that's the difference between activity that reads as participation and activity that reads as a script.
Twelve addresses, funded in one burst from one wallet 10 minutes before they all bought, draws itself as a star. Hundreds of wallets with varied funding paths, prior histories and staggered timing draws as scatter. Same category of service, opposite outcomes, and the funding pattern decides which one you get. How a fleet gets funded covers why that part is genuinely hard.
Worth asking any service directly: how are the wallets funded, and are they reused across campaigns? Reused wallets accumulate into a permanent cluster that anybody can map back to every coin that service has touched.
The limits of the tool
Two honest caveats, because clustering gets over-read.
A connection proves funds moved between 2 addresses, not that 1 person controls both. Receive SOL from a friend and you show as connected to that friend. Exchanges and shared services create dozens of connections that mean nothing at all.
And absence of clusters proves nothing either. Sophisticated funding produces a clean map, so a clean picture is a good sign rather than a guarantee.
Buyers know this roughly and use the tool anyway, because a bad map is strong evidence even if a good map is weak evidence.
A 3-minute check
Do this before your launch gets attention, not after:
- Open your mint in a clustering tool
- Look at whether the top holders are connected to each other
- Check whether your own creator wallet is visually prominent
- Ask what you'd think if this were somebody else's coin
- Fix what's fixable, and know what isn't
The techniques behind those connections are worth knowing too, and wallet clustering explained covers how the edges get drawn. If the map is clean and the coin still isn't moving, holder analysis was never the constraint. The console prices sustained activity across a wide fleet against a specific window, with the full cost shown before anything is signed.
Frequently asked
Holders as circles sized by balance, with lines drawn between wallets that have transacted with each other. Clusters of connected bubbles mean those addresses are linked on chain.
No. It proves they exchanged funds. That is often the same thing in practice, and buyers treat it that way, but the tool shows relationships rather than identity.
Yes. Solscan shows the same underlying data, just without the visualisation. Clicking through funding trails manually takes longer and reveals the same connections.
Everything in this guide describes mechanics that settle on Solana mainnet, so you can check any of it yourself. Mint addresses, swap signatures, curve progress and wallet counts are all public, and an explorer will disagree with us if we are wrong.
Curvegrad sells a volume service, and guides that touch on what a campaign does say so in the text rather than in a footnote.
- Solana mainnet transaction history, read through the standard RPC methods
- Pump.fun bonding curve and PumpSwap pool accounts as they appear on-chain
- Public block explorers, where every claim here can be verified against a real mint
- Campaigns run through our own engine, which is where the operational detail comes from