Bubblemaps is bringing wallet clustering, bundle detection and insider concentration data into the token discovery process, moving onchain risk analysis closer to the point of trade.
For traders chasing newly launched tokens, some of the most useful information often becomes clear only after the trade has gone wrong.
Wallets turn out to be connected. Large portions of supply were accumulated around launch. Addresses that appeared independent can be traced back to common funding sources. These patterns have become familiar territory for onchain investigators examining collapsed or controversial tokens.
Bubblemaps is bringing that analysis closer to the point of entry.
A revamped version of the onchain intelligence platform will screen new tokens for insider clusters and launch bundles before deciding which ones appear in its discovery feed. Traders will also see a Bubblemaps score measuring insider concentration, with the option to examine wallet connections and bundled supply in greater detail.
The result is a different approach to token discovery. Rather than presenting a stream of new launches and leaving users to investigate them afterward, the platform applies onchain analysis before tokens are surfaced.
Two signals sit at the center of that screening. Bundle detection identifies wallets buying within the same block or seconds of a token’s launch, which can indicate activity from sniping bots or teams accumulating their own tokens. Wallet clustering looks for connections between addresses through funding sources and transfer patterns, potentially revealing supply controlled by related parties across multiple wallets.
“People have been using Bubblemaps for years to understand tokens before they buy. Now we’re taking the next step: helping them discover tokens, analyze them, and trade them directly from the same platform,” said Nicolas Vaiman, CEO and co-founder of Bubblemaps
Recent memecoin launches show why that information can matter.
Following the sharp collapse of Hunter Biden’s $LAPTOP token, Bubblemaps reported that more than 80% of buyers, or over 11,500 traders, had lost money. Its analysis also found that 60% of the token’s top holders were fresh wallets with no previous activity, funded within the prior 10 days, with most funded that day. The token had fallen roughly 98% from its initial peak.
Those findings came after the token’s collapse and do not establish that earlier access to the same signals would have prevented losses. They do, however, highlight information about wallet behavior and token distribution that traders could consider before entering a position.
Bubblemaps is now putting that type of analysis directly into the browsing experience. Users can move from discovering a token to examining its wallet structure and, through a newly integrated swap, trading it from the same platform.
The shift does not turn onchain analysis into a prediction engine. Insider concentration or bundled purchases alone cannot determine whether a token will collapse. But moving those signals from the post-mortem into the discovery process changes when traders encounter them, putting information traditionally associated with investigating failed launches in front of users before they decide whether to buy.
