Bubblemaps, an onchain intelligence platform, has launched a major update to its platform, including a new feed focused on memecoin discovery and token research.
The company said the feed screens tokens before displaying them to users, filtering out those showing insider clusters and bundles, which it identifies as onchain indicators of coordinated activity.
A bundle refers to multiple wallets buying a token within the same block or within seconds of its launch.
According to Bubblemaps, such activity can indicate sniping bots or coordinated buying by a project team.
A cluster refers to wallets connected through common funding sources or transfer patterns, potentially indicating that multiple addresses are controlled by the same entity.
Bubblemaps said the new feed applies its wallet-clustering and bundle-detection tools during token discovery, allowing users to identify these signals before trading rather than analyzing them after a token has already gained activity.
“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
The revamp also adds a Bubblemaps score to each token in the feed, giving users a visual indication of insider concentration without requiring them to review a full bubble map.
An integrated swap feature also allows users to trade tokens without leaving the platform.
Bubblemaps said the additions are intended to make onchain signals such as insider concentration and coordinated buying easier to assess during token discovery, including when evaluating potential rug-pull risks.
The launch comes as scrutiny of memecoin launches continues to increase.
Bubblemaps has previously used its onchain analysis tools to examine the distribution and trading activity surrounding major memecoin launches, including claims about concentrated ownership and coordinated buying.
The company said the new feed extends that analysis into the token-discovery stage, allowing users to assess these signals before trading.
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