Bubblemaps, the onchain intelligence platform, is rolling out a major platform revamp today, headlined by a new feed built for memecoin tools and token research. Rather than surfacing every new token, the feed screens them first, filtering out tokens showing insider clusters and bundles, two of the clearest onchain signals of coordinated manipulation, before they ever reach a user’s screen.
The distinction matters for token analysis. A bundle flags wallets that bought within the same block or seconds of launch, typically a sign of sniping bots or a team pre-loading its own token.
A cluster flags wallets linked by shared funding sources or transfer patterns, often hidden supply held by the same insiders under different addresses.
Bubblemaps has built its reputation on surfacing both, and the new feed puts that wallet clustering and bundle detection to work proactively, before a trade happens rather than after.
Bubblemaps introduces trust score and built-in swap in revamp
The revamp also introduces a Bubblemaps score attached to each token in the feed, giving traders a fast, visual read on insider concentration without digging through a full bubble map themselves, along with an integrated swap so users can act on that research without leaving the platform.
Together, the additions are meant to make how to detect rug pulls less of a specialist skill and more of a default part of browsing new tokens.
“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 launch lands as scrutiny of memecoin launches continues to grow, with insider bundling and concentrated wallet clusters behind a string of high-profile collapses over the past year. Bubblemaps has previously used its own tooling to challenge the fairness of major memecoin launches, and positions the new feed as an extension of that transparency push into the moment before a trade, not just after a token has already failed.
This articles is written by : Nermeen Nabil Khear Abdelmalak
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