A 3D render of connected chrome spheres Credit: Mehdi Mirzaie on Unsplash For years, some of crypto’s most revealing onchain investigations have arrived after the damage was done. A token collapses, traders lose money. Analysts trace the wallets to uncover concentrated holdings, coordinated buyers or supply controlled by connected insiders. Bubblemaps is now trying to move that analysis earlier in the trading cycle.
A redesigned token discovery experience The onchain intelligence platform is rolling out a redesigned token discovery experience. It uses wallet clustering and launch bundle detection to screen tokens before they are surfaced to users. Instead of treating those tools primarily as a way to investigate suspicious activity after a collapse, Bubblemaps is bringing them into the process of deciding what to trade. The new feed filters tokens showing insider clusters and bundles.
Bundles can identify wallets that bought within the same block or seconds of a launch. Clusters can reveal addresses connected through common funding sources or transfer patterns. Users can then examine those relationships and bundled supply before making a decision. The Bubblemaps score and integrated swap Each token also receives a Bubblemaps score designed to provide a quick read on insider concentration.
An integrated swap allows users to trade without leaving the platform. Together, the changes bring discovery, onchain analysis, and execution into the same interface. The timing matters in a market where important onchain warning signals are often identified only after traders have suffered losses. “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 $LAPTOP example Hunter Biden’s $LAPTOP token is one recent example. After the token surged and then fell roughly 98% from its initial peak, Bubblemaps found that more than 80% of buyers had lost money. That represents more than 11,500 traders. It also reported that 60% of the token’s top holders were fresh wallets with no prior activity, funded within the preceding 10 days, with most funded on the day of the analysis.
Those findings do not mean that identifying the patterns earlier would necessarily have prevented losses. But they illustrate the kind of information traders could consider before committing capital, rather than discovering it during the post-mortem. From post-trade forensics to pre-trade risk detection The broader shift is from post-trade forensics toward pre-trade risk detection. Wallet clustering and bundle analysis cannot determine whether a token will succeed or fail.
But bringing those signals into token discovery gives traders access to information about ownership concentration and connected wallets at the point when it can still inform a trading decision. Contributed article. Not produced by the TNW newsroom and does not reflect the editorial stance of TNW. This listing is not an independent editorial ranking.
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