Follow the activity. Understand the liquidity. Make the market a little less opaque.
Where trading pace meets liquidity depth.
Lattice turns public pool data into an inspectable view of Solana token activity. Every number has a source. Every score has a formula.
We combine DEX Screener’s latest token profiles, latest boosts and top active boosts, taking up to 90 Solana mint addresses. Each token uses its deepest indexed pool. This is a promotion-biased discovery sample, not a ranking of the entire market. Search uses the provider’s search results or an exact mint lookup.
Four observed factors add up to the score. A high score means more measurable trading activity and depth; it does not establish authenticity or token safety. Missing factors produce an unscored token.
Pace = last-hour volume ÷ (six-hour volume / 6). The windows overlap. Above 1.5× is accelerating; below 0.75× is cooling. New pools have partial observation windows and are marked provisional until 24 hours old. Bubble area grows with 24h volume; the horizontal axis is logarithmic liquidity. Pools without positive liquidity or a measurable pace are omitted from the map.
We model a balanced constant-product pool. Quote-side reserves R = USD liquidity / 2. For a USD trade T, illustrative output shortfall = T / (R + T). It measures output lost versus a no-impact trade at the starting price. This is a scenario, not a route quote: actual pool curves, concentrated liquidity, fees and multiple routes can differ substantially.
The interface checks every 60 seconds while visible. Server and edge caches reduce provider traffic, so observations can lag. Scan time records our retrieval, not the time of every trade. Provider outages are surfaced, and cached observations are labeled. Buy share counts transactions, not unique people or dollars. Paid boosts are promotion, not independent demand. We do not measure holders, bundles, mint authorities or liquidity locks.