Phil walks through the active address review.
Tron and Solana each report around 3.5 million active addresses a day, ten times Base. But an address isn't a person: bots run thousands, one trader can run dozens, and one exchange wallet can stand for millions of customers. Counting addresses measures accounts in motion, not adoption.
| Chain | Active addresses | vs Base |
|---|---|---|
| Tron | 3.52M | 10.1× |
| Solana | 3.39M | 9.7× |
| BSC | 2.20M | 6.3× |
| Ethereum | 569,015 | 1.6× |
| Base | 349,008 | 1.0× |
DefiLlama chain pages · separate retrievals, 8 Sep 2026
Tron reported 3.52M active addresses over 24 hours and Solana 3.39M, a gap of about 130,000, or 3.8% of Solana's count. That's narrow next to how far both sit above the rest: roughly 10× Base's 349k and about 6× Ethereum's 569k. BSC sits between at 2.20M.
These are each chain's own page readings, taken separately rather than as one synchronised count, and each chain can define "active" slightly differently. The scale gap is clear; the exact ordering of Tron and Solana is not something to build a claim on.
DefiLlama chain pages · millions
Set these counts beside DashMode's same-day TVL and DEX-volume snapshots and the ranking turns upside down. Ethereum holds about $90,400 of DeFi TVL per active address. Base about $17,600, BSC about $2,600, Solana about $1,900. On trading, Base runs about $3,390 of DEX volume per active address, Solana about $650 and BSC about $370.
That doesn't mean Ethereum users are richer people. It means the address counts and the money describe different things: many small, frequent accounts on one chain, fewer and heavier accounts on another. Bots and automated routing can inflate the count without moving much value. These ratios mix separate snapshots, so read them as orders of magnitude, not precise figures.
Cross-referenced with DashMode's 8 Oct DefiLlama snapshots · Tron TVL and volume not in those snapshots
Log scale. Ethereum is about 48× Solana.
Ethereum DEX volume not in the same-day snapshot.
An account can belong to an automated system. One person can control many accounts. A single custodial account can hold funds for thousands of customers. Each of these breaks the link between addresses and users, in both directions, so there's no reliable conversion factor from one to the other.
How addresses map to people · conceptual
Traders, farmers and privacy-minded users spread activity across many addresses.
Automated systems can create and use thousands of addresses a day.
One exchange wallet can move funds for many customers at once.
Tron's page displays the same figure for new addresses as for active addresses at the shown precision. Taken literally, every active address that day would be brand new. That is a reason to inspect how the provider defines and covers the metric, not evidence that every participant was new.
None verified in this review
"New" may be counted against a different window or rule than "active".
One field may be filling the other on the page.
Different exact values that round to the same displayed figure.
Heavy use of fresh one-time addresses, e.g. by automated payment flows.
Retention would make this review far more informative. Take the accounts first active on a given day and measure how many return after seven and thirty days, then classify what they do. A cohort that keeps using applications means something very different from a burst of one-off transfers, even if both produce the same daily count.
Concentration matters too. If a small group of addresses generates most of the interactions, a broad-looking count can sit on top of narrow participation. Shared funding sources and synchronised activity can flag cohorts to investigate, without proving common ownership.
Illustrative cohorts · % of day-one addresses still active
Hypothetical curves. Both cohorts start at 100,000 addresses. Only one is adoption.
Illustrative · share of all interactions generated by the top addresses
Hypothetical. On Chain B, 1% of addresses produce 70% of the activity: a big count, narrow participation.
What the snapshot supports today
~3.5M each, about 10× Base.
Ethereum ≈$90k TVL per address vs Solana ≈$1.9k; cross-referenced.
3.8% apart, separate retrievals, different definitions.
Equal displayed figures call for a definition check.
No clustering, bot filtering or retention data.
The snapshot supports one claim: how many addresses each chain reports as active. Tron and Solana lead by a wide margin, and Ethereum and Base trail on count but carry far more money per address. Human adoption remains unmeasured.
Moving from accounts to users needs retention cohorts, concentration checks and careful clustering, with uncertain labels kept visible.
From addresses towards users
Methodology and limits. Values are provider-reported active addresses from separate DefiLlama chain-page retrievals on 8 Sep 2026, not a synchronised census; no wallet clustering or bot filtering was performed. Per-address ratios divide these counts by TVL and DEX volume from DashMode's separate 8 Oct DefiLlama snapshots (chain rankings), so they mix retrievals and are approximate. The five-chain total may double-count entities active on several chains. Dashboards 04, 06 and 07 are illustrative. Exact upstream cutoffs were unavailable. Dated research, not a live feed. Not investment advice.