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Phil walks through the active address review.

On-chain users · Tron · Solana · BSC · Ethereum · Base

Active address review: high wallet activity does not establish human adoption

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.

DefiLlama chain pages · active addresses, 24h Accounts, not people
ChainActive addressesvs Base
Tron3.52M10.1×
Solana3.39M9.7×
BSC2.20M6.3×
Ethereum569,0151.6×
Base349,0081.0×
TL;DR
  1. Tron (3.52M) and Solana (3.39M) are just 3.8% apart, and each roughly 10× Base (349k). Ethereum shows 569k.
  2. Address counts invert when you look at money. Ethereum has about $90k of DeFi TVL per active address, Solana about $1.9k. Base trades about $3.4k of DEX volume per address, Solana about $650.
  3. Tron's page shows new addresses equal to active addresses at displayed precision. That calls for checking the definition, not concluding every user is new.
  4. Human adoption is unmeasured. Retention cohorts and concentration checks are what would move this from accounts to users.
Dashboard 01

Address activity at a glance

DefiLlama chain pages · separate retrievals, 8 Sep 2026

Tron
3.52M#1
35% of the five chains
Solana
3.39M
130k behind Tron (−3.8%)
BSC
2.20M
6.3× Base
Ethereum
569k
≈ $90k TVL per address
Base
349k
≈ $3.4k DEX volume per address
Five-chain total
10.03M
Addresses, not people; may overlap
Tron new = active
3.52MCheck definition
Same figure at displayed precision
Humans behind them
n/aNot measured
No clustering or bot filtering
01 / Scale

Two chains near the top, then a long drop

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.

Dashboard 02

Reported active addresses, 24h

DefiLlama chain pages · millions

Share of the five-chain total

Multiple of Base

02 / Per address

Fewer addresses, much more money per address

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.

Dashboard 03

Value per active address

Cross-referenced with DashMode's 8 Oct DefiLlama snapshots · Tron TVL and volume not in those snapshots

DeFi TVL per active address

Log scale. Ethereum is about 48× Solana.

Daily DEX volume per active address

Ethereum DEX volume not in the same-day snapshot.

Two rankings, opposite order

03 / Accounts vs people

An address is not a person

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.

Dashboard 04

Three ways the count misleads

How addresses map to people · conceptual

PersonAddress
Inflates the countOne person, many wallets
→

Traders, farmers and privacy-minded users spread activity across many addresses.

Inflates the countBots and scripts
no person →

Automated systems can create and use thousands of addresses a day.

Deflates the countCustodial accounts
→

One exchange wallet can move funds for many customers at once.

04 / A data flag

Tron's new addresses equal its active addresses

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.

Dashboard 05

Possible explanations to check

None verified in this review

◐ To checkDefinition differs

"New" may be counted against a different window or rule than "active".

◐ To checkData or display error

One field may be filling the other on the page.

◐ To checkRounding

Different exact values that round to the same displayed figure.

◐ To checkAddress churn

Heavy use of fresh one-time addresses, e.g. by automated payment flows.

05 / Retention

Who comes back is the better question

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.

Dashboard 06

Same day-one count, different futures

Illustrative cohorts · % of day-one addresses still active

Durable usersCampaign burst

Hypothetical curves. Both cohorts start at 100,000 addresses. Only one is adoption.

Dashboard 07

Same address count, different concentration

Illustrative · share of all interactions generated by the top addresses

Top 1% of addressesNext 9%Remaining 90%

Hypothetical. On Chain B, 1% of addresses produce 70% of the activity: a big count, narrow participation.

Dashboard 08

Evidence scorecard

What the snapshot supports today

Tron and Solana report the most active addresses

~3.5M each, about 10× Base.

● Established
Money per address runs the other way

Ethereum ≈$90k TVL per address vs Solana ≈$1.9k; cross-referenced.

◐ Derived
Tron is firmly ahead of Solana

3.8% apart, separate retrievals, different definitions.

✕ Not supported
Every Tron active address was new

Equal displayed figures call for a definition check.

✕ Not supported
Any chain has the most human users

No clustering, bot filtering or retention data.

✕ Not established
06 / DashMode's assessment

The defensible claim is scale of accounts, not people

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.

Dashboard 09

DashMode's user-measurement method

From addresses towards users

Check definitionsWhat each chain counts as active and new.
Filter automationFlag bot-like patterns and infrastructure addresses.
Track cohortsDay-7 and day-30 return rates by first-active date.
Measure concentrationShare of activity from the top 1% and 10% of addresses.
Cluster cautiouslyShared funding and timing as leads; labels shown as uncertain.
Sources

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.