Solana’s Raw Activity Metrics: Speed Doesn’t Equal People

Solana is frequently held up as the blockchain with massive activity, with proponents pointing to its transaction throughput and sheer number of on-chain events as evidence of widespread adoption. On paper, the network is capable of processing extremely high transaction volumes — orders of magnitude above legacy chains like Bitcoin and Ethereum — and observers have recorded peaks measured in thousands of transactions per second. Solana’s architecture is purpose-built for this kind of volume, with fast block times and parallel processing.

However, TPS — transactions per second — is a throughput metric, not a user count metric, and it can be heavily inflated by automated traffic. While some dashboards trumpet millions of transactions as proof of mass adoption, those figures include everything from smart contract execution to bot loops and programmatic trading. Simply put, a blockchain can generate a huge number of transactions without involving many actual users. High TPS doesn’t necessarily reflect high human engagement.

Human vs. Bot Activity: What the Dune Data Shows

A recent Dune Analytics study looked at wallet activity on Solana over a 30-day period, analyzing more than 44 million addresses and classifying them as human or bot. According to the methodology, over 98 percent of wallets were labeled as human-operated, with only a small fraction falling into the bot category.

While these numbers might seem encouraging, the methodology raises questions. Determining whether a wallet is human or not based solely on behavior is difficult, especially since bot operators often use thousands of wallets to mask their activity. The definition of “human” in this case is based on indirect signals and heuristics — not confirmed identities. As a result, we must be cautious when interpreting these stats at face value.

Retention and Real Repeat Engagement: A Deeper Look

If we dig deeper into user retention metrics, the story becomes more revealing. One cohort analysis of Solana DEX users between late 2024 and mid-2025 showed that less than 4 percent of users who interacted with the chain one day came back the next. Over a 30-day window, only about 1 percent of wallets re-engaged. After three months, user retention dropped to below 0.5 percent, and after a year, it was nearly negligible at just 0.3 percent.

By contrast, Ethereum DEXs show stronger user retention across all timeframes. That suggests Ethereum has a smaller but stickier user base that comes back repeatedly — a hallmark of real utility and adoption. Solana, on the other hand, seems to be attracting a large number of temporary participants or one-off interactions, which is more consistent with short-term speculation or bot activity.

Bots, Algorithmic Trading and Speculative Amplification

There’s substantial evidence that much of Solana’s activity is driven by bots and algorithmic trading. Research shows that nearly three-quarters of trading volume on Solana decentralized exchanges comes from automated activity, compared to less than half on Ethereum. The design of Solana — fast blocks, low fees — is perfect for high-frequency trading bots that arbitrage prices across platforms or manipulate liquidity pools.

This traffic doesn’t necessarily signal adoption by users. It represents speculative infrastructure that profits from transaction speed and low cost. While such activity can help bootstrap liquidity and build some momentum, it rarely translates into long-term user stickiness.

Transaction Fees and Failure Rates: Another Lens

Transaction fee behavior on Solana also provides some insight. A sizable chunk of transaction fees has historically gone toward failed transactions — another symptom of bot-driven activity and transaction spam. Although failure rates have improved, the frequency of invalid or duplicate transactions remains a meaningful portion of activity. This isn’t typical of human behavior, where users generally aim to complete successful, deliberate actions. High volumes of failed transactions signal an environment optimized for machines rather than people.

Comparisons to Bitcoin and Ethereum: Less Than It Appears

Putting Solana’s activity into context with other major chains is helpful. Bitcoin processes far fewer transactions per second, but that’s by design. It’s not trying to be a general-purpose computing platform, and most of its value comes from being a store of value and settlement layer. Ethereum also has relatively modest TPS, but this is offset by its rich L2 ecosystem, expensive gas fees that deter spam, and long-standing user communities.

Neither Bitcoin nor Ethereum claim to have millions of daily users based on transaction count alone. Their strength lies in meaningful, often high-value interactions, many of which are not visible purely through TPS metrics. So if even these chains don’t boast such massive daily user counts, it would indeed be surprising — and statistically unlikely — that Solana alone has achieved that level of real, sustained adoption.

TPS and Volume: Speed Is Not Usage

Solana’s raw TPS numbers are impressive on paper, but speed and volume do not equate to meaningful user engagement. The chain is capable of hitting transaction rates that dwarf those of its competitors, but the effective, everyday usage driven by humans is likely far lower. High TPS, in Solana’s case, reflects architectural design and machine activity more than organic demand.

This matters, because real adoption is measured not just in numbers but in behavior: do users come back? Do they build? Do they trust the network enough to hold assets long-term, vote, or build apps on it?

The Real Story: Activity vs. Adoption

Despite the headlines, the evidence suggests Solana’s activity is not primarily driven by real human users. On-chain metrics point to large numbers of temporary, one-off wallets and high-speed trading bots making up most of the traffic. Incentive programs, airdrops, and speed-focused architecture attract machine activity rather than community growth.

Meanwhile, Solana’s retention numbers are extremely low, and meaningful usage patterns fall well behind those of Ethereum and even Ethereum L2s. This doesn’t mean Solana isn’t useful — it is clearly a valuable chain for high-frequency applications and experimental protocols — but its claim to widespread retail adoption appears overblown.

In reality, Solana remains a high-performance chain with a bot problem and a user story that’s still waiting to be written. Until we see better retention, deeper engagement, and more human-focused applications gaining traction, the network’s true adoption will remain more speculative than substantiated.