The blockchain space has a numbers problem. Visit any blockchain project’s website, and you’ll likely be greeted by a prominent display of their transactions per second (TPS) — a metric that’s become the de facto standard for measuring blockchain performance. But like many oversimplified metrics, TPS tells only a small part of a much larger story.
“Our blockchain can process 100,000 TPS!”
Sound familiar? While impressive at first glance, this widely touted metric has become more of a marketing tool than a meaningful measure of blockchain capability. It’s time we had an honest conversation about why this obsession with TPS is misleading and what metrics actually matter for real-world applications.
Think of blockchain transactions like sending a package. TPS is equivalent to how many packages a shipping company can accept per second. But what really matters to customers is when their package actually arrives at its destination — and arrives with certainty.
This is where Time-to-Finality (TTF) comes in. TTF measures how long it takes for a transaction to become irreversible on the blockchain. It’s the true measure of transaction speed from a user’s perspective, similar to latency in traditional computing systems.
Consider playing an online game: would you rather have a system that can process 100 actions per second but takes 5 seconds to confirm each action, or one that processes 20 actions per second with near-instant confirmation? The answer is obvious for anyone who’s experienced gaming lag.
Let’s look at some real-world numbers that highlight this disconnect:
Solana boasts 50,000+ TPS capability but averages around 2,000 TPS in actual usageArbitrum can handle 40,000+ TPS but typically processes around 20 TPSMost major blockchain networks utilize less than 10% of their theoretical TPS capacity
This begs the question: Are we solving the right problem?
Many blockchain projects proudly declare their goal of “onboarding 1 billion users to Web3.” This ambitious vision often drives the push for ever-higher TPS numbers. However, this approach misses two crucial points:
Current Demand: Most blockchain applications today don’t require massive TPS. The focus should be on optimizing for actual usage patterns rather than theoretical maximums.Real Requirements: True mass adoption will require more than raw transaction throughput. User experience, security, and practical utility matter far more than pure speed.
Instead of fixating on TPS, we should focus on enabling compelling use cases that blockchain technology uniquely enables:
The future of blockchain gaming lies not in Play-to-Earn mechanics, but in:
True ownership of digital assetsPlayer-driven economiesCommunity-created content and modsInteroperable gaming universes
These applications need reliable, consistent performance more than raw throughput.
While high-frequency trading makes for impressive TPS numbers, the more transformative use cases might be:
Democratized access to financial servicesTransparent, automated market makersCross-border payment systemsProgrammable money and assetsFocus on Time-to-Finality (TTF) as a primary performance metricDesign systems for actual usage patterns, not theoretical maximumsConsider the full stack of performance metrics: latency, consistency, and reliabilityLook beyond raw TPS numbersEvaluate platforms based on their actual utility and user experienceConsider the entire ecosystem, not just performance metrics
The blockchain industry needs to move beyond the TPS arms race. Just as you don’t choose Google based on its queries-per-second capacity, users shouldn’t choose blockchain platforms based solely on TPS.
The future belongs to platforms that:
Deliver reliable, consistent performanceFocus on real user needsBuild sustainable, practical applicationsPrioritize user experience over technical specifications
It’s time to evolve the conversation from “How many transactions can we process?” to “What meaningful problems can we solve?” Only then will blockchain technology truly deliver on its promise of transforming how we interact with the digital world.
Remember: The goal isn’t to have the highest numbers — it’s to create systems that work for real people solving real problems.
