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Kaspa’s runtime architecture achieves scalability not by optimizing block-level throughput, but by rethinking the role of blocks entirely. Instead of treating state transitions as discrete batches that must be processed sequentially, Kaspa models them as a continuous stream of causally-related transactions, with blocks serving only as logical markers that define the boundaries of possible reorgs. This shift in perspective moves the performance bottleneck away from "how fast can we process everything inside a block" toward "how can we parallelize all currently known tasks across the entire DAG". When a block contains a spike of non-parallelizable work, traditional blockchains must stall until the block is fully processed. Kaspa does not. Because unrelated transactions can be scheduled immediately - even those belonging to future blocks - the system avoids idle CPU cycles and eliminates the classic straggler problem. Most existing DLT architectures tightly couple block production with state commitments, proofs, or other finalization steps, making their execution model inherently sequential. Even if they support some parallelism within a block, they still wait for a block to finish before moving on to the next one. This introduces unnecessary latency and forces the runtime to juggle responsibilities that are orthogonal to efficient workload distribution. Kaspa’s strict separation of concerns allows the entire execution model to collapse into a minimal, expressive, and highly generic framework - small enough to run any ACL (access-control list) enabled VM at essentially bare-metal performance. Its design models causal dependencies at the lowest hardware-relevant level, enabling an execution flow that is: - completely lock-free - free of WAL flushes or global sync barriers - based entirely on eventual consistency This results in a simpler, more scalable, and far more hardware-efficient architecture than anything deployed in blockchain systems today. In effect, Kaspa does for distributed ledgers what TensorFlow and CUDA Graphs did for machine learning: it exposes a parallel execution model that can scale seamlessly with modern hardware, turning theoretical throughput into practical reality (the 64000 TPS that Solana achieves in the lab let's bring that to practice). I am extremely excited about this as this is exactly what I always wanted to build with IOTA and now it's finally done. We are still working on implementing the higher levels of abstraction like designing a capability based linear type system abstraction for state management and resource access that gets rid of the need for manual capabilities wiring like in SUI and there is still a bit of work left but I don't think that you will ever be able to build a more scalable architecture than directly modeling the causal structure of state changes down to the lowest hardware layer. Kaspa is going to melt faces my friends and it's going to be so much better that it will be impossible to ignore! And it's such a simple API with Rayon level abstraction ... I am seriously getting a nerd-gasm just looking at the code 😅: github.com/hmoog/kas-l2/b… This goes out to KEF and the entire community: Thank you so much for allowing me to take part in this journey - this really feels like coming home! 🥰






@binance,
Thanks for including me in the top 100 blockchain people list, appreciate the signal!
I must decline the Dubai invite though. I do not wish to disrespect, but many of the award voters are avid kaspians who rooted for my kaspa status at least as much as for my research. Let them win or count me out.
Crypto has turned from a euphoric cypherpunk project to a house-friendly casino. You may not be the culprit, but as a top player you hold the lion’s share of the responsibility to correct this, and the October crash your USDe oracle glitch helped trigger adds to what needs to be addressed.
There are three classes of crypto, as @mert put it recently: commercial crypto, casino crypto, cypherpunk crypto. <



The Blockchain 100 winners are here! See who made the list of top crypto creators. Thank you for voting & celebrating the future of blockchain education. Check the results 👇 binance.com/en/square/bloc…





@JuanMato14 @netflix "peanuts" would be $1M - $3M They demanded 3% MAX SUPPLY from us last week, 28,700,000,000 x .03 = 861,000,000 $KAS or $41,112,750 USD




