
MLabs
@MLabs10
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Blockchain and AI consultancy working across industries, including fintech and blockchain. 🙏 Support us in Project Catalyst 🔗 https://t.co/MjWDX8Q7bZ
UK
Joined June 2021
#Haskell benefits from hand-tuned, low-level tricks. From XOR masks #FFI memchr calls, our latest blog post shows how ASCII search goes "meh" to "whoa" while avoiding some not-so-obvious pitfalls:.
mlabs.city
In this post, we compare three ways to find the first matching byte in an ASCII sequence—naive loops, SWAR (SIMD Within A Register) techniques, and the C memchr via Haskell’s FFI. You’ll learn how...
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#CardanoCommunity and @Catalyst_onX. Our Fund13 #ProjectCatalyst project for Covenant, an eDSL with Call-by-Push-Value semantics for #Cardano, is progressing quickly. Check out our latest milestone deliverable 👇
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FeesaSwap (formerly Pisa-Fees) is a #Cardano fee abstraction protocol. MLabs is excited to share that we’ve submitted closeout materials for our Fund13 proposal. #CatalystCommunity & @Catalyst_onX - checkout our results 👇
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RT @CDEC_Cardano: ✅ MLabs — Plutarch. @MLabs10 maintains Plutarch, a typed on-chain DSL used across the ecosystem. It enables safer, more….
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#CardanoCommunity and @Catalyst_onX . Covenant is an eDSL with Call-by-Push-Value semantics to support efficient static analysis for #Cardano smart contracts. We just dropped M2: Data Type Support. Check it out 👇
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.@Catalyst_onX and #CardanoCommunity. MLabs and @ClearContracts are making progress on our Fund13 Agora Conway DRep support project. Check out our latest update 👇
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RT @agustinenada: Backing @MLabs10 is a no-brainer — they’ve been delivering for years. If we want a thriving ecosystem, we need to suppor….
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RT @timbharrison: I 100% agree - @MLabs10 have and continue to bring enormous expertise and value to the ecosystem.
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RT @MauroAndreoliA: There’s a Cardano community member in every corner of the world. @MLabs10 team in Uruguay 🇺🇾 . Glad to chit chat @rabi….
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Performance in #Haskell isn’t just about clever code — it’s about data layout and parallelism. Our latest blog dives into real-world benchmarks comparing vector and massiv using cellular automata as a case study.
mlabs.city
In this post, we explore how to write high-performance Haskell code using multi-dimensional arrays—comparing vector and massiv across clarity, parallelism, and raw speed. You'll learn how array...
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CTL is a popular library for interacting with Cardano via off-chain code. With #ProjectCatalyst Fund11 support, we’ve successfully wrapped our footprint reduction project—CTL is now leaner and faster. See how it can streamline your project 👇.
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Performance gains aren't always obvious - especially with #Haskell. Our latest post explores why some ASCII string matching algorithms fly while others stumble — even when they *should* be faster. BMH, DAWG, and a few surprising benchmarks inside.
mlabs.city
In this post, we explore the performance characteristics of string matching in ASCII text, comparing brute force, Boyer-Moore-Horspool, and DAWG-based approaches. You'll learn how benchmarking,...
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