

Aswin Kumar
991 posts

@ash20pk
making tech simple to understand for everyone | DevRel Engineer @KRNL_xyz | ex head of education



Rest in peace, Pappa ❤️ I promise I will become a man that you are proud of












Is there anything we can do to keep you around? Can you check my DM. Thanks!

Who is building the x402 facilitator using @KRNL_xyz Why you should use KRNL, -> minimize trust assumption with cryptographic proofs, which will be verified before settlement -> cross-chain support out of the box, you don't need a separate config/provider setup for each chain -> KRNL uses EIP-4337 to settle the transaction, so you can also let the user/ai agent pay for the gas directly I will be spending some time on this and will build a oss poc out


TOON is doomed to fail. TOON struggles with nested data. Independent tests already show accuracy dropping compared to JSON. The moment your structure gets complex, TOON becomes a liability. On top of that, JSON is the default structured language. That’s the native dialect. JSON appears constantly across the internet >APIs return JSON. >Dev tools save logs in JSON. >Configs, datasets, telemetry, and modern documentation rely on JSON. >GitHub is full of JSON snippets and structured examples. So models see JSON thousands, even millions, of times during pretraining. So, you don’t get bonus points for switching to TOON. In some cases, you get worse results. Even if TOON worked perfectly, model providers could kill its moat overnight by compressing JSON themselves, adding new wire formats, or absorbing TOON-style ideas into their protocol layer. Then there’s human reality. JSON survived because anyone can skim it at 3 a.m. TOON needs new tools, new habits, and attention nobody has time for. At the end of the day, TOON is more of a middleware trick. The real winners will be systems that handle human chaos and optimize behind the scenes, without asking anyone to change how they speak.

Building with KRNL: Intro to KRNL Studio 🎥 In this walkthrough, our DevRel engineer @ash20pk breaks down how developers can visually design complex, cross-chain workflows without touching JSON. KRNL Studio lets you: • Build KRNL DSLs with drag-and-drop steps • Connect Web2 APIs + Web3 functions in one workflow • Auto-generate contract calls and mappings • Export/import workflows locally, no data ever leaves your browser. This is how we make verifiable orchestration simple, fast, and developer-friendly. Watch the full demo below 👇