ZON-TS 50–65% fewer LLM tokens zero parse overhead better than TOON/CSV

Show HN: ZON-TS 50–65% fewer LLM tokens zero parse overhead better than TOON/CSV

ZON-TS 50–65% fewer LLM tokens zero parse overhead better than TOON/CSV is a business in show hn launch.

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hey HN — roni here, full-stack dev out of india (ex-gsoc @ internet archive).spent last weekend hacking ZON-TS because json was torching half my openai/claude budget on dumb redundant keys — hit that wall hard while prototyping agent chains.result: tiny TS lib (<2kb, 100% tests) that zips payloads ~50% smaller (692 tokens vs 1300 on gpt-5-nano benches) — fully human-readable, lossless, no parse tax.drop-in for openai sdk, langchain, claude, llama.cpp, zod validation, streaming... just added a full langchain chain example to the readme (encode prompt → llm call → decode+validate, saves real $$ on subagent loops).quick try:```ts npm i zon-format import { encode, decode } from 'zon-format'; con

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Website: zonformat.org