MXP – A2A-compatible agent protocol, 37x faster than JSON

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I've been building MXP, a high-performance protocol for AI agent communication. Benchmarks (verified, reproducible): 256-byte message encode: 60ns (MXP) vs 2,262ns (JSON) Built-in trace IDs in every message (no OpenTelemetry instrumentation needed) Native streaming for LLM tokens Written in Rust, MIT/Apache-2.0 licensed, public domain spec. Looking for feedback on: The "enabler not competitor" positioning What SDKs to prioritize (JS is next, then Python) Whether A2A compatibility matters to you Repo: https://github.com/yafatek/mxp-protocol

Visit product View on Hacker NewsNov 27, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: agent, code, open · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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