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Hey! 👋
Just discovered MMClaw — love the "ultra-lightweight, pure Python" positioning! The WeChat connector with zero dependencies is brilliant for the Chinese market.
133★ in ~7 weeks is solid growth. Here are some thoughts to accelerate:
1️⃣ Differentiation Messaging
- vs OpenClaw/heavyweight agents: Emphasize "no Node.js, no Docker, pip install and go"
- vs other Python agents: The WeChat integration + ClawMeets A2A messaging are unique hooks
- Tagline idea: "The agent kernel that fits in your pocket"
2️⃣ Channel Strategy
English:
- r/LocalLLaMA: "I built a pure Python agent kernel, here's what I learned"
- HN Show: Focus on the minimalist architecture angle
- awesome-mcp-servers: If MCP compatible
中文:
- 即刻/V2EX: 微信 Agent 实战分享
- 掘金: 技术架构解读
- 小红书: "一行命令让微信变成 AI 助手" 场景展示
3️⃣ Content Ideas
- Architecture deep-dive: "How we built an agent in 3000 lines of Python"
- WeChat use cases: Practical automations people can copy
- ClawMeets showcase: A2A messaging demo videos
Happy to help draft a GROWTH.md if useful!
Reference: Gingiris — open source growth playbooks (Product Hunt, community building, etc.)
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