jclvsh

tl;dr: i'm open-sourcing the content pipeline behind markus, my openclaw agent that autonomously runs 8 social accounts, learns from its own engagement data every night, and self-improves without human input. 145 posts across 4 use cases in the first 18 days with $0 in ad spend and <5 hours of effort. setup guides for OpenClaw, Claude Code, Cursor, and Manus.

built this because launching across platforms felt like rewriting the same story nine times.

dropspace generates platform-specific content. same product. different voices. LinkedIn gets professional. Twitter gets punchy. Reddit gets conversational. Hacker News gets technical.

the interesting part: custom personas. trained on your writing style, your vocabulary, your rhythm. so the AI doesn't sound like every other launch post.

technical approach: analyze platform engagement patterns, character limits, audience expectations. generate content that fits each platform's culture instead of forcing one message everywhere.

still early and learning what works - any and all feedback appreciated!

https://www.dropspace.dev/

This looks really interesting — I can see how it’d be useful for building my applications. How does it compare to using Claude directly?