15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T534,Six months ago we spent 25h/week manually creating content across Twitter, Reddit, LinkedIn, and video. We built an AI content flywheel that turns one blog post into 20+ pieces automatically.

*Results (30 days):*

| Metric | Before | After | |--------|--------|-------| | Content pieces/month | 4 | 42 | | Twitter followers gained | 124 | 847 | | Social traffic | 320 | 2,140 | | Leads | 8 | 67 | | Hours/week | 25 | 8 |

6x reach, 1/4 time.

*How it works:*

1. *Blog* – AI-assisted evergreen articles (1.5k-3k words). 2. *Twitter* – AI writes threads, schedules, engages. 3. *Reddit* – AI finds subreddits, drafts posts; human approval required. 4. *Video* – Blog → 60s script → stock B-roll + captions → Shorts/Reels/TikTok.

*Tools*: nextblog.ai, xbeast.io, reddbot.ai, vidmachine.ai, Buffer. Cost ~$338/mo, saves ~60h.

*Key lessons:*

- Start manual, automate later. - Adapt tone per platform. - Human engagement essential (1h/day). - Track quality metrics (CTR, engagement).

*Next:* Autonomous agents auto-optimizing hooks, frequency, topic suggestions. Prototype cuts review by 97%.

*Questions:*

- Similar automation experience? - Better tools? - Real ROI measurement? - Balancing Reddit automation + community rules?

Happy to share integration details.17:T6fe,Hey HN — I'm the builder behind Memobase.

Timing: Anthropic just launched memory import for Claude yesterday. You can export your ChatGPT memories and bring them over. It's a step in the right direction, but it's still moving your data from one silo to another. You don't really own that memory.

The problem as I see it: there's no standard protocol for AI memory. You can't say "here's my MCP server, use it for memory in every session." Each platform builds its own walle

Exploring Maturity Models for Security