I built a Chrome extension that drafts X replies in YOUR voice. You pick a tone, hit generate, get 3 reply options, and inject your favorite straight into the composer ready to refine. It learns from your best performing replies so it actually gets better the more you use it. Replying to 50+ posts a day just went from exhausting to effortless. Waitlist link in bio. Here's a demo of it in action 👇

Agents for X just got a niche builder. It pulls your post data, groups everything into topic clusters, and scores each one by engagement. You instantly see what your audience actually wants from you. Then it uses your niche profile as context every time it generates a draft. Waitlist link in bio!

Paperclip just dropped the operating system for AI companies. Instead of managing scattered AI tools, you define goals and hire AI agents as executives. They handle strategy, budgets, and execution while you oversee as board chair. This changes everything. github.com/paperclipai/paper…

Your best posts follow patterns you don't even notice. I built an agent that finds them for you: • Connects to X analytics • Identifies top post commonalities • Extracts repeatable frameworks • Helps write future posts Reverse engineering virality. Here's how it works ↓

If your CLAUDE.md is just a wall of instructions, it’s probably making things worse Here’s the scaffolding template I use to keep Claude Code actually effective • Critical Rules = top 5-10 hard rules that prevent real mistakes • Self Healing Rules = meta-rules that make the file improve over time • Mission = 1-3 sentences. What is this and who cares? • Stack = table format so Claude picks correct APIs, not deprecated ones • Architecture = entry points + reference docs, one line per subsystem • Source of Truth Docs = canonical files Claude MUST read before modifying anything • Data Model = just enough schema to write correct queries • API Contracts = route mounts + what they cover, not every endpoint • Environment Variables = names grouped by purpose, never values • Learned Anti-Patterns = grows organically when Claude breaks something Every line should pass the test “Would removing this cause Claude to make mistakes?” If it doesn’t prevent a mistake, it’s noise Reply “SCAFFOLD” for the full template (must be following)

Hot take: AI generated X posts aren't the problem. "Set it and forget it" AI posts are. Because the win isn't letting a model speak for you. It’s pair writing: you prompt, it drafts, you push back, it rewrites, you tighten the voice until it sounds like you. To solve for this I built a tool that learns from your edits + published posts over time so each draft starts closer to your actual voice, not generic slop. It’s a collaboration process, not a bot. Waitlist is open → agentsforx.com

3) Supabase schema guardian Also on the project level. Maps .from("table") usage → migrations and flags drift: missing CREATE TABLE / RLS / policies / indexes (can generate stubs). This one catches schema drift issues early.

2) Prod wiring audit This one is on my project level and it determines if the repos are production wired. gates + build/typecheck/lint + wiring assumptions + dependency risk signals. It outputs a report you can diff.

1. VPS security audit Repeatable posture snapshot: listeners/ports, SSH posture, firewall, Tailscale exposure, OpenClaw posture. If and when a port changes, I want evidence.

I built internal maintenance skills for my OpenClaw setup. Now I finally have peace of mind that my setup is secure and optimized. They’re boring on purpose. Boring prevents incidents. Here are the 3 that do most of the work 👇