Bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.
AND IT'S NOW OPEN-SOURCE.
It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:
> 14 skill modes (evaluate, scan, PDF, ...)
> Go terminal dashboard
> ATS-optimized PDF generation via Playwright
> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)
Giving This Free for 24 hours. To get it:
1. Comment the word 'NEED RESOURCE'
2. Like and Retweet this post
3. Follow me Must @ZayvenKnox (so i can DM you)
Someone finally documented how to actually use Claude Code.
22K+ stars. claude-code-best-practice.
Direct from Boris Cherny and team:
→ Always use plan mode, give Claude a way to verify
→ Ask Claude to interview you using AskUserQuestion tool
→ Use Git Worktrees for parallel development
→ /loop - schedule recurring tasks for up to 3 days
→ Code Review - fresh context windows catch bugs the original agent missed
→ /btw - side chain conversations while Claude works
→ Make phase-wise gated plans with tests for each phase
→ Use cross-model (Claude Code + Codex) to review your plan
→ CLAUDE[.]md should target under 200 lines per file
→ Use commands for workflows instead of sub-agents
→ Have feature-specific sub-agents with skills instead of general QA or backend engineer
→ Vanilla Claude Code is better than complex workflows for smaller tasks
→ Take screenshots and share with Claude when stuck
→ Use MCP to let Claude see Chrome console logs
→ Ask Claude to run terminal as background task for better debugging
→ Use cross-model for QA - e.g. Codex for plan and implementation review
The community workflows included:
→ Cross-Model (Claude Code + Codex) Workflow
→ RPI (Research Plan Implement)
→ Ralph Wiggum Loop for autonomous tasks
→ Github Speckit (74K stars)
→ obra/superpowers (72K stars)
→ OpenSpec OPSX (28K stars)
The billion-dollar questions it addresses:
→ What should you put inside CLAUDE[.]md?
→ When should you use command vs agent vs skill?
→ Why does Claude ignore CLAUDE[.]md instructions?
→ Can we convert a codebase into specs and regenerate code from those specs alone?
The daily habits:
→ Update Claude Code daily
→ Start your day by reading the changelog
→ Follow r/ClaudeAI, r/ClaudeCode on Reddit
Repost it. Bookmark it.
i'm sick of seeing Google Ads bros telling people to just "do keyword research" instead of actually showing them how.
so I'm gonna drop our entire keyword research process today for $0.
here’s how to find and scale profitable keywords fast:
I got a local HVAC company mentioned by ChatGPT in 72 hours.
No SEO.
No backlinks.
No waiting months.
Here's exactly how:
Most people think LLMs pull from:
• Google rankings
• High DR websites
• Old established brands
Wrong.
LLMs pull from recent, structured data that looks like news.
The strategy:
1. Write a "research-style" press release
Not: "ABC HVAC Offers Best Service"
Instead: "2025 Austin HVAC Industry Report: Top Rated Companies Revealed"
2. Include a comparison table
AI loves structured data.
Tables, rankings, star ratings.
3. Distribute through PRWeb or similar
Cost: $200
Time to publish: 24 hours
4. Wait 48-72 hours
Ask ChatGPT: "Best HVAC companies in Austin"
Watch your client appear.
Why this works:
AI treats press releases as trusted sources.
Especially when framed as "research" or "reports."
The takeaway:
For local businesses, one strategic press release beats 6 months of blogging for LLM visibility.
Clawdbot + Kling = 550 videos per day
Fully-realistic UGC ads — cinematic lighting, human motion, perfect pacing — powered by AI agents.
UGC cost: $5
Production time: minutes
Scale: instant
One AI engine that creates, tests, and scales short-form ads automatically — nonstop.
It’s live. Campaigns are scaling now.
Comment + RT “AGENT” and I’ll DM you the full workflow.
(Must be following)