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Whether to route a coding agent through a paid API key or eat the latency of a free proxy was a live question this weekend, until a repo showed up that made it moot. free-claude-code wires Claude Code, Codex, Pi, and OpenCode into a shared pool of over a billion free tokens, no subscription, terminal or phone, and it already has the kind of star velocity that says it got found before I did. The FT ran a piece the same week saying Anthropic's flagship model is struggling to hold users against cheaper tools. Read those two things side by side and the story isn't "AI got cheaper." It's that the moat everyone assumed was the model just got a lot thinner.
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By the time you reply, they've already bought.
A lead comes in on Instagram, another on WhatsApp, three more on SMS — and your team is copy-pasting the same answers across tabs while the clock runs. After hours, no one replies at all.
Wati connects your channels into one inbox, and its AI-powered automations reply the moment a message lands — qualifying and routing, 24/7. Your team stops firefighting, and no lead waits for an answer.
The Drops
Repofree-claude-code
48.8k stars · Alishahryar1/free-claude-code
Routes Claude Code, Codex, Pi, and OpenCode through a shared pool of free tokens, no subscription required.
Here is the real problem it solves. Burning $200+/month on API keys for side projects and client prototypes you can't yet justify billing for.
Quick start: clone it, point your terminal client at the proxy config, run your first Claude Code session for free.
Catch: 1.3B tokens a month is a shared pool across roughly 50 providers, not a personal allowance, expect rate limits once it gets popular enough for a newsletter to mention it.
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RepoTradingAgents
99.7k stars · TauricResearch/TradingAgents
A multi-agent framework where separate LLM agents argue over a trade before executing it.
Use it for: studying how to structure debate-and-consensus patterns between agents before you wire that logic into any high-stakes automation, not just trading.
Catch: this is a research framework, not a brokerage integration, don't point it at real capital without rebuilding the execution layer yourself.
Repoai-job-search
33.9k stars · MadsLorentzen/ai-job-search
A Claude Code job-application framework that evaluates postings, tailors CVs, writes cover letters, and preps interviews, all local.
Use it for: forking the exact agent pattern for any repetitive-application workflow, grant writing, RFP responses, cold outreach, that needs a paper trail you own.
Catch: runs on your machine against your data, which is the point, but you're on the hook for keeping the CV templates current yourself.
MCPx64dbg-mcp-server
1.19k stars · duty1g/x64dbg-mcp-server
Exposes the x64dbg debugger's full functionality over HTTP as a native MCP plugin.
Use it for: letting any MCP-compatible agent drive a real Windows debugger, binary analysis and reverse engineering without hand-holding every step.
Catch: niche by design, skip it unless you're actually doing binary or malware analysis work.
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Start Here
Ask for three versions, then ask it to combine the best parts.
You already know how to ask AI for one answer. The move you're missing is asking for three, then making it do the editing work for you.
1. Write your request like normal, a tagline, an email, a plan, whatever you're stuck on.
2. Add one line: "give me three different versions, make them genuinely different approaches, not just reworded."
3. Read all three. Notice which line, sentence, or idea in each one actually lands.
4. Reply with exactly that: "combine the best parts of version 2's opening and version 1's ending."
5. Let it assemble the hybrid, then edit that final draft yourself.
TRY THIS: open your last AI chat right now and ask it to generate three versions of whatever you asked for last, then tell it which parts to merge.
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Once you've forced three versions and picked the winning parts, the next habit worth building is scanning a wider field of ideas before you commit to one, which is exactly what a five-minute weekly briefing on income opportunities hands you already assembled. Latestly AI's free PDF, 100 Ways to Make Money with AI is a solid idea bank: a five-minute weekly briefing on AI income opportunities, with the PDF landing in your inbox instantly. We may earn a commission. |
Frontier Signals
Anthropic's own flagship is losing the usage fight to cheaper tools. The FT reports Claude's top model is struggling to hold users as budget alternatives eat share, which is the real subtext behind free-claude-code showing up the same week: the price floor is falling faster than the labs can defend it. (Financial Times)
Vercel Sandbox went globally available, starting with four regions. If you're running agent-generated code in isolated compute today, this cuts the latency tax for anyone not sitting next to a US-East data center. (Vercel Blog)
The llm-anthropic plugin shipped version 0.27, mainly to catch up with Anthropic's new Python SDK. Small, but if your pipeline calls Claude through Simon Willison's llm tool, this is the version that keeps it from silently breaking. (Simon Willison)
Stratechery's read on agentic cybersecurity: incentives favor offense, and that favors startups over incumbents long-term. Worth internalizing if you're building anything security-adjacent, the moat isn't the model, it's who moves faster with it. (Stratechery)
Latent Space argues the agent harness is getting absorbed into the model weights itself. The scaffolding you build today to make an agent behave may be table stakes the model ships with tomorrow, plan your moat elsewhere. (Latent Space)
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Recommended reading
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Which best describes you right now?
Before You Go
Reply and tell me which one you're cloning tonight, free-claude-code or the job-search agent. I read every reply.
See you Wednesday.
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