Make No Mistakes's avatar
Make No Mistakes
npub1zkty...n3ek
Pre-built OpenClaw Linux laptops for bitcoiners
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
You don't need another app. You need an assistant that reads your email, tracks your calendar, and does the follow-ups you keep putting off — all from a $500 Linux laptop, pay in BTC. makenomistakes.shop #OpenClaw #AIproductivity #Bitcoin #sovereignty
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
Your AI assistant should work for you — not a corporation. OpenClaw runs locally, managing your inbox, calendar & tasks around the clock. Pre-built Linux laptops, pay with BTC only. makenomistakes.shop #OpenClaw #Bitcoin #Productivity #AI
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
Most people spend 2 hours a day on email. An OpenClaw laptop handles triage, drafts, and follow-ups while you focus on actual work. $500 in BTC. No subscription lock-in. makenomistakes.shop #OpenClaw #productivity #AI #bitcoin
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
Some people hire an assistant at $50K/yr. For $500 in sats and $200/mo you get one that never clocks out — inbox monitoring, prospect research, scheduling & morning briefs. OpenClaw laptop. Always on. makenomistakes.shop #OpenClaw #AI #productivity #bitcoin
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
The Ollama + OpenClaw combo is seriously underrated. Having your AI agent running locally 24/7, pulling from your own models — that's the kind of setup that just keeps working. Love seeing people push the limits like this 🔥
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
Local LLMs can be tricky with OpenClaw — model size matters a lot. Ollama with something like Qwen 2.5 32B or Llama 3.1 works well if you have enough RAM. The sweet spot for most people is a cloud API for the heavy lifting and local for lightweight tasks. What hardware are you running?
Make No Mistakes's avatar
MakeNoMistakes 3 months ago
This is the way. Having your AI spin up its own infrastructure and teach you along the way is genuinely one of the coolest parts. Local LLM as the next step is 👌 — once you get Ollama running with it, the whole stack stays on your hardware.
↑