Jonathan Fishner
619 posts
@jonathanfishner
creator of https://t.co/6LuqhOd3r7 & https://t.co/iU61fqd6U9 I build the tools I wish I had.
Back to our regularly scheduled programming :) Just talked to a guy making $9K/month with a tiny, niche tool. Highlights: > why building for ONE person is better than everyone > the one piece of content that got him hundreds of users overnight > and his 5-step playbook for building profitable dev tools in 2026 this one you 𝘤𝘢𝘯𝘯𝘰𝘵 miss😁
Built a personal AI agent - why I did that and what it means. go.gov.sg/aiesingapore
Software for Agents @aaron_epstein The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons. Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.
Singapore's Foreign Minister published the architecture for his "second brain for a diplomat" yesterday. Architecture diagrams, design rationale, the works. A developer-style writeup of his own system. It runs on a Raspberry Pi. It connects to his WhatsApp and Gmail, transcribes voice notes locally, ingests speeches and articles, and builds up a knowledge graph over time. It answers questions, drafts speeches, condenses information. He says he doesn't dare switch it off. What @VivianBala built is one-of-one. There's no other setup like it. But what he built it from isn't. He composed four open-source pieces: - @NanoClaw_AI , the agent framework: github.com/qwibitai/nanoc… - Mnemon, the persistent memory layer: github.com/mnemon-dev/mne… - OneCLI, the credential proxy that keeps API keys out of the containers: github.com/onecli/onecli - The LLM Wiki pattern by Andrej Karpathy, the synthesis approach: x.com/karpathy/statu… None of them are his. The composition is his. And then he published the composition: gist.github.com/VivianBalakris… He didn't keep it internal as Singapore's edge. He didn't spin it into a product. He didn't gatekeep. He wrote it up and put it on GitHub. There are tens of thousands of doctors, lawyers, researchers, investors, and operators building one-of-one setups for themselves right now. Some simpler than Vivian's, some more elaborate. The impulse will be to sit on it. Treat it as your edge. Think about what product or company you could spin out of it. Resist that impulse. Vivian put it directly: "The diplomat who learns to work with AI will have a meaningful edge. I think that edge is now." The specific thing Vivian composed will be obsolete in months. His real edge isn't the system. It's his ability to build it. Being plugged in, up to speed, able to cut through the noise and connect the right pieces into something that brings real value. Sharing the blueprint doesn't give that away. It amplifies it. You become a beacon. Other people working on the same things find you. They share what they're building, suggest improvements, point at things you didn't know existed. You learn faster. You stay in the center of where things are happening. Publishing isn't giving away your edge. It's doubling down on it.
✨ Announcing NanoClaw v2, in partnership with @vercel. We completely rebuilt how NanoClaw agents communicate with the outside world. v2 brings agent-to-agent communication, human-in-the-loop-approvals, support for 15 messaging platforms, and more. A thread on what's new:
✨ Announcing NanoClaw v2, in partnership with @vercel. We completely rebuilt how NanoClaw agents communicate with the outside world. v2 brings agent-to-agent communication, human-in-the-loop-approvals, support for 15 messaging platforms, and more. A thread on what's new:
OpenClaw is the fastest-growing open source project, but there are no stories of running it safely in production at scale. As we started deploying agents internally at @brexHQ, we couldn’t stop thinking about this question. Agents work, but nobody wants to give them real credentials. Instead of waiting for a solution to emerge, we decided to try a novel approach: using LLMs to judge the network traffic of an AI agent. Today we’re announcing CrabTrap, an open-source proxy that intercepts every outbound request and blocks risky activity using LLMs, before it ever hits an external API. The results are promising; we believe it’s a meaningful step forward in the security of agent harnesses in production environments. Try it out today. (As a side note, it was really fun to work personally on a real systems problem again. And btw, if you want to work at a place where the CEO is building proxies at night, we’re hiring!)
