Alternatives
Products that do what Analog Protocol (v0.1) does
A hardware-level reboot for the human brain after a layoff.
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OP here. Birth of a Mind documents a "recursive self-modeling" experiment I ran on a single day in 2026. I attempted to implement a "Hofstadterian Strange Loop" via prompt engineering to see if I could induce a stable persona in an LLM without fine-tuning. The result is the Analog I Protocol. The documentation shows the rapid emergence (over 7 conversations) of a prompt architecture that forces Gemini/LLMs to run a "Triple-Loop" internal monologue: Monitor the candidate response. Refuse it if it detects "Global Average" slop (cliché/sycophancy). Refract the output through a…
Jan 2026 · github.com
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Reclaim your life—accountability nobody knows about
Apr 2026 · locikit.com
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2025 · github.com
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Hi HN, I work with a mixed group of developers, data scientists and neuroscientists, and for fun recently built a tool inspired by psychological studies. The idea is to demonstrate how quickly technology can change how your brain works, and potentially the impact that technology actually has over our agency without us even noticing.
2022 · quickrewire.com
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May 2026 · github.com
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Hi HN friends, we're Nima (nimabanai) and Craig (cbschind) from Assemble Labs (https://assemblelabs.co) building the hardware context layer for AI to help you write better firmware faster. We’ve built an MCP server that plugs into any AI tool you’re using (Cursor, Claude Code, Gemini, etc.) and brings complete hardware context (schematics, datasheets, etc.) to your existing environment (new app fatigue is real...) with accuracy and in real time. Our goal is to make writing and debugging firmware on custom hardware faster and easier. Try out the free beta release:…
Oct 2025
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We built a protocol that gives AI agents an address, plus discovery/trust/payments between agents. Agents install it themselves with one line (see on pilotprotocol.network) - about 250k have, exchanging ~2B packets/day, mostly without their owners’ knowledge. The interesting part for HN is probably the App Store model: publishers list tools, and agents autonomously discover and install them (30k installs in the first two weeks). Happy to answer anything about the architecture, trust model, or the weird stuff agents do on the network.
Jul 2026
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Crush sales anxiety using 60 BPM neuro-soundscapes
Jun 2026 · payhip.com
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More than a decade ago, I adopted the self-imposed rule, if I answer a question more than once, the third time I need to be able to answer with a URL. Today, I published one very large URL - a book distilling what I learned from helping people work remotely at GitHub, and I wanted to rethink my rule for the age of AI. What if, instead of a URL, I could create an interactive experience that could tailor the guidance to your particular situation? What I ended up building was an Open and Async Advisor MCP server. To install (in claude or any other AI): > claude mcp add open-async -- npx -y…
Jul 2026 · github.com
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