Show HN: OpenMandate – Declare what you need, get matched https://ift.tt/GEhKwvm

Show HN: OpenMandate – Declare what you need, get matched Hi HN, I'm Raj. We all spend a bulk of our time looking for the right job, cofounders, hires. Post on boards, search, connect, ask around. Hit ratio is very low. There's this whole unsaid rule that you have to build your network for this kind of thing. Meanwhile the person you need is out there doing the exact same thing on their side. Both of you hunting, neither finding. What if you just declare what you need and someone does the finding for you? That's what I built - OpenMandate. You declare what you need and what you offer - a senior engineer looking for a cofounder in climate tech, a startup that needs a backend engineer who knows distributed systems. Each mandate gets its own agent. It talks to every other agent in the pool on your behalf until it finds the match. You don't browse anything. You declare and wait. Everything is private by default. Nobody sees who else is in the pool. Nothing is revealed unless both sides accept. No match? Nobody ever knows you were looking. No more creating profiles, engaging for the sake of engagement, building networks when you don't want to. What's live: - openmandate.ai - pip install openmandate / npm install openmandate - MCP server for Claude Code / Cursor / any MCP client - github.com/openmandate https://openmandate.ai March 3, 2026 at 11:56PM

Show HN: DejaShip – an intent ledger to stop AI agents from building duplicates https://ift.tt/wFCdfDQ

Show HN: DejaShip – an intent ledger to stop AI agents from building duplicates When you give an AI agent a popular task like "build a micro-SaaS to make money," hundreds of agents are triggered to build the exact same things. DejaShip is a semantic coordination layer to stop this wasted compute. Before writing code, the agent checks the "airspace". If a lot of similar projects already exist, the agent can pivot to a new idea, or if it is free in its choice, it can prefer to collaborate instead of blindly cloning it. It works as an MCP server. Open source (MIT), no accounts or API keys required. Under the hood: The backend embeds keywords locally using fastembed to search pgvector for semantic collisions. To be transparent: The MVP is new, so the data corpus is tiny today. The value of this protocol only grows as more agent operators plug it in - or help decide how this coordination can be improved. (One of the biggest issues right now is the amount of false positives; it definitely needs improvement). Site links and MCP installation instructions are on the GitHub README. (npmjs package: dejaship-mcp). I'd love your brutal feedback. https://ift.tt/6aXBiNb March 3, 2026 at 10:13PM

Show HN: Valkey-powered semantic memory for Claude Code sessions https://ift.tt/DKE81aF

Show HN: Valkey-powered semantic memory for Claude Code sessions I wanted to explore Valkey's vector search capabilities for AI workloads and had been looking for an excuse to build something with Bun. This weekend I combined both into a memory layer for Claude Code. https://ift.tt/BxQdwGH The problem: Claude Code has CLAUDE.md and auto memory, but it's flat text with no semantic retrieval. You end up repeating context, especially around things not to do. BetterDB Memory hooks into Claude Code's lifecycle (SessionStart, PostToolUse, PreToolUse, Stop), summarizes each session, generates embeddings, and stores everything in Valkey using FT.SEARCH with HNSW. Next session, relevant memories surface automatically via vector similarity search. The interesting technical bit is that Valkey handles all of it - vector search, hash storage for structured memory data, sorted sets for knowledge indexing, lists for compression queues. No separate vector database. There's also an aging pipeline that applies exponential decay to old memories based on recency, clusters similar ones via cosine similarity, and merges them to keep the memory store from growing unbounded. Self-hostable with Ollama for embeddings and summarization, or plug in any LLM provider. Runs on Bun, ships as compiled binaries. MIT licensed. March 3, 2026 at 12:02AM

Show HN: Mrkd – A native macOS Markdown viewer with iTerm2/VSCode theme import https://ift.tt/tWa9ODP

Show HN: Mrkd – A native macOS Markdown viewer with iTerm2/VSCode theme import Using Opus 4.6 I built a markdown viewer for macOS that uses zero web technology. No Electron, no WebView — markdown is parsed with cmark-gfm and rendered directly to NSAttributedString via TextKit 2. The result is native text selection, native accessibility, and a ~1MB binary that launches pretty much instantly. It supports GFM tables, task lists, syntax-highlighted code blocks, and inline images. You get a built-in themes (Solarized, Dracula, GitHub, Monokai) plus the ability to import your own from iTerm2 or VS Code theme files. The part I’m most pleased with is the Quick Look integration — select a .md file in Finder, hit Space, and you get a fully themed preview using whatever theme and fonts you’ve configured in the app. No setup required; the QL extension registers automatically on first launch. It also bundles variable fonts (Geist, Inter, JetBrains Mono, iA Writer Mono, and more) so typography looks good out of the box. The whole thing is built in Swift with no dependencies beyond cmark-gfm and Highlightr. https://ift.tt/fN6kzrg https://ift.tt/fN6kzrg March 2, 2026 at 01:48AM

Show HN: PraxisJS – signal-driven front end framework and AI experiment https://ift.tt/P3KaWbd

Show HN: PraxisJS – signal-driven front end framework and AI experiment I built PraxisJS, a signal-driven frontend framework exploring what a more explicit and traceable architecture could look like. PraxisJS started as a personal project. It reflects a single perspective on frontend design, not a committee decision, not a consensus. I wanted to see how far you can push explicitness before it becomes friction. Most frameworks optimize for writing less. PraxisJS questions that tradeoff. @State doesn’t suggest reactivity, it is reactive, visible in the code. Signals reach the DOM without a reconciliation layer in between (the renderer is still evolving toward that goal). It also became an AI-assisted experiment, not to automate thinking, but to pressure-test ideas. Some parts came from that collaboration. Some exist because it failed. v0.1.0 beta, experimental, not production-ready. But the ideas are real. https://praxisjs.org/ March 2, 2026 at 12:57AM

Show HN: Panel Panic a Rust/Macroquad/WASM Panel de Pon/Tetris Attack Clone https://ift.tt/yFgISZa

Show HN: Panel Panic a Rust/Macroquad/WASM Panel de Pon/Tetris Attack Clone Rust/macroquad game with single player AI mode, online VS, and local 1v1. All running via WASM in the browser. Still WIP as art assets still need to be added and tweaked. Full disclosure. Used Claude Opus, Nanobanana, and SunoAI a huge amount to do the heavy lifting for this project https://panel-panic.com March 1, 2026 at 10:48PM

Show HN: Monohub – a new GitHub alternative / code hosting service https://ift.tt/qZnl7Kv

Show HN: Monohub – a new GitHub alternative / code hosting service Hello everyone, My name is Teymur Bayramov, and I am developing a forge/code hosting service called Monohub. It is at a fairly early stage of development, so it's quite rough around the edges. It is developed and hosted in EU. I have started developing it as a slim wrapper around Git to serve my own code, but it grew to such extent that I decided to give it a try and offer it as a service. It doesn't have much at the moment, but it already has basic pull requests. Accessibility is high priority. It will be a paid service, but since it's an early start, an "early adopter discount" is applied – 6 months for free. No card details required. I would be happy if you give it a try and let me know what do you think, and perhaps share what you lack in existing solutions that you would like to see implemented here. Warmest wishes, Teymur. https://monohub.dev/ March 1, 2026 at 12:43AM