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Show HN: Try Archetype 360 – AI‑powered personality test, 3× deeper than MBTI Hi there, are you familiar with MBTI, DiSC, Big Five? Well I&#x27;m experimenting with a new kind of personality test, Archetype 360, and I&#x27;d love for you to try it for free and tell me what you think.<p>- 24 traits across 12 opposing pairs -- that&#x27;s three times more dimensions than MBTI or DiSC, so you get a much more nuanced profile. - A unique narrative report generated with AI (Claude), written in natural language instead of generic type blurbs. - Your role, goals, and current challenges are blended into the analysis, so the report feels relevant to your real‑life context, not just abstract traits.<p>It&#x27;s an &quot;ephemeral app&quot; so your report only lives in your browser, there&#x27;s no login, and we don&#x27;t store your data. Make sure you save the report as a PDF before you close the page.<p>What I&#x27;m looking for is honest feedback on your archetype and report:<p>- Did it feel accurate and &quot;wow&quot; or just meh? - Did you learn anything unexpected about yourself? - What did it miss or not go deep enough on?<p>I&#x27;ll use your feedback to refine the prompts and the underlying model. Just comment here or use the feedback form in the app.<p>If there&#x27;s enough interest, the next step is to combine Archetype 360 with a variation of Holland Codes &#x2F; RIASEC (vocational interest areas) to create a full‑power professional orientation report.<p>What else would you love to see? Ideas welcome!<p>Best wishes, Daniel

Parallel coding agents with tmux and Markdown specs

OpenClaw Surpasses React to Become the Most-Starred Software Project on GitHub

Show HN: Web Audio Studio – A Visual Debugger for Web Audio API Graphs Hi HN,<p>I’ve been working on a browser-based tool for exploring and debugging Web Audio API graphs.<p>Web Audio Studio lets you write real Web Audio API code, run it, and see the runtime graph it produces as an interactive visual representation. Instead of mentally tracking connect() calls, you can inspect the actual structure of the graph, follow signal flow, and tweak parameters while the audio is playing.<p>It includes built-in visualizations for common node types — waveforms, filter responses, analyser time and frequency views, compressor transfer curves, waveshaper distortion, spatial positioning, delay timing, and more — so you can better understand what each part of the graph is doing. You can also insert an AnalyserNode between any two nodes to inspect the signal at that exact point in the chain.<p>There are around 20 templates (basic oscillator setups, FM&#x2F;AM synthesis, convolution reverb, IIR filters, spatial audio, etc.), so you can start from working examples and modify them instead of building everything from scratch.<p>Everything runs fully locally in the browser — no signup, no backend.<p>The motivation came from working with non-trivial Web Audio graphs and finding it increasingly difficult to reason about structure and signal flow once things grow beyond simple examples. Most tutorials show small snippets, but real projects quickly become harder to inspect. I wanted something that stays close to the native Web Audio API while making the runtime graph visible and inspectable.<p>This is an early alpha and desktop-only for now.<p>I’d really appreciate feedback — especially from people who have used Web Audio API in production or built audio tools. You can leave comments here, or use the feedback button inside the app.<p><a href="https:&#x2F;&#x2F;webaudio.studio" rel="nofollow">https:&#x2F;&#x2F;webaudio.studio</a>

“Microslop” filtered in the official Microsoft Copilot Discord server

U.S. science agency moves to restrict foreign scientists from its labs

Show HN: Omni – Open-source workplace search and chat, built on Postgres Hey HN!<p>Over the past few months, I&#x27;ve been working on building Omni - a workplace search and chat platform that connects to apps like Google Drive&#x2F;Gmail, Slack, Confluence, etc. Essentially an open-source alternative to Glean, fully self-hosted.<p>I noticed that some orgs find Glean to be expensive and not very extensible. I wanted to build something that small to mid-size teams could run themselves, so I decided to build it all on Postgres (ParadeDB to be precise) and pgvector. No Elasticsearch, or dedicated vector databases. I figured Postgres is more than capable of handling the level of scale required.<p>To bring up Omni on your own infra, all it takes is a single `docker compose up`, and some basic configuration to connect your apps and LLMs.<p>What it does:<p>- Syncs data from all connected apps and builds a BM25 index (ParadeDB) and HNSW vector index (pgvector) - Hybrid search combines results from both - Chat UI where the LLM has tools to search the index - not just basic RAG - Traditional search UI - Users bring their own LLM provider (OpenAI&#x2F;Anthropic&#x2F;Gemini) - Connectors for Google Workspace, Slack, Confluence, Jira, HubSpot, and more - Connector SDK to build your own custom connectors<p>Omni is in beta right now, and I&#x27;d love your feedback, especially on the following:<p>- Has anyone tried self-hosting workplace search and&#x2F;or AI tools, and what was your experience like? - Any concerns with the Postgres-only approach at larger scales?<p>Happy to answer any questions!<p>The code: <a href="https:&#x2F;&#x2F;github.com&#x2F;getomnico&#x2F;omni" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;getomnico&#x2F;omni</a> (Apache 2.0 licensed)

Converting dash cam videos into Panoramax images

If AI writes code, should the session be part of the commit?

Show HN: Logira – eBPF runtime auditing for AI agent runs I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent&#x27;s own output tells you a story, but it&#x27;s the agent&#x27;s story.<p>logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks.<p><a href="https:&#x2F;&#x2F;github.com&#x2F;melonattacker&#x2F;logira" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;melonattacker&#x2F;logira</a>

Allegations of insider trading over prediction-market bets tied to Iran conflict

Why does C have the best file API

Show HN: I built a tool that turns any API into a CLI for agents TLDR; I built a tool that turns any API into a CLI designed for ai agents<p>---<p>Got tired of dealing with bloated context windows from MCP servers and skills that stuff entire API docs into the agent&#x27;s context<p>CLIs fix this, agents run a single command to self-discover everything an API has to offer<p>So, built a tool to generate them for any api. All CLIs are written in Go, fast and lightweight, no dependencies<p>Help text (via the --help flag) is the killer feature: all context for each command&#x2F;endpoint&#x2F;parameter is extracted directly from the user-facing API docs and enhanced with llms. It&#x27;s bundled directly with the CLI and agents fetch only what they need at runtime. No context overhead, no fumbled API calls.<p>Most APIs don&#x27;t have a CLI yet. Can have Opus one-shot simple ones, but building a great one with cross-platform binaries, install scripts, detailed help text, and auto-updates takes time and is frustrating to repeat for every API. Maintaining it the API grows is a headache<p>Give InstantCLI any API docs url and it generates a production-ready CLI in minutes. It includes binaries + install scripts for all platforms, auto-updates as your API changes, docs-enhanced help text designed for agents, and hosting

Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering

I Built a Scheme Compiler with AI in 4 Days

When does MCP make sense vs CLI?

Show HN: MCP Playground – free MCP test servers, inspector, and 10K+ server list MCP Playground is a Postman-style tool for MCP — inspect servers, execute tools live, test your client, all from the browser.<p>Four things in one place:<p>1. Free hosted MCP servers — four public test servers anyone can point their client at: Echo (connectivity), Auth (Bearer token flow), Error (error handling), Complex (multi-tool schemas).No sign-up, just use the URL.<p>2. Server inspector — paste any remote MCP server URL, see all its tools&#x2F;resources&#x2F;prompts, execute them live, inspect the full JSON-RPC log. HTTP, SSE, and WebSocket all supported.<p>3. Registry — 10,000+ servers indexed by category. Each links to the repo and can be tested in the inspector directly.<p>4. Recipes + guides — 45 articles and step-by-step workflows for real use cases: GitHub PR reviewer, standup bot, database query assistant, Meta ads automation, and more.<p>Everything free, no install, no sign-up.<p>Happy to answer questions on the implementation.

AI Made Writing Code Easier. It Made Being an Engineer Harder

Ape Coding

Show HN: I'm a teen from Kenya and I built a package manager in Rust for fun