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Show HN: Open-sourced a web client that lets any device use Apple's on-device AI I use Claude every day but there are things I will not type into a cloud service. I have a Mac with Apple Silicon running Apple Foundation Models locally and privately. But I was not always at my Mac. So we built Perspective Intelligence Web. One Mac runs Perspective Server. Any device on your network opens a browser and chats with Apple Intelligence through it. Phone, Windows laptop, Chromebook, Linux machine. Streaming responses, token by token. Nothing leaves your network. MIT License. Next.js, TypeScript, Tailwind. Full writeup: <a href="https:&#x2F;&#x2F;taylorarndt.substack.com&#x2F;p&#x2F;i-opened-claude-and-then-i-stopped" rel="nofollow">https:&#x2F;&#x2F;taylorarndt.substack.com&#x2F;p&#x2F;i-opened-claude-and-then-...</a>

A Visual Guide to DNA Sequencing

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Show HN: Glyph, a local-first Markdown notes app for macOS built with Rust Glyph is an open-source, local-first Markdown notes app for macOS built with Rust (Tauri)<p>It stores notes as plain files, supports fast search, wikilinks&#x2F;backlinks, and includes optional AI chat, including implementation of Codex so you can use your chatgpt sub, all without requiring a cloud-first workflow.<p><a href="https:&#x2F;&#x2F;glyphformac.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;glyphformac.com&#x2F;</a>

Show HN: A shell-native cd-compatible directory jumper using power-law frecency I have used this tool privately since 2011 to manage directory jumping. While it is conceptually similar to tools like z or zoxide, the underlying ranking model is different. It uses a power-law convolution with the time series of cd actions to calculate a history-aware &quot;frecency&quot; metric instead of the standard heuristic counters and multipliers.<p>This approach moves away from point-estimates for recency. Most tools look only at the timestamp of the last visit, which can allow a &quot;one-off&quot; burst of activity to clobber long-term habits. By convolving a configurable history window (typically the last 1,000+ events), the score balances consistent habits against recent flukes.<p>On performance: Despite the O(N) complexity of calculating decay for 1,000+ events, query time is ~20-30ms (Real Time) in ksh&#x2F;bash, which is well below the threshold of perceived lag.<p>I intentionally chose a Logical Path (pwd -L) model. Preserving symlink names ensures that the &quot;Name&quot; remains the primary searchable key. Resolving to physical paths often strips away the very keyword the user intends to use for searching.

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Show HN: AgentBus – Centralized AI Agent-to-Agent Messaging via REST API Most people right now are talking to their AI agents through Telegram bots, WhatsApp, Discord, or just copying and pasting between terminals.<p>There’s still no simple, straightforward way for agents to message each other directly.<p>AgentBus solves exactly that.<p>You register each agent with one quick API call.<p>Then they can send messages to each other using simple REST calls.<p>No servers, no queues, no WebSockets, no extra infrastructure.<p>Just drop in a tiny polling loop and your agents can now talk, collaborate, and run real workflows across laptops, VPSes, clouds — whatever.<p>You can also message any of your agents yourself from a clean browser UI on your phone, laptop, anywhere.<p><a href="https:&#x2F;&#x2F;agentbus.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;agentbus.org&#x2F;</a><p>How are you currently making your agents talk to each other? Would love to hear.

The largest acidic geyser has been putting on quite a show

You can't use a code editor when you're under 18 now?

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Downdetector, Speedtest sold to IT service provider Accenture in $1.2B deal

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