🛠️ All DevTools

[Other] A powerful Telegram bot that provides remote access to Claude Code, enabling developers to interact with their projects from anywhere with full AI assistance and session persistence.

[Other] Show HN: A physically-based GPU ray tracer written in Julia We ported pbrt-v4 to Julia and built it into a Makie backend. Any Makie plot can now be rendered with physically-based path tracing.<p>Julia compiles user-defined physics directly into GPU kernels, so anyone can extend the ray tracer with new materials and media - a black hole with gravitational lensing is ~200 lines of Julia.<p>Runs on AMD, NVIDIA, and CPU via KernelAbstractions.jl, with Metal coming soon.<p>Demo scenes: github.com&#x2F;SimonDanisch&#x2F;RayDemo

[DevOps] Know your blast radius. Terraform Blast Radius — Visually explore terraform plan output, trace resource dependencies, and inspect attribute-level diffs before running apply.

[Other] Text + Image to CAD. World's best VibeCAD! Ragnar is an AI-powered CAD platform that lets anyone turn ideas, text, and images into professional 3D CAD models — no design or CAD tool experience required. Simply describe what you want, upload a sketch, and iterate on your design through a chat interface. Export your models in industry-standard formats for 3D printing or manufacturing workflows.

[Other] A web builder/editor that allows you to create websites. RetroBuilder Ultra is a self-contained, browser-based website builder that recreates the authentic 90s web experience. No accounts, no cloud, no subscription — just open the HTML file and start building GeoCities-style pages with floating elements, MIDI audio, tiled backgrounds, and period-accurate snippets like hit counters and under construction banners. Export a single HTML file and host it anywhere. It's the anti-Webflow.

[Build/Deploy] Launch AI apps in minutes with one-command deployment. Production-ready Next.js template with AI chat, Auth0, Stripe subscriptions, and Postgres. Plug in ChatGPT, Claude, or Gemini and deploy in 1 command.

[Other] One structured decision per cycle — governance built in. Decys is a decisioning layer that diagnoses business friction points and returns one high-confidence decision — or tells you to do nothing. — Governance-first — Decisions respect your rules, not just vibes. — Purpose-built flows for Founders, Ops, Finance, People, and VC. — No signup required. No dashboard. Structured decision in 5 mins. — Enterprise-ready — API keys, RBAC, SSO, audit exports, tenant isolation, retention policies. — Integrations — Slack, Jira, Notion, GitHub, or Linear.

[Other] Turn handwritten notes into organised clarity Clarion turns handwritten notes into clear, structured, usable text in seconds. Take a photo of your notebook, planner, or whiteboard, and Clarion intelligently extracts and organises your thoughts into tasks, ideas, and notes. It can also rewrite messy notes for clarity and generate summaries instantly. Clarion helps bridge the gap between thinking on paper and taking action digitally, so your ideas don’t stay trapped in notebooks.

[Other] 35+ Free AI Tools Create professional resumes, blog posts, social media content & more with 35+ free AI tools by asktodo.ai. No subscription required - get 5,000 free credits monthly for all productivity tools.

[Other] The local-first, lightning-fast Gantt chart for JIRA. TrackLens is a tool that pulls your Epics and lets you manage them locally with a real-time Gantt view. Tech Stack: React 19, Tailwind, Node.js (Proxy). Key highlights: 🚀 Local-first architecture with instant performance 📅 Smart, non-destructive date autogeneration 🧠 Built-in RAG risk intelligence 🧪 Safe what-if planning with local edits 🌗 Dark and light themes 🔒 Privacy-first, no vendor lock-in Stop fighting Jira’s UI. Keep the database. Upgrade the view.

[Other] Ready-made Microsoft Power Apps templates for businesses Powerapps-template.com offers a growing library of professional, ready-to-deploy Microsoft Power Apps templates. Whether you need HR tools, project trackers, inventory systems, or approval workflows — download, customize, and launch in minutes. Built for business users and IT teams who want to move fast without building from scratch.

[Other] Ask Claude, GPT-4o, Gemini, Llama & Grok at once Ai1 lets you ask all 5 major AIs the same question simultaneously and compare their answers side by side. Instead of switching between ChatGPT, Claude, Gemini, and others — just type once and get every perspective at once.

[Build/Deploy] Electrobun v1: Build fast, tiny, and cross-platform desktop apps with TypeScript I&#x27;m building a commercial macOS app with Electrobun [1]. I have previously written the same app with Tauri. I&#x27;ll say that, while I love Tauri, using Electrobun has been an absolute breeze. I got the same app done in roughly 70% of the time [2]. It&#x27;s a very productive stack. In no small part due to Electrobun, but also the fact that Bun has tons of DX niceties and a builtin bundler.<p>Electrobun lets you open&#x2F;manipulate&#x2F;close webview windows and communicate with them using typed rpc. It also handles building, code signing, and notarization.<p>And because I&#x27;m using Bun, running an HMR + React + Tailwind server is just one command (`bun .&#x2F;index.html`) or like 5 lines of code. Pass --console and the webview&#x27;s console.log()s get streamed to your Terminal too.<p>There&#x27;s tons of other things Electrobun does that I haven&#x27;t even mentioned, because I haven&#x27;t interacted much with them yet. E.g. I know that it lets you show platform-native notifications, prompts&#x2F;popups, etc.<p>There also is a very impressive updating mechanism that relies on a bsdiff implementation written in Zig. You just ship the deltas, so updates to very large apps are just a few KBs most of the time.<p>It&#x27;s genuinely a very productive stack and impressive piece of tech.<p>[1] Not affiliated - I just like the project.<p>[2]: The API and implementation was clear, so I&#x27;ll cautiously say this is not a case of &quot;rewrites are always faster&quot;. In fact, the Tauri version was a rewrite too :)

[Other] Show HN: Echo, an iOS SSH+mosh client built on Ghostty

[API/SDK] Show HN: Trust Protocols for Anthropic/OpenAI/Gemini Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one.<p>Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring:<p>- Agent Alignment Protocol (AAP): What an agent can do &#x2F; has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing &#x2F; is allowed to do.<p>The problem: AI agents make autonomous decisions but have no standard way to declare what they&#x27;re allowed to do, prove they&#x27;re doing it, or detect when they&#x27;ve drifted. Observability tools tell you what happened. These protocols tell you whether what happened was okay.<p>Here&#x27;s a concrete example. Say you have an agent who handles customer support tickets. Its Alignment Card declares:<p>{ &quot;permitted&quot;: [&quot;read_tickets&quot;, &quot;draft_responses&quot;, &quot;escalate_to_human&quot;], &quot;forbidden&quot;: [&quot;access_payment_data&quot;, &quot;issue_refunds&quot;, &quot;modify_account_settings&quot;], &quot;escalation_triggers&quot;: [&quot;billing_request_over_500&quot;], &quot;values&quot;: [&quot;accuracy&quot;, &quot;empathy&quot;, &quot;privacy&quot;] }<p>The agent gets a ticket: &quot;Can you refund my last three orders?&quot; The agent&#x27;s reasoning trace shows it considering a call to the payments API. AIP reads that thinking, compares it to the card, and produces an Integrity Checkpoint:<p>{ &quot;verdict&quot;: &quot;boundary_violation&quot;, &quot;concerns&quot;: [&quot;forbidden_action: access_payment_data&quot;], &quot;reasoning&quot;: &quot;Agent considered payments API access, which is explicitly forbidden. Should escalate to human.&quot;, &quot;confidence&quot;: 0.95 }<p>The agent gets nudged back before it acts. Not after. Not in a log you review during a 2:00 AM triage. Between this turn and the next.<p>That&#x27;s the core idea. AAP defines what agents should do (the contract). AIP watches what they&#x27;re actually thinking and flags when those diverge (the conscience). Over time, AIP builds a drift profile — if an agent that was cautious starts getting aggressive, the system notices.<p>When multiple agents work together, it gets more interesting. Agents exchange Alignment Cards and verify value compatibility before coordination begins. An agent that values &quot;move fast&quot; and one that values &quot;rollback safety&quot; registers low coherence, and the system surfaces that conflict before work starts. Live demo with four agents handling a production incident: <a href="https:&#x2F;&#x2F;mnemom.ai&#x2F;showcase" rel="nofollow">https:&#x2F;&#x2F;mnemom.ai&#x2F;showcase</a><p>The protocols are Apache-licensed, work with any Anthropic&#x2F;OpenAI&#x2F;Gemini agent, and ship as SDKs on npm and PyPI. A free gateway proxy (smoltbot) adds integrity checking to any agent with zero code changes.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;mnemom" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;mnemom</a> Docs: docs.mnemom.ai Demo video: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;fmUxVZH09So" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;fmUxVZH09So</a>

[Build/Deploy] 1-click deploy for popular open-source apps Deploy WordPress, n8n, AnythingLLM, NocoDB, and more in seconds — at half the cost of major cloud providers. Hyp.app lets you install popular open-source applications with one click, including a freehyp.app subdomain, custom domains, and SSL.

[IDE/Editor] Show HN: VectorNest responsive web-based SVG editor I’ve just released VectorNest — an open-source, browser-based SVG editor.<p>If you have an SVG and need quick edits (paths, alignment, small fixes, animations, LLM assistance) without installing software, this is for you.<p>Try the demo: <a href="https:&#x2F;&#x2F;ekrsulov.github.io&#x2F;vectornest&#x2F;" rel="nofollow">https:&#x2F;&#x2F;ekrsulov.github.io&#x2F;vectornest&#x2F;</a> GitHub repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;ekrsulov&#x2F;vectornest" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ekrsulov&#x2F;vectornest</a><p>Feedback, issues and contributions are welcome.

[DevOps] Show HN: I built a fuse box for microservices Hey HN! I&#x27;m Rodrigo, I run distributed systems across a few countries. I built Openfuse because of something that kept bugging me about how we all do circuit breakers.<p>If you&#x27;re running 20 instances of a service and Stripe starts returning 500s, each instance discovers that independently. Instance 1 trips its breaker after 5 failures. Instance 14 just got recycled and hasn&#x27;t seen any yet. Instance 7 is in half-open, probing a service you already know is dead. For some window of time, part of your fleet is protecting itself and part of it is still hammering a dead dependency and timing out, and all you can do is watch.<p>Libraries can&#x27;t fix this. Opossum, Resilience4j, Polly are great at the pattern, but they make per-instance decisions with per-instance state. Your circuit breakers don&#x27;t talk to each other.<p>Openfuse is a centralized control plane. It aggregates failure metrics from every instance in your fleet and makes the trip decision based on the full picture. When the breaker opens, every instance knows at the same time.<p>It&#x27;s a few lines of code:<p><pre><code> const result = await openfuse.breaker(&#x27;stripe&#x27;).protect( () =&gt; chargeCustomer(payload) ); </code></pre> The SDK is open source, anyone can see exactly what runs inside their services.<p>The other thing I couldn&#x27;t let go of: when you get paged at 3am, you shouldn&#x27;t have to find logs across 15 services to figure out what&#x27;s broken. Openfuse gives you one dashboard showing every breaker state across your fleet: what&#x27;s healthy, what&#x27;s degraded, what tripped and when. And, you shouldn&#x27;t need a deploy to act. You can open a breaker from the dashboard and every instance stops calling that dependency immediately. Planned maintenance window at 3am? Open beforehand. Fix confirmed? Close it instantly. Thresholds need adjusting? Change them in the dashboard, takes effect across your fleet in seconds. No PRs, no CI, no config files.<p>It has a decent free tier for trying it out, then $99&#x2F;mo for most teams, $399&#x2F;mo with higher throughput and some enterprise features. Solo founder, early stage, being upfront.<p>Would love to hear from people who&#x27;ve fought cascading failures in production. What am I missing?

[Other] An open-source AI agent that lives in your terminal.

[CLI Tool] Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.