🛠️ All DevTools

[Other] FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

[Other] Show HN: Sylph – the open-source company brain behind my YC startup Hello HN! I&#x27;m Claire, founder of nao Labs (YC X25). Two months ago I started building a company brain in a git repo. Now I fully run my company with 8 AI agents, 20+ skills, and a self-learning context repo.<p>I built it in a git repo because I refused to lock into any tool - not a context layer, not a specific agent harness. Today I&#x27;m open sourcing it so others can build their own.<p>Sylph is the open source version of the company brain I use. It gives you the structure to host your own company context, build skills, create AI agents, and already has a self-learning loop scaffolded. It is a Git repo, with no lock-in on any tool, that can work with any agent: Claude Code, Codex, Cursor.<p>Sylph is made for you to make your own: fork it, run &#x2F;sylph-setup, and it will build your own company brain according to your own context.<p>Repo: github.com&#x2F;getnao&#x2F;sylph<p>How I built it: <a href="https:&#x2F;&#x2F;thenewaiorder.substack.com&#x2F;p&#x2F;i-built-a-company-brain-to-run-my" rel="nofollow">https:&#x2F;&#x2F;thenewaiorder.substack.com&#x2F;p&#x2F;i-built-a-company-brain...</a><p>Tell me what you think, and if you&#x27;ve got some tips if you built an AI brain for your company too!

[Other] Slumber a TUI HTTP Client

[Other] Show HN: Open-source .docx editor library for building document apps We are working on an open-source .docx editor library for apps that need to edit Word documents in the browser. We just shipped 1.0.<p>A lot of existing approaches convert .docx into HTML and lose document semantics along the way. Our editor parses OOXML directly and uses its own rendering+layout engine to produce paged documents with html&#x2F;css. Edits round-trip back to .docx, so you’re always editing the document, not its representation.<p>The core rendering engine is framework agnostic, with React and Vue ui adapters on top.<p>It’s Apache 2.0. Happy to answer questions.

[DevOps] Launch HN: Runtime (YC P26) – Sandboxed coding agents for everyone on a team Hey HN, We&#x27;re Gus and Carlos from Runtime (<a href="https:&#x2F;&#x2F;runtm.com">https:&#x2F;&#x2F;runtm.com</a>). We&#x27;re building infra that lets your whole team (including non-engineers) ship with Claude Code, Codex, and other agents without engineering having to handhold every session.<p>After Mentum (YC S21) was acquired, I personally shipped 4 full-stack products in 3 months using coding agents. When I tried to roll the same workflow out to the rest of the team, it fell apart: Most PRs were unmergeable slop - Every repo required an engineer doing one-off local setup. - Skills and context lived in one person&#x27;s head. - There was no safe way for a PM to touch a real codebase without risking a bad deploy or a secrets leak.<p>Carlos comes from building agentic reconciliation systems at Modern Treasury and had a similar experience when letting his support team use devin.<p>We ended up building internal background agent infra but it quickly became a nightmare to mantain and develop. We built Runtime so you don&#x27;t have to do this kind of thing.<p>Runtime work like as follows. Engineering defines the context once: system instructions, skills, and scoped integrations installable via CLI, mise, npm, or any package manager. Then Runtime snapshots your full running environment including multi-service Docker Compose setups, Kafka, Redis, seeded DBs, so it comes up in milliseconds with every server already running.<p>We orchestrate across sandbox providers like E2B, Daytona, EC2 or self-hosted K8s depending on your setup. Secrets are injected through our managed proxy so they never touch the agent directly, and guardrails run at the infrastructure level: command allow&#x2F;deny lists, network egress controls, and RBAC scoped per human and per agent. Every session also gets a shareable preview URL, so internal builds go from sandbox to the rest of the team without needing production access.<p>Runtime works with whichever agent your team already uses: Claude Code, Codex, Cursor, Copilot, Gemini, Devin. You can trigger sandboxes from our web app, CLI, Slack, Linear, GitHub, or API.<p>One of our customers built an on-call inspector that wires PagerDuty, Sentry, and their repo so when an alert fires, the agent finds the cause and opens a PR with a unit test before anyone gets paged. Another runs a finance agent in a private Slack channel pulling from Stripe, NetSuite, and Snowflake to run reconciliations in minutes with source rows attached.<p>A fintech unicorn and several YC scaleups are live on Runtime, including a few teams who had built similar infrastructure internally and handed it to us to take over.<p>The core is open source at <a href="https:&#x2F;&#x2F;github.com&#x2F;runtm-ai&#x2F;runtm" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;runtm-ai&#x2F;runtm</a>. Hosted version is live at <a href="https:&#x2F;&#x2F;app.runtm.com">https:&#x2F;&#x2F;app.runtm.com</a>, free tier included. We&#x27;re charging a flat platform fee plus compute, no token markup.<p>Check our demo: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=wLwj__aEEh4" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=wLwj__aEEh4</a><p>We&#x27;d love to hear how you&#x27;re thinking about the infra for letting more people across your org use coding agents without creating chaos!

[Other] We Reverse-Engineered Docker Sandbox's Undocumented MicroVM API

[Other] Show HN: Freenet, a peer-to-peer platform for decentralized apps For the past 5 years or so I&#x27;ve been working on a ground-up redesign of Freenet, my peer-to-peer project from the early 2000s (now renamed Hyphanet).<p>The new Freenet has been up and running since December along with some early applications like River[1], our decentralized group chat and Delta - a decentralized CMS. Users have already started to build their own apps on Freenet including games, and we have some interesting apps in development like Atlas, a search&#x2F;recommendation engine.<p>Architecturally, this new Freenet is a global, decentralized key-value store where keys are webassembly contracts which define what values (aka &quot;state&quot;) are valid for that key, how or when the values can be mutated, and how the state can be efficiently synchronized between peers.<p>We&#x27;ve developed a unique (AFAIK) solution to the consistency problem, every contract must define a &quot;merge&quot; operation for the contract&#x27;s associated state. This operation must be commutative, meaning that you can merge multiple states in any order and you&#x27;ll get the same end result.<p>This approach allows state updates to spread through the network like a virus[2], which typically achieves consistent global state in a few seconds or less.<p>Like the world wide web, Freenet applications can be downloaded from the network itself and run in a web browser - similar to single-page apps on the normal web. However, rather than connecting back to an API running in a datacenter, the webapp connects locally to the Freenet peer and interacts with Freenet contracts and delegates over a local websocket connection.<p>If you&#x27;d like to try Freenet we have convenient installers for the major desktop OSs but not yet mobile, and you can be chatting with other users on River within seconds[3]. Happy to answer any questions, you&#x27;re also welcome to read our FAQ[4], or watch a talk I gave back in March[5].<p>[1] <a href="https:&#x2F;&#x2F;github.com&#x2F;freenet&#x2F;river" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;freenet&#x2F;river</a><p>[2] <a href="https:&#x2F;&#x2F;freenet.org&#x2F;about&#x2F;news&#x2F;summary-delta-sync&#x2F;" rel="nofollow">https:&#x2F;&#x2F;freenet.org&#x2F;about&#x2F;news&#x2F;summary-delta-sync&#x2F;</a><p>[3] <a href="https:&#x2F;&#x2F;freenet.org&#x2F;quickstart&#x2F;" rel="nofollow">https:&#x2F;&#x2F;freenet.org&#x2F;quickstart&#x2F;</a><p>[4] <a href="https:&#x2F;&#x2F;freenet.org&#x2F;faq&#x2F;" rel="nofollow">https:&#x2F;&#x2F;freenet.org&#x2F;faq&#x2F;</a><p>[5] <a href="https:&#x2F;&#x2F;youtu.be&#x2F;3SxNBz1VTE0" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;3SxNBz1VTE0</a>

[Other] Show HN: I Made a Claude Skill for Spec-Driven Development (SDD) At my work they provided a single Claude subscription for everyone on the team. To be honest I like kiro better as it provides a way better SDD management. But the company can&#x27;t provide it and I can&#x27;t afford it yet. Turns out I had the skill creator skill in my claude instance so I made use of it to create this Skill. I made it fully by using Claude but I wanted to make it open source, so I asked it to help me make tests and preparations for it, even a CI to run python tests.<p>Well, we got this results with it:<p>- Phase 2A: 67 static assertions (Python script, runs in CI)<p>- Phase 2B: 15 behavioral tests (live Claude Code session)<p>- Phase 2C: 53 generation quality checks across 3 end-to-end flows<p>All of these passed and the CI also passed (after a few tries).<p>I made it to suit my way of prompting and coding and based it off kiro&#x27;s SDD management, but I want it to be publicly available and used by many people. According to claude some of the testers need to fit the following criteria:<p>1. Developer starting a real new project from scratch<p>2. Solo dev with an active side project (greenfield or partial codebase)<p>3. Team lead whose team uses multiple AI tools<p>4. Developer with an existing codebase and no written specs<p>5. Developer who actively uses 3+ AI coding tools<p>It&#x27;s actually a blind test, no guiding, just try it if you can, I&#x27;d really appreciate your help.<p>The repo is here: <a href="https:&#x2F;&#x2F;github.com&#x2F;FredAntB&#x2F;Spec-Driven-Development" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;FredAntB&#x2F;Spec-Driven-Development</a>

[Other] Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

[Other] Repository for skills to assist AI coding agents with .NET and C#

[CLI Tool] Show HN: Rmux – A programmable terminal multiplexer with a Playwright-style SDK Author here. RMUX started from a frustration: I&#x27;ve used tmux for years and got tired of scraping output with grep and sleeps to automate anything. So I rebuilt the multiplexer from scratch in Rust, with a programmable layer on top.<p>Two surfaces: a tmux-compatible CLI (~90 commands, your keybindings just work), and a typed async Rust SDK on the same daemon — stable pane IDs, structured snapshots, locator-style waits. The idea is Playwright-style automation, but for terminals.<p>Native on Linux, macOS, Windows (real ConPTY, no WSL).<p>Demos and docs at rmux.io. Happy to answer questions about the daemon protocol, ConPTY, or the SDK design.

[API/SDK] Free, Open Source, Self-Hosted WhatsApp API Gateway

[Other] Show HN: I reverse engineered Apple's video wallpapers Ever since Apple introduced their video wallpapers I wanted to be able to put custom videos there. I decided to reverse engineer and see what I can do.<p>I built Phosphene to sell it, but the existing competitors were polished enough that the time it would have taken to catch up wasn&#x27;t going to pay off. So I&#x27;m open-sourcing it.<p>WallpaperExtensionKit.framework is what powers macOS wallpapers. It controls what’s shows in the Settings app. It took a lot of trial and error to replicate the behavior, but the result is that your custom wallpapers appear alongside everything else. I wanted to have an “add” button there too, but I couldn’t find a way to do so, so there’s a companion app that will put your video where it needs to be.<p>Unlike Apple&#x27;s Aerials, the video keeps playing on the desktop (not just the lock screen). The renderer drives AVSampleBufferDisplayLayer directly with PTS-offset gapless looping, and pauses or downshifts based on thermal state, battery level, brightness, and window occlusion.<p>It’s free and works well.

[CLI Tool] Deep – CLI/REPL for generating and iterating on codebases using DeepSeek

[Other] Show HN: CPU-only transcription for YouTube, TikTok, X, Instagram videos

[Other] GitHub's take on age assurance for developers

[Other] Show HN: Dari-docs – Optimize your docs using parallel coding agents It’s well known at this point that documentation needs to be optimized for AI agents - we’re all pointing our Claude Code &#x2F; Codex &#x2F; Pi agents at documentation, and expecting the models to figure out how to implement a product.<p>This, however, changes the entire optimization problem when writing documentation. Good documentation now becomes more objective - you are solving the very concrete problem: can a dumb harness running the dumbest model implement this reliably?<p>Humans can typically compensate for inconsistent terminology or scattered context across pages, but for agents, this often will waste time (or even just completely confuse the agent).<p>We’ve been building a small project around this called dari-docs: users can upload their documentation via website or CLI and run agents across different providers to see where they falter. You can upload your documentation, feed a list of tasks, and ask agents with varying intelligence &#x2F; cost levels to complete those tasks in parallel. When a run is complete, you get back a list feedback markdown files from each agent run and can apply changes based on agent feedback.<p>Managed service: <a href="https:&#x2F;&#x2F;optimize.dari.dev&#x2F;">https:&#x2F;&#x2F;optimize.dari.dev&#x2F;</a>, repo link: <a href="https:&#x2F;&#x2F;github.com&#x2F;mupt-ai&#x2F;dari-docs" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;mupt-ai&#x2F;dari-docs</a><p>The agents actually try to use the product end-to-end. They search through the docs, follow instructions, run commands, try examples, and attempt to debug failures. Importantly, this is not a static LLM review of the documentation. The agents are actually attempting the integration.<p>You can also enable live verification with test credentials so the agents can actually verify workflows against real APIs:<p><pre><code> dari-docs check . --live-verify --secret-env DARI_TEST_API_KEY --task &quot;Create a checkout session&quot; </code></pre> If you’re building a CLI, API, MCP server, or SDK and actively maintaining docs for humans or agents, we’d love to work with you and test this on real workflows!

[Other] Show HN: Lance – image/video generation and understanding in one model The model has 3B active parameters. We put the code, homepage, paper and model links here:<p>- Code: <a href="https:&#x2F;&#x2F;github.com&#x2F;bytedance&#x2F;Lance" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bytedance&#x2F;Lance</a><p>- Homepage: <a href="https:&#x2F;&#x2F;lance-project.github.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;lance-project.github.io&#x2F;</a><p>- Paper: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2605.18678" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2605.18678</a><p>- Model: <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;bytedance-research&#x2F;Lance" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;bytedance-research&#x2F;Lance</a><p>p.s. Lance is a research project, not a polished product. The model was trained using fewer than 128 GPUs.

[Other] SBCL: the ultimate assembly code breadboard (2014)

[Other] Formal Verification Gates for AI Coding Loops