🛠️ All DevTools

[API/SDK] CAMARA: Open-source API for telecom and 5G networks

[Other] An OSINT tool to search for accounts by username and email in social networks.

[Other] Show HN: Any-LLM – Lightweight router to access any LLM Provider We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update &quot;openai&#x2F;gpt-4&quot; to &quot;anthropic&#x2F;claude-3&quot; and you&#x27;re done.<p>It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import.<p>Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!

[Other] Show HN: Go Command-streaming lib for distributed systems (3x faster than gRPC) I created cmd-stream-go, a high-performance client-server library based on the Command Pattern, where Commands are first-class citizens.<p>Why build around Commands? As serializable objects, they can be sent over the network and persisted. They also provide a clean way to model distributed transactions through composition, and naturally support features like Undo and Redo. These qualities make them a great fit for implementing consistency patterns like Saga in distributed systems.<p>On the performance side, sending a Command involves minimal overhead — only its type and data need to be transmitted. In benchmarks focused on raw throughput (measured using 1, 2, 4, 8, and 16 clients in a simple request&#x2F;response scenario), <i>cmd-stream&#x2F;MUS</i> (<i>cmd-stream&#x2F;Protobuf</i>) is about 3x (2.8x) faster than <i>gRPC&#x2F;Protobuf</i>, where <i>MUS</i> is a serialization format optimized for low byte usage. This kind of speedup can make a real difference in high-throughput systems or when you&#x27;re trying to squeeze more out of limited resources.<p>By putting Commands at the transport layer, cmd-stream-go avoids the extra complexity of layering Command logic on top of generic RPC or REST.<p>The trade-offs: it’s currently Go-only and maintained by a single developer.<p>If you’re curious to explore more, you can check out the cmd-stream-go repository (<a href="https:&#x2F;&#x2F;github.com&#x2F;cmd-stream&#x2F;cmd-stream-go">https:&#x2F;&#x2F;github.com&#x2F;cmd-stream&#x2F;cmd-stream-go</a>), see performance benchmarks (<a href="https:&#x2F;&#x2F;github.com&#x2F;ymz-ncnk&#x2F;go-client-server-benchmarks">https:&#x2F;&#x2F;github.com&#x2F;ymz-ncnk&#x2F;go-client-server-benchmarks</a>), or read the series of posts on Command Pattern and how it can be applied over the network (<a href="https:&#x2F;&#x2F;medium.com&#x2F;p&#x2F;f9e53442c85d" rel="nofollow">https:&#x2F;&#x2F;medium.com&#x2F;p&#x2F;f9e53442c85d</a>).<p>I’d love to hear your thoughts — especially where you think this model could shine, any production concerns, similar patterns or tools you’ve seen in practice.<p>Feel free to reach me as <i>ymz-ncnk</i> on the Gophers Slack or follow <a href="https:&#x2F;&#x2F;x.com&#x2F;cmdstream_lib" rel="nofollow">https:&#x2F;&#x2F;x.com&#x2F;cmdstream_lib</a> for project updates.

[CLI Tool] Show HN: Giti – Natural Language to Git Commands with Local LLM Hi HN,<p>I built Giti, a command-line tool that converts plain English into actual Git commands using a fast, local language model (Qwen2.5-Coder, ~1 GB).<p>Example:<p>Input: giti &quot;undo last commit&quot;<p>Output: git reset --soft HEAD~1<p>No internet required after setup. No API keys. You can also run it in an interactive shell to chain commands naturally.<p>Key features: - Natural language to Git translation - Local LLM powered by Qwen2.5-Coder in GGUF format - Works fully offline after model download - Dry-run mode to preview commands before running - Interactive shell mode for session-based workflows - Context file support to teach Giti your custom Git habits<p>Quick install: - Clone the repo - Install llama-cpp-python - Add giti to your PATH - Download the 1GB model from HuggingFace - Run giti &quot;your query.&quot;<p>You can also enhance its accuracy using context files in a simple Q&amp;A format like:<p>USER: How to start new feature? BOT: git checkout main &amp;&amp; git pull &amp;&amp; git checkout -b feature&#x2F;&lt;name&gt;<p>This lets Giti learn your workflow and generate project-specific Git commands.<p>Thanks for checking it out.

[Other] Show HN: Dyad – build AI apps locally, no cloud

[Other] Stay private & undetectable online Invisible Browser is a private, screen-share-proof browser built for developers. Stay invisible during technical interviews, switch between AIs, research docs, or Google anything — without your interviewer ever seeing it.

[Other] Pay-per-use billing for developers I built Billivio because subscriptions don’t fit every app. Some products just need a way to charge per-use, without duct-taping together your own backend or locking users into monthly plans.

[Monitoring/Observability] Windows & ad log intelligence Explore advanced cybercrime investigation tools, digital forensics, and Windows/AD log analysis. Our platform offers activity tracing—built for security experts and forensic analysts.

[Other] Open-source project management tool for modern teams Ditch the bloat, skip the chaos. Kanba is a lightning-fast, open-source project management tool for makers who just want to build. No setup. No noise. Just clean workflows, beautiful UI, and full control. Self-host or go hosted. Designed for your pace.

[CLI Tool] Bring the power of Grok into your terminal An open-source AI agent that brings the power of Grok directly into your terminal. Built over the weekend with a few design principles in mind: ✅ No LLM frameworks ✅ No lobotomizing models ✅ Hackable (MIT licensed)

[Other] Sniping API keys from GitHub - live, raw, and in real time API Radar tracks real-time API key leaks across GitHub. OpenAI, Google, Claude & more - no honeypots, no junk, just live, bleeding credentials the moment they’re exposed. Built for devs, hackers & teams who want to see the breach before the breach.

[Other] Instant Code-to-Diagram with ToDiagram MCP Server ToDiagram MCP (Model Context Protocol) lets you generate interactive diagrams from code. Easily integrate with AI copilots, internal tools, or developer workflows to visualize JSON, YAML, XML, and CSV data as editable diagrams.

[Other] The platform-agnostic AI alt text generator Tired of heavy plugins? QuickAltText is a lightweight Chrome extension that uses AI to generate WCAG-compliant alt text for any image, on any platform. Perfect for WordPress & Shopify developers and agencies who value site speed and accessibility.

[Other] A conceptual overview of asyncio

[IDE/Editor] Show HN: Lotas – Cursor for RStudio Hey HN! We’re Jorge and Will from Lotas (<a href="https:&#x2F;&#x2F;www.lotas.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.lotas.ai&#x2F;</a>), and we’ve built an AI coding assistant into RStudio (think Cursor for RStudio).<p>RStudio is used by about 2 million data scientists and academics, but they currently lack a coding assistant within their IDE. Developers in other environments benefit from tools like Cursor and Windsurf, but R users don’t have any equivalent tools to speed up their workflow. Since ~80% of R programmers prefer to use RStudio over other IDEs like VSCode to write R code, we figured a tool like this one could be quite useful.<p>Both of us were PhD students at Harvard. Jorge was in the biophysics program and Will was in the biostatistics program where most people used RStudio every day. We saw how integrated code assistants were taking off in other IDEs, but we noticed that the RStudio integrations were still lagging far behind. Many R users were copying and pasting code from ChatGPT to build their workflows, and this was clearly slow and fragile.<p>To bring the Cursor-like experience to RStudio users, we built Rao (<a href="https:&#x2F;&#x2F;www.lotas.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.lotas.ai&#x2F;</a>): a fork of RStudio with an embedded AI assistant that is aware of the user’s local context (both files and variable environment), can read and write files, can run code or commands, and can interpret textual or visual output. It works with any of the file formats already in RStudio (R, notebooks including RMDs and QMDs, Python, Stan, etc.), allowing R programmers to iteratively perform entire data analyses inside their preferred IDE.<p>Other AI data science tools are either (1) built on the web or in environments people don’t already use, (2) are completely focused on python notebooks, or (3) are weak package-based assistants with limited functionality. Rao is exactly like the RStudio IDE that millions of data scientists already use, but it incorporates a powerful AI assistant and works with all the standard file types.<p>You can download Rao at <a href="https:&#x2F;&#x2F;www.lotas.ai&#x2F;download" rel="nofollow">https:&#x2F;&#x2F;www.lotas.ai&#x2F;download</a>, watch our demo on the homepage (<a href="https:&#x2F;&#x2F;www.lotas.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.lotas.ai&#x2F;</a>), and work through some example use cases on our GitHub (<a href="https:&#x2F;&#x2F;github.com&#x2F;lotas-ai&#x2F;rao&#x2F;tree&#x2F;main&#x2F;demos">https:&#x2F;&#x2F;github.com&#x2F;lotas-ai&#x2F;rao&#x2F;tree&#x2F;main&#x2F;demos</a>). We have a one-week free trial (no card required) and provide 500 queries&#x2F;month for $20&#x2F;month after that. We’d love to hear feedback from the HN community to make Rao as useful as possible! You can reach us at founders@lotas.ai.<p>P.S. We have zero data retention (ZDR) agreements with OpenAI and Anthropic, but we currently recommend users do not input sensitive or regulated data like PHI into Rao until we sign BAAs with both model providers. For more information on our security practices, please visit the security page on our website <a href="https:&#x2F;&#x2F;www.lotas.ai&#x2F;security" rel="nofollow">https:&#x2F;&#x2F;www.lotas.ai&#x2F;security</a>.

[Other] Show HN: MCP Jetpack – The easiest way to get started with MCP in Cursor My friends and I built MCP Jetpack which makes it really easy to start using MCP. It’s an MCP server that automatically finds and executes the right tools needed to accomplish your task without having to manage MCP servers for each service (GitHub, Linear, Atlassian, Notion etc.). Once you add it to Cursor (or any other AI app with MCP support), Cursor instantly gets access to a growing library of remote MCP servers without any extra setup. For services that require authentication, you will be asked to login the first time you ask your AI to interact with that service.<p>Two problems we are trying to solve:<p>Friction - Normally if you want to give Cursor access to GitHub, you have to install the right MCP server and login before you can use GitHub with Cursor’s chat. With MCP Jetpack, you can ask Cursor to list your GitHub issues, and it will automatically execute the right tool behind the scenes to accomplish your task. For services that require authentication, you will be asked to login the first time you interact with the service. However, it all happens within the Cursor chat so you never have to context switch and fiddle with Cursor’s settings.<p>Tool Limits - Cursor warns you if you have more than 50 MCP tools installed as it says having more will degrade performance. However, just installing the GitHub MCP server itself adds 74 MCP tools. With MCP Jetpack, you get access to GitHub, Atlassian and 15 other services with just two tools: “FindTool” and “ExecTool”.<p>Here are the 17 services we support today: GitHub, Atlassian, Canva, Linear, Notion, Intercom, Monday.com, Neon, PayPal, Hugging Face, Sentry, Square, Webflow, Wix, Cloudflare Docs, Cloudflare AI Gateway, Cloudflare Workers Bindings.<p>We’ll continue to add more services as companies launch remote MCP servers. If yours isn’t listed and you’d like it to be added, please email us at team@mcpjetpack.com.<p>MCP Jetpack is in alpha so please let us know if you run into any problems or have any feedback - thanks!

[API/SDK] Show HN: An API for human-powered browser tasks At APM Help, we have a large team that performs repetitive, browser-based tasks. Years ago, to manage this work securely and get a clear audit trail, we built an internal platform we call &quot;Hub.&quot; It&#x27;s essentially a locked-down environment where our team works that records their sessions, tracks every interaction, and prevents data from being copied or shared. It&#x27;s been our internal source of truth for years.<p>More recently, like many companies, we&#x27;ve been building more automation. And like everyone else, we&#x27;ve seen our automations fail on edge cases—a weirdly formatted invoice our parser can&#x27;t read, a website layout change that breaks a scraper, etc. Our team would have to manually step in to fix these.<p>We realized other developers must have this exact same problem, but without a 250-person team on standby. So we connected our old, battle-tested Hub to a new, modern front door: a Human-in-the-Loop (HITL) API. We&#x27;re calling it browser-work.com.<p>The idea is simple: when you hit a task that needs a human, you can send it to our team through the API.<p>Here&#x27;s how it works:<p><pre><code> - You POST a request to our endpoint. The payload contains the context for the task (like a URL) and a set of instructions for the human on what to do. - The task appears in the Hub, where one of our trained operators can claim it. - They perform the task exactly as instructed, all within the secure Hub environment. - When they&#x27;re done, we send a webhook to your system. The return payload includes the task&#x27;s output, any notes left by the human, and a detailed log of their actions (e.g., DOM elements they interacted with). </code></pre> For example, if your automation for paying a utility bill fails, you can pass the task to us. A person will log in, navigate the portal, make the payment, and return a confirmation number.<p>The product is live and we&#x27;re looking for people with interesting use cases.<p>I&#x27;m Robert, the CIO. If this sounds useful to you, send me a brief email about your use case at robert@apmhelp.com and we can get you started right away.<p>Happy to answer any questions here.

[Other] All in one project management tool for efficient teams

[Other] 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here:https://discord.gg/jP8KfhDhyN