🛠️ All DevTools

[Other] Track saas subscriptions easily Chrome extension to track SaaS usage, identify renewals, and manage employee offboarding across all your apps

[Other] Run Any App as a Windows Service – NSSM Alternative Servy lets you run any app as a Windows service with full control over working directory, startup type, logging, health checks, and parameters. A fully managed alternative to NSSM.

[Other] A collaborative multi-agent system builder with canvas. MAS Design lets you build, connect, and share multi-agent systems on an interactive canvas with reference support. It’s an open-source community directory to explore and collaborate on agent-based models, ideal for researchers, educators, and developers.

[Other] Headless browser tool for scraping anything on the internet Supacrawler is a simple API for developers to reliably crawl sites, scrape content, and capture screenshots. Built and priced for individual builders and researchers. Available today in Public Beta.

[Other] Repository monetization platform for developers. A dual-marketplace for developers, monetize your public/private repos and find high quality software to support.

[CLI Tool] Expert terminal command generator Convert natural language requests to Windows, Linux, and macOS terminal commands. Features advanced operations, security tools, database management, and system administration commands.

[Other] How to safely escape JSON inside HTML SCRIPT elements

[Other] Build durable workflows with Postgres

[IDE/Editor] Efrit: A native elisp coding agent running in Emacs

[Other] Show HN: Selfhostllm.org – Plan GPU capacity for self-hosting LLMs A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.

[Code Quality] Byte Buddy is a code generation and manipulation library for Java

[Other] Show HN: BaaS to build agents as data, not code Agents and workflows as data instead of code.<p>Julep is a backend-as-a-service to build agents and workflows. Main features:<p>1. Experimentation Velocity:<p>With most agent frameworks, agents are code that need to be deployed. To iterate on the prompts or update the agent, you need to make changes to the code and deploy it to your server. This makes agents hard to iterate on quickly. But with agents and tasks declared as data, all that happens in the background is make an api call to update or make a new entry in the database. This increases the experimentation velocity.<p>2. Scalability and long-running background tasks:<p>Scaling is a hard software engineering problem and the solution is to define large scale systems to be distributed, stateful and scalable. Agents as data is a very helpful paradigm because you have to solve for this problem only once at the orchestrator level. Julep can handle 100s of thousands of executions paralely.<p>3. Updating an agent &#x2F; User Personalization:<p>Tools such as create agent, update agent etc. can update the agent recursively. Let’s assume an agent is chatting with a user and mentions that they only like to communicate in a professional tone. The agent can call a tool to &#x27;update the agent&#x27; and modify&#x2F;update the instructions to include that the user only likes to communicate in a professional tone.<p>This was the reason to create a backend when the market was flooded with agent frameworks. In Julep, you can declare a workflow in YAML, and it can automatically scale Millions of users.

[Other] Open SWE: An open-source asynchronous coding agent <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=TaYVvXbOs8c" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=TaYVvXbOs8c</a><p><a href="https:&#x2F;&#x2F;github.com&#x2F;langchain-ai&#x2F;open-swe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;langchain-ai&#x2F;open-swe</a>

[Other] Docker for Developers: Essential Commands in One Cheatsheet

[Other] Show HN: Synchrotron, a real-time DSP engine in pure Python Yes, Python.<p>I can already hear the screams from the rafters telling me how terrible of a choice Python is - but in my case, I valued modularity, extensibility, <i>hackability</i> over raw performance. (It was also a challenge to myself to see how far I can get without referencing existing implementations)<p>Synchrotron processes nodes: simple Python classes with typed I&#x2F;O and a render() method for processing. It can be as concise as 5 lines:<p><pre><code> class IncrementNode(Node): input: StreamInput output: StreamOutput def render(self, ctx): self.out.write(self.a.read(ctx) + 1) </code></pre> Nodes can then be spawned and linked programmatically or in the graphical editor. Synchrotron handles the rest at runtime. Besides the web UI, you can also interact with the engine via Python, REST, DSL, or standalone TUI.<p>Currently you can build synths, FX chains, MIDI instruments, arpeggiators, controllers, or just mess about with sound :&gt;<p>Editor: <a href="https:&#x2F;&#x2F;synchrotron.thatother.dev&#x2F;" rel="nofollow">https:&#x2F;&#x2F;synchrotron.thatother.dev&#x2F;</a> Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;ThatOtherAndrew&#x2F;Synchrotron" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ThatOtherAndrew&#x2F;Synchrotron</a><p>It&#x27;s still experimental (and my first ever shipped project), but I&#x27;d love feedback from people who tinker with audio&#x2F;DSP&#x2F;live coding. Docs are terrible currently, but that&#x27;s my next big goal!

[API/SDK] The official Python library for the OpenAI API

[Other] Backstage is an open framework for building developer portals

[API/SDK] An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

[CLI Tool] Lightweight coding agent that runs in your terminal

[Other] Show HN: I built a service to run Claude Code in the Cloud