🛠️ All DevTools

[Other] Split SaaS revenue with partners, sell without headaches Smooth payments for SaaS 🤝 Split revenue with partners anywhere. 🌍 Get paid in 80+ currencies, 100+ countries & stablecoins. 🤖 AI assistant that knows your business data. 💳 Sell with subscriptions & one-time payments without Tax headaches.

[Other] 10x your vibe-coding workflow writing visual annotations Visual annotation tool for AI coding agents like Claude Code, Cursor, GitHub Copilot, and Windsurf. Drop feedbacks on your localhost website and let AI implement all changes automatically via the companion MCP. Free chrome extension for designers / developers.

[DevOps] The AI Copilot for Linux & DevOps Otium is the AI DevOps engineer for everyone. Type a task in natural language and Otium generates a safe plan, executes it on your server, explains results, and logs every step - making Linux administration faster, safer, and more accessible.

[Other] Enterprise github repository management & security Professional GitHub repository monitoring, security scanning, and compliance management. Real-time vulnerability detection, dependency tracking, and automated reporting for enterprise teams.

[Other] Scheduled PostgresSQL backups and PostgreSQL monitoring tool Postgresus is a free, open source and self-hosted tool to backup and monitor PostgreSQL. Make backups with different storages and notifications about progress. Postgresus can be installed viash script, Docker or Docker Compose file

[Other] Welcome to the first official Launch of Glyph Welcome to the official launch of Glyph! Glyph is a powerful tool for the professional cloud engineer or architect; allowing clear and complete visualization and navigation of your cloud resources from a highly responsive and secure platform.

[Testing] AI-powered QA that helps you release faster with confidence. Qadence is a platform-enabled QA-as-a-Service that blends AI-driven test automation with managed expertise. Unlike tools that require setup or services that rely on manual testers, Qadence delivers continuous, adaptive coverage out-of-the-box.

[Other] Gonzo: A Go-based TUI for log analysis (OpenTelemetry/OTLP support)

[Other] Google to require developer verification to install and sideload Android apps

[Other] Show HN: Stagewise – frontend coding agent for real codebases Hey HN, we&#x27;re Glenn and Julian, and we&#x27;re building stagewise (<a href="https:&#x2F;&#x2F;stagewise.io">https:&#x2F;&#x2F;stagewise.io</a>), a frontend coding agent that inside your app’s dev mode and that makes changes in your local codebase.<p>We’re compatible with any framework and any component library. Think of it like a v0 of Lovable that works locally and with any existing codebase.<p>You can spawn the agent into locally running web apps in dev mode with `npx stagewise` from the project root. The agent lets you then click on HTML Elements in your app, enter prompts like &#x27;increase the height here&#x27; and will implement the changes in your source code.<p>Before stagewise, we were building a vertical SaaS for logistics from scratch and loved using prototyping tools like v0 or lovable to get to the first version. But when switching from v0&#x2F; lovable to Cursor for local development, we felt like the frontend magic was gone. So, we decided to build stagewise to bring that same magic to local development.<p>The first version of stagewise just forwarded a prompt with browser context to existing IDEs and agents (Cursor, Cline, ..) and went viral on X after we open sourced it. However, the APIs of existing coding agents were very limiting, so we figured that building our own agent would unlock the full potential of stagewise.<p>Since our last Show HN (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44798553">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44798553</a>), we launched a few very important features and changes: You now have a proprietary chat history with the agent, an undo button to revert changes, and we increased the amount of free credits AND reduced the pricing by 50%. We made a video about all these changes, showing you how stagewise works: <a href="https:&#x2F;&#x2F;x.com&#x2F;goetzejulian&#x2F;status&#x2F;1959835222712955140&#x2F;video&#x2F;1" rel="nofollow">https:&#x2F;&#x2F;x.com&#x2F;goetzejulian&#x2F;status&#x2F;1959835222712955140&#x2F;video&#x2F;...</a>.<p>So far, we&#x27;ve seen great adoption from non-technical users who wanted to continue building their lovable prototype locally. We personally use the agent almost daily to make changes to our landing page and to build the UI of new features on our console (<a href="https:&#x2F;&#x2F;console.stagewise.io">https:&#x2F;&#x2F;console.stagewise.io</a>).<p>If you have an app running in dev mode, simply `cd` into the app directory and run `npx stagewise` - the agent should appear, ready to play with.<p>We&#x27;re very excited to hear your feedback!

[Other] Show HN: SecretMemoryLocker – File Encryption Without Static Passwords I built SecretMemoryLocker (<a href="https:&#x2F;&#x2F;secretmemorylocker.com" rel="nofollow">https:&#x2F;&#x2F;secretmemorylocker.com</a>), a file encryption tool that generates keys dynamically from your answers to personal questions instead of using a static master password. This makes offline brute-force attacks much more difficult. Think of it as a password manager that meets mnemonic seed recovery, but without storing any sensitive keys on disk.<p>Why? I kept losing master passwords and wanted a solution that wasn&#x27;t tied to a single point of failure. I also wanted to create a &quot;digital legacy&quot; that my family could access only under specific conditions. The core principle is knowledge-based encryption: the key only exists in memory when you provide the correct answers.<p>Status: * MVP is ready for Windows (.exe). * Linux and macOS support is planned. * UI is available in English, Spanish, and Ukrainian.<p>Key Features:<p>* No Static Secrets: No master password or seed phrase is ever stored. The key is reconstructed on the fly.<p>* Knowledge-Based Key Generation: The final encryption key is derived from a combination of your personal answers and file metadata.<p>* Offline Brute-Force Resistance: Uses MirageLoop, a decoy system that activates when incorrect answers are entered. Instead of decrypting real data, it generates an endless sequence of AI-created questions from a secure local database, creating an illusion of progress while keeping your real data untouched.<p>* Offline AI Generation Mode: Optional offline Q&amp;A generator (prototype).<p>How It Works (Simplified):<p>1) Files are packed into an AES-256 encrypted ZIP archive.<p>2) A JSON key file stores the questions in an encrypted chain. Each subsequent question is encrypted with a key derived from the previous correct answer and the file&#x27;s hash. This forces you to answer them sequentially.<p>3) The final encryption key for the ZIP file is derived by combining the hashes of all your correct answers. The key derivation formula looks like this:<p><pre><code> K_final = SHA256(H(answer1+file_hash) + H(answer2+file_hash) + ...) </code></pre> (Note: We are aware that a fast hash like SHA256 is not ideal for a KDF. We plan to migrate to Argon2 in a future release to further strengthen resistance against brute-force attacks.)<p>To encrypt, you provide a file. This creates two outputs: your_file.txt → your_file_SMLkey.json + your_file_SecretML.zip<p>To decrypt, you need both files and the correct answers.<p>Install &amp; Quick Start: Download the EXE from GitHub Releases (no dependencies needed):<p><a href="https:&#x2F;&#x2F;github.com&#x2F;SecretML&#x2F;SecretMemoryLocker&#x2F;releases" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;SecretML&#x2F;SecretMemoryLocker&#x2F;releases</a><p>Encrypt:<p><pre><code> SecretMemoryLocker.exe --encrypt &quot;C:\docs\important.pdf&quot; </code></pre> Decrypt:<p><pre><code> SecretMemoryLocker.exe --decrypt &quot;C:\docs\important_SMLkey.json&quot; </code></pre> I would love to get your feedback on the concept, the user experience, and any security assumptions I&#x27;ve made. Thanks!

[Database] Show HN: Base, an SQLite database editor for macOS I recently released v3 of Base, my SQLite editor for macOS.<p>The goal of this app is to provide a comfortable native GUI for SQLite, without it turning into a massive IDE-style app.<p>The coolest features are<p>- That it can handle full altering of tables, which is quite finicky to do manually with SQLite.<p>- It has a more detailed display of column constraints than most editors. Each constraint is shown as an icon if active, with full details available on clicking the icon.<p>This update also adds support for attaching databases, which is a bit fiddly with macOS sandboxing.<p>I&#x27;d love to hear any feedback or answer any questions.

[Other] Show HN: Async – Claude Code and Linear and GitHub PRs in One Opinionated Tool Hi, I’m Mikkel and I’m building Async, an open-sourced developer tool that combines AI coding with task management and code review.<p>What Async does:<p><pre><code> - Automatically researches coding tasks, asks clarifying questions, then executes code changes in the cloud - Breaks work into reviewable subtasks with stack diffs for easier code review - Handles the full workflow from issue to merged PR without leaving the app </code></pre> Demo here: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;98k42b8GF4s?si=Azf3FIWAbpsXxk3_" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;98k42b8GF4s?si=Azf3FIWAbpsXxk3_</a><p>I’ve been working as a developer for over a decade now. I’ve tried all sorts of AI tools out there including Cline, Cursor, Claude Code, Kiro and more. All are pretty amazing for bootstrapping new projects. But most of my work is iterating on existing codebases where I can&#x27;t break things, and that&#x27;s where the magic breaks down. None of these tools work well on mature codebases.<p>The problems I kept running into:<p><pre><code> - I&#x27;m lazy. My Claude Code workflow became: throw a vague prompt like &quot;turn issues into tasks in Github webhook,&quot; let it run something wrong, then iterate until I realize I could&#x27;ve just coded it myself. Claude Code&#x27;s docs say to plan first, but it&#x27;s not enforced and I can&#x27;t force myself to do it. - Context switching hell. I started using Claude Code asynchronously - give it edit permissions, let it run, alt-tab to work on something else, then come back later to review. But when I return, I need to reconcile what the task was about, context switch back, and iterate. The mental overhead kills any productivity gains. - Tracking sucks. I use Apple Notes with bullet points to track tasks, but it&#x27;s messy. Just like many other developers, I hate PM tools but need some way to stay organized without the bloat. - Review bottleneck. I&#x27;ve never shipped Claude Code output without fixes, at minimum stylistic changes (why does it always add comments even when I tell it not to?). The review&#x2F;test cycle caps me at maybe 3 concurrent tasks. </code></pre> So I built Async:<p><pre><code> - Forces upfront planning, always asks clarifying questions and requires confirmation before executing - Simple task tracking that imports Github issues automatically (other integration coming soon!) - Executes in the cloud, breaks work into subtasks, creates commits, opens PRs - Built-in code review with stacked diffs - comment and iterate without leaving the app - Works on desktop and mobile </code></pre> It works by using a lightweight research agent to scope out tasks and come up with requirements and clarifying questions as needed (e.g., &quot;fix the truncation issue&quot; - &quot;Would you like a tooltip on hover?&quot;). After you confirm requirements, it executes the task by breaking it down into subtasks and then working commit by commit. It uses a mix of Gemini and Claude Code internally and runs all changes in the background in the cloud.<p>You&#x27;ve probably seen tools that do pieces of this, but I think it makes sense as one integrated workflow.<p>This isn&#x27;t for vibe coders. I&#x27;m building a tool that I can use in my day-to-day work. Async is for experienced developers who know their codebases and products deeply. The goal is to make Async the last tool developers need to build something great. Still early and I&#x27;m iterating quickly. Would love to know what you think.<p>P.S. My cofounder loves light mode, I only use dark mode. I won the argument so our tool only supports dark mode. Thumbs up if you agree with me.

[Other] List of projects that provide terminal user interfaces

[Other] ⚡ Dynamically generated stats for your github readmes

[Other] Show HN: Diggit.dev – Git history for architecture archaeologists Hello friends,<p>Today I&#x27;m sharing a little tool to help you explore GitHub repositories:<p>• <a href="https:&#x2F;&#x2F;diggit.dev" rel="nofollow">https:&#x2F;&#x2F;diggit.dev</a><p>This project was admittedly a big dumb excuse to play with Elm and Claude Code. I published my design notes and all the chat transcripts here:<p>• <a href="https:&#x2F;&#x2F;taylor.town&#x2F;diggit-000" rel="nofollow">https:&#x2F;&#x2F;taylor.town&#x2F;diggit-000</a><p>Please add bug reports and feature requests to the repo:<p>• <a href="https:&#x2F;&#x2F;github.com&#x2F;surprisetalk&#x2F;diggit" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;surprisetalk&#x2F;diggit</a><p>Enjoy!

[Other] Make any site multiplayer in a few lines. Serverless WebRTC matchmaking

[Other] About Containers and VMs

[Monitoring/Observability] Dora metrics & engineering performance dashboard Track your team's engineering performance with DORA metrics, pull request analytics, and deployment insights. Get visibility into velocity, bottlenecks, and delivery quality for GitHub and Bitbucket teams.

[Monitoring/Observability] AI Remote Server Monitoring Watchwolf is an AI-powered Remote Server Management app designed to simplify server monitoring, troubleshooting, and automation.