🛠️ All DevTools

[API/SDK] Go library for the WhatsApp web multidevice API

[Other] A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

[Other] This is my personal template collection. Here you'll find templates, and configurations for various tools, and technologies.

[Other] A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

[DevOps] Cloud-native high-performance edge/middle/service proxy

[Other] Show HN: Halloy – the modern IRC client I hope will outlive me I started working on Halloy back in 2022, with the goal of giving something back to the community I’ve been a part of for the past two decades. I wanted to create a modern, multi-platform IRC client written in Rust.<p>Three years later, I’ve made new friends who have become core contributors, and there are now over 200 people idling in our #halloy channel on Libera.<p>My hope is that this client will outlive me and that IRC will live on.

[API/SDK] The context layer for AI agents Supercharge AI agents with rich context. Access thousands of public docs, index private documentation securely, and integrate easily via MCP servers and API. Perfect for developers, teams, and enterprises looking to make AI agents smarter and more reliable.

[Other] Build and manage your web & mobile communities with ease HubMachine is a self-hosted community platform built on Laravel with an open API. It powers web and Flutter mobile apps with Blogs, Forums, Events, Jobs, and Chat — fully modular, customizable, and designed for complete community control.

[Other] Zero-friction recipient list hygiene for outlook ClearSend is an open-source MS Outlook add-in that helps you manage email recipients with powerful automation features such as alphabetical sorting, de-duplication or external domains detection. Processing 100% on the client-side, data is never sent anywhere.

[Testing] GenAI-Native Software Testing Agent KaneAI by LambdaTest is the world's first GenAI-Native testing agent for fast-paced Quality Engineering teams. It offers AI-driven test authoring, management, and debugging, enabling users to plan, author and evolve complex test cases using natural language.

[Monitoring/Observability] Hit Based log management & real-time alerts | sumtower Centralise your logs, get real-time alerts, and collaborate with your team. Simple, transparent pricing for startups, DevOps, and small businesses.

[CLI Tool] Postman for your terminal 🦣 mozzy - Beautiful JSON-native HTTP client for your terminal. Think Postman, but for developers who live in the command line.

[Other] All developer tools in one place Explore a powerful collection of tools for developers, all in one place. Not everyone gets it. But you do.

[Other] Manage tasks smarter and move faster with WorkVib Manage tasks smarter & move faster with WorkVib.Task management platform built for modern teams. Plan sprints, manage backlogs, track performance, and chat in real time. all in one place. Reduce tool fatigue, improve productivity, and deliver projects faster.

[Other] Pick colors and check WCAG contrast instantly Clarity is a simple, accurate macOS app for designers and developers to pick colors, check WCAG contrast ratios, and build accessible palettes. Pick from your screen, adjust with pro-level sliders, and get instant AA/AAA compliance results.

[Other] SaaS for managing development teams through Git commit BCTO lets you track your dev team’s daily work bug fixes, updates, testing, and deployments all from Git commits for transparent, accurate insights. View code changes, explore developer profiles, and manage tasks, hiring, and Jira tickets in one platform.

[Code Quality] Show HN: Wispbit - Linter for AI coding agents Hey HN! Ilya and Nikita here. We&#x27;re building wispbit (<a href="https:&#x2F;&#x2F;wispbit.com" rel="nofollow">https:&#x2F;&#x2F;wispbit.com</a>) - a tool that helps keep codebase standards alive.<p>With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn&#x27;t improved. Background agents still write bad code, and your IDE still writes slop without the right context.<p>So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time.<p>You can enforce these rules during code review, and because we have this rules system, you can run a CLI locally to review using these rules. You can think of it as a portable rules file that you can bring anywhere.<p>We put a lot of work into making a system that produces good rules and avoids slop. For repository crawling, we have an agent that dispatches subagents, similar to Anthropic&#x27;s research agent. These subagents will go through and look for common patterns within modules and directories, and report back to the main agent, which synthesizes the results. We also do a historical scan on your pull request comments, determine which ones were addressed, filter out comments that wouldn&#x27;t make a good rule, and use that to create or update rules.<p>Our early users are seeing 80%+ resolution rates, meaning that 80% of comments that wispbit makes are resolved.<p>Long-term, we see ourselves being a validation layer for AI-written code. With tools like Devin and Cursor, we find ourselves having to re-prompt the same solution many times. We still don&#x27;t know the long-term implications on AI-assisted codebases, so we want to get in front of that as soon as possible.<p>We&#x27;ve opened up signups for free to HN folks at <a href="https:&#x2F;&#x2F;wispbit.com" rel="nofollow">https:&#x2F;&#x2F;wispbit.com</a>. We&#x27;re also around to chat and answer questions!

[Other] Show HN: An open source access logs analytics script to block bot attacks This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on.<p>We&#x27;ll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots.<p>*Requirements*<p>The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators:<p>1. JA5 client fingerprinting (<a href="https:&#x2F;&#x2F;tempesta-tech.com&#x2F;knowledge-base&#x2F;Traffic-Filtering-by-Fingerprints&#x2F;" rel="nofollow">https:&#x2F;&#x2F;tempesta-tech.com&#x2F;knowledge-base&#x2F;Traffic-Filtering-b...</a>). This is a HTTP and TLS layers fingerprinting, similar to JA4 (<a href="https:&#x2F;&#x2F;blog.foxio.io&#x2F;ja4%2B-network-fingerprinting" rel="nofollow">https:&#x2F;&#x2F;blog.foxio.io&#x2F;ja4%2B-network-fingerprinting</a>) and JA3 fingerprints. The last is also available in Envoy (<a href="https:&#x2F;&#x2F;www.envoyproxy.io&#x2F;docs&#x2F;envoy&#x2F;latest&#x2F;api-v3&#x2F;extensions&#x2F;filters&#x2F;listener&#x2F;tls_inspector&#x2F;v3&#x2F;tls_inspector.proto.html" rel="nofollow">https:&#x2F;&#x2F;www.envoyproxy.io&#x2F;docs&#x2F;envoy&#x2F;latest&#x2F;api-v3&#x2F;extension...</a>) or Nginx module (<a href="https:&#x2F;&#x2F;github.com&#x2F;fooinha&#x2F;nginx-ssl-ja3" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;fooinha&#x2F;nginx-ssl-ja3</a>), so check the documentation for your web server<p>2. Access logs are directly written to Clickhouse analytics database, which can cunsume large data batches and quickly run analytic queries. For other web proxies beside Tempesta FW, you typically need to build a custom pipeline to load access logs into Clickhouse. Such pipeliens aren&#x27;t so rare though.<p>3. Abbility to block web clients by IP or JA5 hashes. IP blocking is probably available in any HTTP proxy.<p>*How does it work*<p>This is a daemon, which<p>1. Learns normal traffic profiles: means and standard deviations for client requests per second, error responses, bytes per second and so on. Also it remembers client IPs and fingerprints.<p>2. If it sees a spike in z-score (<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Standard_score" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Standard_score</a>) for traffic characteristics or can be triggered manually. Next, it goes in data model search mode<p>3. For example, the first model could be top 100 JA5 HTTP hashes, which produce the most error responses per second (typical for password crackers). Or it could be top 1000 IP addresses generating the most requests per second (L7 DDoS). Next, this model is going to be verified<p>4. The daemon repeats the query, but for some time, long enough history, in the past to see if in the past we saw a hige fraction of clients in both the query results. If yes, then the model is bad and we got to previous step to try another one. If not, then we (likely) has found the representative query.<p>5. Transfer the IP addresses or JA5 hashes from the query results into the web proxy blocking configuration and reload the proxy configuration (on-the-fly).

[Other] Optimizing writes to OLAP using buffers (ClickHouse, Redpanda, MooseStack)

[Other] SmolBSD – build your own minimal BSD system