🛠️ All DevTools

[Other] Simple pulse surveys, tailored for engineering teams Simple pulse surveys that help engineering managers understand team health. Simple, focused feedback collection via Slack. Built for developers, by developers.

[Other] The ultimate A/B testing app for Webflow Make data-driven decisions for your Webflow site with Optibase. Test everything from copy to design or even entire pages and improve your conversions.

[Monitoring/Observability] The all-in-one monitoring tool for your entire website The all-in-one monitoring tool for your entire website

[Other] Your new software engineering teammate One agent for everywhere you code—included in ChatGPT Plus, Pro, Business, Edu, and Enterprise plans.

[Other] Typing practice for coding TurboType helps you master coding speed with real-world typing practice. It supports 10+ programming languages, gives instant feedback, and tracks your progress. Become a faster, more confident programmer with TurboType.

[Monitoring/Observability] Real-time log analysis terminal UI A powerful, real-time log analysis terminal UI inspired by k9s. Analyze log streams with beautiful charts, AI-powered insights, and advanced filtering.

[Other] Checkpoints for claude code Automatic version control and checkpoint management for Claude Code projects. Track changes, create instant checkpoints, and restore previous states with confidence.

[Other] Clean reading mode — one click, no distractions. Cut the clutter. Focus better. Clean blog pages with 1 click. FocusCutter helps students and productivity users read distraction-free by removing ads, popups, notification bars, and side clutter from any article or blog.

[Other] Expert LSP the official language server implementation for Elixir

[Other] Building your own CLI coding agent with Pydantic-AI

[Other] Chronicle – Idiomatic, type safe event sourcing framework for Go

[Other] Show HN: Grammit – Local-only AI grammar checker (Chrome extension) Hey HN, I wanted a grammar checker that didn’t send my writing to someone&#x27;s servers, so we built Grammit, a Chrome extension that runs grammar checks locally using an LLM. Your text never leaves your computer during checking.<p>Here’s a 2-minute overview: <a href="https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;baf501ee6cf14a919a7384128246ed67" rel="nofollow">https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;baf501ee6cf14a919a7384128246ed67</a><p>Because it uses an LLM, it catches more than spelling and grammar. For example, it can correct some wrong statements like “The first US president was Benjamin Franklin.”<p>Grammit also includes an in-page writing assistant that can rephrase or draft new text. It also uses the local LLM.<p>We used many new web features to build this, such as:<p>- Chrome’s new Prompt API to talk to the local model.<p>- Anchor Positioning API to place the UI with minimal impact on the DOM.<p>- CSS Custom Highlights API for inline error marking.<p>- The new CSS sign() function to create CSS-driven layout with discontinuities.<p>Part of the fun of being early adopters of bleeding edge tech is we’re discovering new Chrome bugs (e.g., <a href="https:&#x2F;&#x2F;issues.chromium.org&#x2F;issues&#x2F;428354426" rel="nofollow">https:&#x2F;&#x2F;issues.chromium.org&#x2F;issues&#x2F;428354426</a>, <a href="https:&#x2F;&#x2F;issues.chromium.org&#x2F;issues&#x2F;428039224" rel="nofollow">https:&#x2F;&#x2F;issues.chromium.org&#x2F;issues&#x2F;428039224</a>).<p>I’d love your feedback on:<p>- Where the UX feels rough<p>- What do you think of the corrections and suggestions<p>Happy to answer questions about the tech or the Prompt API. Thanks for trying it out!<p>Chrome Web Store extension link: <a href="https:&#x2F;&#x2F;chromewebstore.google.com&#x2F;detail&#x2F;grammit-the-ai-grammar-ch&#x2F;pkfmoknmnkbidlniedaloiijibdpjjmm" rel="nofollow">https:&#x2F;&#x2F;chromewebstore.google.com&#x2F;detail&#x2F;grammit-the-ai-gram...</a>

[Monitoring/Observability] Show HN: MCPcat – A free open-source library for MCP server monitoring Hey everyone!<p>We&#x27;ve been working with several MCP server maintainers and we noticed some difficulties getting drop-in logging and identity attribution working out of the box with existing vendors. A couple of challenges we hoped to solve were: - Baseline piping of tool calls to traditional vendors - How to tie tool calls to a “user session” - Understanding the context behind tool calls made by agents<p>So we built something. :) The MCPcat library is completely free to use, MIT licensed, and provides a one-line solution for adding logging and observability to any vendor that supports OpenTelemetry. We added custom support for Datadog and Sentry because we personally use those vendors, but we’re happy to add more if there’s interest.<p>Here’s how it works:<p><pre><code> mcpcat.track(serverObject, {...options…}) </code></pre> This initializes a series of listeners that: 1. Categorize events within the same working session 2. Publish those events directly to your third-party data provider<p>Optionally, you can redact sensitive data. The data never touches our servers (unless you opt in to additional contextual analysis, which I mention below).<p>Some teams might also want a better understanding of “what use cases are people finding with my MCP server.” For that, we provide a separate dashboard that visualizes the user journey in more detail (free for a high baseline of monthly usage and always free for open source projects).<p>We have two SDKs so far: Python SDK: &lt;<a href="https:&#x2F;&#x2F;github.com&#x2F;MCPCat&#x2F;mcpcat-python-sdk" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;MCPCat&#x2F;mcpcat-python-sdk</a>&gt; TypeScript SDK: &lt;<a href="https:&#x2F;&#x2F;github.com&#x2F;MCPCat&#x2F;mcpcat-typescript-sdk" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;MCPCat&#x2F;mcpcat-typescript-sdk</a>&gt;<p>Other SDKs are on the way!

[API/SDK] Show HN: SwiftAI – open-source library to easily build LLM features on iOS/macOS We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code.<p>SwiftAI gives you: - A single, model-agnostic API - An agent&#x2F;tool loop - Strongly-typed structured outputs - Optional chat state<p>Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That meant writing two codepaths — one for local, one for cloud — and scattering branching logic across the app. SwiftAI centralizes that decision. Your feature code stays the same whether you’re on-device or cloud.<p>Example<p><pre><code> import SwiftAI let llm: any LLM = SystemLLM.ifAvailable ?? OpenaiLLM(model: &quot;gpt-5-mini&quot;, apiKey: &quot;&lt;key&gt;&quot;) let response = try await llm.reply(to: &quot;Write a haiku about Hacker News&quot;) print(response.content) </code></pre> It&#x27;s open source — we&#x27;d love for you to try it, break it, and help shape the roadmap. Join our discord &#x2F; slack or email us at root@mit12.dev.<p>Links<p>- GitHub (source, docs): <a href="https:&#x2F;&#x2F;github.com&#x2F;mi12labs&#x2F;SwiftAI" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;mi12labs&#x2F;SwiftAI</a><p>- System Design: <a href="https:&#x2F;&#x2F;github.com&#x2F;mi12labs&#x2F;SwiftAI&#x2F;blob&#x2F;main&#x2F;Docs&#x2F;Proposals&#x2F;001-llm-api.md" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;mi12labs&#x2F;SwiftAI&#x2F;blob&#x2F;main&#x2F;Docs&#x2F;Proposals...</a><p>- Swift Package Index (compat&#x2F;builds): <a href="https:&#x2F;&#x2F;swiftpackageindex.com&#x2F;mi12labs&#x2F;SwiftAI" rel="nofollow">https:&#x2F;&#x2F;swiftpackageindex.com&#x2F;mi12labs&#x2F;SwiftAI</a><p>- Discord <a href="https:&#x2F;&#x2F;discord.com&#x2F;invite&#x2F;ckfVGE5r" rel="nofollow">https:&#x2F;&#x2F;discord.com&#x2F;invite&#x2F;ckfVGE5r</a> and slack <a href="https:&#x2F;&#x2F;mi12swiftai.slack.com&#x2F;join&#x2F;shared_invite&#x2F;zt-3c3lr6dat-jJ8BHBsdWc47o4FDu2CgHQ#&#x2F;shared-invite&#x2F;email" rel="nofollow">https:&#x2F;&#x2F;mi12swiftai.slack.com&#x2F;join&#x2F;shared_invite&#x2F;zt-3c3lr6da...</a>

[Other] Show HN: GrowChief – open-source social media outreach tool

[IDE/Editor] Show HN: AI Agent in Jupyter – Runcell I build runcell, an AI Agent in Jupyter Lab. It can understand context (data, charts, code, etc) in your jupyterlab and write code for you.<p>Runcell has built-in tools that can edit or execute cells, read&#x2F;write files, search web, etc.<p>Comparing with AI IDE like cursor, runcell focus on building context for code agent in jupyter environment, which means the agent can understand different types of information in jupyter notebook, access kernel state, edit&#x2F;execute specific cells instead of handling jupyter as static ipynb file.<p>Comparing with jupyter ai, runcell is more like an agent instead of a chatbot. It have access to lots of tools to work and take actions by its own.<p>You can use runcell with simple &quot;pip install runcell&quot; to start.<p>Any comments and suggestions are welcome.

[Other] Show HN: I built AI that turns 4 hours of financial analysis into 30 seconds I built Duebase AI to solve a problem I kept running into in fintech - analyzing UK company financial health takes forever. The process usually goes: download PDFs from Companies House → manually extract data to spreadsheets → calculate ratios → interpret trends. Takes 3-4 hours per company and requires serious financial expertise. The technical challenge: Companies House filings are messy. Inconsistent formats, complex accounting structures, missing data, and you need to understand UK accounting standards to make sense of it all. My approach:<p>Parse 15M+ UK company records from Companies House API Built ML models to extract and normalize financial data from varied filing formats Created scoring algorithms that weight liquidity, profitability, leverage, and growth trends Generate 1-5 health scores with explanations in plain English<p>What it does:<p>Instant financial analysis of any UK company (30 seconds vs 4 hours) Real-time monitoring with alerts for new filings&#x2F;director changes Risk detection that catches declining trends early No financial background needed to understand results<p>The hardest part was handling the data inconsistencies - UK companies file in different formats, use various accounting frameworks, and often have incomplete information. Had to build a lot of data cleaning and normalization logic. Currently focused on the UK market since I know the regulatory landscape well, but the approach could work for other countries with similar public filing systems. Link: <a href="https:&#x2F;&#x2F;duebase.com" rel="nofollow">https:&#x2F;&#x2F;duebase.com</a>

[API/SDK] Create an API for anything in seconds Create an API for anything in seconds. Get super fast response just paste any URL and describe the data you need in plain English. --> AI instantly creates a custom API that extracts exactly what you need. Get clean JSON data via API, n8n node, or custom app.

[Other] Theme editor & generator Free to use or live preview changes Customize shadcn/ui themes with CodeUpto’s interactive editor — Tailwind v4, live preview, and real-time code export.

[API/SDK] Next-gen location APIs for apps, agents & AI workflows A few years ago we dreamed of talking to IDEs. Now, we talk to maps. Mila is building semantic, AI-ready location APIs—so apps and agents can understand places the way people do. Affordable, developer-first, launching this week.