🛠️ All DevTools

[Other] Embed chat with your data in your product Embed AI analytics chat in your product in minutes. camelAI API + iframe lets users chat with their data, get instant insights & charts. Connect any database. Start free.

[IDE/Editor] The native Mac code editor that's fast and amazing A beautiful, fast, flexible, native Mac code editor from Panic. Nova features smart autocomplete, multiple cursors, Git integration, robust build/run tasks, and an in-app extension marketplace for ultimate developer workflows.

[Other] Visual node editor for game logic and data flows Built for game developers drowning in JSON files. Design quest systems, dialogue trees, AI behaviors, or any branching logic visually. Export clean data structures that work with Unity, Unreal, Godot, or any engine.

[Other] Asciinema: Record and share your terminal sessions

[Other] Graphene OS: a security-enhanced Android build

[Other] Building MCP servers for ChatGPT and API integrations

[Database] Show HN: Zu – A minimalist key-value database engine for modern applications

[Other] How I fixed my blog's performance issues by writing a new Jekyll plugin

[IDE/Editor] Show HN: A code editor that integrates into the browser When the startup I was working for shut down, I knew it would probably be a while before my health allowed me to commit to a new role, so I decided to start working on some personal projects to keep my mind active and engaged.<p>With AI-augmented VS Code forks being all the rage at the time, I wanted to take a slightly different angle on a code editor&#x2F;viewer using the same core technology. That led me to building Tachi Code, a Monaco-based code editor that integrates directly into your browser as an extension to streamline your more ephemeral coding tasks, so you can spend less time switching between your code editor and browser.<p>The original flow that piqued my interest was viewing raw source files or API responses. Historically, I&#x27;ve used a JSON formatter extension to prettify JSON, but I wanted something more powerful, more universal, and quite frankly, something that looked better, so I built Tachi Code with the ability to detect when you&#x27;re viewing pre-formatted text and inject itself into the page, so it&#x27;s always beautifully syntax highlighted, foldable, and regex searchable. Then I added context menu integrations, so you could quickly edit snippets, compare text, or view the current page&#x27;s source in Tachi Code&#x27;s editor.<p>The browser extension works offline with the only external HTTP requests going to GitHub to retrieve JSON Schemas or additional themes. All user data stays local. The only tracking is CloudFlare&#x27;s web analytics beacon on TachiCode.dev (not present in the browser extension or in the EU).<p>TachiCode.dev is a sandbox environment that serves the latest commit of Tachi Code&#x27;s editor hosted on CloudFlare Pages.<p>The core stack is: - React 19 - Monaco Editor - Radix UI - Zustand - Shiki - WXT (full SBOM is available via the about dialog if you want to dig deeper)<p>Monaco Editor provides the code and diff editors, as well as low level systems for configuration and theming. There&#x27;s a lot of hackery involved in surfacing those systems and integrating them into the larger React app. Shiki is used to provide more complete syntax highlighting than Monaco Editor provides out of the box. The rest of the UI is primarily based on Radix UI components, typically starting from a shadcn template and then reworked to use colors provided by the theme system. Zustand is my go-to for any kind of shared&#x2F;persistent state. WXT just turns browser extension development and publishing into a breeze.<p>If you&#x27;ve got any feedback or a question about how the app was developed, I&#x27;d love to hear it!

[Other] Show HN: Product as Code – YAML-based product management for AI coding workflows I have worked with AI assistants for a while, and while I am really excited about it, there were times when I felt really frustrated. LLM would end up in a loop with no end.<p>This is when I started experimenting with creating work plans. Initially simple todo list, but it felt like &quot;product vibing&quot;, so a bit more sophisticated later on. I started seeing value in it.<p>The one day it hit me. Why not use the same GitOps principles to managing product tickets? I started playing with that and really liked the way it worked.<p>After a chat with a friend of mine, I realised that a standard or a spec would be something really useful. You could then create all sort of tooling around this.<p>I took an inspiration from the way kubernetes yaml are used, cause I find it quite neat.<p>You can view examples here: <a href="https:&#x2F;&#x2F;spec.productascode.org&#x2F;draft&#x2F;#sec-Epic-Example-YAML-" rel="nofollow">https:&#x2F;&#x2F;spec.productascode.org&#x2F;draft&#x2F;#sec-Epic-Example-YAML-</a><p>Key design decisions so far:<p>1. YAML over JSON: Human-readable, git-diff friendly, excellent tooling ecosystem 2. Hierarchical structure: Epics → Tickets → Tasks (matches development workflow) 3. Atomic tickets: Each ticket = one branch = one PR (prevents scope creep) 4. ISO 8601 timestamps&#x2F;durations: Machine-parseable time data<p>If I manage to create an epic with a bunch of tickets in backlog, then my favourite part of work is to tell Claude Code: &quot;Close the current ticket, and start another one&quot;.<p>Here is the link to the post which has links to draft spec and GitHub repository.<p>Currently working on v0.1.0 and I would love to hear your thoughts.<p><a href="https:&#x2F;&#x2F;mantcz.com&#x2F;blog&#x2F;introducing-product-as-code&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mantcz.com&#x2F;blog&#x2F;introducing-product-as-code&#x2F;</a>

[Other] Show HN: Nia – MCP server that gives more docs and repos to coding agents Hi HN, I’m Arlan, and I built Nia (<a href="https:&#x2F;&#x2F;www.trynia.ai" rel="nofollow">https:&#x2F;&#x2F;www.trynia.ai</a>), an open MCP that integrates with coding agents like Cursor, Continue, and Cline so they can retrieve external knowledge better than current approaches.<p>Coding agents generate code well but lose accuracy when the answer lives outside the repo in front of them. Developers end up pasting GitHub links, docs, and blog posts by hand and hoping the agent scrolls far enough. Long context windows help, but recent “context rot” measurements show quality still drops as prompts grow. For example, in LongMemEval, all models scored much higher on focused (short, relevant) prompts (~300 tokens) than on full (irrelevant, 113k tokens) prompts, with performance gaps persisting even in the latest models (<a href="https:&#x2F;&#x2F;research.trychroma.com&#x2F;context-rot" rel="nofollow">https:&#x2F;&#x2F;research.trychroma.com&#x2F;context-rot</a>).<p>Nia is a MCP that gives more context to any coding agent or IDE. It Indexes multiple repos and docs sites and makes this available via MCP to your coding agent so it has much more context to work with, giving you more specific and accurate answers.<p>Nia uses a hybrid code search architecture that combines graph-based structural reasoning with vector-based understanding. When a repo or documentation is ingested, Tree-sitter parses it into ASTs across 50+ languages and natural languages, and the code is chunked by function&#x2F;class boundaries into stable, content-addressable units. These chunks are stored both in a graph db to model relationships like function calls and class inheritance, and in a vector store. At query time, a lightweight agent with give_weight tool dynamically assigns weights between graph and vector search based on intent (e.g., &quot;who calls X&quot; vs &quot;how does auth work&quot;), and both paths are searched in parallel. Results are fused, enriched with full code context, and passed through multi-stage rerankers: semantic reranker, cross-encoders, LLM-based validators.<p>Early Signal: In internal evals we improved Cursor’s performance by 27 % once Nia had indexed external docs models couldn’t get from their training data or searching the web.<p>Quickstart: &lt;<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=5019k3Bi8Wo" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=5019k3Bi8Wo</a>&gt; Demo: &lt;<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=Y-cLJ4N-GDQ" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=Y-cLJ4N-GDQ</a>&gt;<p>To try it out: grab an API key at <a href="https:&#x2F;&#x2F;app.trynia.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;app.trynia.ai&#x2F;</a> and follow instructions at <a href="https:&#x2F;&#x2F;docs.trynia.ai&#x2F;integrations&#x2F;nia-mcp" rel="nofollow">https:&#x2F;&#x2F;docs.trynia.ai&#x2F;integrations&#x2F;nia-mcp</a>.<p>Try it and break it! I’d love to know which contexts your agent still misses. Corner cases, latency issues, scaling bugs. I’m here 24&#x2F;7.<p>Thanks!

[Other] Show HN: YouTubeTLDR – A lightweight, self-hosted YouTube summarizer in Rust There are many commercial YouTube summarizers, but I couldn&#x27;t find an open-source one that truly fit my needs. So, I built YouTubeTLDR: a simple, self-hostable solution that uses the Gemini API without much bloat.<p>I went with a synchronous approach + threading which was a nice break from Tokio.<p>It is Bring Your Own Key, but the key is sent to the server for each request, which is something I might revise in the future.<p>There is a demo on <a href="https:&#x2F;&#x2F;youtubetldr.onrender.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;youtubetldr.onrender.com&#x2F;</a>

[API/SDK] Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

[Code Quality] Detekt – A static code analyzer for Kotlin

[Other] Lifelike, emotionally competent voice generation Higgs Audio v2 by BosonAI is a powerful open-source audio foundation model. It excels at generating expressive, multi-speaker dialogues and long-form audio. It outperforms GPT-4o-mini-tts on emotion benchmarks and is now available for developers.

[Other] Professional online markdown conversion tools ToMarkdown provides professional online Markdown conversion services, supporting HTML to Markdown, URL to Markdown, Word to Markdown, PDF to Markdown, and more.

[Other] Prompt and run full-stack web apps and mobile apps. Build full-stack web apps and mobile apps with AI and deploy them on the click of a button

[Other] AI-Powered Resume Builder ResuMate is an AI-powered platform for building professional, ATS-friendly resumes with live editing, smart formatting, and real-time feedback.

[Other] Professional-grade cryptographic tools for All. PyCrypt by Pyzit offers a full suite of encryption, hashing, digital signature, and blockchain tools for developers, engineers, and cybersecurity professionals.

[Other] The fastest way to build internal tools Raq.com is the fastest way to build internal tools with vibe coding. Zero coding knowledge required, changes are live instantly.