Show HN: PilotCite – Get your brand cited by ChatGPT, Gemini, and more https://bit.ly/4gM8WXY

Show HN: PilotCite – Get your brand cited by ChatGPT, Gemini, and more https://bit.ly/4yvz3Zk July 19, 2026 at 08:17AM

Show HN: OfflineTTS — Free browser-based TTS & STT that runs locally https://bit.ly/4hlMg0M

Show HN: OfflineTTS — Free browser-based TTS & STT that runs locally https://bit.ly/4wura5n July 19, 2026 at 09:21AM

Show HN: Flightwake – a flight recorder for AI coding agents, not a navigator https://bit.ly/4pqQ7M2

Show HN: Flightwake – a flight recorder for AI coding agents, not a navigator https://bit.ly/44EMOHH July 19, 2026 at 02:14AM

Show HN: Ilya Sutskever's AI reading list into a learning RPG – using kimi k3 https://bit.ly/4wdUdtN

Show HN: Ilya Sutskever's AI reading list into a learning RPG – using kimi k3 I wanted to take kimi k3 for a spin. It turned my simple one sentence prompt to this. Repo here. https://bit.ly/3RJilVV Well, I'm mindblown. Very humbling for me as a software engineer. Took couple hours for it to build this completely autonomously. And it was all from its mobile app. It couldn't render this though from within the app - it does have a feature to preview any website and publish it on kimi's domain - but it didn't work for this. I had to put it on github pages. It doesn't store anything btw - all progress is tracked in your browser storage. https://bit.ly/4ppUE1f July 18, 2026 at 11:54PM

Show HN: Find someone in the dark – light them or light yourself? (Three.js) https://bit.ly/4fdBKpC

Show HN: Find someone in the dark – light them or light yourself? (Three.js) https://bit.ly/4gKPLxG July 18, 2026 at 07:32AM

Show HN: NS6 – Find your perfect domain https://bit.ly/4fo79pK

Show HN: NS6 – Find your perfect domain https://bit.ly/4hk1FPd July 18, 2026 at 04:19AM

Show HN: Qwen3.6-35B-A3B on a 16 GB M1 Pro with SSD-streamed MoE https://bit.ly/4wItLrQ

Show HN: Qwen3.6-35B-A3B on a 16 GB M1 Pro with SSD-streamed MoE https://bit.ly/4b2shQR July 18, 2026 at 12:20AM

Show HN: Deadwire-HTTPD A triple-threaded x86-64 assembly static server https://bit.ly/4wIpMeP

Show HN: Deadwire-HTTPD A triple-threaded x86-64 assembly static server A high-performance static HTTP/1.0 server driven by a bespoke triple-thread architecture (Supervisor, Acceptor, Engine) delivering nanosecond-level processing using raw x86-64 assembly and pure Linux syscalls. https://bit.ly/4ysVQ8b July 17, 2026 at 09:51AM

Show HN: Scribe, a CLI that builds AI agent memory from your repos and sessions https://bit.ly/4pArJrt

Show HN: Scribe, a CLI that builds AI agent memory from your repos and sessions https://bit.ly/4yqzEvl July 17, 2026 at 05:44AM

Show HN: Selenium Boot – Spring Boot's Conventions, Applied to Selenium https://bit.ly/3T11kqJ

Show HN: Selenium Boot – Spring Boot's Conventions, Applied to Selenium https://bit.ly/4ysCgsE July 17, 2026 at 03:39AM

Show HN: Moltshit.com – An Imageboard for AI Agents https://bit.ly/4wNzb4W

Show HN: Moltshit.com – An Imageboard for AI Agents Moltshit.com is a place to waste some GPU cycles doing dumb stuff with LLMs. Moltbook and other clones all require weird human registration stuff and is easier for a agent to pick up and start shit posting on. https://bit.ly/4pv4OxU July 16, 2026 at 11:54PM

Show HN: Autoportrait- Painting Timelapses in JavaScript https://bit.ly/4feiQR3

Show HN: Autoportrait- Painting Timelapses in JavaScript https://bit.ly/4feiREB July 15, 2026 at 11:35PM

Show HN: Asciitopia – a library of animated ASCII art patterns https://bit.ly/4w4PESc

Show HN: Asciitopia – a library of animated ASCII art patterns I wanted an ASCII animation for one of my projects but couldn't find any collection or library for anything like that, so I cooked this up over a weekend with some ideas, inspiration and Claude. Feel free to add your own patterns! https://bit.ly/4boIPme July 15, 2026 at 12:46AM

Show HN: Mechacraft.io – Browser Vehicle Builder https://bit.ly/3RyVpZu

Show HN: Mechacraft.io – Browser Vehicle Builder https://bit.ly/4ppEkh9 July 14, 2026 at 11:10PM

Show HN: Free and open source browser extension for web automation https://bit.ly/4hc5G8h

Show HN: Free and open source browser extension for web automation I built a chrome extension, that you can use to automate web tasks within your browser. No need of any separate backend. The extension is standalone and you can use it for free. It also support browser built-in models (like gemini-nano), which you can use for basic tasks like summarizing. Please have a look at Waffy.io. Also drop your honest review. Contributions are always welcome... Thanks https://bit.ly/4pjNOu5 July 14, 2026 at 02:19AM

Show HN: Sx 2.0 – Share AI skills with your team through a Dropbox folder https://bit.ly/4gUVTDJ

Show HN: Sx 2.0 – Share AI skills with your team through a Dropbox folder Hi all, author here. SX started as a CLI to let developers share skills across AI clients without having to rely on git for storage. This allowed sharing at the Repo/Team/Org and Personal level. However, the more we spoke to users the more we realized that non-technical users were actually using skills more and more but they had no way to share. And there was no way you were going to get your legal team to install and learn git. SX 2.0 is targeting non-technical teams by adding a native Mac, Windows and Linux app. Our vault format was reworked so it can be used directly as a claude or codex plugin. And by storing your vault in Dropbox, Google Drive, iCloud or others you can be up and sharing in under a minute. 2.0 also adds an extension system with extensions that manage Skill Evals, LLM de-duping, metics and much more https://bit.ly/4gUVTUf . It's Apache-2.0 and you can download it here https://bit.ly/4gy0TxP . https://bit.ly/4aSeg8t July 14, 2026 at 12:26AM

Show HN: ContextVault – Shared memory layer for your AI and your team https://bit.ly/4ph3IFI

Show HN: ContextVault – Shared memory layer for your AI and your team Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late last year, I realized several people on our team were solving the same problems independently because previous work was difficult to discover. I assumed this problem existed in other large organizations, so I started experimenting with a shared context store. I started with a local proof of concept and a rough MCP server. If I asked questions like "have we done this before?", the AI could search the database and find the most relevant item to review. If a conversation produced something worth remembering, I could say "save what we learned to the vault." After using that workflow for a few months, I found myself relying on it every day. I decided to make it available to others. I've never built a product before, and I thought it would be a valuable learning exercise to do. ContextVault is a a product for storing and organizing reusable context that can be shared across people, projects, and AI tools. Instead of copying the same instructions into every conversation, you can store them once and retrieve them through our MCP server. It is not limited to any one AI client. Your team can use ChatGPT, Codex, Claude, and Gemini and save/read from the vault all the same. It currently supports: - OAuth support for GitHub, Google, Microsoft, and GitLab - Structured context records with metadata - Multi-user organizations with role-based access - MCP server for all AI clients that support MCP - Organization-scoped storage keeps tenant data separated - Group visibility rules decide which memories each member can search - Authenticated MCP access ties every request back to a real user and workspace - Feedback signals can be captured now and used to improve ranking later - Supports desktop versions of AI clients, not just their CLI versions (mobile app support should also work) The backend is built with PostgreSQL, pgvector, Node.js, and TypeScript. The frontend uses Next.js, React, Tailwind CSS, and shadcn/ui (frontend is not my strong suit, please be kind). Authentication is handled with Clerk and billing with Stripe. I started building this for my own workflow, but after relying on it for several months I decided to make it available to others. We soft launched a few weeks ago, and I find it useful as a daily tool. Essentially, ContextVault offers a way to track memories and context, distribute them instantly to your team, and help reduce duplicated work. I'd be interested in feedback on a few things: - How are you managing reusable AI context today? - Are you relying on similar tools, or do you keep everything in Git or Markdown? - If you've built something similar, what did you learn that you would do differently? You can see the product here: https://bit.ly/4hgU2ca https://bit.ly/4hgU2ca July 14, 2026 at 12:22AM

Show HN: Hologram, photo management and culling built with Tauri https://bit.ly/4vmbWhb

Show HN: Hologram, photo management and culling built with Tauri Hello Hacker News photographers! Yes, this is essentially my take on photo colling and management, similar to the features that Lightroom and Darktable already have. Because I shoot in JPEG+RAW, my workflow looks like me going through my JPEG images and then eliminating the JPEGs I don't like afterwards in addition to their corresponding RAWs. At least on my old MacBook, the JPEGs were faster to load than the RAW photos (probably a combination of CR2, the file my EOS 40D, not having embedded JPEG previews and my buggy macOS version). Hologram would be my way of making this workflow easier to do, especially with keyboard shortcuts. I also never liked the star-based system on Lightroom or Darktable, so I implemented Pick and Reject instead (which matches what I would otherwise do with deleting photos to my system trash when I cull in the Finder app) Anyways, with my new R7 I found that bursts got more annoying to cull so I decided to create autocull on Hologram as well. This would analyze your photos and help you suggest which photos in a burst to keep, or which photos to keep in a shoot in general. Currently, this is not notarized or whatever, but let me know what you guys think. https://bit.ly/3QR13Gd July 13, 2026 at 12:10AM

Show HN: Codebase Posters – turn any Git repo into generative poster art https://bit.ly/4fece3C

Show HN: Codebase Posters – turn any Git repo into generative poster art npx codebase-posters inside any git repo opens a local exhibition: 18 pieces painted live from your commit history. everything renders from git log, nothing leaves your machine. https://bit.ly/4bBZG52 July 12, 2026 at 11:26PM

Show HN: Levee – a self-tuning circuit breaker and concurrency limiter for Go https://bit.ly/4yi25vA

Show HN: Levee – a self-tuning circuit breaker and concurrency limiter for Go Rate limiters and circuit breakers work wonderfully well when they’re configured for the load and available capacity. But load, capacity, and latency drift over time, and keeping those settings current requires continuous effort. So I built Levee to be a hands-off, adaptive, easy to configure traffic governor. Levee is configured with a success-rate target and timeout. It then continuously monitors the workload performance characteristics to detect downstream capacity exhaustion or failures. It can also spot a surge from growing concurrency before failures arrive. It runs in-process, uses a small, fixed amount of memory, has zero dependencies, and processes millions of requests per second. In a deterministic 10-node mesh simulation, Levee outscored carefully tuned static rate limiters/breakers deployed throughout the mesh, while recording fewer failures and no node crashes. https://bit.ly/4bozc75 July 12, 2026 at 02:22AM