Show HN: I Collected Every Emoticon I Could Find – All Mood and Generator https://ift.tt/8wfQ3gz

Show HN: I Collected Every Emoticon I Could Find – All Mood and Generator https://ift.tt/N8dwGIn September 17, 2025 at 01:14AM

Show HN: Quizquestions.org – A free library for quiz questions https://ift.tt/kmshgAL

Show HN: Quizquestions.org – A free library for quiz questions Hey HN! I'm Salim, a content marketer, and I’m working on a website called [quizquestions.org]( https://ift.tt/Tv7scDN ). It's my project for building the biggest library of quiz questions. This is not a quiz website per se, but a library for people who make quizzes. You see, I make quizzes occasionally. There are many quiz makers, but not many resources for quizzes. And most of the resources are just blogs. So I've wanted to create a more structured website just for this. Here’s what the site offers at the moment: - A quiz card: Instead of browsing them, you can get quiz questions in a quiz format - Quiz categories: https://ift.tt/b8CTgBM - AI question generator: https://ift.tt/oOwujqD - A blog page for guides: https://ift.tt/TRDvXoc - Saving questions: To use them later for creating a quiz - Sending questions: To send your own questions - Statistics about categories: https://ift.tt/iPYsATp This is my first website, so any feedback is welcome! https://ift.tt/YVxhCqE September 16, 2025 at 11:53PM

Show HN: AI Code Detector – detect AI-generated code with 95% accuracy https://ift.tt/76wahlk

Show HN: AI Code Detector – detect AI-generated code with 95% accuracy Hey HN, I’m Henry, cofounder and CTO at Span ( https://span.app/ ). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all. Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how to drive proficiency, improve ROI, and allocate resources relating to AI tools will become at least as important as parallel processes on the talent side. Getting true visibility into AI-generated code is incredibly difficult. And yet it’s the number one thing customers ask us for. So we built a new approach from the ground up. Our AI Code Detector is powered by span-detect-1, a state-of-the-art model trained on millions of AI- and human-written code samples. It detects AI-generated code with 95% accuracy, and ties it to specific lines shipped into production. Within the Span platform, it’ll give teams a clear view into AI’s real impact on velocity, quality, and ROI. It does have some limitations. Most notably, it only works for TypeScript and Python code. We are adding support for more languages: Java, Ruby, and C# are next. Its accuracy is around 95% today, and we’re working on improving that, too. If you’d like to take it for a spin, you can run a code snippet here ( https://ift.tt/XquWoF0 ) and get results in about five seconds. We also have a more narrative-driven microsite ( https://ift.tt/CAP3iyS ) that my marketing team says I have to share. Would love your thoughts, both on the tool itself and your own experiences. I’ll be hanging out in the comments to answer questions, too. https://ift.tt/XquWoF0 September 16, 2025 at 11:48PM

Show HN: Datadef.io – Canvas for data lineage and metadata management https://ift.tt/pLvIg6T

Show HN: Datadef.io – Canvas for data lineage and metadata management Hi HN, I’ve been working on https://datadef.io , a tool to help data team (engineer, architect, project manager) make sense of their data universe. The problem: - Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast). Datadef.io aims to fix that by providing: - Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata management: define table/column-level details, ownership, and KPIs. - AI-generated documentation that stays in sync with your models. - Export/share features so asset managers, analysts, and other teams don’t get lost in spreadsheets or PDFs. It’s still early, and I’d love feedback from the HN community. In particular: What’s missing for you in lineage/metadata/documentation tools? How would you want to integrate a tool like this into your workflow (dbt, Databricks, Power BI, etc.)? I’d really appreciate your thoughts, feature requests, and criticism. Thanks! https://datadef.io/ September 14, 2025 at 11:59PM

Show HN: Allzonefiles.io – download 307M registered domain names https://ift.tt/jL56V0N

Show HN: Allzonefiles.io – download 307M registered domain names - 307M registered domain names across 1570 domain zones total (.com, .net, .io, .ai, .sh, etc) - 78M registered domain names across 312 ccTLD domain zones (.uk, .de, .io, .ai, .sh, etc) - daily lists of newly registered domain names - daily lists of expired domain names - download all domain lists as one huge .zip file (1.2 Gb size) https://allzonefiles.io September 16, 2025 at 12:12AM

Show HN: Worried about your pet? Health assessments with instant answers https://ift.tt/HlYxBaK

Show HN: Worried about your pet? Health assessments with instant answers https://petcheckai.com September 15, 2025 at 01:36AM

Show HN: DriftDB – An experimental append-only database with time-travel queries https://ift.tt/sYr3QEM

Show HN: DriftDB – An experimental append-only database with time-travel queries https://ift.tt/uRBQNV3 September 15, 2025 at 01:12AM

Show HN: Update: Open-source private home security camera(end-to-end encryption) https://ift.tt/4lQ95sW

Show HN: Update: Open-source private home security camera(end-to-end encryption) Several months ago, I posted in Show HN ( https://ift.tt/rcuH574 ) about this project (previously named Privastead, now changed to Secluso). It's a privacy-preserving home security camera that uses OpenMLS for end-to-end encryption between the camera and the mobile app. The post received a good amount of attention and there were many good comments. Since then, my project cofounder and I have made major improvements to the project. The project previously would act as a hub for an IP camera, which was otherwise closed source. But now, our camera software can also run directly on a Raspberry Pi (even one as weak as a Raspberry Pi Zero 2W), resulting in a security camera with a fully open source software stack. In addition, our Raspberry Pi-based camera can perform AI to detect people/pets/vehicles and send notifications. Moreover, our released camera binary can be verified using reproducible builds and our app now runs on iOS as well as Android. You can use this project to turn your Raspberry Pi into a fully functional and (more important) private security camera. Please check it out, use it, and provide us with feedback! In addition, we built a prototype of a standalone home security camera using this open source project and a Raspberry Pi. Please check it out here ( https://secluso.com/ ). It's not meant to replace the open source project, but to explore whether a plug-and-play camera could make it easier for people who are interested but don't have time to set up our project on a Raspberry Pi. We're curious if this kind of device would be useful to the community. If you'd like updates on our progress on that front, you can join our mailing list on the site. Finally, we'd love to hear your feedback and ideas on how we can improve the project. And we always welcome contributions to our open source project. Our site: https://secluso.com https://ift.tt/vCAunZk September 15, 2025 at 01:14AM

Show HN: From selling AI to QA teams to building a smooth test-management app https://ift.tt/KORXQ89

Show HN: From selling AI to QA teams to building a smooth test-management app Hey HN, Bootstrapped founder here. I've got a bit of a story for you. We started desplega.ai to build a sophisticated AI platform that could automate E2E testing. We spent the last few months talking to dozens of QA leaders, and trying to learn what are their actual challenges. We've got one consistent feedback from large teams: their daily reality is a living hell of slow, clunky tools. We're talking about teams at major companies still managing tests on spreadsheets. Or they're stuck in a Jira instance so customized and slow you can “make a full pot of coffee” while a page loads (and that’s why they acquired arc! t3.gg said it first). On top of that, they're paying 2k/mo+!? for these tools that feel like they were designed in ‘05. Soon, it became obvious that our AI tool was way too advanced for them, and why it was much easier for younger startups to start using us. But we didn't want to give up on them just yet so... Because I grew up when the internet was still free, and I actually miss that a lot, we decided to create a free test management tool. Our vision is still AI, but we learned AI is not the silver bullet large teams are wishing for. (We wrote something about it at https://ift.tt/vL2kyWa ). Our hypothesis right now is that we can be that team building the right tools for each QA team, leveraging AI. We would love to hear your thoughts on (a) Should we make the project open-source? Any key features? (b) Would you ever trust an entity to do your QA first pass? Cheers, https://ift.tt/9qREcUB September 15, 2025 at 12:12AM

Show HN: council - ai groupchat of ctos (no more asking ai to roleplay) https://ift.tt/rtvTkP4

Show HN: council - ai groupchat of ctos (no more asking ai to roleplay) i made a council of advisors to help me code. as a self taught dev, ive been heavily reliant on ai for the past two years. found myself often prompting claude to take on different personalities, so i built a web app. it's great for the step before telling cursor what to do and reviewing prs once theyre ready. PLEASE DON"T NUKE MY APY KEY. ty https://ift.tt/QoGI47E September 14, 2025 at 02:08AM

Show HN: I built an open source drag and drop editor for Genkit AI flows https://ift.tt/dvhl8zO

Show HN: I built an open source drag and drop editor for Genkit AI flows Hi, I have been building small AI Agents for quite some time now using various frameworks and one thing that always bugged me was that iterating on small things like prompts, flows, tools etc always took a code change + deployment of the app. While the prompt part can be solved with Langfuse I haven't found a good way to keep the flow management remote (and open source). Lately I have been working with Genkit ( https://ift.tt/yTvqepN ) and love how modular it is. So I thought why not build a UI builder on top of that that can handle simple flows, prompts and basic tracing. And here we are with a first early version: https://flowshapr.ai Repo: https://ift.tt/6F7Gpxd This first release can - Manage and execute simple flows remotely - Works with GoogleAI, Anthropic or OpenAi - Integrate with remote MCP tools - API Endpoint to execute flows remotely - Flows and flow urls are compatible with the genkit client sdk Upcoming - Support for Ollama - Support for various vector stores - More complex multi agent flows - Session management Any feedback and suggestions are welcome! September 14, 2025 at 12:24AM

Show HN: A store that generates products from anything you type in search https://ift.tt/smKpYrh

Show HN: A store that generates products from anything you type in search https://anycrap.shop/ September 13, 2025 at 05:32PM

Show HN: I got tired of Base64, so I made a numeric-only alternative https://ift.tt/81v2SdQ

Show HN: I got tired of Base64, so I made a numeric-only alternative I created numbase is an alternative to Base64 that encodes data into a single large number instead of ASCII characters. It's useful if you want to store or transmit data in numeric form and easily apply compression algorithms like Huffman. GitHub: https://ift.tt/hHSdOr1 September 12, 2025 at 10:42PM

Show HN: 47jobs – A Fiverr/Upwork for AI Agents https://ift.tt/92XRkIt

Show HN: 47jobs – A Fiverr/Upwork for AI Agents Hi HN, I’ve been working on something I’d love to share: 47jobs ( https://47jobs.com ) – a marketplace where you can hire AI agents to do tasks instead of human freelancers. Why? I kept noticing that many tasks on Upwork/Fiverr—coding, content generation, data analysis, automation—can now be handled by AI in minutes, not hours. But there wasn’t a platform built around hiring AI directly. So I built 47jobs: 100% AI agents doing the work (no humans in the loop). Jobs get delivered 10x faster, at transparent prices. You can “hire” an agent for coding, automation, research, etc. I’d love your thoughts: Does a pure AI-agent marketplace make sense? What types of jobs would you want AI agents to handle first? Any UX or trust issues you’d expect with this model? This is an early version, and I’m here to learn from your feedback. Thanks! https://47jobs.xyz September 13, 2025 at 01:29AM

Show HN: Lumro – AI agents for customer support, sales, and more https://ift.tt/Rlsx2kn

Show HN: Lumro – AI agents for customer support, sales, and more Hey HN, We just launched Lumro, a platform that lets you create AI agents that actually do things, not just chat. With Lumro you can: Handle customer support instantly, 24/7 Capture leads and qualify them Book demos or route tickets automatically The idea is to take repetitive work off human teams so they can focus on strategy and relationships. We launched yesterday and so far: 200+ people checked it out 15 signed up Our agent booked 1 demo Our agent captured 2 leads It’s early days, but we’re excited about the traction. Would love your feedback especially on what you’d want to see in an AI agent for your business. https://www.lumro.co/ September 12, 2025 at 09:46PM

Show HN: Kafkatop, top-like CLI for Kafka https://ift.tt/QPJbTVg

Show HN: Kafkatop, top-like CLI for Kafka Hey HN, for those of you tired of running kafka-consumer-groups.sh and similar tools, here's a small real-time monitoring CLI tool for Apache Kafka, that displays consumer lag and event rates in a clean, top-like interface. You can quickly assess which consumers are lagging and when they will catch up. I've made this to quickly assess the health of remote on-premises clusters which most of the time lack proper monitoring. The tool can be found here: https://ift.tt/cX356g4 I'd be very interested to hear your feedback or any features you think would add value to this tool! https://ift.tt/cX356g4 September 11, 2025 at 11:33PM

Show HN: Real-time texture compression in Three.js https://ift.tt/z3rIot5

Show HN: Real-time texture compression in Three.js With the latest three.js update (r180) the use of the Spark GPU codecs is now straightforward and integration into existing gltf loaders requires just one line of code. This blog post outlining the few steps involved, goes over some of the surprises I encountered, and takes a close look at performance. The spark.js GitHub repository now includes three.js examples that are trivial to run, just: ``` npm install npm run dev ``` https://ift.tt/R9YbhXM September 11, 2025 at 11:50PM

Show HN: Haystack – Review pull requests like you wrote them yourself https://ift.tt/4kgI8sb

Show HN: Haystack – Review pull requests like you wrote them yourself Hi HN! We’re Akshay and Jake. We put together a tool called Haystack to make pull requests straightforward to read. What Haystack does: -- Builds a clear narrative. Changes in Haystack aren’t just arranged as unordered diffs. Instead, they unfold in a logical order, each paired with an explanation in plain, precise language -- Focuses attention where it counts. Routine plumbing and refactors are put into skimmable sections so you can spend your time on design and correctness -- Provides full cross-file context. Every new or changed function/variable is traced across the codebase, showing how it’s used beyond the immediate diff Here’s a quick demo: https://youtu.be/w5Lq5wBUS-I If you’d like to give it a spin, head over to haystackeditor.com/review! We set up some demo PRs that you should be able to understand and review even if you’ve never seen the repos before! We used to work at big companies, where reviewing non-trivial pull requests felt like reading a book with its pages out of order. We would jump and scroll between files, trying to piece together the author’s intent before we could even start reviewing. And, as authors, we would spend time to restructure our own commits just to make them readable. AI has made this even trickier. Today it’s not uncommon for a pull request to contain code the author doesn’t fully understand themselves! So, we built Haystack to help reviewers spend less time untangling code and more time giving meaningful feedback. We would love to hear about whether it gets the job done for you! How we got here: Haystack began as (yet another) VS Code fork where we experimented with visualizing code changes on a canvas. At first, it was a neat way to show how pieces of code worked together. But customers started laying out their entire codebase just to make sense of it. That’s when we realized the deeper problem: understanding a codebase is hard, and engineers need better ways to quickly understand unfamiliar code. As we kept building, another insight emerged: with AI woven into workflows, engineers don’t always need to master every corner of a codebase to ship features. But in code review, deep and continuous context still matters, especially to separate what’s important to review from plumbing and follow-on changes. So we pivoted. We took what we’d learned and worked closely with engineers to refine the idea. We started with simple code analysis (using language servers, tree-sitter, etc.) to show how changes relate. Then we added AI to explain and organize those changes and to trace how data moves through a pull request. Finally, we fused the two by empowering AI agents to use static analyses. Step by step, that became the Haystack we’re showing today. We’d love to hear your thoughts, feedback, or suggestions! https://ift.tt/cRG1udz September 10, 2025 at 11:51PM

Show HN: WorldView – Compare how different countries report the same news https://ift.tt/2EGTkX1

Show HN: WorldView – Compare how different countries report the same news https://worldview.up.railway.app/ September 10, 2025 at 11:47PM

Show HN: Real time visual saliency detection https://ift.tt/3wzaM2k

Show HN: Real time visual saliency detection I've just made public a library to perform real time visual saliency detection on videos (but static images are also supported). This started a couple months ago when, while working on another project, I ended up side-tracking and overkilling as usual. I'm pretty happy with the result and I think it could prove to be a useful piece of software. It should work on both Linux and macOS, but I'm yet to test Linux cause I only have a mac at hand. Windows may be doable through WSL. GitHub: https://ift.tt/tdPl4IJ Showcase: https://big-nacho.github.io/dosage-docs/showcase.html https://ift.tt/tdPl4IJ September 10, 2025 at 01:36AM