Microphone
If you are an aspiring founder, any VC will ask you this question: “why are you the only person who could solve this”. If you want to generate passive income with your side idea, get ready to enter a crowded market as everyone and their mother is shipping. Unless you have an active X account or you’re a TikTok sensation distribution is going to be tough. I just launched the trie.dev microphone beta to help folks find their edge. You yap into your phone about your ideas; Trie turns the rambling into hypotheses, then prioritizes them based on your experience and your realistic ability to distribute in that idea space — surfacing the problems only you can solve. From there you can generate creative and run Meta ads against your hypotheses straight from your phone, with zero setup, to see how real people respond. I built it initially for myself and friends as an “intake form” for running paid ads to help validate our side gig ideas. Happy to chat about how it works or the stack. Joining the waitlist will send you an email to join via TestFlight.
I built a one-prompt hackathon platform, free entry, sponsored prizes
Show HN: I built a one-prompt hackathon platform, free entry, sponsored prizes
Nobie
Show HN: Nobie – an Excel-compatible runtime for agents and humans
Adaptive Recall, persistent memory for AI assistants over MCP
Show HN: Adaptive Recall, persistent memory for AI assistants over MCP
Kurvengefahr
A few years ago I made a pen plotter attachment for Prusa MK4 (https://www.printables.com/model/827264-pen-plotter-attachme...) and at the time I didn't have a good way to turn artwork into G-code for it, and I put the project on ice for a while. I recently wanted to dabble in line art again and made a small browser app to make it easier. As agentic AI tools of 2026 are quite addictive, it rather quickly grew into something quite a bit more - an integrated browser CAD/CAM for pen plotters that covers everything from importing existing artwork, creating artwork from scratch, preparing for plotting and hardware integration. It includes some off-beat features like a Logo interpreter for turtle art and Graves RNN for handwriting synthesis and in addition to 3D printer pretending to be pen plotters it now also supports actual pen plotters based on EBB (AxiDraw) and GRBL firmwares through Web Serial. If you own an AxiDraw or a GRBL plotter, I'd very much appreciate it you gave it a try and give feedback. As I don't own those, I did all the testing with a hardware mock on STM32, so I am not sure how well it works attached to an actual plotter. Source code and docs are on GitHub: https://github.com/tibordp/kurvengefahr
Dev
"How 500 HN users crashed my 2GB server in 60 seconds – postmortem
English
Construction workers, electricians, couriers: ICE disguises to detain migrants
Ant
Hello HN! I'm the author of Ant, a JavaScript ecosystem built around a runtime with its own JavaScript engine. Ant also includes a package manager, the ants.land package registry, a platform for deploying and hosting applications, and Ant Desktop for building native desktop apps with web technologies, similar to Electron. The goal is for these pieces to work as one coherent platform while remaining compatible with the wider JavaScript ecosystem. It's still early, and I'd appreciate any feedback on the overall direction or what you'd like to see from an e2e alternative to the existing JavaScript stacks. P.S. I’ve shared Ant here before as a runtime; since then, it has grown into the broader ecosystem you see today.
Learn by rebuilding Redis, Git, a database from scratch
Show HN: Learn by rebuilding Redis, Git, a database from scratch
We beat Cloudflare's bot detection (open-source stealth browser)
Show HN: We beat Cloudflare's bot detection (open-source stealth browser)
We beat Gemini Embedding 2 by training only 16M params (open weights)
Show HN: We beat Gemini Embedding 2 by training only 16M params (open weights)
I built a free app for New Yorkers to save money on groceries
I built this because I see that grocery savings are achievable in NYC. People usually just go to the store they're used to going to, and it's rarely worth the effort of combing through card cashback, weekly coupons, CPG rebates. Most people leave real money on the table by not stacking them, and even more don't even know that these deals are out there.... so I built a way to automate it. You can use it for free, no login, currently NYC-only with ~690 stores. I built it so that you just search whatever you want (use commas if you want to search multiple items). Or - use the AI tool to help shop for you. If you're curious, it's powered by a trained LLama model. Honest limitations are coverage and freshness. Id love some feedback on where the data looks wrong or is stale. Question for the room - what to prioritize if you're working with messy, multi-source retail/pricing data? Is freshness or coverage the top priority if you cant get a uniform response from every source? curious on what to prioritize here.