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Show HN: Stickerbox, a kid-safe, AI-powered voice to sticker printer https://ift.tt/CHUQp2s

Show HN: Stickerbox, a kid-safe, AI-powered voice to sticker printer Bob and Arun here, creators of Stickerbox. If AI were built for kids, what would it look like? Asking that question led us to creativity, and more specifically, the power of kids’ imaginations. We wanted to let kids combine the power of their ideas with AI tools but we needed to make sure we did it safely and in the right way. Enter Stickerbox, a voice powered sticker printer. By combining AI image generation with thermal sticker printing, we instantly turn kids' wildest ideas into real stickers they can color, stick, and share. What surprised us most is how the “AI” disappears behind the magic of the device. The moment that consistently amazes kids is when the printer finishes and they are holding their own idea as a real sticker. A ghost on a skateboard, a dragon doing its taxes, their dog as a superhero, anything they can dream of, they can hold in their hand. Their reactions are what pushed us to keep building...
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Show HN: Linggen – A local-first memory layer for your AI (Cursor, Zed, Claude) https://ift.tt/5PklAYF

Show HN: Linggen – A local-first memory layer for your AI (Cursor, Zed, Claude) Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It calls the Linggen MCP to load memory instantly. Linggen indexes all my docs like it’s remembering them—it is awesome. One click loads the full architectural context, removing the "cold start" problem. The Tech: Local-First: Rust + LanceDB. Code and embeddings stay on your machine. No accounts required. Team Memory: Index knowledge so teammates' LLMs get context automatically. Visual Map: See file dependencies and refactor "blast radius." MCP-Native: Supports Cursor, Zed, and Claude Desktop. Linggen saves me hours. I’d love to hear how you manage complex system c...
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Show HN: I Made Loom for Mobile https://ift.tt/M2X3HpI

Show HN: I Made Loom for Mobile An app to make demo vids Of course I have a demo vid: https://www.youtube.com/watch?v=c_fq0TzlsXI This will be my last post to HN about this. I always like to try a few titles to see if any hit. https://demoscope.app December 20, 2025 at 12:08AM
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Show HN: Credible brings credibility scores directly on Hacker News https://ift.tt/xHMeAzv

Show HN: Credible brings credibility scores directly on Hacker News Hi HN, This is Aki, a technical founder having previously shipped products to 1B+ people (I launched the heart button on twitter). I built Credible because I wanted a way to know whether something I'm about to read would be worth my time. I also got tired of context-switching to verify what I read. Credible is a Chrome extension that displays instant credibility scores directly into the pages you browse, including HN itself. ** How it works ** On HN Home: You see a credibility score next to each link. On HN Comments page: You see the full analysis of the linked article. This includes the linked article's key takeaways, credibility score, bias detection, and a breakdown of claims (facts vs opinions vs dubious) without leaving the page. They also show on our mobile-friendly feed here: https://ift.tt/3mu8Xrv Chrome Web Store: https://ift.tt/NLtloqT We will have a major focus next year on shipping tools that utiliz...
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Show HN: Ai3 – An experimental agentic tiling window manager (i3 fork) https://ift.tt/2KyWBtD

Show HN: Ai3 – An experimental agentic tiling window manager (i3 fork) https://ift.tt/LXgW74A December 18, 2025 at 10:19PM
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Show HN: The feature gap "Chat with PDF" tuts and a regulated enterprise system https://ift.tt/pSfbaqO

Show HN: The feature gap "Chat with PDF" tuts and a regulated enterprise system I've spent the last few months architecting a RAG system for a regulated environment. I am not a developer by trade, but I approached this with a strict "systems engineering" and audit mindset. While most tutorials stop at "LangChain + VectorDB", I found that making this legally defensible and operationally stable required about 40+ additional components. We moved from a simple ingestion script to a "Multi-Lane Consensus Engine" (inspired by Six Sigma) because standard OCR/extraction was too hallucination-prone for our use case. We had to build extensive auditing, RBAC down to the document level, and a hybrid Graph+Vector retrieval to get acceptable accuracy The current architecture includes: Ingestion: 4 parallel extraction lanes (Vision, Layout, Text, Legal) with a Consensus Engine ("Solomon") that only indexes data confirmed by multiple sources Retrie...
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Show HN: My Personal Portfolio https://ift.tt/kJMx9sV

Show HN: My Personal Portfolio I just re-buit my personal portfolio https://omakidx.me December 18, 2025 at 12:19AM
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