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sábado, 6 de dezembro de 2025
Show HN: Radioactive Pooping Knights https://ift.tt/B19ewt3
Show HN: Radioactive Pooping Knights I've been having fun building out a really simple chess learning app for my daughter (7). It started with just "maze like" puzzles [1] and I've added a few more. This "radioactive pooping knights" idea came from an Irish primary school chess website [2]. Really simple idea, two knights moving around the board leaving poo behind... Don't be the one forced to step on it. * best played with sound on. [1]. https://ift.tt/X9A7enz [2]. https://ficheall.ie/ *highly subjective, may not be better for you to play with sound at all ;) p.s. Any "buy me a coffee" goes to my daughter. Annoyingly they only pay out once you get above $10 USD and I think it's currently sitting at 9.85 or something! https://ift.tt/GsPtU9W December 5, 2025 at 11:43PM
sexta-feira, 5 de dezembro de 2025
Show HN: Cbor.app – CBOR encoder/decoder with hex visualization https://ift.tt/bXGYI76
Show HN: Cbor.app – CBOR encoder/decoder with hex visualization Author here: I built this because I wanted to learn about CBOR and how it's build and how it encodes data. I work with it on a almost daily basis, its s binary format that is defined in the RFC8949 specification. It was my first time using AI to formalize the rules from an RFC and turn them into testable, working code. That's why I also explicitly say that this tool is not currently in use for production (I'm sure it will contain bugs!), it's just like a tinkering tool for me and at one point I hope to make this into something that people can maybe even use in their production system. For visualization, I built a hex viewer that shows how the CBOR is decoded. It's really helping me understand the format better. Right now it's just a basic version—you can encode, decode, and diff two CBOR values. There's still a lot of work to do. I'd like to add more educational content about what CBOR actually is and offer more tools. I work in the Cardano space where CBOR is used heavily, so one thing I want to add is a function that can recognize which Cardano era a transaction (or part of a transaction) comes from. There is still a ton of work to do and I have more ideas in mind, but for now that's my first version and I would like to get some feedback :) The CBOR parser for that project is already open sourced, and I also built a small test suite to validate my CBOR parser against test cases and see how I compare to different parsers. That's why I created two projects that make this app possible. They are both linked in the about page and they're called Nachos and Taco. https://cbor.app/ December 5, 2025 at 07:30AM
Show HN: Travel ESIM Comparison https://ift.tt/C3riLA5
Show HN: Travel ESIM Comparison https://esimguide.com December 5, 2025 at 06:50AM
Show HN: Who is hiring" search tool with chat / other features https://ift.tt/8LTnI3V
Show HN: Who is hiring" search tool with chat / other features Hi HN, There are several tools that help you search through the monthly "Who is Hiring" posts on Hacker News. The primary difference with this one is it includes chat, semantic search as well as a semantic map visualization (select "business" from the dropdown and expand to get a sense of how this can be used). Behind the scenes it uses LLM instructions in batch to extract, format, tag the job posts, computes UMAP after everything settles while of course making everything searchable. You can use the basic text search to quickly filter the results or alternatively use semantic search (toggle via the button in the search bar). Finally, you can chat with the job postings as well (click the Chat button). It has a basic RAG type pipeline but also includes some tools which make it possible to ask broader questions like "What are the general themes in the job postings this month?" and dig down from there. Anyway, I hope people find this useful. Any feedback is welcome (either here directly or feel free to use the contact page here https://ift.tt/oyiqVIa which dog foods the same mechanism - no contact info required). If you want to build something similar there is an API and a nice (in my opinion) CLI tool than can be used to ingest data, search or chat as well. https://ift.tt/sODLWSz December 5, 2025 at 02:10AM
Show HN: Vibe Commander https://ift.tt/cOEWsYo
Show HN: Vibe Commander https://ift.tt/0G1N5lK December 5, 2025 at 12:10AM
quinta-feira, 4 de dezembro de 2025
RAG in 3 Lines of Python https://ift.tt/X1Ksrvi
RAG in 3 Lines of Python Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG. So I built piragi. from piragi import Ragi kb = Ragi(\["./docs", "./code/\*\*/\*.py", "https://api.example.com/docs"\]) answer = kb.ask("How do I deploy this?") That's the entire setup. No API keys required - runs on Ollama + sentence-transformers locally. What it does: - All formats - PDF, Word, Excel, Markdown, code, URLs, images, audio - Auto-updates - watches sources, refreshes in background, zero query latency - Citations - every answer includes sources - Advanced retrieval - HyDE, hybrid search (BM25 + vector), cross-encoder reranking - Smart chunking - semantic, contextual, hierarchical strategies - OpenAI compatible - swap in GPT/Claude whenever you want Quick examples: # Filter by metadata answer = kb.filter(file_type="pdf").ask("What's in the contracts?") #Enable advanced retrieval kb = Ragi("./docs", config={ "retrieval": { "use_hyde": True, "use_hybrid_search": True, "use_cross_encoder": True } }) # Use OpenAI instead kb = Ragi("./docs", config={"llm": {"model": "gpt-4o-mini", "api_key": "sk-..."}}) Install: pip install piragi PyPI: https://ift.tt/5lgCIWr Would love feedback. What's missing? What would make this actually useful for your projects? https://ift.tt/5lgCIWr December 3, 2025 at 09:03PM
Show HN: From Personal Script to Public Tool – How I Built a Windows Setup Gen https://ift.tt/1pFskDl
Show HN: From Personal Script to Public Tool – How I Built a Windows Setup Gen https://ift.tt/6w1vjzm December 4, 2025 at 12:51AM
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