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Tuesday, December 17, 2024
Show HN: I made a multiplayer crossword game https://ift.tt/fHvr8s9
Show HN: I made a multiplayer crossword game Hey HN, I’ve been working on this multiplayer crossword for a while now. There’s still so much more on my todo list for it, but I think it’s time to launch and get some feedback with what I have. Every hour, a new crossword (13×13 or 15×15) is generated at https://ift.tt/w3gRHUL If you prefer smaller/faster, every ten minutes, a new mini crossword (7×7 or 11×11) is generated at https://ift.tt/GmHKxo0 You’re playing each crossword at the same time as everyone else, racing to complete it first. You can’t see what you’ve got right, until you correctly complete the entire grid. But you get some fun feedback on what other players are doing: a cell turns green if one other player has correctly solved it, orange if two other players have, and red if three or more other players have entered the correct letter in that cell. Chat is emoji-only for the first half of the game (i.e. 30 minutes for the front-page, 5 minutes for the mini). After that, it unlocks and you can chat freely. If you’re not done when the next crossword is generated, you can just stay on the current page for as long as you like and keep working to solve it. I didn’t manage to get user accounts done before my arbitrarily-imposed launch date, so everyone is anonymous for now. I definitely want to build accounts, streaks, trophies, etc. The other big thing I’m excited to build is a “team mode”. You should be able to play on a team, where you can chat freely with your team-mates, and the cell colors indicate what the other team has (collaboratively) got correct. I think that would be a lot of fun. Thanks for reading, checking it out, and for any feedback. Feel free to ask me anything, of course. https://ift.tt/aVn3N7w December 17, 2024 at 12:35AM
Show HN: NCompass Technologies – yet another AI Inference API, but hear us out https://ift.tt/dhvFyUH
Show HN: NCompass Technologies – yet another AI Inference API, but hear us out Hello HackerNews! I’m excited to share what we’ve been working on at nCompass Technologies: an AI inference platform that gives you a scalable and reliable API to access any open-source AI model — with no rate limits. We don't have rate limits as optimizations we made to our AI model serving software enable us to support a high number of concurrent requests without degrading quality of service for you as a user. If you’re thinking, well aren’t there a bunch of these already? So were we when we started nCompass. When using other APIs, we found that they weren’t reliable enough to be able to use open source models in production environments. To resolve this, we're building an AI inference engine that enable you, as an end user, to reliably use open source models in production. Underlying this API, we’re building optimizations at the hosting, scheduling and kernel levels with the single goal of minimizing the number of GPUs required to maximize the number of concurrent requests you can serve, without degrading quality of service. We’re still building a lot of our optimizations, but we’ve released what we have so far via our API. Compared to vLLM, we currently keep time-to-first-token (TTFT) 2-4x lower than vLLM at the equivalent concurrent request rate. You can check out a demo of our API here: https://ift.tt/CJv6SVG As a result of the optimizations we’ve rolled out so far, we’re releasing a few unique features on our API: 1. Rate-Limits: we don’t have any Most other API’s out there have strict rate limits and can be rather unreliable. We don’t want API’s for open source models to remain as a solution for prototypes only. We want people to use these APIs like they do OpenAI’s or Anthropic’s and actually make production grade products on top of open source models. 2. Underserved models: we have them There are a ton of models out there, but not all of them are readily available for people to use if they don’t have access to GPUs. We envision our API becoming a system where anyone can launch any custom model of their choice with minimal cold starts and run the model as a simple API call. Our cold starts for any 8B or 70B model are only 40s and we’ll keep improving this. Towards this goal, we already have models like `ai4bharat/hercule-hi` hosted on our API to support non-english language use cases and models like `Qwen/QwQ-32B-Preview` to support reasoning based use cases. You can find the other models that we host here: https://ift.tt/yRJF2Cv. We’d love for you to try out our API by following the steps here: https://ift.tt/6eD0FVJ . We provide $100 of free credit on sign up to run models, and like we said, go crazy with your requests, we’d love to see if you can break our system :) We’re still actively building out features and optimizations and your input can help shape the future of nCompass. If you have thoughts on our platform or want us to host a specific model, let us know at hello@ncompass.tech. Happy Hacking! https://ift.tt/REGAHID December 16, 2024 at 05:37PM
Monday, December 16, 2024
Show HN: GitHub Stars Semantic Search - Find Your Starred Projects https://ift.tt/7JH6sdz
Show HN: GitHub Stars Semantic Search - Find Your Starred Projects https://ift.tt/IvknyAK December 16, 2024 at 09:06AM
Show HN: Dbine – Auxiliary tools related to databases https://ift.tt/SojlUI5
Show HN: Dbine – Auxiliary tools related to databases https://ift.tt/BhAtpdD December 15, 2024 at 11:02PM
Show HN: SmartHome – An Adventure Game https://ift.tt/ONzrBij
Show HN: SmartHome – An Adventure Game SmartHome is a free, browser-based game written in vanilla JavaScript and no libraries. I don't want to spoil anything about the gameplay, but if you like text adventures, point-and-click adventure games, puzzle games, escape room games, art games, incremental games, cozy games, and/or RPGs, then this might be your speed. If you find it too hard and don't mind some mild spoilers, then check out the hints page: https://smarthome.steviep.xyz/help Enjoy! https://smarthome.steviep.xyz December 15, 2024 at 10:35PM
Sunday, December 15, 2024
Show HN: 31Memorize–Free vocab builder with FSRS-5 spaced repetition https://ift.tt/ZwNlnoh
Show HN: 31Memorize–Free vocab builder with FSRS-5 spaced repetition Mangoosh alternative, but cheaper and designed to maximize GRE prep efficiency through targeted learning. Free during beta. Your feedback is much appreciated to help polish the product. https://ift.tt/OB4Sj3Q December 15, 2024 at 07:47AM
Show HN: AI Powered Daily Budgeting https://ift.tt/Um1ICR0
Show HN: AI Powered Daily Budgeting https://ift.tt/EY30ZNz December 15, 2024 at 06:34AM
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Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes https://ift.tt/H4txQBC
Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes I'm building ReadMyMRI to solve a problem I kept runnin...
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Show HN: An AI logo generator that can also generate SVG logos Hey everyone, I've spent the past 2 weeks building an AI logo generator, ...
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Breaking #FoxNews Alert : Number of dead rises after devastating tornadoes, Kentucky governor announces — R Karthickeyan (@RKarthickeyan1)...
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Show HN: Snap Scope – Visualize Lens Focal Length Distribution from EXIF Data https://ift.tt/yrqHZtDShow HN: Snap Scope – Visualize Lens Focal Length Distribution from EXIF Data Hey HN, I built this tool because I wanted to understand which...