Show HN: Magic List – Super Simple Todo List https://ift.tt/SiysHD2

Show HN: Magic List – Super Simple Todo List - After trying out many TODO lists wanted something that was super simple to use and share with family and friends - Runs entirely on the browser. No servers involved other than for downloading HTML/CSS/JavaScript - Sharing adds the contents of the list as URL query parameter which helps avoid need for a server. But limits size of lists that can be shared to around 2KB. - Comments, Feedback, Feature Requests Welcome! https://ift.tt/dTwezIf September 7, 2024 at 11:24PM

Show HN: Museum Music – generate period-appropriate playlists from artwork https://ift.tt/SZRC3By

Show HN: Museum Music – generate period-appropriate playlists from artwork This is Museum Music, an app to help experience art with era-appropriate music - photograph an art piece, and it will create a unique Spotify playlist that complements its era and style. We built this from our own experiences visiting museums and thoughts of enhancing the experience with music. It's built with GPT Vision and the Spotify API. Although the initial focus was on art-inspired music, it works surprisingly well on other, day-to-day photos too! https://ift.tt/9YM7TCE September 7, 2024 at 01:52AM

Show HN: Draw from your webcam with pinch ui https://ift.tt/WhFfG7X

Show HN: Draw from your webcam with pinch ui try it out! (on your computer, though phone teeeechnically works) Uses webcam ("pinch ui") to draw! Originally used as a tool to help kids learn to write, but who knows what else? (maybe a better draw during zoom meetings? ...) this is very early stage (there may be some bugs/glitches), so please let me know of them, and let me know what you think! https://ift.tt/axbwXeP September 7, 2024 at 02:57AM

Show HN: Using SQL's Turing Completeness to Build Tetris https://ift.tt/u9J6wTU

Show HN: Using SQL's Turing Completeness to Build Tetris https://ift.tt/78oAf4V September 4, 2024 at 05:58PM

Show HN: Nomadic – Minimize RAG Hallucinations with 1 Hyperparameter Experiment https://ift.tt/4YLIO7j

Show HN: Nomadic – Minimize RAG Hallucinations with 1 Hyperparameter Experiment Hey HN! Mustafa, Lizzie, and Varun here from NomadicML ( https://nomadicml.com ). We’re excited to show you Nomadic ( https://ift.tt/egNrHiV ): a platform focused on parameter search to continuously optimize AI systems. Here’s a simple demo notebook where you get the best-performing, statistically significant configurations for your RAG — and improve hallucination metrics by 4X in just 5 minutes — with a single Nomadic experiment: https://ift.tt/WunHs3y Our lightweight library is now live on PyPI (`pip install nomadic`). Try one of the README examples :) Input your model, define an evaluation metric, specify the dataset, and choose which parameters to test. Nomadic emerged from our frustration with existing HPO (hyperparameter optimization) solutions. We heard over and over that for the sake of deploying fast, folks resort to setting HPs through a single, expensive grid search or better yet, intuition-based “vibes”. From fine-tuning to inference, small tweaks to HPs can have a huge impact on performance. We wanted a tool to make that “drunken wander” systematic, quick, and interpretable. So we started building Nomadic - our goal is to create the best parameter search platform out there for your ML systems to keep your hyperparameters, prompts, and all aspects of your AI system production-grade. We started aggregating top parameter search techniques from popular tools and research (Bayesian Optimizations, cost-frugal flavors). Among us: Built Lyft’s driver earnings platform, automated Snowflake’s just-in-time compute resource allocation, became a finalist for the INFORMS Wagner Prize (top prize in industrial optimization), and developed a fintech fraud screening system for half a million consumers. You might say we love optimization. If you’re building AI agents / applications across LLM safety, fintech, support, or especially compound AI systems (multiple components > monolithic models), and want to deeply understand your ML system’s best levers to boost performance as it scales - get in touch. Nomadic is being actively developed. Up next: Supporting text-to-SQL pipelines (TAG) and a Workspace UI (preview it at https://ift.tt/wT8Vt5Y ). We’re eager to hear honest feedback, likes, dislikes, feature requests, you name it. If you’re also a optimization junkie, we’d love for you to join our community here https://ift.tt/rfVAz63 September 5, 2024 at 11:44PM

Show HN: Feature Flags Backed by Git https://ift.tt/uVJGicP

Show HN: Feature Flags Backed by Git Hey all, I'm the founder of Flipt, an open-source ( https://ift.tt/Xm8fAJQ ) feature flag tool that I (and others) have been working on for the past few years. About a year or two ago we added support for serving flag state from various non-relational declarative stores like Git, OCI, Object Store, etc. Many of our users came to love the git-backed storage, as it allows them to keep their feature flags close to their code in there organization's repos. But they had one (rather large) ask, and that was the ability to use the UI to manage flag state changes and still use Git as the backend. So today we're rolling out our hosted solution that does exactly that (and more soon). I would love any feedback, questions, etc, or if anyone would give it a spin! Happy to extend the 14-day trial as well for anyone interested in providing product feedback. Thanks!! https://www.flipt.io/ September 6, 2024 at 01:45AM

Show HN: DevMuse – App to bond over music and code https://ift.tt/GN93x2h

Show HN: DevMuse – App to bond over music and code I've found there's a disconnect devs can feel when they are remote only, and one of the ways people have connected since the beginning of humanity has been through music. So I thought it would be interesting to build off these concepts and build a tool that brings a sense of connection to devs across the world. I don't have it fully working just yet. Still have some kinks to work out. What do you think? https://ift.tt/fiZr0cb September 6, 2024 at 01:39AM