Show HN: I built a chill place online to work on your ideas https://ift.tt/jzBVpec

Show HN: I built a chill place online to work on your ideas I used to watch hundreds of hours of lofi beats on youtube while I was coding, but I got really sick of all the ads. I decided to build a better alternative - It's a configurable space for you to hang out online while you work, with a ton of relaxing music and backgrounds. Its got useful tools built in like a timer to keep track of how long you've been locked in, and a notepad for todos or scribbling down ideas while you work. Honestly this is the first tool I've built that I personally use every day, so I'm hoping some of you out there can get some use out of it too! https://lofizone.com May 25, 2025 at 04:08AM

Show HN: DeepShot – NBA game predictor with 71% accuracy using ML and stats https://ift.tt/Kd9qaHT

Show HN: DeepShot – NBA game predictor with 71% accuracy using ML and stats Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://ift.tt/BDI8yfP And if you like it, here’s my Buy Me a Coffee: buymeacoffee.com/saccofrancesco Would love any feedback — especially from folks who’ve built sports models or worked on real-time stat tools. Also open to ideas on where to take this next (player-level modeling? betting advice dashboard?). Thanks! https://ift.tt/BDI8yfP May 25, 2025 at 02:30AM

Show HN: 1min Workouts for People Who Sit All Day https://ift.tt/whJv9A7

Show HN: 1min Workouts for People Who Sit All Day I am a software developer and in the last few months after recently becoming a father I was barely finding time for a proper workout. Recently I was reading about new research on Snack Exercises and how beneficial mini workouts of less than 2mins every so often, during the day are to our body. So, I decided to build an iOS App for me and others to help with this. The app generates a list of exercises that I need to tick to complete daily or loose my streak. The algorithm takes into account muscle groups and balancing the exercises to hit most main muscles. I also stayed going through all exercises and adding a couple of alternative exercises in case I don't feel like the recommended exercise. Since I'm not a trainer I commissioned professional exercise posture video guides and animations by an exercise expert which I attached to each exercise. I uploaded the app on the app store for free and no ads. If this is something that interests you, I want to hear how you balance a long day on your desk vs exercise. https://shortreps.com May 25, 2025 at 02:11AM

Show HN: Can AI Help Designers Ideate Better? We Spent 5 Wks Finding Out https://ift.tt/QiFt6s2

Show HN: Can AI Help Designers Ideate Better? We Spent 5 Wks Finding Out We set out to answer a simple but deep question: Can AI actually practically help product designers improve during the discovery and ideation phase of the design process? So we spent 5 weeks running an experiment. We mapped every tool we use for discovery: Mobbin, Dribbble, Pinterest, Twitter, Behance We broke down typical design thinking and brainstorming workflows We reviewed every prototyping or idea-capturing tool we’ve used Then we tried building lightweight AI workflows with various LLM tools and frameworks Result: Yes. Used well, AI can significantly improve design thinking — especially for junior/mid-level designers — by offering faster idea generation, design critiques, and creative merges. Out of that research, we built Moonchild: A discovery-stage design ideation tool that: Generates thoughtful UI concepts from minimal prompts Allows asking design questions and getting structured critique Merges styles, flows, and interaction patterns from multiple directions Outputs great Figma-ready screens and UX flows, fast Try it (private beta): https://moonchild.ai Use code 'hackernews' for early access. Would love feedback — especially from product designers, PMs, and UX folks doing early-stage work. May 25, 2025 at 12:36AM

Show HN: Advanced Chunking in JavaScript/TypeScript with Chonkie https://ift.tt/fJ6pF7j

Show HN: Advanced Chunking in JavaScript/TypeScript with Chonkie Hi HN, We’re Shreyash and Bhavnick. We built Chonkie, an open-source library for advanced chunking and embedding of text and code. It was previously Python-only, but we just released a TypeScript version: https://ift.tt/0x6eZ4K Many AI projects in JS/TS (like those using Vercel's AI SDK or Mastra) rely on basic text splitters. But better chunking = better retrieval = better performance. That’s what Chonkie is built for. Current native chunkers (in TS): - Code Chunker – handles Python, TypeScript, etc. - Recursive Chunker – rule-based, hierarchical splitting - Token Chunker – split by token count (fully customizable) - Sentence Chunker – split on sentence boundaries. Delimiters are customizable, so it works for multiple languages. All chunkers support custom tokenizers, chunk overlap, delimiters, and more. Coming soon in native TS (already available via the API client): - Semantic Chunker – splits texts wherever it detects a shift in meaning. - SDPM Chunker – merges semantically similar disjoint chunks - Late Chunker – generates context-aware embeddings for each chunk - Slumber Chunker – LLM-refined recursive chunks. Significantly reduces token usage (and thus cost) while maximizing chunk quality. - Embeddings Refinery - Embed chunks with any embedding model - Overlap Refinery – Create overlaps between consecutive chunks for better context preservation. Chonkie is free, open-source, and MIT licensed. GitHub: https://ift.tt/0x6eZ4K We’d love your feedback, ideas, or contributions. Thanks! May 24, 2025 at 01:33AM

Show HN: DoubleMemory – more efficient local-first read-it-later app https://ift.tt/z7yNM8F

Show HN: DoubleMemory – more efficient local-first read-it-later app DoubleMemory started as an experiment to see if I can somehow automatically save all double cmd + c, as I often do instinctively, so I don't need extensions to save links and text into an app, and avoiding flooding the capture history as regular clipboard managers does. My motivation was not to create a read-it-later app, yet it evolved into this unique yet cohesive form of a read-it-later + bookmarking organizer + clipboard manager + card based note-taking app over the last 6 months. It also launches from the menu bar with a shortcut and navigates with keyboard shortcuts. My favorite part is instead of rendering a list of article titles, everything is rendered as pretty preview cards in a translucent Pinterest-like mood board. It also has a nifty iOS app, that will allow you to swipe with your thumbs between articles just like on iOS Safari... Now that Pocket is closing, this is after Instapaper going back to indie and Omnivore and UpNext and numerous others closing over the years. All of these are cloud-hosted services, which got me reflecting: maybe this local-first architecture would be well positioned to build in this space. Here is my not-so-scientific comparison: ## Domain $10 vs $1M = 100,000x difference. ## Server running cost No servers other than what's running by iCloud vs $1M per year = 1mX difference ## Platforms Apple only (mac + iphone + ipad) vs Multi platforms (windows, linux, android also supported) = 20X maintenance cost difference ## Capturing No browser extensions required v.s. maintain all extensions for various browsers and extension stores = 5x difference ## Architecture App receives the link, Apple generates the rich preview cards for thousands of different types of links, app caches these preview cards. vs. Someone write some custom code for each link type or with Open Graph, one designer created one generic card that works for all links. = 100x cost difference. I know, Apple is coming for clipboards with more restrictions, which is basically a shared global state on Mac systems, DoubleMemory does also support other ways to capture: drag-n-drop to app/menubar icon/app icon, right click->Services menu, or Share sheet. We will add more auto-importers. Also vibe coded some importers for Pocket, Omnivore and ReadWise here: https://ift.tt/1dRAGHk Everything in the app is free with no limits. Capturing is really step 0. You giving us a chance to save your content, doesn't mean you are getting any values out of it (ain't that the typical story of read-it-later apps? save-it and never-read-it). the eventual goal is to easily retrieve these content, and eventually consuming them. I hope to eventually launch paid features that aligns with these value generating workflows. App Store link: https://ift.tt/5Lc0rxt Let me know what you think... https://ift.tt/gSkM8BZ May 24, 2025 at 12:25AM

Show HN: hcker.news – an ergonomic, timeline-based Hacker News front page https://ift.tt/WJAdpPl

Show HN: hcker.news – an ergonomic, timeline-based Hacker News front page Hi folks, I've built an alternative Hacker News front page. It is inspired by and meant to be a replacement for hckrnews.com. I built this because HN is woefully underfeatured, but most sites that try to improve it seem to assume that the visual design is the problem. hcker.news tries to maintain HN's familiarity while adding useful enhancements. There are three primary views: - Timeline View: Browse top stories by votes or comments grouped by day, week, or month (e.g., top 20 per day, top 100 per week). - Aggregate View: See top stories by votes or comments over custom time ranges. - Front Page View: The original HN front page, untouched. Feed Filtering: - Custom Keyword Filters: Include/exclude keywords (e.g., include "Rust," exclude "DOGE") or set a minimum score threshold. - No HN Algorithm: Timeline and Aggregate Views show stories usually downranked by the HN algo (e.g., flagged posts or those with too many comments). UI: - Unread Flags: Quickly spot new stories or ones you haven't seen. - Two Layouts: Classic HN style or a compact story view inspired by hckrnews.com. - Multi-column & High-density Modes: Fit more content on screen. - Themes: Light, Dark, and Manila. I'd love your feedback and suggestions. Cheers! https://hcker.news May 24, 2025 at 12:14AM