Show HN: Ask AI Paul Graham (Open Sourced) https://ift.tt/mtvUpPY

Show HN: Ask AI Paul Graham (Open Sourced) https://ift.tt/geduCIf March 8, 2025 at 12:10AM

Show HN: Open-source, native audio turn detection model https://ift.tt/qz1uQ7o

Show HN: Open-source, native audio turn detection model https://ift.tt/fuGJrPj March 6, 2025 at 11:50PM

Show HN: DataBridge: Rule-Based Metadata Extraction, PII Redaction, and More https://ift.tt/Xkabhi8

Show HN: DataBridge: Rule-Based Metadata Extraction, PII Redaction, and More https://ift.tt/Y6aU8eB March 6, 2025 at 08:12PM

Show HN: Story Jam, a music composition tool for Storytellers https://ift.tt/30mn9GY

Show HN: Story Jam, a music composition tool for Storytellers https://ift.tt/rgSDBoK Hello! My name is Cortland Mahoney. I'm a music researcher, software engineer, and producer. I made Story Jam. This doc is intended to inform you of not just the product, but the centuries of work that have led up to its implementation. Are you tired of the barriers in traditional music composition? Story Jam is here to break them down. Designed for anyone with creative ideas — from poets to film directors — our tool offers a new way to create and edit chord progressions, powered by cutting-edge music theory. *Who Story Jam is for: Storytellers* Story Jam makes music composition accessible and meaningful to anybody, with or without musical training. It is designed for those who crave musical control but struggle with traditional composition methods. This includes film directors, slam poets, and self-taught musicians. Story Jam is not music production software. Do not expect fancy sounds or synthesizers. It's purely a composition tool, designed to spark your creative process. *Try it out!* The demo is free on the homepage, no login required! This is an MVP, so it has an "introductory" feature set. Feature requests welcome; help me build the product you want. *The chord progression suggestion logic* This service is built on a novel new music theory I have developed called Monic Theory. Monic Theory is a rigorous proof for music. Not "Western music": music. Monic Theory describes the tonal space of any conventional music on earth (except noise music. For that just use `Math.random()`). It describes the static and transient function of chords, instantaneously and differentially over time. This model enables empirical measurement of chords and the relationship between chords. (hint: It is nothing you have seen in Xenharmonic Alliance. This is a new approach I have been developing over the past 10 years.) Therefore, Monic Theory enables us to describe (or "predict" if you will) a chord progression to invoke a certain feeling. *Music Composition* Three people who helped set up the environment for Monic Theory are composers Paul Hindemith and Harry Partch , and music theorist Heinrich Schenker. These folks independently contributed new ideas to music composition and analysis. All of these people lived without access to rapid computation. This is critical for the Partch case, as he computed many tables of frequencies by hand to support his compositional technique. Partch recognized the human-math-music relation in "Genesis of a Music." He includes in this text some samples of his hand-computed tables of frequency values of overtones and (importantly) undertones which support the basis is technique. Partch's techniques were so far-fetched that he had to construct new instruments to perform his scores. Similarly, I had to build a digital synthesizer to render the output of Monic Theory. (See: https://ift.tt/DUEb56H ). *About me* I was a working composer and violinist from 2007 until 2017, and I have been a software engineer for the past 7.5 years. I was a volunteer organizer for Livecode.NYC, an NYC livecode community; and am the volunteer creator of Data Dancers, Atlanta's livecode community. I am passionate about algorithmic art and have provided about a dozen workshops over four years on the topic. https://ift.tt/PZM7gmi thank you for reading. May the flow of Spices be with you :) naltroc March 5, 2025 at 11:16PM

Show HN: Bayleaf – Building a low-profile wireless split keyboard https://ift.tt/hvAUOyZ

Show HN: Bayleaf – Building a low-profile wireless split keyboard Hey HN, I built a wireless, split, ultra-low profile keyboard from scratch called Bayleaf. As a beginner I learned all things electronics, PCB-building, designing for manufacturing, and many other hardware-related skills to put this together. This case study dives into the build process and of course the final result, hope you enjoy! https://ift.tt/JyI6MpR March 4, 2025 at 08:30PM

Show HN: Time travel debugging AI for more reliable vibe coding https://ift.tt/WEGjla2

Show HN: Time travel debugging AI for more reliable vibe coding Hi HN, I'm the CEO at https://replay.io . We've been building a time travel debugger for web apps for several years now (previous HN post: https://ift.tt/zZK1Er9 ) and are combining our tech with AI to automate the debugging process. AIs are really good at writing code but really bad at debugging -- it's amazing to use Claude to prompt an app into existence, and pretty frustrating when that app doesn't work right and Claude is all thumbs fixing the problem. The basic reason for this is a lack of context. People can use devtools to understand what's going on in the app, but AIs struggle here. With a recording of the app its behavior becomes a giant database for querying using RAG. We've been giving Claude tools to explore and understand what happens in a Replay recording, from basic stuff like seeing console messages to more advanced analysis of React, control dependencies, and dataflow. For now this is behind a chat API ( https://ift.tt/OIAU7BY ). We recently launched Nut ( https://nut.new ) as an open source project which uses this tech for building apps through prompting (vibe coding), similar to e.g. https://bolt.new and https://v0.dev . We want Nut to fix bugs effectively (cracking nuts, so to speak) and are working to make it a reliable tool for building complete production grade apps. It's been pretty neat to see Nut fixing bugs that totally stump the AI otherwise. Each of the problems below has a short video but you can also load the associated project and try it yourself. - Exception thrown from a catch block unmounts the entire app: https://ift.tt/jT8lHzL - A settings button doesn't work because its modal component isn't always created: https://ift.tt/MCcieYN - An icon is really tiny due to sizing constraints imposed by other elements: https://ift.tt/Wj9iOgu - Loading doesn't finish due to a problem initializing responsive UI state: https://ift.tt/Zw5HCnI - Infinite rendering loop caused by a missing useCallback: https://ift.tt/nkhxHaA Nut is completely free. You get some free uses or can add an API key, and we're also offering unlimited free access for folks who can give us feedback we'll use to improve Nut. Email me at hi@replay.io if you're interested. For now Nut is best suited for building frontends but we'll be rolling out more full stack features in the next few weeks. I'd love to know what you think! https://nut.new March 5, 2025 at 12:23AM

Show HN: FlakeUI https://ift.tt/x2ZVTzM

Show HN: FlakeUI https://ift.tt/43LrKov March 3, 2025 at 10:59AM