Show HN: RefForge – A WIP modern, lightweight reading list/reference manager https://ift.tt/IOfBG0A

Show HN: RefForge – A WIP modern, lightweight reading list/reference manager Hi HN! I built RefForge, a lightweight, desktop-first reading list and reference manager (WIP). It's a local-first app built with Next.js + Tauri and stores data in a small SQLite DB. I’m sharing it to get feedback on the UX, feature priorities, and architecture before I invest in more advanced features. This is an experimental project where I am trying to build something from scratch using AI and see how far I can build it without writing a single line of code manually. What does it offer? Manage your reading list and references in a simple, project-based UI Local SQLite storage (no cloud; your data stays on your machine) Add / edit / delete references, tag them, rate priority, group by project Built as a Tauri desktop app with a Next.js/React frontend Why did I build it? Existing reference managers can be heavy or opinionated. I wanted a small, fast, local-first tool focused on reading lists and quick citation exports that I can extend with features I need (PDF attachments, DOI lookup, BibTeX export, lightweight sync). Current features Add / edit / delete references Tagging and project organization Priority and status fields Small, searchable local DB (WIP: full-text search planned) Ready-to-extend codebase (TypeScript + React + Tauri + SQLite) https://ift.tt/YspnOqK August 25, 2025 at 10:09PM

Show HN: A lightweight ML model to predict music emotion - energy, valence, etc. https://ift.tt/vLyhZbR

Show HN: A lightweight ML model to predict music emotion - energy, valence, etc. Spotify has 7 features for each of their music tracks (acousticness, danceability, energy, instrumentalness, liveness, speechiness, valence) which describe the perceptual/emotional content of the song. I wanted to tag my own offline music library with these features so that I could sort my songs into playlists for different occasions (working out, driving, etc.), but unfortunately Spotify doesn't share how they calculate these features. So, I trained my own lightweight neural network to predict these features! https://ift.tt/xtRmKH5 August 25, 2025 at 02:16AM

Show HN: I Built a XSLT Blog Framework https://ift.tt/5cCOSZf

Show HN: I Built a XSLT Blog Framework A few weeks ago a friend sent me grug-brain XSLT (1) which inspired me to redo my personal blog in XSLT. Rather than just build my own blog on it, I wrote it up for others to use and I've published it on GitHub https://ift.tt/v0xqS6L (2) Since others have XSLT on the mind, now seems just as good of a time as any to share it with the world. Evidlo@ did a fine job explaining the "how" xslt works (3) The short version on how to publish using this framework is: 1. Create a new post in HTML wrapped in the XML headers and footers the framework expects. 2. Tag the post so that its unique and the framework can find it on build 3. Add the post to the posts.xml file And that's it. No build system to update menus, no RSS file to update (posts.xml is the rss file). As a reusable framework, there are likely bugs lurking in CSS, but otherwise I'm finding it perfectly usable for my needs. Finally, it'd be a shame if XSLT is removed from the HTML spec (4), I've found it quite eloquent in its simplicity. (1) https://ift.tt/6NO4Vfn (2) https://ift.tt/v0xqS6L (3) https://ift.tt/CxremK6 (4) https://ift.tt/evxj3Ly (Aside - First time caller long time listener to hn, thanks!) https://ift.tt/qH3f6AF August 24, 2025 at 11:08PM

Show HN: Configurable Open Source Audio Spectrum Analyzer https://ift.tt/0aqOkyC

Show HN: Configurable Open Source Audio Spectrum Analyzer Hi, I’ve developed an open-source app for practicing basic skills in digital signal processing and computer graphics using OpenGL. It’s written mainly in C++ for data processing and visualization, with Python used for data input and configuration. This makes it easier to run experiments or adjust settings without recompiling the code, lowering the entry barrier for users unfamiliar with C++. By default, the app captures audio from a microphone in real-time and displays its spectrum on the screen. It’s highly customizable — you can change the number of bars, colors, and the overall color theme. The app runs on both Raspberry Pi and standard Ubuntu desktops. In my Raspberry Pi setup, I use a HiFiBerry DAC+ DSP to analyze music in real-time. The signal comes via optical input (TOSLINK) from a CD player, but you can also connect a microphone for live audio visualization. I’ve written instructions and a tutorial to help you get started — feel free to check it out and give it a try! Demo video (Ubuntu): https://www.youtube.com/watch?v=Sjx05eXpgq4 Demo video (raspberry pi with hifiberry dac+dsp): https://www.youtube.com/watch?v=QA2DYmdZ_Gw Simplified spec: https://sylwekkominek.github.io/SpectrumAnalyzer/ Hope someone finds it useful or fun to play with! https://ift.tt/tKuAPUH August 25, 2025 at 01:25AM

Show HN: Komposer, AI image editor where the LLM writes the prompts https://ift.tt/NV3ZetW

Show HN: Komposer, AI image editor where the LLM writes the prompts A Flux Kontext + Mistral experiment. Upload an image, and let the AIs do the rest of the work. https://www.komposer.xyz/ August 25, 2025 at 12:36AM

Show HN: I built aibanner.co to stop spending hours on marketing banners https://ift.tt/EKwF26t

Show HN: I built aibanner.co to stop spending hours on marketing banners https://www.aibanner.co August 24, 2025 at 05:57AM

Show HN: Python library for fetching/storing/streaming crypto market data https://ift.tt/4Ja5fgz

Show HN: Python library for fetching/storing/streaming crypto market data https://ift.tt/EplTi6M August 23, 2025 at 09:51PM