The best Hacker News stories from Show from the past day

from

All Show

from the past*

day week month

with these search terms:

Create follow Go back

Latest posts:

Show HN: Petrichor – a free, open-source, offline music player for macOS

I have a large collection of music files gathered over the years, so I was sorely missing a decent offline music player that can serve as a frontend for the collection. I tried several Mac apps over the years, but since streaming music is mainstream now, there aren't good offline music players that meet my needs. So I spent the last 3 months building Petrichor! The idea is to solve my problem and learn Swift UI development along the way, while giving back to the community with this open-source project! Here's a list of features it has, with more getting added in future;<p>- Everything you'd expect from an offline music player!<p>- Map your music folders and browse your library in an organised view.<p>- Create playlists and manage the play queue interactively.<p>- Browse music using folder view when needed.<p>- Pin anything (almost!) to the sidebar for quick access to your favourite music.<p>- Navigate easily: right-click a track to go to its album, artist, year, etc.<p>- Native macOS integration with menubar and dock playback controls, plus dark mode support.<p>- Search quickly through large libraries containing thousands of songs.<p>The app is still in alpha, so things may look unpolished, but I've been testing the alpha builds for the past few weeks and fixing issues as I find them for v1 release. I welcome any feedback (and contributions!) on GitHub repo. Please give it a try and let me know what you think!

Show HN: Petrichor – a free, open-source, offline music player for macOS

I have a large collection of music files gathered over the years, so I was sorely missing a decent offline music player that can serve as a frontend for the collection. I tried several Mac apps over the years, but since streaming music is mainstream now, there aren't good offline music players that meet my needs. So I spent the last 3 months building Petrichor! The idea is to solve my problem and learn Swift UI development along the way, while giving back to the community with this open-source project! Here's a list of features it has, with more getting added in future;<p>- Everything you'd expect from an offline music player!<p>- Map your music folders and browse your library in an organised view.<p>- Create playlists and manage the play queue interactively.<p>- Browse music using folder view when needed.<p>- Pin anything (almost!) to the sidebar for quick access to your favourite music.<p>- Navigate easily: right-click a track to go to its album, artist, year, etc.<p>- Native macOS integration with menubar and dock playback controls, plus dark mode support.<p>- Search quickly through large libraries containing thousands of songs.<p>The app is still in alpha, so things may look unpolished, but I've been testing the alpha builds for the past few weeks and fixing issues as I find them for v1 release. I welcome any feedback (and contributions!) on GitHub repo. Please give it a try and let me know what you think!

Show HN: Petrichor – a free, open-source, offline music player for macOS

I have a large collection of music files gathered over the years, so I was sorely missing a decent offline music player that can serve as a frontend for the collection. I tried several Mac apps over the years, but since streaming music is mainstream now, there aren't good offline music players that meet my needs. So I spent the last 3 months building Petrichor! The idea is to solve my problem and learn Swift UI development along the way, while giving back to the community with this open-source project! Here's a list of features it has, with more getting added in future;<p>- Everything you'd expect from an offline music player!<p>- Map your music folders and browse your library in an organised view.<p>- Create playlists and manage the play queue interactively.<p>- Browse music using folder view when needed.<p>- Pin anything (almost!) to the sidebar for quick access to your favourite music.<p>- Navigate easily: right-click a track to go to its album, artist, year, etc.<p>- Native macOS integration with menubar and dock playback controls, plus dark mode support.<p>- Search quickly through large libraries containing thousands of songs.<p>The app is still in alpha, so things may look unpolished, but I've been testing the alpha builds for the past few weeks and fixing issues as I find them for v1 release. I welcome any feedback (and contributions!) on GitHub repo. Please give it a try and let me know what you think!

Show HN: MCP server for searching and downloading documents from Anna's Archive

I was looking around for an MCP server that could connect Anna's Archive to Claude Desktop, as I wanted to be able to search and download books directly through the interface.<p>I couldn't find any public implementations, so ended up building one myself.<p>What it does?<p>- It searches Anna's Archive by keywords. - It downloads books from search results. - It works directly in Claude Desktop through MCP.<p>Check out the repository's README for detailed installation and configuration instructions.<p>The code is fully open source and builds run on GitHub Actions for transparency.<p>I figured I'd share, since I couldn't be the only one wanting this functionality!

Show HN: MCP server for searching and downloading documents from Anna's Archive

I was looking around for an MCP server that could connect Anna's Archive to Claude Desktop, as I wanted to be able to search and download books directly through the interface.<p>I couldn't find any public implementations, so ended up building one myself.<p>What it does?<p>- It searches Anna's Archive by keywords. - It downloads books from search results. - It works directly in Claude Desktop through MCP.<p>Check out the repository's README for detailed installation and configuration instructions.<p>The code is fully open source and builds run on GitHub Actions for transparency.<p>I figured I'd share, since I couldn't be the only one wanting this functionality!

Show HN: MCP server for searching and downloading documents from Anna's Archive

I was looking around for an MCP server that could connect Anna's Archive to Claude Desktop, as I wanted to be able to search and download books directly through the interface.<p>I couldn't find any public implementations, so ended up building one myself.<p>What it does?<p>- It searches Anna's Archive by keywords. - It downloads books from search results. - It works directly in Claude Desktop through MCP.<p>Check out the repository's README for detailed installation and configuration instructions.<p>The code is fully open source and builds run on GitHub Actions for transparency.<p>I figured I'd share, since I couldn't be the only one wanting this functionality!

Show HN: FlopperZiro – A DIY open-source Flipper Zero clone

Show HN: FlopperZiro – A DIY open-source Flipper Zero clone

Show HN: FlopperZiro – A DIY open-source Flipper Zero clone

Show HN: I built a tool to solve window management

Hello, my name is Andrew. I'm an indie developer and I'm excited to release Smart Switcher for Windows 10/11. I'm looking for feedback on the overall project and the application itself.<p>I built this because I couldn't find a window switching/management solution that worked for me. I tried all kinds of different solutions, virtual desktop extensions, obscure GUI window managers, you name it. Overtime I realized I wanted something that prioritizes one window at a time, is keyboard driven with has minimal if no GUI elements. I figured this part out, but knew something was missing. I had my eureka moment when I realized I could combine my switching method with a prediction algorithm. This led to the creation of Smart Switcher.<p>Smart Switcher is a data driven window switcher aimed at improving the overall window switching experience. It logs data on your windows switching, then a prediction algorithm analyzes this data and uses it to predict which window you would want to switch to next. When you need to switch windows, you press the switch shortcut to switch to the next predicted window. If this isn't the window you wanted, press the override shortcut to switch to the next most likely window. You can press the override shortcut as many times as needed until you arrive at your desired window.<p>It’s a paid app with a demo and trial version. There is a introductory discount and some additional discount tiers for early adopters.<p>Any feedback is appreciated! Thanks!

Show HN: I built a tool to solve window management

Hello, my name is Andrew. I'm an indie developer and I'm excited to release Smart Switcher for Windows 10/11. I'm looking for feedback on the overall project and the application itself.<p>I built this because I couldn't find a window switching/management solution that worked for me. I tried all kinds of different solutions, virtual desktop extensions, obscure GUI window managers, you name it. Overtime I realized I wanted something that prioritizes one window at a time, is keyboard driven with has minimal if no GUI elements. I figured this part out, but knew something was missing. I had my eureka moment when I realized I could combine my switching method with a prediction algorithm. This led to the creation of Smart Switcher.<p>Smart Switcher is a data driven window switcher aimed at improving the overall window switching experience. It logs data on your windows switching, then a prediction algorithm analyzes this data and uses it to predict which window you would want to switch to next. When you need to switch windows, you press the switch shortcut to switch to the next predicted window. If this isn't the window you wanted, press the override shortcut to switch to the next most likely window. You can press the override shortcut as many times as needed until you arrive at your desired window.<p>It’s a paid app with a demo and trial version. There is a introductory discount and some additional discount tiers for early adopters.<p>Any feedback is appreciated! Thanks!

Show HN: Sumble – knowledge graph for GTM data – query tech stack, key projects

I’m Anthony, co-founder/CEO of Sumble. I was previously co-founder/CEO of Kaggle. Sumble is my newco with Ben Hamner (former co-founder and CTO of Kaggle).<p>### What we built<p>Sumble is a knowledge graph for go-to-market teams. We allow you to run very rich queries to identify prospects at a granular level and be able to do very targeted outreach.<p>Sumble allows you to find:<p>- tech stacks (in larger companies, down to the team or buying group level) - key projects those teams are working on (cloud migrations, GenAI initiatives, etc.) - people involved in those key projects<p>For example, here's a list of GenAI projects at Capital One that involve RAG/Vector databases: <a href="https://sumble.com/l/6sDqKmhyAH" rel="nofollow">https://sumble.com/l/6sDqKmhyAH</a><p>And this view includes a list of people who we think are involved in a particular project being undertaken by the AI Foundation Team at Capital One: <a href="https://sumble.com/l/j8mbRrDsly" rel="nofollow">https://sumble.com/l/j8mbRrDsly</a><p>These views allow you to reach out to that team with a granular understanding of what they are working on.<p>### Inspiration<p>Sumble was very much inspired by our experience at Kaggle:<p>1. Kaggle’s public-data platform showed us how hungry people are for high-quality data (the metrics on that product were really strong)<p>2. At Google we saw knowledge graphs unlock powerful and composable queries<p>### Trying it out<p>- The app is live today; you’ll need to log in (Google OAuth or magic links)<p>- Most functionality and data are free; we only charge individual users for bulk exports<p>### How it works (briefly)<p>- Sources: job posts, resume data, company websites (more to come!)<p>- Extraction & linking: We use LLM (mostly fine-tuned models) to extract entities out of text from sources (company → team → people on a team → projects the team is undertaking → technology the team uses)<p>### What’s next<p>- Adding more sources so you can run even more composable queries<p>- Opening an API so devs can hit the graph directly<p>- Much later: expand to use cases beyond GTM<p>### Feedback<p>- Is the web app intuitive?<p>- What queries do you want us to prioritize supporting in an API?<p>- What additional external data sources would you like us to prioritize? - What workflow improvements/integrations would you find most helpful?

Show HN: Sumble – knowledge graph for GTM data – query tech stack, key projects

I’m Anthony, co-founder/CEO of Sumble. I was previously co-founder/CEO of Kaggle. Sumble is my newco with Ben Hamner (former co-founder and CTO of Kaggle).<p>### What we built<p>Sumble is a knowledge graph for go-to-market teams. We allow you to run very rich queries to identify prospects at a granular level and be able to do very targeted outreach.<p>Sumble allows you to find:<p>- tech stacks (in larger companies, down to the team or buying group level) - key projects those teams are working on (cloud migrations, GenAI initiatives, etc.) - people involved in those key projects<p>For example, here's a list of GenAI projects at Capital One that involve RAG/Vector databases: <a href="https://sumble.com/l/6sDqKmhyAH" rel="nofollow">https://sumble.com/l/6sDqKmhyAH</a><p>And this view includes a list of people who we think are involved in a particular project being undertaken by the AI Foundation Team at Capital One: <a href="https://sumble.com/l/j8mbRrDsly" rel="nofollow">https://sumble.com/l/j8mbRrDsly</a><p>These views allow you to reach out to that team with a granular understanding of what they are working on.<p>### Inspiration<p>Sumble was very much inspired by our experience at Kaggle:<p>1. Kaggle’s public-data platform showed us how hungry people are for high-quality data (the metrics on that product were really strong)<p>2. At Google we saw knowledge graphs unlock powerful and composable queries<p>### Trying it out<p>- The app is live today; you’ll need to log in (Google OAuth or magic links)<p>- Most functionality and data are free; we only charge individual users for bulk exports<p>### How it works (briefly)<p>- Sources: job posts, resume data, company websites (more to come!)<p>- Extraction & linking: We use LLM (mostly fine-tuned models) to extract entities out of text from sources (company → team → people on a team → projects the team is undertaking → technology the team uses)<p>### What’s next<p>- Adding more sources so you can run even more composable queries<p>- Opening an API so devs can hit the graph directly<p>- Much later: expand to use cases beyond GTM<p>### Feedback<p>- Is the web app intuitive?<p>- What queries do you want us to prioritize supporting in an API?<p>- What additional external data sources would you like us to prioritize? - What workflow improvements/integrations would you find most helpful?

Show HN: A rain Pomodoro with brown noise, ASMR, and Middle Eastern music

I built this because most Pomodoro timers felt too sterile.<p>I wanted something that actually pulls you in with rain, brown noise, soft ASMR, and a few Middle Eastern tracks. Added animated backgrounds so it’s not just a blank screen.<p>Runs fully in your browser. No accounts, no tracking, just open it and focus.<p>If you give it a try or have ideas to make it better, I’d love to hear.

Show HN: A rain Pomodoro with brown noise, ASMR, and Middle Eastern music

I built this because most Pomodoro timers felt too sterile.<p>I wanted something that actually pulls you in with rain, brown noise, soft ASMR, and a few Middle Eastern tracks. Added animated backgrounds so it’s not just a blank screen.<p>Runs fully in your browser. No accounts, no tracking, just open it and focus.<p>If you give it a try or have ideas to make it better, I’d love to hear.

Show HN: Jukebox – Free, Open Source Group Playlist with Fair Queueing

Hey HN,<p>I built Jukebox because I got frustrated with group music apps and Spotify’s limitations (not everyone has Spotify, and collaborative playlists are still too easily dominated by one person). Jukebox is a web app that lets you create a group queue—anyone can join via link, add YouTube songs, and the system automatically rotates songs so everyone gets a fair turn (no more playlist hogs).<p>Web-based, no accounts, no installs.<p>Drop in a YouTube link or search and add music instantly.<p>Songs rotate in round-robin order (so even if one person adds ten songs, nobody else is skipped).<p>Entirely open source (MIT), self-hostable with Docker, privacy-friendly.<p>Live demo: <a href="https://jukeboxhq.com" rel="nofollow">https://jukeboxhq.com</a><p>Code: <a href="https://github.com/skeptrunedev/jukebox">https://github.com/skeptrunedev/jukebox</a><p>I made this as a stress-relief project while pivoting my actual startup (Trieve) and used it to practice UI/UX (neo-brutalist design, drag-and-drop), plus experiment with AI pair coding.<p>Would love your feedback or feature ideas!

Show HN: Jukebox – Free, Open Source Group Playlist with Fair Queueing

Hey HN,<p>I built Jukebox because I got frustrated with group music apps and Spotify’s limitations (not everyone has Spotify, and collaborative playlists are still too easily dominated by one person). Jukebox is a web app that lets you create a group queue—anyone can join via link, add YouTube songs, and the system automatically rotates songs so everyone gets a fair turn (no more playlist hogs).<p>Web-based, no accounts, no installs.<p>Drop in a YouTube link or search and add music instantly.<p>Songs rotate in round-robin order (so even if one person adds ten songs, nobody else is skipped).<p>Entirely open source (MIT), self-hostable with Docker, privacy-friendly.<p>Live demo: <a href="https://jukeboxhq.com" rel="nofollow">https://jukeboxhq.com</a><p>Code: <a href="https://github.com/skeptrunedev/jukebox">https://github.com/skeptrunedev/jukebox</a><p>I made this as a stress-relief project while pivoting my actual startup (Trieve) and used it to practice UI/UX (neo-brutalist design, drag-and-drop), plus experiment with AI pair coding.<p>Would love your feedback or feature ideas!

Show HN: Jukebox – Free, Open Source Group Playlist with Fair Queueing

Hey HN,<p>I built Jukebox because I got frustrated with group music apps and Spotify’s limitations (not everyone has Spotify, and collaborative playlists are still too easily dominated by one person). Jukebox is a web app that lets you create a group queue—anyone can join via link, add YouTube songs, and the system automatically rotates songs so everyone gets a fair turn (no more playlist hogs).<p>Web-based, no accounts, no installs.<p>Drop in a YouTube link or search and add music instantly.<p>Songs rotate in round-robin order (so even if one person adds ten songs, nobody else is skipped).<p>Entirely open source (MIT), self-hostable with Docker, privacy-friendly.<p>Live demo: <a href="https://jukeboxhq.com" rel="nofollow">https://jukeboxhq.com</a><p>Code: <a href="https://github.com/skeptrunedev/jukebox">https://github.com/skeptrunedev/jukebox</a><p>I made this as a stress-relief project while pivoting my actual startup (Trieve) and used it to practice UI/UX (neo-brutalist design, drag-and-drop), plus experiment with AI pair coding.<p>Would love your feedback or feature ideas!

Show HN: OffChess – Offline chess puzzles app

Hi HN!<p>I'm the developer of rdx, a mildly popular ad-free, privacy and user friendly Reddit client. This time, I made something for a very specific use case: solving chess puzzles with no internet.<p>Why? Well, my Wi-Fi is terrible in the bathroom—and that's where I do some of my best thinking. I tried printing out “mate in X” puzzles to solve offline, but they weren’t fun without interaction. So I built OffChess.<p>OffChess is an iPhone/Android app that contains over 100,000 chess puzzles, fully offline and completely ad-free. You can solve puzzles by category (Mate in 1/2/3/4/5, tactics like pins/forks/skewers, or openings like Sicilian/French, etc). You gain or lose points based on how you perform, so there's a light rating system to keep things engaging.<p>No accounts, no tracking, no monthly subscriptions, no internet required. Just pure, old-school tactical chess training, wherever you are.<p>You can check out the iPhone/iPad app at <a href="https://apps.apple.com/us/app/chess-puzzles-offchess/id6744736661?platform=iphone">https://apps.apple.com/us/app/chess-puzzles-offchess/id67447...</a> or the Android app at <a href="https://play.google.com/store/apps/details?id=com.offchess">https://play.google.com/store/apps/details?id=com.offchess</a><p>Would love feedback, bug reports, or suggestions.<p>Thanks!

Show HN: OffChess – Offline chess puzzles app

Hi HN!<p>I'm the developer of rdx, a mildly popular ad-free, privacy and user friendly Reddit client. This time, I made something for a very specific use case: solving chess puzzles with no internet.<p>Why? Well, my Wi-Fi is terrible in the bathroom—and that's where I do some of my best thinking. I tried printing out “mate in X” puzzles to solve offline, but they weren’t fun without interaction. So I built OffChess.<p>OffChess is an iPhone/Android app that contains over 100,000 chess puzzles, fully offline and completely ad-free. You can solve puzzles by category (Mate in 1/2/3/4/5, tactics like pins/forks/skewers, or openings like Sicilian/French, etc). You gain or lose points based on how you perform, so there's a light rating system to keep things engaging.<p>No accounts, no tracking, no monthly subscriptions, no internet required. Just pure, old-school tactical chess training, wherever you are.<p>You can check out the iPhone/iPad app at <a href="https://apps.apple.com/us/app/chess-puzzles-offchess/id6744736661?platform=iphone">https://apps.apple.com/us/app/chess-puzzles-offchess/id67447...</a> or the Android app at <a href="https://play.google.com/store/apps/details?id=com.offchess">https://play.google.com/store/apps/details?id=com.offchess</a><p>Would love feedback, bug reports, or suggestions.<p>Thanks!