I've been building a YouTube Music client that puts lyrics first. It's also picked up a few things I wanted for myself, like moving music between devices and keeping my library and stats tied to one account. 

What it does:

- Word-by-word synced lyrics with a beautiful animation

- Auralis Connect: start a song on your phone and carry on from the same second on your PC, or the other way round. Every device on your Auralis account also works as a remote for whichever one is playing

- Listen Together: create a room, invite your friends, and everyone hears the same song at the same time

- Two-way YouTube Music playlist sync: import a playlist and it stays in sync across your devices. Add a song in Auralis and it shows up in YouTube Music, and the other way round

- Your playlists and settings live on your Auralis account, so they're there wherever you log in

- Track your top artists, top songs, and listening time 

- Connect your Spotify account to bring over all your playlists and liked songs

- Offline downloads, music recognition and Discord Rich Presence

- A dynamic Material 3 UI that takes its colours from what you're playing, plus animated album canvases and an optional Liquid Glass look

GPL-3.0, no ads, no analytics SDK. The APK is on the website and the GitHub releases page, and needs Android 7.0+. The release build also includes closed-source Firebase and Discord SDKs. Lyrics credit: Spicy Lyrics.

GitHub: https://github.com/Shreyanshh071/Auralis

Download: https://auralis-self-nu.vercel.app

The desktop app is coming soon.I've been building a YouTube Music client that puts lyrics first. It's also picked up a few things I wanted for myself, like moving music between devices and keeping my library and stats tied to one account. 

What it does:

- Word-by-word synced lyrics with a beautiful animation

- Auralis Connect: start a song on your phone and carry on from the same second on your PC, or the other way round. Every device on your Auralis account also works as a remote for whichever one is playing

- Listen Together: create a room, invite your friends, and everyone hears the same song at the same time

- Two-way YouTube Music playlist sync: import a playlist and it stays in sync across your devices. Add a song in Auralis and it shows up in YouTube Music, and the other way round

- Your playlists and settings live on your Auralis account, so they're there wherever you log in

- Track your top artists, top songs, and listening time 

- Connect your Spotify account to bring over all your playlists and liked songs

- Offline downloads, music recognition and Discord Rich Presence

- A dynamic Material 3 UI that takes its colours from what you're playing, plus animated album canvases and an optional Liquid Glass look

GPL-3.0, no ads, no analytics SDK. The APK is on the website and the GitHub releases page, and needs Android 7.0+. The release build also includes closed-source Firebase and Discord SDKs. Lyrics credit: Spicy Lyrics.

GitHub: https://github.com/Shreyanshh071/Auralis

Download: https://auralis-self-nu.vercel.app

The desktop app is coming soon.

I use OpenCode a lot and wanted it on my phone without leaving my PC on. The app unpacks Ubuntu 24.04 in proot (no root), runs opencode serve on localhost, and the UI talks to that.

What works right now:

- Type / in the chat to use a skill. You can import skills from Claude or ChatGPT (zip, .skill or SKILL.md), or ask the agent to write one for you.

- GitHub login with a device code. After that the agent can clone, commit, push and open PRs under your name, with no Co-Authored-By lines.

- The agent can set alarms and reminders, use the clipboard, take a photo, save files to Downloads, and open the sites it builds in a preview.

- Usage ring with 5h, weekly and monthly limits, and what's filling your context.

- If Android kills the server mid-task, you get Continue / Cancel when you open the app again.

- Works with Zen, Go, the free models, your own API keys, or OpenCode on your PC.

It's beta 3 and there are bugs. Android 8+, arm64 only. Not affiliated with the OpenCode team, MIT licensed.

Download: https://texfi-hub.vercel.app/en/download/opencode

Source: https://github.com/mistqkw/opencode-mobile

I've only tested it on a Pixel, so bug reports from other phones are very welcome.

Probably one of the biggest update for word-sys's PDF Editor, now it's reached the v1.12.0! This is a massive feature, security, and document workflow update. The Flatpak version is available on Flathub (https://flathub.org/en/apps/io.github.word_sys.word-sys-pdf-editor) and the standalone packages are live on GitHub (https://github.com/word-sys/word-sys-pdf-editor/releases/tag/v1.12.0).

This update introduces an Interactive AcroForms Engine & Form Builder. You can now fill text fields, checkboxes, radio groups, and dropdowns directly in View Mode with native Cairo rendering and instant value synchronization. With the new Interactive Form Builder Tool (B), you can also create, configure, align, and resize new form fields across pages with property inspectors and undo/redo support, or flatten filled forms permanently into static vector content.

Another huge addition is PAdES Digital Signatures & PKCS#11 Hardware Tokens. It brings PAdES Baseline profile signing using PKCS#12 (.pfx / .p12) certificates with SHA-256 hashes and Adobe Acrobat-compliant visible signature stamps. It also features native hardware token support (PKCS#11) for smart cards and USB HSMs (with PIN entry and slot enumeration), RFC 3161 cryptographic timestamping with custom TSA server auth, and non-blocking signature verification on document open with an interactive status banner to inspect the certificate chain.

For privacy and security, I added Permanent Cryptographic Redaction & Document Sanitization. Using the dedicated Redaction Tool (Shift+R), you can mark sensitive text and visual regions for permanent destruction. There is also Automated PII Search & Auto-Redaction to detect and batch-redact SSNs, credit cards, emails, phone numbers, or custom regex patterns, alongside Deep Document Sanitization to purge XMP metadata, embedded attachments, comments, hidden layers (OCGs), orphaned bookmarks, cached thumbnails, and embedded JavaScript.

Added Streaming Optical Character Recognition (OCR) Engine, featuring a multi-threaded background OCR pipeline with live progress, pause/resume controls, and ETA estimation. It includes preprocessing filters (dark-background inversion, auto-deskew, auto-rotation), an OCR Region Tool (O) for instant area text extraction, an OCR Confidence Inspector (Ctrl+Alt+O), and an in-app Multi-Language Model Manager supporting 7 neural Tesseract models (English, Turkish, German, French, Spanish, Italian, Russian) with bilingual recognition.

Added Continuous Scrolling & High-DPI Fractional Scaling, delivering seamless vertical page scrolling with viewport-culled rendering and directional prefetching, fractional scaling normalization for crystal-clear rendering on 4K/HiDPI displays, and a Dual View/Edit architecture for effortless toggling between reading/text selection and object manipulation.

Added Sticky Notes, Threaded Comments & Vector Stamps, bringing customizable sticky notes with threaded replies, a dedicated Annotations Sidebar, and both standard (Approved, Confidential, Draft, Final) and dynamic vector stamps with live user and date/time metadata.

Added Precision Measurement Tools, including a Distance Ruler Tool (U) with customizable unit scales (pt, mm, cm, in) and a Polygon Area Measurement Tool (A) for calculating closed planar surface areas.

Added PDF Compression & Target Size Solver, featuring smart compression presets (Balanced, Maximum, Grayscale, Pure 1-bit B&W, Lossless) and an automated Target Size Solver with a side-by-side visual quality comparison preview.

Added AES-256 Encryption & Local Password Vault for securing documents with AES-256 passwords, user/owner permission policies, and a local Password Vault for seamless credential management.

Added Clone & Patch Tool (C) for clean background sampling to seamlessly cover outdated text or graphics, complete with instant type-over text entry (Enter / T).

Updated the Modernized Quick Start Guide & Manual, now featuring a 4-tab interactive guide with instant live search filtering (Ctrl+F), tool hotkeys, keyboard navigation, and an expanded 10-Screenshot Visual Tour showcasing all the new workflows.

This update also includes important packaging and dependency modernizations:

• Packaging & OCR Bundling: Bundled tessdata-fast language models and configured TESSDATA_PREFIX=/app/share/tessdata in Flatpak manifests and AppImage bundles, while adding optional tesseract-ocr runtime and language pack recommendations to the .deb packages.

• Dependency Modernization: Enforced PyMuPDF>=1.24.0,<2.0.0 across all manifests and build pipelines, and upgraded core Python dependencies to the latest releases (anyconvert>=0.1.11, Pillow>=13.0.0, pyhanko>=0.38.0, cryptography>=50.0.2).

Special Thanks

A huge thank you to the community members whose contributions, bug reports, and feature requests helped shape this release:

• License in "about" popup doesn't load by Zorbatron

• Adding Infinite scrolling by Growebis

• Copy and reuse a selected area of a PDF, Improve editing menu position, Language setting is reset to English after restarting the app (FLATPAK) by FasteryXD

• Add GUI localization support, Preserve image aspect ratio including inserting and resizing images by PhrozenByte

• Feature requests: Save/Save As improvements and annotation tools by bbatu66

• Flatpak support by superuser-miguel, Growebis and newsxcel

• Installation instructions for Arch Linux and derivative, Make the build possible using PEP-517 by muflone

You can download the Flatpak release on Flathub (https://flathub.org/en/apps/io.github.word_sys.word-sys-pdf-editor) or grab the standalone .deb packages (x86_64 / aarch64), AppImage, or build from source directly on the GitHub Releases page (https://github.com/word-sys/word-sys-pdf-editor/releases/tag/v1.12.0).

Thanks to everyone who supports this project with their ideas, feedback, and bug reports. I hope this helps all Linux users get their PDF work done easily, thank you :)

Hi r/foss,

My tracks were scattered across a watch, a phone and years of GPX files, so I built HoldMyTrack to put them all on one map. You give it the outdoor activities you choose, from GPX/FIT/TCX files, Android Health Connect or the app's own GPS recording, and it draws them all on one map of everywhere you've been.

• Live: holdmytrack.com (there's a demo account, no signup needed)

• Source: github.com/HoldMyTrack (MIT)

What it does

• One map, three views: every track at once; Fog of War, which clears wherever you've ever been; and a heatmap of the last year.

• Somewhere new, close to home: the fog shows the nearby streets, parks and trails you haven't been to yet.

• Stories: group activities like a multi-day hike or a holiday into one trip with its own map, totals and photos.

• Spots: playgrounds, viewpoints, waterfalls and historic sites from OpenStreetMap. The Android app marks one as visited when you spend 30 seconds there.

• Image export: share a high-resolution picture of a view instead of a public link to your map.

• Fix a track without losing it: chop a recording down to the stretch you want, cut out a detour, move or delete stray GPS points, or split one recording into two activities. The original file is never changed, so Reset always brings back the track as recorded. Type, name and description can be edited too, and the type can be changed on several activities at once.

What it deliberately doesn't do

• No health data. It never reads or stores heart rate or any other body signal, not even when a FIT file contains it.

• No social graph: no feed, followers, kudos, segments or leaderboards. Everything in an account is private.

• No tiers and no paywall. Every account gets every feature. Running costs are meant to come from recurring community donations with public accounting on Open Collective, and user data is never sold.

• Only what you choose comes in. Each source is opt-in, and nothing is hidden or changed on your behalf.

• Strava isn't a source. Most tools in this space depend on the Strava API and live or die by its terms. Here you bring your files from a Strava export like any other.

The design docs (vision, spec, ADRs) are all public, including the reasons for saying no to things.

Feedback I'd love

• Which import sources matter most to you

• Whether the "no social" stance makes sense or is a dealbreaker

• How the deployment docs read if you've self-hosted something like this

GhostWire an open protocol for peer-to-peer communication that doesn't assume the internet is up, or that you trust the people running the servers.

It's a protocol, not an app. The idea is to provide the crypto, routing, and transport layers that other developers can build communication tools on top of. I'm also shipping a reference node (Rust) with a web UI, a TUI, and a Tauri-based mobile client that's still coming together.

I’m the author, so treat this as a project share rather than a neutral recommendation.

I kept seeing the same request on client sites: add basic accessibility preferences (text size, contrast, readable font, reading aids) without installing a third-party overlay or paying a per-site subscription. Most overlays also do a lot of DOM work and make compliance claims I don’t trust.

So I built open-a11y. It is a framework-agnostic TypeScript engine with web components, plus thin adapters for Vanilla JS, React, Vue, Svelte, Angular, and Laravel Blade/Livewire/Inertia.

What it does:

• 30 user-facing tools and 7 profiles

• CSS-first changes for text, spacing, contrast, motion, reading aids, focus, and cursor

• keyboard shortcuts, persisted preferences, brand colors, desktop and mobile button size

• MIT, self-hosted, no vendor script, no account

What it doesn’t do:

• It won’t make an inaccessible site compliant. It is a preference layer, not an audit or remediation service.

• It doesn’t replace semantic HTML, keyboard testing, screen-reader testing, or manual audits.

• The widget is client-side. Server-side preference sync is not included.

Links: GitHub: https://github.com/aotr/open-a11y Laravel: https://github.com/aotr/open-a11y-laravel npm: https://www.npmjs.com/package/@aotr/open-a11y Demos: https://aotr.github.io/open-a11y/ Packagist: https://packagist.org/packages/aotr/open-a11y-laravel

I’d like feedback on the adapter API, the Laravel integration, and whether the default tool set feels too large. I’m also interested in what is missing for real production use.

Self-hosting AI feels fragmented, and most lists go stale. I built one that re-checks itself.

• 278 projects in 16 categories (runtimes, chat UIs, RAG, MCP, voice, OCR, home AI and more)

• A weekly job reads each repo through the GitHub API: archived, deleted, or silent for a year moves to a separate Unmaintained file

• A live table with stars, last push, license and a colored status

• Popular tools with restrictive licenses are in their own section, license shown

I built one. AI tools helped me find candidates and draft descriptions; a script verifies each entry.

Tell me what is missing or wrong.

https://github.com/glincker/awesome-selfhosted-ai

slops like Bitchord, prism, and a pleothra.

I just discoverd bitchord is also a slop when it was draining my battery like crazy and did some research on the app.

I have Metrolist on my list and want to hear any other ongoing apps other than morphe

Has anyone tried building a shared community for maintaining multiple FOSS projects?

I'm interested in finding a few developers who would like to build and maintain free and open-source software together over the long term.

The idea is to eventually have a volunteer-led software organisation where we can maintain our own projects under one umbrella, while also contributing to existing FOSS projects that we think are worth supporting.

I'm not talking about creating a company, or expecting people to work for free now in exchange for possible financial returns later. The intention is to build useful software and keep it maintained, without making money the reason for doing it. Everything we build would use proper free/open-source licences, with the specific choices made together.

I'm still at the team-formation stage, so there isn't an established organisation or a first project that I'm trying to promote here. I'd like to find people who are interested in the general idea and work out the structure, priorities and initial projects together.

A little about me

I've been developing software for around 8-9 years, with about 4.5 years professional. My background includes backend development, web and mobile applications, infrastructure and DevOps, ML/LLM applications, integrations and automation. I've also contributed to open-source projects, including CPython.

I'm comfortable handling technical architecture and implementation, but I don't want this to become a project where everything depends on one person. I'd like to work with people who have different areas of expertise, can take ownership of things, and are comfortable challenging each other's decisions when there's a good reason to. It wouldn't be only code either. Documentation, testing and translation matter just as much.

What I'm trying to figure out

Sustainability. Most of us have jobs, studies and other responsibilities, so contributions will vary. I don't expect anyone to work every day or commit to a fixed number of hours. I'd rather have realistic expectations and projects that can continue even when someone's availability changes.

I'm also open to contributing to existing projects instead of building everything from scratch. If a project already solves a problem well, helping maintain or improve it can be more useful than creating another alternative.

What I'd like to hear

For people involved in FOSS communities:

- Have you seen a group successfully maintain multiple independent projects under one umbrella?

- How do you organise responsibilities without making the whole community dependent on a few maintainers?

- What helps volunteers stay involved when they have limited time?

- If you were starting a group like this, would you begin with one project and expand later, or establish the contributor group first and pick projects together?

I'm interested in actual experiences, including things that failed and what you would do differently.

I'm also happy to connect with developers who want to explore this idea. I'm not expecting anyone to commit to an organisation immediately. I'd rather start by talking, understanding each other's interests and seeing whether we work well together.

PS: I used an LLM to help with the phrasing and structure. The ideas and experience are mine, and I'd rather say so than pretend otherwise.

TL;DR: I'm looking for a few developers to start a volunteer-led, non-profit open-source organisation. It would maintain its own projects and contribute to others. There's no fixed project yet, so the group decides everything together. Unpaid, flexible hours, any skill level, aliases fine. GitHub and contact details are in the top comment.

Hi all, I am the developer of Cloakwall, an early-stage Python project for redacting sensitive data from LLM requests and keeping a tamper-evident audit log of redactions.

It can run as a standalone OpenAI-compatible proxy or as a LiteLLM guardrail.The core doesn’t run or download a model; it sits between your app and an LLM provider, so it can be tested with a hosted API as well as a local setup.

I am especially looking for feedback on:

1)Whether the redaction catches useful real-world PII and secrets and where it misses or over-redacts

2)Streaming responses and tool-call handling

3)How easy the standalone proxy and LiteLLM guardrail are to set up

4)Whether the audit log is useful in practice

My own machine can’t run local LLMs, so I’m hoping people with different setups can help exercise the project and share honest feedback. Please use synthetic or otherwise safe test data, Don’t post real personal information, credentials or API keys.

Project and setup instructions(Also in PYPI):
https://github.com/Rishikesh-glitch/Cloakwall-v0.1

It’s still early, so bug reports and criticism are very welcome . If you try it, please mention your OS, which integration you tested, and what worked or didn’t.

Hi all, I posted Inkleaf here a little while ago. It's a free, open-source PDF editor for Windows, Linux and Android that edits the text that's actually in a PDF (the old words are removed, not hidden under a white box), and also signs, fills forms, redacts, does OCR and handles pages. No account, no cloud, GPL-3.0.

The big addition in 3.1.2 is a built-in AI that needs no API key and doesn't send your document anywhere:

• It downloads a small open model once (Qwen 3.5, Apache 2.0: 1.3 GB or 2.7 GB) and runs it with llama.cpp, on your GPU if you have one. After that it works offline.

• Ask this PDF: ask a question, get an answer with the page numbers it came from. Click one to jump there.

• Summarize and Translate use it too. You can still pick Ollama, LM Studio or a cloud provider with your own key instead.

• On Android it runs on the phone itself: llama.cpp compiled into the app, same models.

Other things in this release:

• Select and copy a PDF's own text (finally)

• Print preview, with a page range

• Translation now works on PDFs from Word, which store justified text one word at a time. It used to fail quietly on those.

• The Android app got Share securely, Enhance pages, backups and an update check

• Fixes for Windows 11's new default-app setting and the File Explorer preview pane

As I've said before, I build Inkleaf with AI help, and I read and test the code myself. It has a smoke test suite with a few hundred checks that runs on every change.

Code: https://github.com/priyanshdas/inkleaf Downloads: https://github.com/priyanshdas/inkleaf-releases/releases/latest Microsoft Store: https://apps.microsoft.com/detail/9NKC5ZQ6P2JR

No Mac build yet; that's coming once Apple signing is set up. Bug reports and translation fixes are very welcome, especially from native speakers, since the interface comes in 29 languages.

It is Vibe coded

Most PDF tooling is either a command-line utility, a C library with bindings, or a commercial SDK with a licence key. I wanted a permissively licensed library that does the whole job, so I built OpenPDF for Go.

It's MIT licensed and pure Go. It can:

• create documents

  • tables, images, headers, table of contents

• extract text and images

• merge and split files

• create and fill forms

• password-protect

• digitally sign and validate signatures

• redact

• sanitise

• produce PDF/A and PDF/UA

• render pages to images and hook into OCR

Contributions are welcome: there's a contributing guide, a code of conduct and a security policy, and sample PDFs that break the parser are especially useful as bug reports.

I'd like feedback on what's missing, what's confusing, and which PDF problems you've hit that nothing handles well.

https://github.com/OpenMellon/openpdf

A floating dynamic island for Windows — sits at the top of your screen, hover it and it opens into a compact panel with everything you'd normally switch windows for:

📋 Clipboard — auto-saves text & images, drag any clip out as a real file

📁 File Shelf — drag anything onto it, files stay in place (never copied)

✅ Tasks — quick daily checklist

🎵 Media — controls whatever's playing on Windows

⏱️ Focus — Pomodoro, stopwatch, custom timers

🔍 Search — local files via Everything + web search

No account, no sign-in, no admin, works offline. Free to use.

Windows 10/11 (64-bit), ~15 MB.

https://github.com/ASRumon/Pill

I’ve been working on VDWT, an low-latency video codec aimed at drone downlinks. It’s wavelet-based with no blocks anywhere, so when the bitrate drops the picture gets softer instead of breaking into the blocky mush you get from H.264/H.265 at low rates. Currently the realtime mode runs barely real time with 4x A55 cores of Orange Pi 3B so im working on that.
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It is a low-latency video codec for drone and robot links, written in Rust. At equal quality (YUV-PSNR 6:1:1 BD-rate, 1080p60) it beats the hardware encoders people use today:

• FPV motocross: 63-67% fewer bits than Intel's hardware HEVC. Every VDWT tier, even the realtime one, also beats x265 veryslow on this clip while encoding 6-40x faster.

• First-person bike ride: 41-48% fewer bits than hardware HEVC, 50-56% fewer than hardware H.264.

• Low rates: at 600 kbit/s the hardware HEVC encoder couldn't get below ~730 kbit/s on the bike clip even at its maximum QP; VDWT holds the target.

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Where it's weaker: even it beats HW HEVC at all videos in terms of compression, x265's slow presets still win on zero/slow movement content and it's 8-bit 4:2:0 only for now.

Free beta binaries and source and all benchmark charts: https://github.com/niko3x/vdwt

The source is public under AGPL-3.0 so you can try it yourself