r/software

Majority of large enterprises still operate like The Platform :) As work cascades through the hierarchy and moves downstream in huge batches, quality of ideas degrade, assumptions creep, purpose fades, and alignment vanishes. Does it not?

The famous crazy lead times, decision delays, and late feedback trilogy. Always ends in operational catastrophe. Does it not?

So, what makes organisations settle with outdated delivery methodologies? What do you think could change this?

I got tired of running Whisper from the command line every time I wanted subtitles for a folder of videos, so I built a small desktop GUI around it. Drop files in, pick a model, press Start — .srt / .vtt / .txt / .json land next to your videos, optionally embedded into an .mkv/.mp4 copy as a soft subtitle track (FFmpeg stream copy, no re-encode).

GitHub: https://github.com/hclivess/whisperer (MIT, Python/PySide6, prebuilt Windows/Linux/macOS binaries in Releases — no Python needed)

What it does:

- Two engines: faster-whisper (CTranslate2) built in, or an external whisper.cpp whisper-cli (CUDA / Vulkan / Metal builds)

- All models: tiny → large-v3, large-v3-turbo, distil-large-v3, .en variants, or any faster-whisper HF repo id. Models download on first use.

- ~30 languages or auto-detect, plus translate to English

- Live queue: add files/folders or drag & drop while a run is going, reorder, pause/resume/stop. Live transcript panel as segments decode.

- Progress with ETA and × realtime speed per file and overall

- Subtitle layout control: max chars per line, max lines per cue, max cue duration — long segments get re-split on word timestamps with balanced lines (no orphan words)

- video.en.srt naming that Plex/Jellyfin/VLC auto-detect, custom output folder, overwrite guard

- Presets (Fast / Balanced / Accurate / Best) + save/load your own

- Sanity checks before starting (e.g. English-only model with a foreign language selected)

GPU: the one thing that always annoyed me with faster-whisper was CUDA library hell. The Model tab has a one-click Download CUDA libraries button that pulls cuBLAS 12 / cuDNN 9 / NVRTC from the official NVIDIA PyPI wheels (~1 GB, resumable) into a folder next to the app, and shows exactly what it found (GPU, driver, libs, whether CTranslate2 can use it). No PATH editing. Expect ~10–30× realtime with large-v3-turbo on a mid-range card, ~1–3× on CPU with small.en.

Everything runs locally, nothing leaves your machine.

It's a sibling of videer (https://github.com/hclivess/videer), my batch FFmpeg encoder, and shares the same queue/presets workflow.

Feedback, bug reports and feature requests welcome — especially from people with AMD/Intel GPUs or macOS, since I can mostly only test NVIDIA + CPU myself.

I lost my uncle to violence in Nigeria a few years back. Before he died he sent me a voice note of encouragement, and I still have it, but it’s frozen. It can’t answer anything I ask it now.
EchoVault is my attempt to fix that. You do guided check-in sessions with an AI biographer that draws your actual stories out of you, and over time it builds an Echo that talks the way you talk and knows what you’d say. Most things in this space build an avatar from a few minutes of uploaded footage. This works the other way around, so the Echo can answer questions you never explicitly answered because it’s learned how you actually think.
Every response is grounded in something you really said, which means it won’t invent memories you never had.
Text is free forever with unlimited check-ins and no card. $12/mo adds your real cloned voice. There’s a $99.99 one-time setup for a lifelike video avatar that includes 3 months of live video, then $18/mo after that. The video tier is a live face to face conversation, not a rendered clip.
You name custodians up front. If a full year passes with no activity on your account, your Echo transfers to them automatically. No paperwork for a grieving family to figure out.
I shipped text, voice, and real-time video together in June 2025, which as far as I know made this the first digital legacy product where all three worked at once.
iPhone, iOS 15.1+: https://apps.apple.com/us/app/echovault-digital-legacy/id6762042028
Built solo, nights only. Happy to answer anything. Will appreciate any feedback too, thanks

Hey r/software!

What is HQBase?

HQBase is an open-source shared email workspace that deploys into your own Cloudflare account.

Features include:

• Multiple domains and mailboxes in one inbox
• Team invitations with permissions scoped per mailbox
• AI agent integrations through MCP, an API, and an agent skill
• Self-hosted push notifications
• A guided installation that takes around two minutes

What’s new in 1.2.0?

• Completely redesigned UI across desktop and mobile
• Improved support for third-party clients
• Expanded API documentation
• Fixes for catch-all mailboxes
• Stability fixes and polish throughout the application

Background

I have a personal domain and several domains for side projects. Those projects often need more than one mailbox, such as support, privacy, or general contact addresses. I also wanted to give teammates access to specific mailboxes without exposing everything else.

Most email services I tried either charged per domain or team member, had poor UX, or made managing several domains unnecessarily complicated.

I already hosted most of my applications on Cloudflare, so when Cloudflare introduced Email Sending, building the entire workspace there felt like a natural fit. That is how HQBase was born.

It took me a few months to get to a solid v1, and 1.2.0 is the release I'm most proud of so far.

HQBase itself is free and licensed under AGPL-3.0.

Deploying it requires the Cloudflare Workers Paid plan, currently $5/month, regardless of how many domains, mailboxes, or teammates you add.

GitHub: https://github.com/HQBase/hqbase

Website: https://hqbase.io

Changelog: https://hqbase.io/docs/changelog/#v1.2.0

Hi everyone,

FerrumPix is a desktop photo application for Linux, Windows and macOS: a library with a viewer, a fairly extensive editor with AI functions,Immich and Nextcloud support.

Repo: https://github.com/Bitpainter75/FerrumPix

My motivation behind it:

Most tools in this space tend to specialize in one area. A library app is great at organizing photos but offers little in the way of editing. A RAW converter is great for tone and color work, but stays purely parametric and never touches the pixels themselves. A pixel editor can do almost anything to an individual image, but usually has no library. And Immich and Nextcloud are great as server-side solutions, but ultimately remain browser-based, without an editor or local file management.

FerrumPix tries to bridge that gap: browse, rate, and tag your photos, then open one in an editor that supports both non-destructive adjustments and actual pixel editing. Your own Immich server sits in the same navigation tree as your local folders.The app is aimed more at hobby photographers than at professional workflows, and it really doesn't care whether you throw RAW files at it or JPGs from your phone.

It's built with Avalonia UI and .NET 10. The whole thing started as a personal project: an application that looks and works exactly the way I always wished one would. It's free and open source for anyone who can make use of it.

For transparency: yes, I use AI as part of my development workflow. That said, a project like this still involves a huge amount of hands-on work, architecture, debugging, and decision-making. I'm putting a lot of time into it, along with plenty of my own ideas and a lot of passion for the project.

Current status:

The current version is 0.9.30. The core areas are far enough along that I use the app daily myself; the focus now is on stabilization, UX and performance rather than new features.

I'd be glad to hear any feedback.

The app keeps running on Windows. There's a virtual display on each machine — the window gets moved onto the Windows one, captured, and drawn on the Mac as a real macOS window next to my Mac apps.

Median just under 10 ms, capture to display, wired.

NVIDIA only for now. Three months, solo.

Every time tracker wants an account, a subscription and your data on someone else's server. I just wanted: click start, click stop, and a PDF at the end of the month. So I built my own.

>Live demo: https://winnicodes.github.io/pocketwatch/
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GitHub: https://github.com/winnicodes/pocketwatch

Platform: Docker (Linux, Windows, NAS, Raspberry Pi):

• One-click start/stop, live timer
• PDF and CSV export
• Fully self-hosted - no account, no cloud, no tracking

I wanted a simple way to keep an eye on my PC without leaving a large hardware-monitoring app open all the time.

So I made TrayTemps.

It can show CPU and GPU temperatures directly in the system tray, use separate or combined tray icons, display CPU/GPU load, RAM, VRAM and FPS in an optional OSD, show temperature alerts, selectable sensors, storage health/SMART data, and detailed hardware information.

What makes it different from the many hardware monitors already available?

The focus is on having the information I actually want always available at a glance, while keeping the app lightweight and out of the way.

I’m not trying to replace HWiNFO or other full diagnostic suites. TrayTemps is more about tray temperatures + a customizable lightweight OSD, with a built-in FPS counter that doesn’t require RTSS, MSI Afterburner, or another external overlay.

It’s free, portable and open-source.

Website / Download:

https://www.naetech.ro/traytemps-monitorizare-temperaturi-cpu-gpu-direct-din-tray/

GitHub:

https://github.com/nmd-113/Tray-Temps