ScreenRec
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Xinity
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Xinity's answer:
Regulated European enterprises where data sovereignty and compliance are non-negotiable: finance, healthcare, legal, public sector, etc. These are organizations currently unable to adopt cloud AI because doing so would breach sovereignty requirements.
Xinity's answer:
Existing solutions force a binary choice: cloud APIs that violate data sovereignty requirements, or raw open-source tools that require dedicated MLOps teams to operate. Xinity eliminates this tradeoff. Its Scalable On-Premise LLM Management Automation System lets enterprises deploy production-grade generative AI on their own hardware, with OpenAI-compatible APIs, automated orchestration, and deployment in days rather than months. Existing applications can be redirected to on-premise inference with a single line of code. It is sovereign by architecture, not by contract.
Xinity's answer:
Xinity was founded in 2025 in Vienna by Alexander Zehetmaier (CEO) and Jonas Vander (CTO), who have built AI systems together for over a decade and studied AI at Radboud University in the Netherlands. They saw European companies forced into an impossible choice between powerful cloud AI that violated data sovereignty and open-source tools that were too complex to run without dedicated teams. Xinity was built to eliminate that tradeoff. On April 1, 2026, the company open-sourced its core Runtime under Apache License 2.0, making sovereign AI infrastructure freely available to developers across Europe. The mission: a compute-independent Europe.
Xinity's answer:
Most competitors sell contractual sovereignty. EU-region hyperscaler offerings and European sovereign cloud operators still process your data on infrastructure they operate, so sovereignty rests on a jurisdiction clause, not physics. That clause does not override CLOUD Act reach, and your data still leaves your perimeter. Xinity is sovereign by architecture: the model runs on hardware inside your perimeter, so no data leaves and no third party can access it. Against raw open-source tooling, which needs a dedicated MLOps team, Xinity adds production-grade orchestration, one-line migration, and a fully auditable Apache 2.0 codebase.
Xinity's answer:
Xinity is built on Bun and TypeScript. The core packages are an OpenAI-compatible API gateway, a model runtime daemon that runs on the GPU hardware, an operator CLI, a model registry (infoserver), and a SvelteKit admin dashboard. vLLM serves as the inference backend, with the data layer on Drizzle ORM, environment validation via Zod, and logging via Pino. It deploys through Docker Compose, with NixOS support. The proprietary R&D layer is Distributed Split Inference using a Mixture-of-Experts architecture, where expert sub-networks run across separate compute nodes and embedding encoding prevents any single node from reconstructing the output. The engine (gateway, daemon, CLI, infoserver, DB layer) is Apache 2.0; the dashboard is source-available under Elastic License 2.0.
I have recently switched to ScreenRec as my default screenshot utility to use on MacOS. In one simple click, I can capture everything on my screen in crystal detail, whether it is a full window or a specified area. It also provides me with an instant shareable link which saves my time when it comes to sharing snapshots and videos with my team members.
I am a UX researcher and I screen record user tests using ScreenRec. It records all the clicks and comments as they happen, and I do not miss anything. The screen recorder is a one-click program that automatically uploads recordings. It is simple to review feedback using the shareable link by all members of my team.
As a Mac user, I turn to ScreenRec when I need to save quick how-tos or capture bugs. It blends in with my workflowโyou click the menu bar icon, start recording, and stop just as easily. No fuss with installs or sign-ups, and the recordings stay crisp on macOS.
Based on our record, ScreenRec seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I like snag it but I use Screenrec. I thought that Snag it was a license only prouduct and this is a freebie with some cool features. Source: over 3 years ago
Teach a man to fish...its not hard, you could do it yourself and learn something :) Https://screenrec.com. Source: over 3 years ago
For people like me who are on Linux; Ubuntu 22.04 LTS (and downstream variants) now have a really fancy screenshot tool. But for screen recording, I'd recommend using ScreenRec. It's free, records at the press of two keys, can record in 4K, and gives you 2GB of free, private cloud storage. Source: almost 4 years ago
P.S. You know you can just use F12 for screenshots right? Unless this is console, then nevermind. If it is PC though, I recommend using Screen Rec if you want to capture only a specific part of the screen. Source: about 4 years ago
I tried a lot of different softwares and now use Screenrec. https://screenrec.com/. Source: over 4 years ago
Snagit - Screen Capture Software for Windows and Mac
OpenAI - GPT-3 access without the wait
Greenshot - Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.
FastStone Capture - A powerful, lightweight, yet full-featured screen capture tool that allows you to easily capture...
MWSnap - MWSnap is basically a free to use Windows snapping tools that are used for snapping any part of the screen that is currently displaying on the front of all opened programs and windows.
ShareX - ShareX is a free and open source program that lets you capture or record any area of your screen...