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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.
Based on our record, Shlink seems to be more popular. It has been mentiond 14 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.
Building a URL shortener from scratch? Nah, youโre crazy! Instead, we grabbed a trusty open-source solution thatโs already been battle-tested. By using this ready-made tool, we skipped the drama of starting from zero and cut our development time way down. This gave us more time to focus on making our app and management system even betterโplus, it saved us from pulling out our hair! - Source: dev.to / almost 2 years ago
Last big project at my old job was for an appointment notification service. In addition to making messages longer and thus costing us more, counterintuitively the unshortened URLs got flagged as spam by automated systems and end users more than shortened. However, you canโt use bitly or other free/public shorteners; use one hosted on your own domain. I used shlink https://shlink.io/. - Source: Hacker News / about 2 years ago
IF you just want to setup an internal link shortener, there is software out there for it. We do it at my company. The best one I've found is Shlink: https://shlink.io/. Source: about 3 years ago
I have just set up shlink.io via /r/portainer and docker-compose. Now I have tried opening the CLI to generate an API key which I need for the shlink web interface but unfortunately it closes in a fraction of a second after bin/cli, showing all available arguments. Source: about 3 years ago
Are you looking for stable HTTP/S URLs that you can publish for others to access? One solution to that might be to purchase your own domain and host a little redirector service that bounces the consumer to the real, currently active, cloud URL. Something like https://shlink.io/ might work (but Iโve not used it, and thatโs just a suggestion not a recommendation!). Source: over 3 years ago
Bitly - Get the most out of your social and online marketing efforts. Own, understand and activate your best audience through the power of the link with Bitly Enterprise.
OpenAI - GPT-3 access without the wait
Polr - An open source URL shortener. A great non-profit and free alternative to bit.ly, TinyURL, or goo.gl.
YOURLS - YOURLS is a website that contains all the tools you need to create and launch your very own URL shortener. URL shorteners like bitly or TinyURL are fine for public use, but they offer limited options in terms of URL customization.
TinyURL - Are you sick of posting URLs in emails only to have it break when sent causing the recipient to...
Lstu - A nice and open source url shortener. You can use it as service or install it on your own server.