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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've started with Simplenote years ago, at the time I was happy but it became clear pretty quickly that it was too basic. But to be fair, it's basic and free. Keep in mind it's unencrypted.
Was looking for an alternative for OneNote, so I found it here. I like how simple the interface is and the UI is very simple. It's good for what it is, but there is no sorting/topic system which makes it difficult to find specific notes for specific topics. Other than that, it's a good note system.
Based on our record, Simplenote seems to be more popular. It has been mentiond 83 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've been looking to migrate away from https://simplenote.com to something else and I've been dragging my feet. However, what's happened in the past 2 weeks with the CEO was the push I needed to resume looking for another solution. I've landed on Obsidian.md. I actually prefer Simplenote over Obisidian, because Simplenote feels smoother and the online web app is great, but I've decided that having more control... - Source: Hacker News / over 1 year ago
I use https://simplenote.com - Syncs across multiple platforms. - Plaintext based (with MD support). - Search + edit UI similar to https://notational.net and https://brettterpstra.com/projects/nvalt - Simple to publish/share notes - Free (as in beer and speech) --- If I used MacOS or there were web versions, I would love to use the following (they are all better at plaintext than SimpleNote): -... - Source: Hacker News / almost 2 years ago
Bookmarks serve two purposes: - Quick access to commonly used links. For this, I built https://multi-launch.leftium.com - Saving a link for future reference. Often I want to also save plain text notes for future reference, so find myself using https://simplenote.com I have also used https://www.bkmks.com to save links. I'm working on an app that will help save and organize everything: bookmarks, notes, and tasks. - Source: Hacker News / about 2 years ago
It doesn't meet the poster's needs, but Simplenote is still a thing for people who want text-only notes, Markdown, and easy access to plain text files. It got acquired by Automattic a few years back. https://simplenote.com/. - Source: Hacker News / about 2 years ago
Https://noteplan.co is a very similar app. Unfortunately I couldn't use it because it was limited to iOS devices (a web version is in development). - One thing missing in craftnote is search. That is a must-have feature for me. - I also like being able to publicly share notes with a (short) URL. See https://simplenote.com for an example of how this is done. Nice job with allowing your app to be usable without... - Source: Hacker News / about 2 years ago
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Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.