Logseq raises $4.1 million in funding! Accelerate the growth of the open source neuron knowledge management system and build a new world double-chain knowledge map

On May 5th, Logseq's official blog officially announced the news that "Logseq has received $4.1 million in its first round of financing" - We're proud to announce our first $4.1M seed round, which has aroused the attention of the industry.

It is reported that the financing was led by Stripe CEO Patrick Collison, former GitHub CEO Nat Friedman, Shopify founder Tobias Lütke, A16Z general manager Sriram Krishnan, and Craft Ventures, Matrix Partners, Day One Ventures, Expo/Quora founder Charlie Cheever, along with outliners, weblogs, RSS, podcasts, scripting pioneer Dave Winer, and even Logseq contributors and community members. The money will be used to hire top talent and double down on product development.

Logseq: Creating a new world "Wikipedia"

Logseq is a privacy-centric open source knowledge management system that can store data through a graph of nodes like a brain. Developers, academics, and research teams rely on Logseq to capture and synthesize large amounts of complex data and convert it into digestible Format. Today, users from Roam, Obsidian, and sites like Google Docs, Concept, and more are all using Logseq.

The Logseq platform is a fast-acting wedge for large-scale AI tasks. Logseq builds a "global shared brain" that stores data interconnected, allowing anyone to query in natural language and receive contextually relevant answers.

Logseq provides excellent security and privacy protection. It is local first and can store information in Markdown text files on the user's local device, so that users will always have their own information. Because Logseq is built on Markdown and Org mode, it is also interoperable with other platforms and has integrated rendering and editing capabilities.

The advent of Logseq presents a challenge to knowledge management systems based on Skuomorphic designs (simulating systems used to store physical files, files, and folders). In general, humans don't think linearly in pages and folders, but rather non-linearly link interconnected concepts. Logseq does exactly that by capturing this non-linear thinking to create intuitive and interconnected data that allows users to unleash their full potential.

As a startup less than a year old, Logseq has grown into a thriving developer community of hundreds of open source contributors, Logseq's monthly user base is currently growing at a rate of 20% per month, and the community Thousands of active users use Discord every day.

These active contributors are the key to Logseq's incredible speed with community reviews, hundreds of community-created extensions, plugins, and contributions. In the past three months alone, Logseq has 81 community-created plugins from calendars, NLP applications, Readwise integrations, and more. Logseq has been adopted by users at Google Brain, IDEO, Facebook, Tesla, MIT, Stanford, Harvard, and more.

Logseq was originally an open-source project developed by Tienson Qin (@秦天生), aiming to build him a more efficient tool to manage his own productivity, and also a program for children to learn more intuitively. It was through the Logseq open source community that Qin established connections with co-founders Mogujie and Hoolay.cn.

As Logseq's co-founder and CEO, Tienson Qin (@陈生) said, "Our open source community is the foundation of Logseq. Not only is this how our founding team around the world came together for the first time, it's also how we How will define an integral part of the Logseq roadmap and we will work towards our long-term vision to build with and serve the community."

Nat Friedman, former CEO of GitHub and one of the investors in Logseq, said: "I use Logseq every day, it's like uploading part of your brain. The team and product are great and reminds me of the early days of human-computer interaction. Times, Kay, Engelbart and Nelson are all tracking new frontiers of how computers can augment human thinking and creativity. I'm really excited about its potential."

Going forward, Logseq also plans to make the application collaborative and eventually create a world knowledge graph — a way to connect everyone and the personal knowledge graph of every knowledge base in the world. For example, users will be able to connect to Stanford's Knowledge Graph and stitch it to their own without having to walk into the classroom. The company's ultimate goal is to create a computer-powered world brain.