Open Notes – Community Notes-style context for Discord
Howdy, Open Notes co-founder here! At Open Notes, we're building a system for community-driven constructive moderation and annotation that can be added to anything. Under the hood, we're using the open-source Twitter/X Community Notes algorithm (though that doesn't really kick in until you've got some scale). We're interested in providing everyone with tools for managing discourse that go beyond traditional moderation. Discord is the demo/reference integration, but we want it go anywhere and everywhere. Part of our thesis is that we want to get to where people are already talking…
Open Notes – Community Notes-style context for Discord launched on February 13, 2026 with 20 votes, #754 of 16,627 launches that month and more than 90% of that year's launches.
In plain words
Open Notes is a community-driven moderation and annotation system for Discord that applies the Twitter/X Community Notes algorithm to moderate discourse constructively. Built for community managers and Discord users, it allows members to collaboratively add context to messages rather than relying solely on traditional moderation. The tool works at scale and is designed to integrate into existing platforms where conversations already happen.
written from the facts on this page · September 2026
From the sources
Open Notes helps server admins surface the small number of disputed claims that actually need attention, and invite the community to add context before moderation is needed. Inspired by Community Notes, Open Notes adds a new lane between debate and enforcement. Context can be drafted by humans, or optionally with AI assistance, then reviewed and voted on by the community before it’s published. Context sticks to the claim, so the same debates don’t repeat. Currently in beta for Discord servers.
In the maker’s words, at launch
Howdy, Open Notes co-founder here! At Open Notes, we're building a system for community-driven constructive moderation and annotation that can be added to anything. Under the hood, we're using the open-source Twitter/X Community Notes algorithm (though that doesn't really kick in until you've got some scale).…
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