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GitHub Discussions Q&A category with marked answers

Use answerable Q&A categories and marked answers so good replies stop looking like just another comment in the thread.

rare tacticfree budget

Why this can grow a startup

A discussion can contain the answer and still feel unresolved to the next visitor. GitHub exposes answerable discussion categories and answer-marking in its Discussions model, which means the maintainer can turn a thread into a clearer endpoint instead of a loose conversation. That makes the archive more trustworthy for searchers and lighter for support because solved questions stop reappearing as fresh work. The point is not decoration. It is making the finish line visible.

Company example

GitHub's Discussions GraphQL reference shows categories can support choosing an answer through `markDiscussionCommentAsAnswer`, and discussion comments expose viewer permissions for marking and unmarking answers.

Source and metric

Source: GitHub Docs: Discussions GraphQL reference

GitHub exposes category support for answer selection plus `viewerCanMarkAsAnswer` and `viewerCanUnmarkAsAnswer` on discussion comments.

GitHubCommunitySEOanswered threadssupport archivecrawlable answerssearch trust
GrowthDex operator note

When to use it

Use this when GitHub, Community, SEO is relevant to answered threads, support archive, crawlable answers and you can run a bounded test with a free budget.

When not to use it

Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.

Founder checklist

  1. Read GitHub Docs: Discussions GraphQL reference and identify what is directly supported.
  2. Choose one channel context: GitHub, Community, SEO.
  3. Define the test around GitHub exposes category support for answer selection plus `viewerCanMarkAsAnswer` and `viewerCanUnmarkAsAnswer` on discussion comments..
  4. Set an owner, evidence window, and stop condition before launch.

Explore the context

Advisory bridge

Apply this with an operator

Turn isolated search tactics into a crawlable visibility system tied to demand and proof.

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