You shipped something today. Draft it in your own voice.
Build in public only works if the updates are specific and current. Generic AI posts read generic because they start from a prompt with no context. RepoMuse starts from your repo, your product profile, and your own past posts - then writes the update.
YOUR PROFILE
Not one brand voice - your voice, per author
Set traits, tone notes, preferred and banned terms, and point of view once. A solo founder and a teammate posting for the same product still sound like two different people, because they are.
YOUR PRODUCT
A profile RepoMuse actually reads
Audience, goals, content pillars, and the claims you have approved live in a versioned profile. Every draft is checked against it, not guessed from a one-line prompt.
YOUR REPO
Research before the first word
An agent reads your repo's README, releases, merged PRs, and commits before drafting. That's the difference between an update built on what you actually shipped and the same generic take everyone else already made that day.
Specific because the source material is yours
A build-in-public update built from a one-line prompt sounds like every other build-in-public update, because it was written from the same nothing. RepoMuse's writer reads your versioned product profile, an author voice built from posts you have already written, and your linked repository before drafting - so the update can name the pull request it is actually about.
- ✓ Content pillars and approved claims from your product profile keep every draft on message.
- ✓ Author voice - traits, tone, expertise, point of view - so different people on the same team don't sound identical.
- ✓ Live research on your linked repo, so your update names what you actually shipped.
- ✓ A human reviews and posts every draft - nothing ships to your account on its own.
FAQ
What does "build in public" mean?
Sharing the real progress of building a product in the open - shipped features, decisions, setbacks, and metrics - instead of only announcing finished launches. It works because it is specific and current, which is exactly what generic AI-written posts are not.
How is RepoMuse different from a generic AI post generator?
Generic tools take one prompt and return generic text, then forget you. RepoMuse keeps state: a linked repository it reads before writing, a versioned product profile, and an author voice built from your own past posts - so a build-in-public post can reference what actually shipped, not a paraphrase of your prompt.
Do I have to write the whole update myself?
No. Describe what happened - a shipped feature, a metric, a lesson - and the agent turns it into a draft matched to your voice and platform. You read it, edit if you want, and post it.
Which platforms does it support?
X, Threads, LinkedIn, and Bluesky - the platforms build-in-public audiences actually live on.
Coming from Typefully or Hypefury? See the Typefully or Hypefury comparison. Building your own agent? Read about calling RepoMuse over MCP.
Ship it, then post about it in a minute.
Free is 15 posts a month. $12/mo gets you 300.