Story angle
Decide whether this week should lead with stage, assumption, experiment, signal, or uncertainty instead of packaging learning as success.
Tool task
Build-in-Public Story Generator
Turn real Tomako GTM progress into community-acceptable public storytelling: stage, assumption, action, signal, uncertainty, and feedback ask instead of promotional copy.
Generate transparent build-in-public updates with evidence and questions
Enter your product stage, weekly progress, Tomako GTM hypothesis, current signals, and feedback ask. The prototype returns platform drafts plus an authenticity review.
Review prototype
What you get from the generator
Four platform drafts
Generate an Indie Hackers long post, Reddit discussion post, X thread, and LinkedIn progress update from the same material.
Authenticity review
Flag promotional language, evidence gaps, oversharing risk, and community-contract issues before you post.
Sharper feedback ask
Turn vague asks into a specific question the community can actually respond to.
Use it for public learning notes, not generic social posts
Useful for indie makers, early SaaS teams, developer tools, AI products, and small teams validating GTM channels.
Especially useful after Tomako has produced channel choices, launch plans, or growth assumptions and you need to explain the learning publicly.
The input can be rough, but it needs real progress and a real feedback question. Otherwise the output will sound like promotion.
The result is a draft and review aid. It does not auto-post, guarantee acquisition, or replace community judgment.
Same source material, different community contracts
Indie Hackers can carry the full context: background, assumption, numbers, learning, and a founder ask.
Reddit needs less promotion, the question near the top, and a clear reason the post is asking for judgment.
X threads should break the story into stage, action, signal, and uncertainty, not slogans.
LinkedIn can emphasize decision quality and learning, but it should not read like a company announcement.
Check what should not be public before posting
Do not reveal customer names, sensitive revenue, private roadmap, private community screenshots, or identifiable user feedback.
Metrics can be shared as ranges, relative movement, or sample sizes. If you do not have data, say it is a qualitative signal.
Tomako's GTM strategy should be framed as an input to your hypothesis, not as validated market truth.
If the ending is only a signup link or heavy CTA, it stops being build-in-public and becomes an ad.
Why this belongs in Tomako instead of a generic post generator
It starts from GTM assumptions
Generic tools ask for platform and tone. This asks for stage, channel hypothesis, signal, and uncertainty.
It preserves open questions
Good build-in-public writing is not perfectly polished. It shows what you are still trying to learn.
It adapts the social contract
Reddit, Indie Hackers, X, and LinkedIn do not accept the same framing with different lengths.
It reviews before publishing
The result flags copy that feels promotional, claims without evidence, and details that should stay private.
Treat the result as a pre-publish review sheet
Remove absolute conclusions that do not have evidence.
Keep at least one failure, hesitation, or unresolved question.
Separate metrics, user feedback, and Tomako assumptions instead of blending them into promo copy.
Review the Reddit version especially hard for self-promotion tone.
Before copying, confirm which numbers, customers, roadmap items, and internal decisions should stay private.
A good build-in-public tool should be specific and restrained
Quality: output should have a real story structure, not product claims rewritten in social tone.
Trust: it should distinguish facts, assumptions, metrics, qualitative signals, and unresolved questions.
Ease of use: the first version should need only stage, weekly progress, and a feedback ask, not a complete growth report.
Platform fit: platform drafts should change the social contract, not only the character count.
Safety: it should warn about oversharing, customer privacy, roadmap leaks, and self-promotion risk.
FAQ
Does this post to X, Reddit, or LinkedIn for me?
No. It creates drafts and a review checklist. You still edit manually and post according to each community's rules.
Can I use it without real metrics?
Yes, but the post should say it is a qualitative observation or unvalidated hypothesis. Do not invent momentum.
How is this different from a normal AI post generator?
Normal tools usually start from platform and tone. This starts from stage, GTM hypothesis, evidence, what worked or did not, and the feedback question.
Is this review version connected to a live Agent?
Not yet. This is a deterministic frontend prototype to validate the interaction and output structure. Before publishing, the team should decide whether to upgrade it to Agent/Skill Result output.
If you do not have a public GTM hypothesis yet, compare cold-start channels first. If you already have rough social copy, adapt it to each platform next.