Plausible build-in-public updates across owned and community channels
Post the same honest milestones and lessons on your own blog plus one relevant founder community, then keep the thread alive long enough for early users to see the journey accumulate.
Why this can grow a startup
Early distribution is easier when the product story can be checked in public instead of inferred from a launch page. Plausible said its public beta was launched on Indie Hackers and that the latest updates and milestones were posted on the company blog, Indie Hackers, and Uku's Twitter account. The team also said all early users came from those updates. That works because repetition across owned and community channels lowers the cost of trust. A stranger can read the latest note, click backwards, and see whether the team has actually been shipping and learning in the open.
Source-backed example
Plausible launched its public beta on Indie Hackers and said the earliest users came from milestone updates shared on the blog, Indie Hackers, and Uku's Twitter account.
Source-reported evidence
Source: Plausible Analytics: How we built a $1M ARR open source SaaS · Browse Plausible Analytics: How we built a $1M ARR open source SaaS tactics
Plausible had 60 active beta users by the time paid plans launched and said all early users came from build-in-public updates.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
When to use it
Use this when Content, Community, Brand is relevant to build in public, early users, community distribution and you can run a bounded test with a low 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.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to Content and Community, using evidence from Plausible Analytics: How we built a $1M ARR open source SaaS as context—not as a promised result.
- Record a baseline for: Qualified search visitors who complete the intended next action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
Explore the context
Did you launch this experiment?
Report a launch to help us understand which growth ideas founders put into practice.
Apply this with an operator
Build creator and community systems around real incentives, trust, and repeat participation.
SOURCE HUB
More tactics from Plausible Analytics: How we built a $1M ARR open source SaaS
Explore related GrowthDex examples and evidence connected to Plausible Analytics: How we built a $1M ARR open source SaaS.
Open Plausible Analytics: How we built a $1M ARR open source SaaS source hub