Building in Public
Share Progress Without Sharing Noise
A framework for choosing updates that teach something, protect sensitive context, and invite useful feedback from the right audience.
Frequent updates are not automatically useful. The strongest public notes compress experience into a decision another builder can inspect, question, or reuse.
This guide focuses on the decisions that survive contact with production: clear boundaries, observable behavior, and a feedback loop that reveals when an assumption is wrong.
The problem worth solving
Vanity updates list tasks completed but hide the reasoning. Readers cannot tell what changed, why it mattered, or whether the lesson applies to them.
The useful move is to make the hidden constraint explicit. Write down what must stay correct, what can be delayed, and how the system should behave when a dependency fails. That turns a vague idea into something a team can test.
A practical implementation
Structure an update around context, constraint, decision, evidence, and next step. Remove customer identifiers and credentials, and delay details that could weaken security or an active negotiation.
type PublicUpdate = {
context: string
constraint: string
decision: string
evidence: string
nextStep: string
}
const publishable = (draft: PublicUpdate) => redactSecrets(draft)
The example is intentionally small. In a real project, add structured logs, metrics around the failure path, and tests for retries or partial results. Keep the interface narrow so the implementation can change without forcing every caller to change too.
What to measure
Measure the outcome rather than activity. For software, that may be latency, error rate, queue depth, or recovery time. For product work, it may be activation, retention, or the number of useful conversations. Review the signal on a regular cadence and record what changed.
Takeaway
Share decisions and evidence rather than a stream of activity. A smaller number of precise updates builds more trust than constant noise.
Start with the smallest version that can teach you something, make its behavior visible, and improve it from evidence. That rhythm is more dependable than trying to design the final answer in one pass.
Further reading
Explore more Building in Public articles from this journal.
Tushar Sharma