Stop performing transparency for applause and start using honest failures as demand-signal instruments
Learn why most public failure posts generate engagement but zero revenue, and how to use selective transparency as a diagnostic tool. Discover which honest failures actually surface real customer insights and validate demand for your next product launch.
TL;DR
Failure posts are demand signals, not diary entries - The value of sharing a failure publicly is the customer insights it surfaces, not the engagement it generates.
Structure posts as hypothesis tests - Choose which failures to share based on which market assumptions you need to validate, and design posts to elicit specific, actionable responses.
Measure comments, not likes - A dozen responses describing real pain points outperform hundreds of supportive reactions when it comes to product launches that convert.
Treat build-in-public as customer discovery - Your build log can be the low-cost validation layer that 95% of failed products never had, if you read the responses like a researcher instead of a creator.
Everyone's Sharing Their Failures. Almost Nobody's Converting Them.
There's a particular kind of post that floods indie hacker feeds every week. "We launched to 1,000 page views and got 8 sign-ups. Here's what we learned." The comments pour in. The upvotes stack. The founder feels seen. And then nothing happens. No paying users. No product launches that stick. Just another honest failure that performed well as content and poorly as a business move.
The build-in-public movement promised that transparency would be the growth engine. But somewhere along the way, sharing became the goal instead of the instrument.
The Authenticity Trap That Keeps Founders Posting and Broke
The dominant advice is simple: share everything. Your revenue numbers. Your churn. Your failed experiments. The theory goes that radical transparency builds trust, trust builds audience, and audience eventually converts to customers. It's a compelling narrative, and it worked for a handful of high-profile founders who already had distribution advantages.
But for solo founders grinding toward their first 100 users? The math doesn't hold. You end up with a content habit that optimizes for engagement metrics (likes, replies, follows) while the metrics that matter (sign-ups, activation, revenue) flatline. The audience you build cheers for your journey. They don't buy your product.
This used to feel like a patience problem. Post more, wait longer, trust the process. It's not. It's a targeting problem.
Failures Are Data. Treat Them Like It.
Here's what we actually believe: sharing your honest failures publicly isn't a growth strategy. It's a demand-signal instrument. The value of a failure post isn't the engagement it generates. It's the customer insights it surfaces about what people actually want, what language they use to describe their pain, and which problems they'll pay to solve.
Selective transparency is a diagnostic tool, not a personality trait.
The Conversion Gap Nobody Talks About in Product Launches
Consider what happens when a founder posts about a failed feature. Maybe they built an AI-powered onboarding flow and nobody used it. The typical build-in-public post would narrate the timeline, share the metrics, and end with a reflective lesson. "We learned that users don't want hand-holding." Nice. Shareable. Useless for growth.
Now consider the alternative. That same founder posts the failure but structures it as a question: "We built automated onboarding because 40% of sign-ups dropped off in the first session. The feature failed. What does your first session actually look like?" The comments that follow aren't applause. They're research. Real people describing real workflows, real frustrations, real willingness to pay for something different.
That's the difference between a build log and a demand signal.
80% of product launches in the U.S. fail due to poor consumer testing and disconnected internal validation. The problem isn't that founders lack ideas or effort. It's that they build in isolation and then broadcast in public, instead of using public channels to test assumptions before they harden into product decisions.
MIT faculty member Svafa Grönfeldt puts it plainly: "Many innovations fail because they introduce products or other solutions without a real need for them." And yet 35% of consumer insights get discarded by founders who believe they simply "had the wrong consumers" rather than adapting to what the data told them.
Build-in-public content is sitting on a goldmine of exactly this kind of data. Every comment on a failure post is an unsolicited customer interview. Every DM asking "did you try X instead?" is a feature request with emotional weight behind it. But only if you're structured enough to capture it.
We've seen founders who post weekly build logs get hundreds of engaged followers and zero conversions. Then we've seen founders who post one targeted failure post per month, structured around a specific hypothesis, and use the responses to segment their early users into behavioral buckets before their next iteration. The second group ships slower content. They ship faster products.
This is where a tool like heycatch becomes useful. Instead of guessing which failure to share or which channel to post it on, heycatch generates tailored daily growth plans that adapt to your traction signals. It helps solo founders bridge the gap between shipping velocity and user acquisition, so your build-in-public efforts feed directly into a structured growth loop rather than floating as disconnected content.
What Changes If You Treat Every Failure Post as a Probe
If this framing is right, several things shift immediately. First, you stop sharing failures for the sake of relatability and start choosing which failures to share based on which assumptions you need to validate. Not every stumble is worth a post. Only the ones that test a hypothesis about your market.
Second, you design your posts to elicit specific responses. Open-ended "here's what happened" narratives get sympathy. Pointed questions about the problem space get customer insights. The format changes from journal entry to research instrument.
Third, you start measuring the right things. A failure post that gets 12 comments describing a pain point you hadn't considered is infinitely more valuable than one that gets 200 likes and a "keep going, king." If you're not capturing those responses and feeding them into your pre-launch signal framework, you're leaving revenue on the table.
A New Lens: Build Logs as Customer Discovery Disguised as Content
Stop thinking of build-in-public as a content strategy. Start thinking of it as customer discovery that happens to be public. The mental model shift is this: you're not a founder who writes about building. You're a researcher who uses public posts as low-cost, high-signal experiments.
Every failure you share should answer one question: "What does the response to this tell me about what people will pay for?" If a post can't answer that question, it's a diary entry. Diary entries build personal brands. Demand signals build businesses. 95% of new products miss the mark because they launch without validated market need. Your build log can be the validation layer, if you stop using it as a mirror and start using it as a microscope.
Ship the Post That Scares You. Then Read the Comments Like a Scientist.
The founders who turn build logs into paying users aren't the most transparent. They're the most strategic about their transparency. They pick the failure that tests the riskiest assumption. They write the post that invites disagreement, not applause. And they treat every response as data that shapes what they build next.
Vulnerability without direction is just noise. Vulnerability with a hypothesis is research.
Frequently Asked Questions
What is the build-in-public strategy for startups?
Build-in-public means sharing your product development process openly, including wins, failures, and metrics. The most effective version treats each public post as a demand-validation tool rather than a personal branding exercise.
How can I turn build-in-public followers into paying users?
Structure your failure posts around specific hypotheses about your market, then analyze the comments for pain points and language patterns. Use those customer insights to refine your product and messaging before your next launch or iteration.
Which types of failures are worth sharing publicly?
Share failures that test your riskiest assumptions about what customers want, how they behave, or why they churn. Skip failures that only generate sympathy without surfacing actionable data about purchasing intent or unmet needs.