The founders who actually gain traction treat every public update as a measurable experiment, not a content performance
Learn why most build-in-public strategies optimize for applause instead of acquisition. This piece breaks down how to track which updates actually drive signups and turn transparency into an operational growth engine.
TL;DR
Likes aren't traction - Most build-in-public updates optimize for engagement, not signups. Track which posts drive landing page visits and conversions, not which ones get applause.
Every update is an experiment - Tag posts with UTMs, log the format and topic alongside results, and iterate weekly on what actually converts followers into users.
Lead with the problem, not the feature - Updates that frame user problems and show decision-making tradeoffs pre-qualify readers and convert at dramatically higher rates than feature announcements.
Your build log is a funnel, not a feed - Treat public updates as the top of an acquisition funnel with hypotheses and measurable outcomes, not a content calendar to fill.
Your Build Log Has 47 Likes and Zero Signups
You shipped a feature at midnight. You posted the screenshot. You wrote the thread. The likes rolled in. The retweets felt good. And then you checked your analytics the next morning and saw exactly what you saw the morning before: nothing.
This is the quiet crisis of build in public. The practice has become so popular that most founders confuse the performance of transparency with the function of it. The applause is real. The traction isn't.
How Build in Public Became a Content Game Instead of a Growth Engine
The original promise was elegant. Share your journey, attract early believers, convert attention into users. And for a while, it worked. Founders like Ankur Nagpal built entire companies by treating public updates as validation checkpoints, using every post to test assumptions and pull potential customers closer.
But the practice got absorbed into the content machine. Today, "building in public" mostly means posting polished screenshots, sharing revenue milestones (real or aspirational), and performing vulnerability for engagement. The advice ecosystem reinforces this: post consistently, pick the right platform, share your wins and losses.
Nobody asks the harder question: which of those posts actually moved someone from follower to user? The dominant playbook optimizes for audience growth, not customer acquisition. And 42% of startups fail because they build products nobody wants, which means the last thing founders need is another feedback loop that rewards performance over signal.
The Uncomfortable Split
Here's what we actually believe: transparency without a measurement layer is just journaling. The founders who hit 100 users treat every public update as a live experiment with a result to log.
That's not a content strategy. That's an operational discipline. And it changes everything about what you post, when you post it, and how you evaluate whether it worked.
Build Logs That Convert: Operational Metrics Over Vanity Metrics
Let's look at what this discipline actually looks like in practice.
The Reddit Post That Revealed the Gap
A founder recently shared a common experience: 1,000+ page views from a build-in-public post, 8 signups. That's a 0.8% conversion rate from what felt like a successful update. The post got engagement. People commented. It "worked" by every content metric available.
But 8 signups from 1,000 views isn't a content win. It's a conversion problem wearing a content costume. The founder was measuring the wrong thing.
What Changes When You Track the Right Thing
The founders we've watched break through don't post and hope. They post and measure. Specifically, they track which types of updates drive three things: landing page visits, signup completions, and activation (someone actually using the product).
This sounds obvious. It's not. Because it requires you to stop optimizing for the post itself and start optimizing for what happens after someone reads it. That means:
Tagging every build-in-public post with a unique UTM or referral link so you can trace signups back to specific updates
Logging the format, topic, and platform of each update alongside the result it produced
Killing the updates that get likes but no clicks, and doubling down on the ones that drive visits
As KP writes in the Build In Public Newsletter, the real operational metric isn't engagement. It's whether your updates produce "real-time answers to pressing problems" for potential users. When your build log solves a problem someone is actively searching for, it stops being content and starts being acquisition.
The Pattern That Actually Works
We've seen a consistent pattern among founders who convert build logs into paying users. Their updates share a structure, even if the format varies:
Problem framing first. They lead with the user problem they're solving, not the feature they built. "Users kept bouncing from onboarding" beats "shipped new onboarding flow" every time.
Decision transparency. They show the tradeoff they made and why. This is the part that builds trust. As KP puts it, "Trust is permanent and long-lasting," and it compounds when you share the reasoning behind decisions, not just the outcomes.
Measurable result. They close with what happened. Not "feels good" metrics. Actual numbers: signups, activation rate, churn reduction. Even if the numbers are small.
This structure does something subtle but powerful. It pre-qualifies the reader. Someone who reads a post about solving an onboarding problem and thinks "I have that problem too" is exponentially more likely to click through than someone who just admires your hustle.
Systematizing Without Losing Speed
The biggest objection we hear: "I barely have time to ship, let alone run a content measurement system." Fair. Solo founders don't have a growth team to analyze post performance and adjust strategy weekly.
This is where tools that bridge shipping velocity and growth planning become essential. heycatch generates tailored daily growth plans that adapt to your traction, which means your build-in-public strategy can evolve based on what's actually working rather than gut feel. Instead of guessing which update to write next, you get a structured approach that connects your real-time updates to measurable acquisition outcomes.
The point isn't to add more work. It's to make the work you're already doing (posting updates) function as a growth system rather than a content habit.
What You're Leaving on the Table
If this thesis is right, the implications are uncomfortable. It means most build-in-public founders are spending hours per week on updates that generate social proof but zero revenue. It means the founders with smaller audiences but better tracking are outperforming the ones with 10,000 followers.
It also means your build log is a goldmine of customer acquisition data that you're currently ignoring. Every post you've ever published has a conversion story attached to it. Which ones drove traffic? Which ones drove signups? Which ones drove nothing? If you can't answer those questions, you're flying blind in public.
The cost isn't just wasted time. It's wasted signal. Every update you post without tracking is a missed opportunity to learn what your potential users actually respond to.
A New Lens: Your Build Log Is a Funnel, Not a Feed
Stop thinking of your public updates as a content feed. Start thinking of them as the top of a funnel you haven't built yet.
A feed rewards consistency and engagement. A funnel rewards conversion and learning. The mental shift is small but the behavioral change is massive. When your build log is a funnel, every post has a hypothesis ("this update about our pricing experiment will drive more signups than last week's feature announcement"). Every post has a measurable result. And every week, your build-in-public practice gets sharper because you're iterating on what converts, not what performs.
This is the reframe: build in public is not a marketing channel. It's a live acquisition experiment that happens to look like content.
The Discipline Nobody Talks About
The founders who turn build logs into paying users aren't louder. They aren't more vulnerable. They aren't posting more often. They're just measuring what matters. They treat every update like a test, log the result, and adjust.
That's not glamorous. It won't get you featured in a "best build-in-public threads" roundup. But it will get you to 100 users while everyone else is still refreshing their like count.
Frequently Asked Questions
What is the build-in-public strategy for startups?
Build in public means sharing your startup journey transparently (decisions, metrics, failures) to attract early users and build trust. The most effective version treats each update as a live acquisition experiment with tracked outcomes, not just a content habit.
How do I turn build-in-public followers into actual users?
Tag every update with trackable links, lead with the user problem you're solving (not the feature you shipped), and measure signups per post rather than likes. Over time, double down on the update formats that drive landing page visits and cut the ones that only generate engagement.
Which platforms are best for building in public content?
The best platform is wherever your potential users already spend time, not where other founders hang out. Test two or three channels, track which one drives actual signups, and consolidate your effort there.