There's a quiet irony sitting at the center of LinkedIn right now. The platform is full of engagement that looks real and mostly isn't, comment pods trading visibility, authors replying to everyone within minutes to game the algorithm, bait questions engineered purely for reply count. And yet, in the middle of all that manufactured noise, one growth strategy keeps working, gets harder to fake the more people try, and has quietly become the only channel that still rewards actually being right about something: building in public.
It's worth asking why. Most growth channels degrade as more people use them, that's just how attention works. Ads get more expensive as more advertisers compete for the same eyeballs. SEO gets harder as more content chases the same keywords. Engagement pods get less effective as the platform gets better at detecting them, which, as LinkedIn's own recent admission about AI-comment detection shows, is happening faster than a lot of people expected. Build in public is one of the few strategies that doesn't follow that curve, and the reason has less to do with the tactic and more to do with what it's actually asking someone to prove.
The thing that can't be faked at scale
A comment pod fakes agreement. A bait question fakes curiosity. A padded bio fakes authority. What none of those can convincingly fake, at least not for long, is a specific person doing specific work and being honest about the parts that didn't go well. That's the actual content of a good build-in-public post: not "we're excited to announce," but "here's the number that didn't move this week, and here's what we think that means."
This is precisely why it's hard to industrialize the way engagement pods have been industrialized. A pod scales by making every comment interchangeable, the same "Exactly, this" energy works under any post about any topic. Build-in-public content resists that kind of templating almost by definition, because the entire value of the post is that it's about thisspecific thing, this week, with this specific tradeoff attached. You can't run ten accounts through a build-in-public strategy the way you can run ten accounts through a comment pod, because the moment the details stop being specific and start being generic, the whole thing collapses into exactly the kind of content the audience has already learned to scroll past.
Why the algorithm rewards it anyway
There's a version of this argument that sounds purely moral, honesty is good, fakery is bad, but the more interesting version is mechanical. Platforms optimize for time spent and genuine reaction, not for surface-level engagement counts, at least not anymore, and not as reliably as they used to. A thread full of uniform "Exactly" replies generates a comment count, but it doesn't generate the kind of sustained attention, saves, shares to DMs, or repeat visits that a platform actually wants to detect and reward long-term. A build-in-public post that says something specific and slightly uncomfortable, a metric that didn't hit target, a decision the founder second-guessed, tends to generate a different kind of response: people arguing in the comments about whether the interpretation is right, other founders sharing their own version of the same problem, screenshots forwarded into private group chats. That's a messier, slower kind of engagement, and it's much harder to manufacture, which is exactly why platforms that are getting better at detecting manufactured engagement end up rewarding it more, not less.
The cost that makes it work
None of this means build in public is easy or free. It has a real cost, and the cost is precisely the thing that makes it defensible: it requires having something true and specific to say on a regular cadence, which means it requires actually doing the work first. A comment pod can be run by someone with nothing to show. A bait question requires no expertise at all. Build in public requires a product, a decision, a number, something that actually happened, which is a much higher bar to clear, and that height is exactly why it doesn't get diluted the way every other channel eventually does.
There's a practical implication buried in this for anyone choosing where to spend limited time and attention. The instinct, especially early, is to chase the channel that looks cheapest, and comment engagement on other people's posts has always looked closest to free. But cheap-to-fake and cheap-to-do are different properties, and a channel that's cheap to fake gets crowded with fakes until the platform builds a detector for it, at which point the cost stops being cheap at all, it just becomes a liability with a delay on it. A channel that's genuinely hard to fake because it requires real work stays valuable precisely because most people won't put in the real work to compete on it.
What this looks like done well
The pattern that actually works isn't complicated, though it is demanding in a specific way. It's a real number, published on a real cadence, with the parts that didn't work included rather than edited out. It's commenting more on other people's posts than posting original content, and doing so in a way that's obviously specific to what was actually read rather than generically applicable to anything. It's resisting the urge to smooth every update into a highlight reel, because the smoothing is exactly what makes content start to resemble the manufactured version of itself.
The platforms are getting better at telling the difference between a real voice and a manufactured one. That's not a threat to anyone who was already doing the harder, slower, more specific version of the work. It's a threat to the version of growth that was always borrowing credibility it hadn't earned, and it was probably never going to hold up indefinitely anyway.
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Bilal Sultan
Content Team at Commenty
Writing about LinkedIn growth, personal branding, and AI tools for professionals.