There is a specific kind of LinkedIn post that has colonised the platform. It opens with a one-line hook. It has a blank line between every sentence. Somewhere in the middle there are three arrows, each followed by a lesson. It ends by asking what you think, with an emoji pointing down at the comments.
You know exactly the format I mean, which is the point. It is a template, it is taught by people who sell courses in it, and it works โ in the narrow sense that it produces impressions. Whether impressions produce anything else is a question the people teaching it rarely address, and it is the question this article is about.
LinkedIn is genuinely large; Microsoft's FY2025 annual report puts membership above a billion. It is where most professional hiring in my field starts. I am not going to tell you to delete it. I am going to argue that the standard "build your personal brand" programme is badly calibrated for most people, and that the version that actually helps a technical career costs about a tenth of the effort.
The circular economy of branding advice
Notice who produces the advice. The most visible LinkedIn growth strategists are people whose income depends on LinkedIn reach โ coaches, course sellers, agency founders, freelancers sourcing clients. For them, follower count is not a proxy for career success; it is the product. Their advice is honest and correct for their own situation.
The trouble is that it gets consumed by salaried engineers, analysts and scientists, for whom the economics are entirely different. If you are employed and want to stay employed in a technical role, followers are close to worthless. Nobody has ever been promoted for impressions. What you want from the platform is a small number of specific things: to be findable by people hiring for what you do, to be credible when they land on you, and to have a network that will actually answer a message in two years when you need it.
Those three goals are achievable with an hour of setup and a modest, sporadic habit. The daily-content treadmill is a different product aimed at a different customer.
The metrics are a trap
The measurement advice in this genre is the clearest tell. Track impressions. Track engagement rate. Aim for month-over-month growth. Optimise post format by average engagement.
Every one of those is a platform metric, not a career metric, and optimising them will actively degrade the thing you want. Engagement-optimised content converges on a narrow range of emotionally legible, low-specificity writing โ mild contrarianism, tidy lessons, vulnerability with a business moral โ because that is what gets reactions from a broad audience. Meanwhile the content that actually impresses someone who might hire you is usually the opposite: narrow, technical, unresolved, interesting to two hundred people and boring to everyone else.
I read profiles of candidates regularly. I have never once looked at follower count. What I look for, if I look at all, is whether the person has written anything that shows me how they think. A single well-argued post about a problem in their actual domain does more for them than a year of format-compliant content, and I suspect this is true of most technical hiring managers.
If you want a metric, use this one: in the last six months, how many conversations worth having did the platform produce. That number is usually small and it is the only one that matters.
What actually pays off
Being findable. This is the highest-return work and it is nearly all one-time. Your headline should say what you do in the words someone searching would use, not your internal job title. "Senior Member of Technical Staff II" is unsearchable. "ML engineer, medical imaging" is searchable. Your skills list and the text of your recent roles should contain the terms people actually type. This is not keyword-stuffing; it is making sure the search index has the true information.
Being credible on arrival. A photo, because profiles without one read as abandoned. A summary that sounds like a person rather than a press release. Roles described by what changed rather than what you were responsible for. Links to real work in the featured section. Thirty to sixty minutes, once, then revisit annually.
A network with actual memory. Connection count is irrelevant; the useful property is whether the people in your network would recognise your name and reply. That comes from having worked with them, talked to them, or engaged substantively with something they made โ not from a templated request with a merge field where the compliment goes. Everyone can spot those now, and they are worse than sending nothing because they mark you as someone running a system.
Occasional writing, when you have something. Not on a schedule. When you have genuinely learned something non-obvious, write three honest paragraphs about it. This accumulates slowly into a thing that is hard to fake and hard to acquire quickly: a public record of you thinking about your field. It will not go viral. It does not need to.
The parts people get backwards
Consistency beats quality. This is true for the algorithm and false for your career. Posting three times a week when you have one thing to say means two posts of filler, and filler is what people remember you for.
Vulnerability performs, so be vulnerable. Sharing a real failure you have processed is fine. The genre where a personal hardship is narrated in order to land on a business lesson has become transparent, and it reads as a person converting their own life into content. It costs credibility with exactly the audience you would want.
Niche down relentlessly. Reasonable for a freelancer selling a service. For an employee, over-narrowing your public identity to whatever is currently hot makes you look like a follower of trends, and you will be stuck with it when the trend turns.
Your brand is career insurance. This is the line that sells the most courses and it deserves the most scrutiny. A public reputation does help in a downturn โ but so does a network of people who have actually seen your work, and so does being good at a scarce thing. The hours are finite. I would put most of them into the scarce skill, some into the relationships, and the remainder into the public writing. The recommended allocation in most branding content is close to the reverse.
The AI-generated flood
A large and growing share of what you scroll past is model-generated, and the visible result is a sort of homogenisation โ the same rhythms, the same three-item lists, the same closing question. It is worth saying plainly what this does to the strategy: as generated content becomes free and infinite, the marginal value of generic well-structured content goes to zero. The only things that retain value are those a model cannot produce on your behalf, which are specificity, actual experience, and a real opinion you are willing to be wrong about in public.
If you use a model to help you write, use it the way you would use an editor on a draft you actually wrote โ for structure and clarity โ rather than as the author. Anything where the specific detail is invented rather than remembered will read as hollow, and increasingly, readers can tell.
A proportionate approach
Fix the profile properly, once. Make sure the search terms are honest and present. Connect with people you have actually worked with, and reply when they need something. Write when you have something, and let it be niche. Spend the rest of the time being good at the work.
That is not a growth strategy and it will not produce a follower graph anyone would screenshot. It has the modest advantage of being aimed at the outcome you actually want.
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Taresh Sharan
support@sharaninitiatives.com