#Go-to-Market
Articles about Go-to-Market — exploring patterns, best practices, and real-world implementations in production systems.
13 posts tagged with go-to-market. ← All posts
I'm opening up my consulting, focused on forward deployed engineering for AI and technical teams. Here's the work I'd love to help with — and why it matters to me.
I'm opening up my consulting, focused on forward deployed engineering for AI and technical teams. One of the most remarkable things about this moment in AI is how quickly an idea becomes a convincing demo — and the most meaningful work is turning that demo into dependable value inside a customer's real environment. Here's the work I'd love to help with, and why it matters to me.
The best outcome of a consulting engagement isn't that the consultant becomes indispensable — it's that the team no longer needs them. Here's the mindset that gets you there, and why it's the right way to do forward-deployed work.
The best outcome of a consulting engagement isn't that the consultant becomes indispensable — it's that the team no longer needs them. The multiplier mindset — amplifying a team's capability instead of creating dependency — is both the more honorable goal and the better business, and it's the heart of forward-deployed work done well.
A practical blueprint for founders and GTM leaders: when to start forward deployment, who to hire first, how to scope engagements, what to measure, and how to keep it from eating your margins.
A practical blueprint for founders: when to start forward deployment, who to hire first, how to scope engagements, what to measure, and how to keep it from eating your margins — plus the four failure modes (agency, hero, science-project, over-serving) and a 90-day start.
Forward deployment that isn't run as a disciplined function becomes an unscalable custom-dev shop. The Forward Deployed Leader owns the motion as a business — the team, the scoping, the economics, and the decision of what becomes product.
Forward deployment that isn't run as a disciplined function becomes an unscalable custom-dev shop. The Forward Deployed Leader owns the motion as a business — team design, scoping discipline, unit economics, and the decision of what becomes product — and names the invisible trap: it feels like success right up until the margins invert.
The forward deployed engineer gets all the attention, but forward deployment is bigger than one role. It's a go-to-market operating model with three layers — build, scale, run — and seeing the whole stack is how AI companies turn embedded engineering from a heroic cost center into a repeatable engine.
The forward deployed engineer gets all the attention, but forward deployment is bigger than one role — it's a go-to-market operating model with three layers: build (engineer), scale (architect), run (leader). Seeing the whole stack is how AI companies turn embedded engineering from a heroic cost center into a repeatable engine.
Without measurement, GTM is guessing — you can't tell a channel that works from one that flatters you, a healthy business from one quietly bleeding, or whether your last change helped. But GTM measurement has a trap engineers fall into from the opposite side: drowning in dashboards of vanity metrics that feel rigorous while missing the two or three numbers that actually decide whether the business works. This closing post is about measuring what matters — and the unit economics that separate a real business from an expensive way to lose money.
Without measurement, GTM is guessing — but the engineer's trap is drowning in dashboards of vanity metrics that feel rigorous while missing the two or three numbers that actually decide whether the business works. This is about measuring what matters — and the unit economics that separate a real business from an expensive way to lose money.
A launch feels like a finish line — the day you finally ship to the world — but it's actually a starting line, and the most dangerous myth in go-to-market is that a big launch equals success. Most durable companies weren't made by a viral launch day; they were made by the unglamorous work of getting a few early customers to genuinely succeed, then carefully expanding from there. Adoption is a curve you climb, not a switch you flip, and the hardest part of that curve is the gap that kills more products than any competitor.
A launch feels like a finish line, but it's actually a starting line — and the most dangerous myth in go-to-market is that a big launch equals success. Adoption is a curve you climb, not a switch you flip, and the hardest part of that curve is the chasm that kills more products than any competitor.
You can have the right customer, sharp positioning, the right motion, and smart pricing — and still sell nothing, because no one knows you exist. Demand generation and channels are how you solve the awareness problem: getting the right people to discover you, and moving them from "never heard of it" toward "customer." For technical builders this is the least intuitive part of GTM, because it can't be reasoned out at a desk — it's found by testing where your customers actually are.
You can have the right customer, sharp positioning, the right motion, and smart pricing — and still sell nothing, because no one knows you exist. Demand generation and channels are how you solve the awareness problem, and it can't be reasoned out at a desk — it's found by testing where your customers actually are.
Pricing is the single highest-leverage number in a business — it directly sets revenue per customer, funds everything else, and signals value more loudly than any marketing — and it's the decision teams agonize over least and get wrong most. Engineers in particular tend to price by intuition or by cost-plus, when the real question isn't "what did it cost us to build?" but "what is it worth to the customer?" Getting pricing and packaging right is often the difference between a viable business and a struggling one.
Pricing is the single highest-leverage number in a business — it directly sets revenue per customer and signals value more loudly than any marketing — and it's the decision teams agonize over least and get wrong most. The real question isn't 'what did it cost to build?' but 'what is it worth to the customer?'
Two companies can sell similar products to similar customers and organize their entire businesses completely differently — one built around a self-serve signup button, the other around a team of salespeople and six-month deals. That difference is the GTM motion, and it's not a tactic you tune later; it's a structural choice that determines your pricing, your hiring, your unit economics, and your whole company shape. Choosing the wrong motion for your product and customer is one of the most expensive GTM mistakes there is.
Two companies can sell similar products to similar customers and organize their entire businesses completely differently — one around a self-serve signup button, the other around salespeople and six-month deals. That difference is the GTM motion, and it's a structural choice, not a tactic you tune later.
Positioning is the answer to a question every customer asks in the first five seconds: "what is this, and is it for me?" Get it right and everything else — your website, your sales pitch, your ads — writes itself and lands. Get it wrong and no amount of clever marketing compensates, because you're fluently communicating the wrong thing. Positioning is the most leveraged and most neglected decision in go-to-market, and engineers get it wrong in a predictable way: by describing what they built instead of what it's for.
Positioning is the answer to a question every customer asks in the first five seconds: 'what is this, and is it for me?' Engineers get it wrong in a predictable way — by describing what they built instead of what it's for. It's the most leveraged and most neglected decision in go-to-market.
The most expensive mistake in go-to-market is the most tempting one: trying to sell to everyone. "Our market is anyone who needs X" feels ambitious, but it's a recipe for a message that resonates with no one, a product spread too thin, and marketing spend sprayed at people who'll never buy. The counterintuitive truth is that the way to a big market is through a small, specific one — and defining that specific one is the first real work of GTM.
The most expensive mistake in go-to-market is the most tempting one: trying to sell to everyone. The counterintuitive truth is that the way to a big market is through a small, specific one — and defining that specific one is the first real work of GTM.
Engineers are trained to believe that a good enough product wins on its own merits. It doesn't. The graveyard of technology is full of superior products that lost to inferior ones with a better go-to-market strategy — a clearer answer to who the customer is, why they'd buy, and how they'll ever hear about it. Building the thing is half the job; getting it to the people who need it is the other half, and it's the half engineers most often neglect.
Engineers are trained to believe a good enough product wins on its own merits. It doesn't. The graveyard of technology is full of superior products that lost to inferior ones with a better go-to-market strategy — a clearer answer to who the customer is, why they'd buy, and how they'll ever hear about it.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.