800+ signups in 3 weeks
100% organic. X + Reddit + TechCrunch coverage.
Based in Brussels. Running growth experiments for AI startups across Belgium and beyond. Writing AfterSeed — strategies that work pre-Series A.
Snapshot
About
Software developer turned growth marketer. Based in Brussels, working with early-stage AI startups across Belgium — Brussels, Antwerp, Ghent, Leuven, and beyond.
I help founders find repeatable growth before Series A.
Results so far:
800+ signups in 3 weeks, 100% organic (X, Reddit, TechCrunch).
4× LinkedIn impressions. Response rates from 2% to 30% at Drebbel.
150+ newsletter subscribers in 2 weeks.
14.2K impressions in 3 days from a fresh X account.
I write AfterSeed — a weekly newsletter breaking down growth strategies from the fastest-growing AI companies. What they're doing, why it works, how you can use it.
Available as a freelance growth marketer or fractional head of growth for pre-seed and pre-Series A startups — in Belgium or anywhere in Europe.
Results
100% organic. X + Reddit + TechCrunch coverage.
4× LinkedIn impressions. Fixed positioning + follow-up systems at Drebbel.
Fresh X account from scratch. 150+ newsletter subs in 2 weeks.
Blog
The first 1,000 users almost never come from a single channel. Here's how to run fast experiments across organic, outreach, and community.
A practical framework for choosing your launch approach, picking channels, and building early traction.
The fractional growth model is becoming the default for early-stage startups. What to expect and how to find the right person.
Technical founders build great AI products but struggle with marketing. The no-BS guide from zero to traction.
Why the best AI products sell themselves — and how to build growth loops into your product from day one.
How to get users, build traction, and grow your B2B SaaS without spending a cent on ads.
What to focus on before Series A when you have no budget, no team, and no brand.
Most founders track too many metrics or the wrong ones. Here are the numbers that predict growth.
How to build authority, drive organic traffic, and convert readers into users with content.
The systems behind cold email and LinkedIn campaigns that actually get replies and close deals.
View all posts →FAQ
A growth marketer for AI startups designs and runs experiments across acquisition channels — organic content, cold outreach, product-led loops, and paid campaigns — to find repeatable ways to grow users and revenue before Series A. This includes go-to-market strategy, user acquisition, activation optimization, and building scalable growth systems tailored to the unique challenges of AI products.
Belgium's startup ecosystem — centered around Brussels, Antwerp, Ghent, and Leuven — has a growing pool of growth marketing talent. Look for marketers with hands-on experience running experiments at early-stage startups, not just strategy consultants. Adriana Sobota is a growth marketer based in Brussels who specializes in AI startups across Belgium and works with founders from pre-seed through Series A.
AfterSeed is a free weekly newsletter that breaks down the smartest growth strategies, frameworks, and experiments from the fastest-growing AI startups. Each edition covers what top AI companies are doing to acquire users, why their tactics work, and how early-stage founders can apply these strategies to their own products.
The most effective AI startup growth strategies combine product-led growth with targeted content and community building. This includes leveraging technical content to build authority, using free-tier or freemium models to drive organic adoption, running systematic cold outreach campaigns, building referral loops, and creating viral demo experiences that showcase AI capabilities.
Yes. While based in Brussels, Belgium, Adriana works with early-stage AI startups globally. Most clients are pre-seed to Series A AI companies across Europe and North America. She works remotely and collaborates across time zones.
A fractional head of growth is a senior growth marketer who works with your startup part-time — usually a few days a week — instead of joining full-time. For pre-seed and Series A AI startups, this means you get an experienced growth lead who can build your acquisition engine, run experiments, and set up scalable systems without the cost of a full-time VP-level hire. It's the most common way early-stage founders get senior growth expertise before they can justify a full-time role.
The first 1,000 users almost never come from one channel. Most successful AI startups combine a few approaches: sharing genuine insights on X and LinkedIn to build an audience, posting in relevant Reddit and community forums where their users already hang out, doing targeted cold outreach to ideal customers, and sometimes getting a lucky press hit. The key is running small, fast experiments across 3-4 channels and doubling down on what works — not waiting for a single viral moment.
There's no single best go-to-market strategy — it depends on whether you're B2B or B2C, horizontal or vertical, and what stage you're at. That said, the AI SaaS products growing fastest right now tend to combine a strong free tier or demo experience with content-driven distribution. For B2B, that often means product-led growth paired with targeted outbound. For B2C, it's usually community-first distribution and viral sharing loops built into the product itself.
AI products have a few unique growth challenges. Users often don't understand what the product actually does until they try it, so activation and onboarding matter more than in traditional SaaS. The "AI wrapper" perception means you need to clearly communicate your defensibility. And because AI capabilities are evolving fast, your positioning needs constant updates. On the flip side, AI products often have natural viral loops — shareable outputs, demo moments, and wow-factor experiences that spread organically.
Absolutely — and it's actually a strong background for the role. Engineers who move into growth bring technical skills most marketers lack: the ability to build internal tools, automate workflows, run data analysis, and understand product architecture deeply. The learning curve is mostly on the marketing side — copywriting, positioning, channel strategy, and understanding user psychology. Many of the best growth marketers at top tech companies started as engineers.
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