The Future of AI in Marketing. Your Shortcut to Smarter, Faster Marketing.

This guide distills 10 AI strategies from industry leaders that are transforming marketing.
Learn how HubSpot's engineering team achieved 15-20% productivity gains with AI
Learn how AI-driven emails achieved 94% higher conversion rates
Discover 7 ways to enhance your marketing strategy with AI.
Build Skills That Pay
Petar Georgiev originally trained to become a Navy officer and ship's captain. He eventually transitioned into a remote software engineering job, building side projects in whatever hours were left over.
He needed a social media scheduler for his own work and tried a handful of options. Some were too expensive. Others were affordable but lacked real functionality, decent UX, or basic speed. Paying for any of them stopped making sense to him, so he decided to build his own instead.
Seeing an unfulfilled need in his own workflow told him others probably had the same one. The market was already proven, since the products he had tried were clearly making money, so there was no real need to validate the idea from scratch. If they could make money in this space, there was no obvious reason he could not.

That became PostFast, a social media scheduling tool now generating more than 5k in monthly recurring revenue. It sits in a genuinely saturated niche, but Petar reached profitability in about half a year.
Here is how he built it, and why he thinks defensibility in an AI heavy market comes from an unexpected place.
Standing Out Inside a Crowded Category
Petar's approach to a saturated market was not to avoid competition but to out execute it on the fundamentals competitors were getting wrong. He made PostFast genuinely easy to use, with what he considers the best UX in the industry, and built it to be noticeably faster than most of the alternatives he had tried himself.
He also solved a specific, unglamorous problem directly: PostFast pre processes every video and image before posting, which minimizes the posting failures to platforms that are a common headache across the industry. That kind of reliability rarely shows up in a feature comparison chart, but it is exactly the thing that keeps a user from churning after the first bad experience.
A Second Attempt, Built on the Lessons of the First
PostFast took a few months of coding, mostly on nights and weekends, and Petar was able to move faster because he reused his own existing template building side projects along the way.
His clearest advice comes directly from experience: build instead of thinking too much. Most people go looking for the best plan or the best book, when their actual biggest blocker is simply building. You can only learn by doing it.
He learned that lesson the hard way. Before PostFast, he spent more than two years building a project behind closed doors, running up constant, expensive GCP costs because he did not yet know about Hetzner as a cheaper alternative. He lost money every month for years on that project, but the experience taught him a great deal. The biggest lesson: ship the product and iterate. Do not wait for the next feature before putting something in front of real users.
The PostFast stack:
Next.js for the public facing site
React for the internal dashboard
NestJS for the backend, split across what is effectively three services
Kafka, Redis, and a handful of supporting libraries
Kafka struggled to handle certain events reliably, so Petar moved many of them over to Redis using BullMQ, which has worked considerably better. He also uses his own product, SendHeron, as the email provider for both marketing and transactional email, another example of using what he has already built to support what he is building next.
The single biggest technical challenge has been parsing, validating, and reformatting images and video. FFMPEG is genuinely difficult to work with. Without AI assistance, it likely would have taken many months longer than it did, and even with that help it still took months to get working properly.
Low Costs, Funded by a Day Job
Financially, Petar did not need much money to get started. Costs stayed low before launch, but rose afterward without immediate revenue to match: accounting, the X API, which is expensive and only getting more so, hosting, domains, and the usual list of small recurring charges. Early on he was spending somewhere between 350 and 400 euros a month across all expenses and taxes. His full time job covered the gap while the business found its footing.
His advice on this front is direct: keep expenses as low as possible. Self hosting is genuinely easy today, and he recommends it. But he warns against leaning on free tools indefinitely, since they eventually bottleneck operations and quietly erode margins once real usage arrives.
SEO as the Channel That Actually Compounds
Petar is candid that marketing is the part of the business he genuinely dislikes. But SEO is the exception, and it is where he gets most, likely almost all, of his customers. In his view it is the best channel available, especially when you start early, because it compounds in a way few other channels do.
His SEO work spans several fronts:
Backlink research and cold outreach to secure backlinks
On site optimization
Alternative and comparison pages
Money pages targeting high intent search terms
Building small tools that attract links and traffic on their own
Real results from SEO typically take months to show up, sometimes half a year or more. Even with his own skills and background, the process demands significant time and money, because his niche is heavily blocked by industry giants with two decades of accumulated authority. Competing for the money keywords in Google against that kind of head start is genuinely hard, and he does not pretend otherwise.
Outside of SEO, Petar tried the standard launch playbook: directories, Product Hunt, building in public, and a real attempt at going viral. None of it worked for him. He picked up a handful of customers from X, one of whom is still a power user today, but that is roughly the extent of what that channel produced.
The one other tactic that genuinely moved the needle was changing his pricing. His initial prices were quite low, and raising them increased revenue and, counterintuitively, brought in more customers rather than fewer.
"People often think low prices indicate a bad product, especially cold leads coming from SEO. Raising prices brought in more customers, not fewer."
The Small, Human Stuff Is What Counts
Petar writes personal emails manually to each customer and still answers support questions himself. Support tickets rarely wait more than a few hours for a reply, and that responsiveness builds real trust over time.
Even when he cannot fix an issue immediately, he still replies, reassures the customer that he is working on it, and follows up once the fix actually ships. It is a simple habit, and he credits it directly with how much trust the business has built with its user base.
Build Something That Cannot Be Vibe Coded
Petar's core advice for anyone entering a crowded space is to learn SEO and specifically target niches where giants already dominate. Large incumbents often struggle to ship quickly, which leaves real room to grab a piece of the market underneath them.
But the more important piece of advice is about defensibility. Find something Claude cannot easily build from a simple prompt. Without a real moat, a product is dead in the water the moment someone decides to copy it.
His own example is concrete. Platform approvals for PostFast now take 20 to 30 days each, and rejections add another 20 or more days on top of that, making the whole process slow and genuinely annoying. Without those approvals, you cannot post to certain accounts at all. So while the codebase behind PostFast could technically be vibe coded, the surrounding infrastructure, the approvals, the platform relationships, the operational grind, cannot be. That underlying complexity is precisely what makes the whole thing not worth attempting casually, and it is exactly the kind of moat a fast moving AI competitor cannot simply prompt its way past.
What Comes Next
Petar recently launched Social Inbox, which lets users fully manage social interactions, comments among them, directly inside their ChatGPT or Claude interfaces, or through their own n8n automations.
From here, he plans to keep iterating on PostFast while waiting out a few more platform approvals, increasing API usage, and building an even stronger backlink profile to compete for the gated niche keywords that have proven hardest to crack. He may launch a few more products, since he is already using one internally, SendHeron, but those remain secondary for now. Their purpose is to strengthen PostFast's scale, not to become standalone businesses in their own right.

