Linkify.ai – why and for what purpose?

My name is Kirill Grinkevich, and in this text I want to simply, humanly explain what Linkify.ai is, why we even took this on, and where we want to get. Without the hype about “revolutions” and other favorite startup buzzwords. For the past many years I've been living in marketing and advertising in one way or another. First there were offline projects, an advertising campaign, then a coworking space, the “Dodo Pizza” franchise, various services, and alongside that the perpetual story of traffic, ads, and affiliate programs. At some point I accumulated enough pain to honestly admit to myself: affiliate marketing works, but it's extremely exhausting if you do everything manually. If you've ever tried to earn money from affiliate programs yourself, the picture looks roughly like this. You need to find a suitable offer, check the terms, select products, carefully insert referral links into the text, keep readability intact, not violate the ad platform's rules, not get lost in tags, and then also track which links have died, which products are out of stock, where prices have changed, where clicks were lost. Doing it once is one thing. Doing it systematically across dozens of pieces of content—in a blog, newsletters, video scripts, AI dialogues, in multiple languages and for different countries—is entirely another. At some point I caught myself thinking that there is already plenty of AI around that helps write and edit texts, come up with video ideas, generate images, take on pieces of a marketer's routine, but a proper “smart layer” for honest content monetization is missing. Either services are heavily tailored to a single format, or they operate on the principle of “sprinkling everything with links”, or they exist in the gray area of shady schemes. Thus the idea of Linkify.ai was born. To put it simply, we want to build a service that turns content into revenue, but without magic or deception. The author writes what they want to write. We overlay that content and help add affiliate links that are truly relevant and useful, subtly for the reader but honestly for all participants. I'm not alone in this story. My brother Dmitry has been handling traffic and affiliate programs for many years. Plus we have developers and folks we've already worked with on other projects. Together we understand two things: what daily marketing routine looks like and what requirements and constraints large affiliate programs and advertising platforms impose. It's important to us not just to “make money now”, but to build something that won't collapse after the first rule change by a major player. From a technical perspective the idea looks like this. Content comes in many forms: text, video, posts, scripts, AI dialogues, voice formats. Everywhere there is a moment when a person reads, listens, or watches and becomes ready for the next step: view a product, compare options, save to favorites, order a service. That point is the moment of intent. Our task is to teach the system to sense that moment, locate it in the content, and select an appropriate offer from affiliate programs. Moreover, not just any offer, but one that fits the topic, price, geography, availability, and program terms. Around this we are building several major components. There's a module that understands content and intent. There's a module that selects offers and monitors their relevance. There's a short‑link and redirect module to shield tags, track clicks, and avoid reliance on browser quirks and blockers. All of this should operate transparently, without weird redirect chains, without deceiving the user, and within affiliate rules. To be honest about our stage, we're not a “unicorn” yet, just a normal, living early‑stage startup. The project is self‑funded, with no external investment. We have a working prototype that already can analyze content and place links. We have initial integrations with affiliate programs. We've spent a lot of time not on flashy presentations, but on figuring out exactly where clicks are lost, how tracking breaks, what wording and technical details affiliate networks and stores consider. There are also plenty of constraints. We don't have an “unlimited” development budget. The people on the team are real, many have other jobs and obligations in parallel. Because of this we have to be very strict about what to do now and what can wait. Sometimes it's painful because we want everything at once: a perfect interface, cool AI features, dozens of integrations. But in reality we have to trim, choose a basic core, and move step by step. Why am I writing all this and why in this tone? Because it's important to me that people who understand what they're getting into gather around Linkify.ai . This isn't a story about quick money and pretty reports. It's a story about a rather complex intersection: artificial intelligence, affiliate marketing, tracking, content infrastructure, and the strict rules of major platforms. If that scares you or seems boring, we probably aren't a match. If, on the contrary, you've spent nights placing referral links, cursed strange bans, dug into reports and thought “why isn’t there a service that does this properly yet”, then we might be on the same path. My goal for the coming years is fairly down‑to‑earth. Bring the product to a state where it can be used without explanations or lengthy manuals. Connect several large affiliate networks and make sure authors actually see a difference in their earnings. Gradually grow a team that doesn’t just “complete tasks” but shares the project's logic and values: white‑hat schemes, respect for users and platform rules, focus on clear results rather than a fancy interface. We're only at the beginning of the journey. I don't know exactly how everything will unfold, what twists await us, or how quickly we'll get through each stage. But I do know that the problem we've taken on is real. And if we solve it well, everyone wins: content creators, advertisers, affiliate networks, and, of course, us. If this resonates with you, you see yourself in this story and want to join the project not as “just another job” but as a collaborative venture, write to me. I’ll tell you what has already been done, where we’re stuck, and what tasks are on the table right now.