TL;DR: LectureNotes AI, the note-taking app I co-founded with Benjamin Rhodes, hit around 15 million organic Instagram views in two months and grew to nearly 10,000 users with roughly $1k MRR, and we did it without spending on ads. This is the honest retrospective: what actually drove the reach, what the views did and did not translate into, and the lessons I would carry into the next product. It is less a growth-hack list and more what I learned watching a real app go from zero to a crowd, fast.
I spend most of my time now engineering AI voice agents and software for US, UK and European startups, but the product that taught me the most about distribution was one of my own. LectureNotes AI records lectures, summarizes the takeaways, and builds clean outlines for students. The engineering was the part I was comfortable with. The surprise was how much the growth mattered more than the code, and how quickly organic reach could dwarf anything a small team could do by hand.
What LectureNotes AI actually is
The product is simple to describe, which turned out to matter. A student opens the app, records a lecture, and gets back a summary, the key takeaways, and a structured outline they can study from. No setup, no manual note-taking, no fighting with a transcription tool that spits out a wall of text. The value lands in one sentence, and a student feels the pain it solves every single week.
That clarity is the foundation of everything that follows. You cannot grow a product organically if a stranger has to think for ten seconds about what it does. The best thing we did before any marketing was make the core loop obvious: point the phone at the lecture, get usable notes back. Everything about the reach later was downstream of that.
How the 15 million views actually happened
The reach came from short-form organic video, not paid ads and not a clever launch stunt. Two months, roughly 15 million views on Instagram, and the pattern behind it was not magic. It was matching the content to the exact moment the product mattered.
Show the pain, not the product
The videos that worked were not feature tours. Nobody shares a screen recording of a settings menu. The ones that traveled showed the student's actual problem, the 8am lecture you cannot keep up with, the exam you are cramming for, the notebook that makes no sense the night before a test, and then the app quietly resolving it. The product was the punchline, not the premise. When the hook is a feeling every student recognizes, the algorithm does the distribution for you.
Volume and iteration beat any single "viral" idea
No one on the team could predict which post would take off. Some did nothing and some did numbers we did not expect. The only reliable move was to keep posting, watch what resonated, and make more of that. Reach at this scale is not one perfect video. It is a lot of attempts, honest attention to which ones stuck, and the discipline to repeat the winners instead of chasing a new format every week. That is the same principle I lean on shipping software: ship, watch, iterate, do not fall in love with the first idea.
The audience was already gathered
Students are one of the most concentrated, self-identifying audiences on short-form video. They follow study accounts, they share things with classmates in group chats, and they are online at exactly the hours the product is most useful. We did not have to manufacture an audience. We had to speak clearly to one that was already there and already had the problem.
The gap between views and revenue
Here is the part most growth stories skip, and the most useful lesson in this whole piece. Fifteen million views is a huge number. It became about 10,000 users and roughly $1k MRR. Those are real numbers I am proud of, but the ratio is the education.
Views are not users, and users are not revenue. Every step down that funnel loses people, and the losses compound. A view is a second of attention. A user is someone who downloaded, opened, and got value at least once. A paying user is someone for whom the value was worth a recurring charge. Each of those conversions is its own product problem, and no amount of top-of-funnel reach fixes a leak further down.
If I were doing it again, I would spend as much energy on the path from view to paid as we spent on the path from stranger to view. The reach proved the demand existed. Converting that reach is a separate, unglamorous discipline: onboarding that gets a student to their first good set of notes in under a minute, a paywall placed at the moment value is felt rather than before it, and retention that keeps them through the next exam season. The virality was the easy part to be surprised by. The funnel is where the real work sits.
What I would carry into the next product
A few lessons from LectureNotes AI have stuck with me and now shape how I think about any product, including the ones I build for clients.
Distribution is a product feature, not a phase. I used to treat marketing as something that happens after the build. It is not. The shareability of the core moment, how easily a happy user can show a friend, is a design decision you make while building. Bake it in early.
A sharp niche outperforms a broad one. "Notes for students" spread precisely because it was narrow. It knew exactly who it was for and what week of their life it fixed. A vaguer "productivity app for everyone" would have had no natural audience to catch fire in. This is the same lesson I learned getting freelance clients, which I wrote about in going from the ICPC World Finals to US clients: specific beats broad, every time.
Speed compounds. We could post, read the response, and adjust in days, not months, because the team was small and the loop was tight. The same bias toward shipping fast is why I can take a client's idea and have something real in front of users quickly. It is the through-line in everything I build, from products of my own to the AI voice agents I ship for startups now.
Honest numbers teach more than vanity ones. The 15M is the headline, but the 10k users and $1k MRR are where I actually learned. I would rather tell a founder the real ratio than a round number that flatters the story, because the ratio is the thing they can act on.
Would I chase 15 million views again?
Yes, but with clearer eyes. Organic reach at that scale is a genuine advantage, and for a bootstrapped product with no ad budget it can be the difference between existing and not. It validated that students wanted this, cheaply and fast, and that validation is worth a lot when you are deciding what to build next.
But I would not mistake the reach for the business. The views told us the demand was real. Turning that demand into a durable product, one people keep paying for after the exam is over, is the harder and more valuable problem, and it is the one I would put first next time. If you have a product with real pull and a funnel that is leaking underneath it, that gap is usually where the growth actually is.
I build products and software for founders, and AI voice agents for startups across the US, UK and Europe. If you have an idea that needs to get in front of real users fast, book a call.