We’ve been building this for about two and a half years and it’s been live for a year now. It’s an AI pipeline that creates full training courses end to end, not just outlines but slides, transcripts, quizzes, and voiceovers. Right now it can spin up about an hour of content in five minutes or 10–15 hours in around twenty minutes. We do have paying customers so it’s not just an experiment, but growth has been slow. We’re not the Stanford dropout story with $10M in VC behind us, and I’m not a Forbes 30 under 30 founder waiting to be sentenced for fraud either. We're just a small team trying to push this forward. The pattern so far has been companies say they want it, we run demos, some sign on, but most never convert, and sales cycles are long (3+ Months).
So I’m trying to figure out where this kind of capability actually fits best. Is it corporate training, higher ed, certifications, consumer learning? If you can generate effectively infinite training on demand, how do you convince people it’s not junk content? I’ve reviewed thousands of hours myself and even run AI checks outside the platform, (I have built courses the old fashioned way for UCSD, the USAF Innovation labs, and Northrop Grumman) and the material is solid, but that alone hasn’t seriously moved the needle. If you were bootstrapping or running on a tiny seed budget how would you approach growth without leaning on the hype machine? I’d really like to hear from people who went through the GTM struggle and came out the other side.
Thanks.
_wire_•1h ago
ESibio•9m ago
In reality, most of the basic concepts of things you want to learn can be done in a beginner level course, which is around an hour and we can make them in around 5 minutes. In example, you want the core understanding of Never split the difference by Chris Voss, you can take a one hour course and save yourself about 7 hours if you typically use audible, and better understand the material because of the quizzing we do in each module.