Two founders, zero funding, and a bet that career advice shouldn't feel like astrology
Quick backstory: we kept noticing the same pattern. Friends stuck between majors. People three years into a job they never wanted, still not sure what they're actually good at. Every "solution" they'd tried was the same — a quiz, a label, a PDF that collects dust.
We didn't think the problem was self-awareness. We thought the problem was that nothing turns self-awareness into a plan.
That's what we're building with PotenAI. You go through a structured assessment (10 minutes, not a chore), our AI analyzes the actual pattern in your answers, and instead of handing you a personality type, it hands you a roadmap — real next steps for your education, career, or business idea.
Where we're at: pre-launch, bootstrapped, building the waitlist and the product in parallel. One of us is heads-down on the AI/product side, the other on marketing and getting early users in the door.
Things we're actively wrestling with:
keeping the AI output specific instead of "you're a hard worker who likes people" vague
pricing — freemium feels obvious but we haven't locked the paywall line yet
whether our first real users should be students or career-changers
If you've built anything in assessments, EdTech, or just have opinions on AI products that give advice — we'd genuinely like to hear them.
The insight that "nothing turns self-awareness into a plan" is sharp. Career tests spit out a label and call it done. The roadmap part is the actual product — and the part that's hardest to nail because it requires you to be right about someone's next six months, not just their personality type.
One thing I'd watch out for: a 10-minute assessment that generates a personalized roadmap sets a very high bar for perceived accuracy. If the roadmap feels generic, users won't blame the roadmap — they'll blame the assessment and not come back. The companies that win in this space (CliftonStrengths, etc.) spent years on validation before anyone saw the output.
Bootstrapped pre-launch with no funding is the right way to build this — you need to learn what "a plan" actually means to users before you scale anything. What's the first thing you're measuring once the waitlist opens?
The student vs career-changer split is actually revealing something bigger about your TAM. Students are still building identity - advice is exploratory, low-stakes. Career-changers have already paid a cost (months lost, misalignment proven). They have urgency AND budget.
If I had to choose one: career-changers probably convert 3-5x higher because they've already validated the pain through lived experience. Students need to be convinced the pain is real first.
One test worth running: target people who've just quit a job or are 6 months into post-graduation regret. That's where real willingness to pay lives.
The line that stood out to me was that the problem isn't self-awareness, it's turning self-awareness into a plan.
I'd go one step further: the gap between knowing and doing quietly grows over time. Every day without a clear next step makes it a little easier to question what you already know about yourself.
Helping people cross that gap feels more valuable than helping them understand themselves a little better.
The interesting decision seems to be choosing the first user segment: students or career-changers.
What would convince you that one group has a stronger urgency and willingness to act on a career roadmap, rather than both being equally interested but difficult to convert?