Fully Baked #23: Inverse Mentorship

💡 The skills Gen-Z have that everyone wants

🔬 We validated this idea - here's what we found

🚀 The go-to-market playbook for this product

🤑 What do the unit economics look like?

⚔️ How the competitive landscape looks

❓ Our verdict: is this a go or no-go idea

The wise elder shaping the raw young upstart is a time-tested trope. Harry had Dumbledore. Daniel had Mr. Miyagi. Jesse Pinkman had…Walter White, I guess. But today the script has flipped hard: it's Gen-Z who hold the keys. They vibe code a working app in an afternoon, wield ChatGPT and Claude like a second language, and spin up a following on TikTok from a standing start.

The catch is that the older generation - the Gen X professionals and Boomer founders watching all this happen - want these exact skills, but have no real way to get good at them. By mid-2025 only 10% of over-65s had ever used ChatGPT versus 58% of under-30s, and older workers are increasingly told to adopt AI or get left behind. Here's the idea.

An inverse-mentorship marketplace built around their native skills like using AI tools, vibe coding, growing on social media etc.

A user joins and picks a goal - "build my first app with AI", "get fluent in ChatGPT and Claude for my work", "grow my business on TikTok and Instagram" - gets matched to a mentor who lives in that world, and learns by doing it together on a shared screen.

Mentors are rated and reviewed after every session, with one-tap rebooking and saved recap notes. It's building the thing alongside someone who makes it look easy, not watching another course.

Free software powered by a Visa business card - automate reports, set team budgets, see every transaction live

Customers save an average of $10k+ per month and 12 hours of finance admin

94% of users would recommend it to a friend

Certain skills tend to skew younger. By June 2025, ChatGPT had been used by 58% of under-30s but only 10% of over-65s (Pew), and older professionals increasingly face a blunt adopt-AI-or-leave choice at work.

Social media, meanwhile, is a ~$250B creator economy heading for ~$480B by 2027 (Goldman Sachs), where 55% of creators are now full-time business owners - and the people who make it look effortless are nearly all under 30.

The appetite is specific. 67% said they want to get meaningfully better at using AI, 52% want to learn to actually build with AI tools, and 47% want to grow on social. 71% also said they would rather learn it hands-on from someone who lives in it than from a recorded course.

Willingness to pay is healthier than you'd expect. 48% said they'd pay out of pocket, clustering at $50-100 a session - higher than a casual consumer skill, because this feels career- and business-critical rather than nice-to-have.

The sharpest early buyer is the 50-something consultant, marketer or business owner who knows AI and social are now table stakes. Reach them on LinkedIn and in founder and SMB communities with one promise: get genuinely fluent, taught 1:1 by someone who lives in it.

Recruit Gen-Z mentor supply where they already are. Your supply is the product, so go get it on TikTok, campus boards and creator Discords. "Get paid to teach AI, vibe coding and social to people who'll genuinely value it" is the hook.

Meta and newsletters are the early paid ad levers here. Facebook and Instagram let you zero in on professionals and business owners by age, role and interest, and newsletter sponsorships drop you straight in front of the older, AI-curious audience that already reads AI and founder newsletters. Cheap to test, easy to pour fuel on whatever converts.

Turn real wins into shareable before-and-afters - the 55-year-old consultant now building her own tools, the founder who landed their first viral post - and push them across LinkedIn, X and Facebook groups. Proof points do the selling here.

Per-session ($50-100): the platform takes a 20-25% cut. These are career- and business-critical skills, so the price sits closer to professional coaching than casual tutoring.

Skill bundles: multi-session packs around a goal ("ship your first AI app", "90 days to a real TikTok presence") - higher value, prepaid, and they give the learner a finish line.

Target CAC: $20-40 for the professional self-buyer via LinkedIn and Meta, and close to $0 through organic content.

Note: someone might do a handful of sessions to get fluent, but the moment they click with a mentor nothing stops them booking that person directly off-platform. You earn the take rate every single session with scheduling, recaps, learning plans, payments etc., or you bleed users over the long-term.

Free content on YouTube and TikTok: the real competition. The same Gen-Z natives you'd hire are already posting free tutorials on AI, vibe coding and going viral. The wedge here is 1:1, personalised, "do it with me" content.

AI and skills course platforms (Udemy, Maven, Section, ~$50-2,000): structured courses on AI and building, but recorded or cohort-based and taught by billed "experts", not on-demand 1:1 sessions with a young native who does it daily.

GetSetUp (~$20/month): the best-funded platform teaching older adults new skills, raised ~$25M and plateaued around $12M in revenue with headcount shrinking. But it's seniors teaching seniors in scheduled group classes, not 1:1, and not built around these skills.

The gap (and moat here) is built around curation and trust - finding mentors who are brilliant at these skills and brilliant at teaching them.

Have an idea you want feedback on? DM me to discuss it or book in for Office Hours here.

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