What up guys, its Friday

Did you know 87% of adults say school never taught them how to handle money?

Smells like opportunity.

In Todays Edition, TL;DR

  • An AI platform where kids run a real businesses and learn financial literacy

  • AI agents that simulate your influencer deal before you sign it

  • A 19 year old sold a nutrition app for ~$100M

  • Anthropic's CEO says learn a trade.

The Friday Idea

💡 VentureAI, a platform for kids to own their own business.

The Problem: So 87% of American adults say high school left them unprepared to handle money. 68% of teens say they'd take a financial literacy class if offered. Only 31% have access to it.

The system's fix? A personal finance semester in your sophomore year of college… yea that should do it.

And what does exist?

  • Stock Market Games, Quizlet, and Simulations with progress bars and milestones that feel like homework in disguise. Nobody has built a world where a kid is the entrepreneur.

P.S. did you know the gamification in education market is expected to reach $14.3B by 2030?

The Solution: An AI platform where kids and teens get their own business and learn financial literacy and entrepreneurship.

“Imagine Roblox and Dave Ramsey had a kid.”

On this AI platform, kids pick what they want to run. A lemonade stand, food truck, sports card resale, etc. Every week theres real decisions like pricing, inventory, advertisement, reinvestment. The concepts arent taught theyre experienced. A kid who blows their money on fancy store decorations will learn better than any textbook could teach.

As kids get older, the platform grows with them. Deeper mechanics. Real market simulation. More complex financial instruments. The same kid who started a lemonade stand at 8 is running a multi business portfolio at 14.

The Business Model:

  • Parents pay $9.99/month or $79/year with Weekly dashboard summaries

  • Schools pay $1,500–$4,000/year. Over 20 states now mandate financial literacy education. Districts have to buy something.

The Exit:

This isnt just a product, this is an acquisition target we’re building, lets say you built and scaled this app, some potential buyout options could be:

  • Duolingo, Khan Academy, Prodigy: buying engagement data and K-12 distribution

  • Greenlight and Copper: teen banking apps that need a game layer to make kids actually care about money

How To Build This (In A Weekend)

Alright, this is an idea where nobody builds the full vision on day one. In fact, this is a 3-5 year timeline for the product to be 100% built. But we included our cliff notes version of the roadmap for building this idea.

🧰 If you want a full build guide, check out the Build and Prompt Guide for this idea.


Phase 1: Validate the loop (months 1–5, under $1,000)
No developer. No game engine. Build the whole thing in Base44 or Replit, we built a basic MVP, no backend or game logic though, (the site and prompts are in the guide.)
The stack:

  • Base44 or Replit for the simulation

  • Claude or ChatGPT API for Nova the AI advisor

  • Softr for the parent dashboard

  • Stripe for subscriptions


Phase 2: Build deeper mechanics (months 6–12, $10K–$40K)
Move into GDevelop, its free, no code, isometric 2.5D. Same logic, now wrapped in a visual world. Asset packs from GDevelop and itch .io cover the visuals for under $500. Add classroom mode here, teacher dashboard, class codes, standards alignment doc. Without it you're a consumer app. With it you're an institutional product.


Phase 3: Make it beautiful + grow (months 13–24, $15K–$50K)
Commission original pixel art. Add sound design. Launch Meta ads targeting parents at $50/day. Ad idea, screen record the gameplay and overlay "my kid learned more about money in one week than in a year of school." Scale when the numbers work.

Phase 4 — Institutional scale (year 3+)
Sell to districts not teachers. A 20+ school district at $750/school = $15K annual contract. (just spitballing numbers here)


🍒 Cherry on top, The future no one has built yet:
Advanced version: kids type their actual decision, consult Nova, and the AI generates a custom outcome unique to their thinking. The game becomes a personalized financial mentor.

Napkin Note Ideas

💡 The Idea: You plug in your business data and a creator you want to work with. AI agents simulate thousands of synthetic users moving through your funnel. The simulation spits out three numbers: the price where you're almost guaranteed ROI, the price where it's a coin flip, and everything in between. After the deal runs, real data feeds back in and the model gets smarter. Every deal trains the next prediction.

The Problem: Cal AI paid Mr. Beast $500K for an ad. someone asked if it was profitable. His answer: "Probably." That's the state of influencer attribution in 2025. There is no reliable way to know if a creator deal is worth signing before you sign it.

'“A trillion dollar industry running on gut feelings and UTM links.”

The Business Model:

  1. Charge per simulation at the low end: $499 a run for self serve brands.

  2. Mid tier is a monthly subscription around $2,500 for unlimited simulations plus the post deal feedback loop.

  3. Enterprise is where the real money is, $15K to $50K a year for agencies managing millions in influencer spend.

A shop running $10M in annual creator deals would pay $50K without blinking if the model improves their ROAS. That's a 0.5% fee on spend — cheaper than any media buying commission ever charged.

Weekly Gems Worth Reading

📱19 yr old sells an AI nutrition app called “CalAI” for $100M+

Reportedly, in Jan 2026 they did $5mil in revenue and are doing $50M ARR, heres a full interview on how he did it.

🖥️ Here’s one of the most complex open source Github projects, its like the CIA + Palantir had a baby and was available for anyone: WorldMonitor.app

🧑‍🎨 Heres one of the coolest digital portfolios Ive seen, could be used for a resume, showcasing apps, past ventures, etc. http://sutera.ch

The CEO of Anthropic just drop a bombshell of an interview and shows what jobs will survive AI. Not software engineers, not designers, not analysts. But rather plumbers, farmers, electricians.

Funny enough, the company building the AI is telling people to learn a trade, heres a tweet that sums it up. 👇🏻

Anthropic released the chart above covering the AI labor debate.

The blue area is every task AI could theoretically do right now. The red area is what people are actually using it for. The gap between them is enormous…


Computer programmers are already 75% covered. Customer service reps, data entry workers, financial analysts are next. But here's what nobody is talking about. The mass layoffs haven't started yet. Hiring for workers aged 22–25 in AI exposed jobs has quietly dropped 14%. Companies aren't firing people. They're just closing the front door.

The red area on that chart is still a fraction of what's possible. Every month it grows a little. Anthropic built the scoreboard. Most people haven't looked at it yet.

See Ya Next Week

Alright, that’s a wrap for this week.

What a crazy week, startup ideas around financial literacy, brands can't measure ads, and a 19 year old selling an app for 9 figs…

Gotta start cooking on the next issue,

We’ll Talk Monday.

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