Blanket tips that ignore the person
"Learn Python." "Be adaptable." Advice that never looks at their coursework, projects, or real stack. Noise with a friendly tone.
SeedUpdated August 2026
Dilly turns changing job demand into demonstrated, AI-ready ability. It shows verified college students what employers need, guides field-specific work, and connects the finished proof to relevant jobs. App Store product and Stripe billing are live. The Skill Engine is in private beta.
I'll walk a real student profile live: where AI is changing their field, the skill worth building next, and the guided work that creates a professional artifact. Or download the live app yourself. .edu required.
What's verifiable today
These are supply-side and execution numbers. We're explicitly pre-revenue. The first demand-side numbers, downloads, paid conversion, week-4 retention, are what this round funds.
The problem
Students know AI is eating the first rungs of the ladder. The market answers with doom reports and career tools that feel useful once, then go quiet. Two failure modes keep showing up.
"Learn Python." "Be adaptable." Advice that never looks at their coursework, projects, or real stack. Noise with a friendly tone.
Long static diagnostic dumps. Read once, feel behind, close the app. Churn is baked into the format.
Dilly is not another report about falling behind. It is the daily workbench to stay ahead, and a career defense ledger for the AI era.
Bottom line
The kill shot
ChatGPT, Handshake, and resume AI stop at answers, inventory, or polish. Dilly turns real job demand into work students can demonstrate.
Same answer for everyone. No living profile. No proof. No habit.
Job boards and career-center software. Inventory, not judgment. No daily execution.
One PDF, then silence. Invented bullets. No field read against AI.
Job demand becomes guided work, a professional artifact, and proof connected to relevant roles.
The thesis: Dilly turns changing job demand into demonstrated, AI-ready ability.
The engine
Dilly starts with real job requirements, maps them to the AI capabilities students need, and guides students through field-specific work that creates proof.
The result is not another completed course. It is a demonstrated skill connected to the jobs a student wants.
Dilly reads the skills, tools, and responsibilities employers ask for.
Students build a field-specific AI capability, not generic prompt knowledge.
They research, use AI, verify claims, make decisions, and create a professional output.
The finished artifact becomes evidence connected to the skill and relevant jobs.
The Context Graph personalizes the work. Daily moves bring students back. The Skill Engine creates the evidence.
What is shipped
Observable in production today: App Store binary, nightly job ingest, Stripe checkouts, interactive Profile, Forecast, Scout, Craft, Home Moves, and a Truth Ledger that maps every resume bullet back to a profile fact. The field-specific Skill Engine is in private beta. Parent-Sponsored Checkout remains planned.
Roadmap
Get into schools and teach the next generation how to stay ahead of AI, safely. Career proves the product. Education is what this seed buys. Field verticals come after schools retain.
First applied skill: AI-Assisted Competitive Research. Eight guided steps move a student from real-work context to a Competitive Research Brief and demonstrated skill.
iOS live on the App Store (v1.1.2). Profile spine, Forecast, Scout, Craft, Truth Ledger, Stripe at $8.99/mo. The wedge we take into schools: a system that shows where AI is catching up and what to do this week.
Get into high schools and colleges. Classroom tools for using AI safely. Advisor and teacher surfaces. District and campus partnerships. This is the center of the seed: distribution where young people already are.
High-school college admissions on the same spine: parent-invite, school fit, Craft/Coach. The bridge from “learn AI safely” to “get into the right school with a real profile.”
Medical, International, Recruiter B2B, Agent: same profile spine. On the map. Not the mission. They ship when schools prove the habit.
If we're right
$8.99/mo ≈ $108/yr. Start with paid students. Then multiply through schools, parents, and B2B.
≈ $1.1M ARR · the first retention proof this seed buys
≈ $10.8M ARR · still under 1% of US undergrads
One district deal reaches thousands. Consumer habit + campus GTM reinforce each other.
Family plans as their own funnel. Then planned Dilly for Teams and employer pilots with opt-in candidates who completed relevant work.
Theoretical US undergrad ceiling for Career alone is ~$2.0B at $108/yr. We are not claiming we own it. We are showing the ladder.
Why the check looks small
Most seed rounds fund building the product. This one funds proving it. The App Store binary, Stripe billing, job pipeline, Truth Ledger, and vertical spine are already live or shipping. Capital efficiency is the point.
1,100+ production builds. iOS live since May 2026. FastAPI, Postgres, Stripe, 50+ job sources, Anthropic stack. One founder, Claude Code, daily cadence.
B2C at $8.99/mo vs ~$0.40 LLM COGS (~$0.10 free). School seats, Family plans, and planned Dilly for Teams sit on the same spine after the work loop retains.
First 10K actives, week-4 retention, free→paid conversion, one GTM hire. Round can stretch to $500K. The next round prices retention. This one is priced to get there lean.
What we're measuring next
No retention claims yet. This is what the round buys, in order, and what we'll start publishing as soon as we have it.
App Store launch, .edu-gated signup at scale, and 25 partner schools with referral GTM.
Week-4 retention on the Student cohort, plus the free → paid conversion at the .edu price.
Paid base on the $8.99 Dilly tier with clean monthly cohorts, ready for the next round's diligence.
Where they stand against AI, today's move, and a resume grounded in real facts. $250K seed. Open now. Stretch to $500K. Closes when filled.