FocusFlow is an academic operating system for neurodivergent students — an AI study coach, an executive-function toolkit, and a safe tutor marketplace, in one app. It's not a prototype. It's live in production today.
+ + +Notion, Quizlet and generic tutoring all assume the hard part is content. For a neurodivergent student, the hard part is starting, staying on track, and self-regulating under pressure — the executive-function layer no other tool owns.
+Every module writes to the same student model, so the coach knows what's due, what's stressful, and what a student is weak on — and gets proactive before a test. This is the full surface, all shipped.
+A Socratic tutor that adapts to the student's mode (ADHD, autism, exec-function, exam-prep) and refuses to hand over answers — it teaches, it doesn't cheat. Safe for parents and schools.
+ 3-provider engine +Command Centre "mission control," AI task-breakdown into tiny steps, one-tap quick-capture brain dump, Pomodoro focus mode, a Calm/overwhelm flow, and a pre-exam "lockdown" mode.
+ Command Centre +Flashcard decks with spaced repetition, auto-generated quizzes & practice exams, printable guides, an Explain-it-back (Feynman) mode, and an OCR homework scanner.
+ SRS + Feynman +School → term → course → weighted categories, live GPA on an editable scale, and a "what do I need on the final?" calculator that solves the target for you.
+ Live GPA +Dyslexia-friendly typeface, text scaling, read-aloud TTS, voice dictation, reduced-motion, high-contrast and simplified layouts — applied app-wide from an onboarding neuro-profile.
+ First-class, not bolt-on +Two-sided marketplace with ID-verified tutors, transparent ranking, a full booking lifecycle, reviews, referrals, and moderation — parent-mediated & safety-gated for under-18s.
+ Payments built-in +Because school isn't the whole student: mood check-ins, a wellness log, to-dos, and a private budget (income & expenses). Feeds the coach — heavy stress dials back the workload.
+ Whole-student +A Connect SDK any external study app can drop in. It streams a student's weak topics back in, so the coach nudges practice on exactly what they're struggling with — before the test.
+ Platform play +Installable PWA with web push and email. Adaptive nudges fire at each student's personal best focus hour, and swap to urgent copy inside a pre-exam lockdown window.
+ Meets them where they are +Retrofitting real neuro-adaptive coaching onto a general study app is a rebuild, not a setting. FocusFlow's data model, coaching modes and UI were designed for this from line one — the incumbents can't fast-follow it cheaply.
+It's Socratic by design and redirects answer-seeking. That's the exact property parents and schools require before they'll trust — and pay for — an AI in their child's education. It's a trust asset competitors giving away answers can't claim.
+The default AI engine runs locally and free — no API bill, works offline. Paid providers are optional upgrades. Every premium capability (payments, video, alerting) is a dark "seam" flipped on by a single environment variable. Gross margin is structurally high from day one.
+Grades, wellbeing, tutoring and daily planning in one place means switching cost compounds. A student's history, streaks, and weak-area signals live here — leaving means starting over.
+This isn't "we'll monetize later." A two-sided marketplace with real payments and a $5/mo tutor subscription is coded, tested, and already proven end-to-end against live Stripe — waiting on a go-live decision, not a build.
+This reads like a funded team's Series-Seed codebase, built solo in about ten weeks. It's deployed, tested, and monitored. Several revenue and premium features are fully built and sitting one credential away from live.
+| Capability | Status | What it takes to switch on |
|---|---|---|
| Core app (coach, study, grades, life) | Live | Running in production on the free local AI engine. |
| Accessibility engine | Live | Shipped and applied app-wide. |
| Email + web-push notifications | Live | Sending in production. |
| Premium AI (Gemini / Claude) | Live | Wired; premium responses enabled via API key. |
| Tutor marketplace + payments | Test mode | Proven end-to-end against live Stripe in test mode. Go-live = swap to live keys + onboard first tutors. |
| Live video tutoring (LiveKit) | Built · dark | Fully coded; needs LiveKit credentials (3 env vars). |
| Error alerting webhook | Built · dark | Sentry live; team alerts need one Slack/Discord URL. |
Not a weekend hack — this is disciplined, testable, deployable software.
+Current, mainstream, hireable-for technology — nothing exotic to maintain.
+The whole student experience is free — that's the growth engine. Revenue rides on the marketplace and premium tiers, and the plumbing for both is already in the codebase.
+Verified tutors pay to appear in discovery. Coded, tested, and validated against live Stripe. Supply-side recurring revenue that scales with the tutor base.
+A feature-gating billing seam already exists — every feature currently sits in the free tier. Flip advanced coaching, unlimited premium-AI, or family accounts into a paid plan with no rebuild.
+Multi-role support (admin, teacher, class dashboards, moderation, audit logs) is already in place — the foundation for selling seats to schools, districts, and learning-support programs.
+Just $5/mo × paying tutors — before any premium student tier, marketplace take-rate, or B2B seats. It shows the shape of the recurring line once supply is on the platform.
+| Paying tutors | Monthly recurring | Annual recurring |
|---|---|---|
| 100 | $500 | $6,000 |
| 500 | $2,500 | $30,000 |
| 1,000 | $5,000 | $60,000 |
| 5,000 | $25,000 | $300,000 |
Because the default AI runs locally and free, and every paid dependency is optional, the cost to serve a free user is essentially hosting. Revenue features add cost only when they're already earning. That's a rare position: we can grow the free base aggressively without growing the bill.
+The product risk is largely retired. The remaining work is go-to-market and operational, and it's normal for this stage.
+The marketplace is pre-launch. We have a proven product but zero usage/retention data. First priority is a real pilot cohort to generate evidence.
Flipping to real charges is a config + compliance step (live Stripe keys, business verification), not a build.
One person built all of this. To scale reliably it needs a small team — the clean, tested, documented codebase makes onboarding realistic.
Currently on Vercel's Hobby plan (crons worked around via GitHub Actions). A modest infra spend unlocks headroom for real traffic.
The product is done enough to test with real students this term. My recommendation is to prove demand before spending on scale.
+Recruit 15–30 students (a class, a tutoring group, a support program). Turn on premium AI, watch usage and retention, and gather testimonials. Near-zero cost; produces the evidence every later decision needs.
+Swap Stripe to live mode, onboard a first handful of verified tutors, and switch on LiveKit video. Turns a built feature into an actual revenue line. Blocked only on a go/no-go and business verification.
+With pilot evidence in hand, invest in a second engineer, a modest hosting/infra tier, and a focused go-to-market motion (schools & learning-support orgs). Retire the bus factor; open the B2B channel.
+We have a live, production-grade, accessibility-first learning platform with a built-in revenue engine — created for a fraction of what it would normally cost. The expensive, risky part (building it) is done. What's left is the fun part: putting it in front of students and turning the revenue on.
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