PlanEat AI — validation- first case study

A lightweight meal-planning assistant that turns expert guidance into daily, doable steps. We validated with interviews, cut to the smallest useful MVP, published on the App Store, and are now gathering first traction.
Snapshot
Snapshot
Goal: Quickly size the space and set context before investing.
What we did: Basic TAM / SAM / SOM + CAGR, 2–3 core competitors, decision to validate now.
Validation
Validation
Goal: Confirm a pay-worthy pain and shape the value in plain words.
What we did: 10–15 interviews; Customer Value Proposition Canvas; prioritization of features
Design
Design
Goal: Express the smallest useful scenario in clear UX/UI.
What we did: User flows → wireframes → prototype → base UI system (tokens/components).
Development
Development
Goal: Implement the MVP.
What we did: App in Flutter; backend on Supabase (Auth/DB/Storage); analytics wired; QA; internal test builds.
Beta
Beta
Goal: Collect actionable feedback before release in a focused environment.
What we did: Invited 50 early users via TestFlight; ran the beta inside a private Discord. Triaged issues, removed low-signal features, added top requests, and upgraded the in-app model to GPT-5 for better guidance.
Publish
Publish
Goal: Go live with the minimal viable experience.
What we did: Baseline App Store listing (required title / subtitle / keywords / screenshots) and release.
First traction
First traction
Goal: Gather early, measurable signals while we learn the channels.
What we did: Exploring organic acquisition via TikTok, Reddit, and free app directories.
Signals we watch: installs by source, first-action activation, D1/D7 retention, qualitative feedback themes.
Fundraising
Fundraising
Goal: Raise to scale traction.
What we did: сoncise pack — current unit economics (ARPU/CAC/payback/CAGR), lean model, short deck, target investor list.
Signals we watch: expand content/UGC production, validate paid model, cautious paid experiments after organic learnings, onboarding v2.
Repeat this path!
Book a 30-min check

Start where PlanEat started

A 48-hour Market Snapshot (TAM/SAM/SOM + CAGR) to decide go / adjust / wait.

You get: a 2-page PDF (assumptions, numbers, sources, CAGR, risks, next steps)

Get Market Snapshot

Meet with a specialist

A short, honest conversation with the team that would actually ship your product. We listen to your story, probe the edges, and map a simple path forward or advise you to wait. Either way, you leave with confidence.

FAQ

Can you create fully customized solutions using AI-powered code development, or do you use some kind of templates?
Are there any limitations I should be aware of (such as scaling, API integration, or speed)?
When the app is completed, do I get full ownership of the source code, design files, and intellectual property?
How do you handle GDPR compliance and user data security for European users?
Or write to us at
di@valtorian.com
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