FishIntel.ai fishing intelligence platform dashboard
— Case study · 04 · FishIntel.ai · 2025 · SaaS · Studio-Owned

97% gross margin SaaS, built in a quarter.

A fishing intelligence SaaS built on Astro, Supabase, Gemini, and Claude Vision. We built it ourselves. It makes 97% margins. And it shows exactly what we can do for clients.

PropertyFishIntel.ai · Studio-owned
EngagementBuild · Operate · Compound
LeadKit Mobley
StackAstro · Supabase · Stripe · Gemini · Claude Vision
01 The Brief

Sportfishing
without the spreadsheets.

Serious anglers use tide charts, moon phases, weather windows, water temp, NOAA data, and instinct. The data exists. It's just scattered across nine sources.

The brief came from inside the boat.
The brief was: stop reading nine browser tabs.

Kit runs DirtyBoat Charters out of Islamorada. Building FishIntel started as a personal tool, became the studio's SaaS.

Unifies NOAA marine data, tide and lunar forecasts, satellite SST, and catch logs into one intelligence layer for anglers.

The build became proof: same stack we offer clients, shipped complete SaaS from idea to revenue in one quarter.

02 The Product

Know where the fish are.
Before you leave the dock.

Nine data sources, one AI intelligence layer, daily fishing forecasts tuned to your species, location, conditions.

🌊
Satellite SST Maps

Real-time sea surface temperature from NOAA satellite data. Color-mapped temperature gradient overlays showing the productive edges where fish concentrate.

🌙
Tidal & Lunar Intelligence

Tide phase, moon phase, and their combined impact on feeding activity. Ranked bite windows based on historic performance data for each tidal state.

🌤
Marine Weather Windows

NOAA marine forecasts processed through a go/no-go model. Wind, swell height, visibility, and barometric pressure all weighted against fishable thresholds.

🧠
AI Daily Forecast

Gemini and Claude Vision layer synthesizes all data sources into a single daily recommendation: where to go, what tide stage to fish, which species to target, and why.

📍
Florida Keys Specific

Built from inside the fishery by Captain Kit Mobley. 35 years on Florida Keys waters. The model is tuned to Keys species, Keys structure, and Keys conditions.

📱
Charter Captain Tools

Trip planning, customer-facing forecast summaries, and compliance reminders for FWC seasonal rules. Built for the operator who runs the boat, not just fishes from it.

03 The Build

Built fast.
Operates clean.

A complete SaaS product on the studio's standard stack, Astro for the surface, Supabase for the data and auth, Stripe for revenue, Gemini and Claude Vision powering the intelligence layer.

01 — INTELLIGENCE LAYER

Nine sources,
one prediction.

NOAA marine data, satellite SST, tidal forecasts, lunar phase, weather windows, and historical catch records combined through a model layer that produces a daily fishing forecast.

Gemini · Claude Vision · NOAA APIs · Supabase pgvector
02 — REVENUE & RETENTION

Stripe subscriptions,
97% gross margin.

Tiered subscriptions for charter captains, marina operators, and serious anglers. Infrastructure cost is dominated by API calls, revenue scales linearly with subscribers; cost barely moves.

Stripe · Supabase RLS · Edge functions
03 The Numbers
97%
Gross margin
Subscription revenue · Cloud-native cost base
1.
Quarter to launch
Idea to revenue · Standard studio pipeline
9.
Data sources
NOAA · SST · Tides · Lunar · Catch logs
2025.
Shipped.
Studio-owned SaaS · Operates daily

The fastest reference
is the one we own.

— V / A · On building FishIntel —
04 Today

Studio-owned product,
client-proof pipeline.

FishIntel exists for two reasons: it serves an actual market we know intimately, and it proves the build pipeline we sell. The latter is the strategic case.

Every client engagement runs the same pipeline that built this product.

A studio that bills six figures to build product on a stack should have shipped its own product on that stack first. Otherwise it's a tutorial.

FishIntel is the proof. The Astro / Supabase / Stripe / Gemini / Claude Vision stack runs at a margin profile that compounds. Clients who hire us are buying access to that same pipeline.

— Next case —
Disney Public Affairs
Content & architecture.
Read the public-sector case