Rigline combines offshore fishing analytics, ocean charts, and trip logging in one platform. Raw satellite and model data become ranked, map-ready fishing decisions for offshore and inshore anglers.
Real-time sea surface temperature analysis finds offshore temp breaks and thermal fronts. Rigline ranks each break by strength and distance, then forecasts where the edge will be when you get there.
Multi-factor scoring combines SST, chlorophyll, currents, bathymetry, and more into ranked offshore fishing hotspots. Species profiles for pelagics, mahi, and wahoo add regional tuning by state.
Estuary-specific modeling for inshore waters factors in tides, wind, salinity, clarity, habitat proximity, and structure to score hotspot cells by region and target species.
Surface current convergence blends with sargassum signals to predict where floating structure sets up. Forecast steps help offshore anglers plan around the next 12 hours of drift.
Browse the raw ingredients behind the score, including SST, chlorophyll, altimetry, currents, salinity, mixed layer depth, upwelling, and more. Each layer includes legends, history, and forecast controls.
Log trips with GPS tracks, catches, conditions, and gear. Build your fishing logbook, track patterns over time, and connect with the Rigline community.
Heavy geospatial processing happens off-device, so your phone stays fast while Rigline does the hard work of turning ocean data into fishing intelligence.
We ingest offshore ocean data from multiple sources, including NOAA SST, GOES imagery, Copernicus oceanography, ERDDAP, and more, on a continuous basis.
Automated pipelines process raw data into thermal gradients, convergence zones, scored hotspots, and species-tuned models with built-in fallbacks.
Results are delivered as map layers on your phone, ranked, scored, and ready to use so you can make offshore decisions faster.
Sources include NOAA MUR SST, GOES SST, Copernicus ocean models, ERDDAP, and HYCOM, with automatic fallbacks when any source is unavailable.
Founder & Developer
Location
Raleigh, North Carolina
Background
Lifelong Offshore Angler
Education
LSU Finance '25
Role
Self-Taught Developer
I built Rigline because the offshore fishing world had no good way to use ocean data. Sea surface temperature, chlorophyll, altimetry, and current data all existed, but none of it felt accessible or actionable for anglers.
As a lifelong fisherman from North Carolina, I spent years wishing I could see where temp breaks were forming, where convergence zones were setting up, and which offshore areas were actually worth the run. While studying Finance at LSU, I taught myself to code and started building the tool I wanted to use.
Rigline processes real oceanographic data through scoring and modeling pipelines, then delivers the results as map layers you can actually use on the water. No guessing, no static charts, just current ranked intelligence for offshore fishing.