OFFSHORE INTELLIGENCE · NEW · MAY 2026

Fishare Offshore Intelligence

The others sell you yesterday’s water. HSI reads it and tells you where to run — today, and every day this week.

A real model layered on top of the ocean — telling you where the marlin, tuna, mahi mahi and the rest of the pelagics actually are. Satellite-fed, updated daily, 9 species and counting — live across AU East Coast, US East + Gulf, UK & Ireland, New Zealand and Japan & Kuroshio.

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Live southern bluefin habitat heatmap on the NSW shelf — real Fishare screenshot with numbered top-spot pins
Southern bluefin habitat, NSW shelf — a real screenshot from the live map. The bright band is where the model says to look.

For years, finding offshore fish meant subscribing to raw satellite imagery, learning to read the sea-surface temperature charts yourself, learning to spot the productive water, learning to read the spinning ocean structure, and then doing the interpretation in your head before you steamed out. HSI does the interpretation for you.

The model looks at five things, all at once, every day. Each one tells you something different about where the fish should be. The score is what you actually want to know: given everything I can see, how good does this patch of water look right now, for the species I care about?

What the model looks at

Five layers, one score. Each layer tells the model something different about the ocean — together they tell it where the fish should be.

1

Sea-surface temperature, with the edges already found

Pelagic species hunt along the seams where warm water meets cold. The model checks satellite SST every day, finds the warm-cold edges automatically, and tells you how close each spot is to one. You don't need to learn to read a thermal-gradient chart — it's already in the score. Hit play and watch the last 7 days animate — see the warm water move, the fronts shift, which way the edges are trending.

2

Mesoscale ocean structure

The big swirling features that pelagics actively track — warm-core and cold-core spinning bodies of water that concentrate baitfish along their edges. The model knows where they are, which way they spin, and which species favour which type. Yellowfin and southern bluefin prefer one kind. Black marlin and mahi mahi prefer the other.

3

Green-water productivity

Where the green stuff is, the baitfish are. Where the baitfish are, the predators follow. The model factors in productivity-rich water bodies and the boundaries where they meet clearer blue water — that's where the bait gets concentrated.

4

Seabed structure

The model knows where the seamounts, ledges, drop-offs and submarine canyons are. So it basically knows the contours of the seabed and finds the good fishing structure for you automatically — you don't have to scroll through a chart looking for the 200m line.

5

Surface currents

Where the surface flow is heading and, more importantly, where the shear lines set up — those long lines where current speed changes and bait gets pushed up against the boundary. Same principle as the temperature edges, just for water movement.

Species the model knows

Each species has its own thermal sweet spot, eddy affinity and depth preference baked in. Pick a species, see its heatmap.

Yellowfin Tuna
warm-water hunter, follows the warm edges (AU + US + NZ + JP)
Southern Bluefin Tuna
cooler-water specialist, follows the upwelling edges (AU + NZ)
Mahi Mahi
warm-core hunter — loves the warm spinning bodies of water (AU + US + NZ + JP)
Black Marlin
tropical/sub-tropical, lives on the warm edges (AU + JP)
Blue Marlin
tropical, prefers the warmer end of the range (AU + US + NZ + JP)
Striped Marlin
cooler-water marlin, follows upwelling fronts (AU + NZ + JP)
Atlantic Bluefin Tuna
cold-front specialist — canyons, shelf edge and the Gulf Stream wall (US + UK)
Wahoo
warm-water speedster, hunts along thermal edges (US)
White Marlin
mid-Atlantic canyon billfish — warm-temperate edges (US)

More species are rolling out as we build out their thermal and structure profiles. If you fish a species that's not on this list and want it added, drop a note via the chat in the app.

What this replaces

The old way
  • Pay for a satellite imagery subscription
  • Learn to read SST charts yourself
  • Learn to spot the productive water
  • Learn to read the spinning ocean structure
  • Cross-reference seabed structure on a separate chart
  • Make your best guess where the fish should be
  • Burn fuel finding out if you were right
With HSI
  • Open the map
  • Pick the species you're after
  • See the score for every patch of water around you
  • The bright spots are where the model says to go
  • Hit play to watch the last 7 days move
  • Drive there

How this compares to what you already pay for

The list above opens with "pay for a satellite imagery subscription" — so here is the honest side-by-side against the ones people actually hold. Each page names their real pricing, cites where it came from, and says plainly where they beat us.

vs RipCharts Per-region SST + altimetry, sold annually vs Hilton's The established US offshore planner vs FishTrack Offshore imagery for the blue-water run vs SST charts Reading the raw field by hand

Pricing, plainly

FREE FOR 7 DAYS
Full HSI access for 7 days. No card required to start. Cancel any time during the trial and you don't get charged.
Annual
US$49.99/yr
Works out to $4.17 a month — save 30% vs monthly
Start annual free trial
Monthly
US$5.99/mo
No minimum term — cancel any time
Start monthly free trial
Promo codes

There's a code field at checkout. Friend codes get you HSI free for as long as you want it. Founder gives them out — if you know Olli, just ask.

Start the 7-day free trial
Already had an account before July 17, 2026?

Then HSI is already yours, free for life — a thank-you for being there early. The app checks your signup date and unlocks it automatically; there's nothing to do and nothing to pay.

Frequently asked

What does the HSI score actually mean?

It's a 0-to-100 score for how good the conditions look at any patch of water, for the species you've picked. Higher score = more of the things that species likes (right temperature, near a productive edge, good structure underneath, baitfish around). It's not a guarantee — fish are still fish — but it's the best read we can give you of where to actually go.

Which species are covered?

9 across the 5 live regions, and the selector adapts to the water you're looking at. On Australia's east coast: yellowfin tuna, southern bluefin tuna, mahi mahi, black marlin, blue marlin, striped marlin. On the US East Coast & Gulf: yellowfin tuna, atlantic bluefin tuna, mahi mahi, wahoo, blue marlin, white marlin. In UK & Ireland waters: Atlantic bluefin tuna — the species the SW England, Celtic Sea and North Sea summer run is built on. In New Zealand: striped marlin, yellowfin tuna, southern bluefin tuna, mahi mahi, blue marlin. In Japan & the Kuroshio: striped marlin, yellowfin tuna, mahi mahi, blue marlin, black marlin. More species roll out as we build and review their thermal and structure profiles.

How accurate is it?

It's a habitat model, not a fish finder — it reads the conditions, not the fish. Some days it's right and some days the fish do their own thing, because that's the nature of the ocean. Treat it as a way to narrow a big blue map down to the water worth burning fuel on, not as a promise. We don't publish an accuracy number, because we'd rather publish none than one you can't check.

Where is the heatmap live — does it work outside Australia?

5 regions are live today: AU East Coast, US East + Gulf, UK & Ireland, New Zealand and Japan & Kuroshio. The US went live in May 2026 (Atlantic bluefin, white marlin, wahoo); the UK & Ireland followed in June 2026 with Atlantic bluefin tuna — the SW England, Celtic Sea and the resurgent North Sea summer run; New Zealand and Japan/Kuroshio run the same warm-pelagic set as Australia. The map picks the region from wherever you're looking. The upstream satellite data is global, so the model can run anywhere — what gates a region is the per-species profiling and the daily bake, which is why regions arrive one at a time rather than all at once. The US West Coast is not in the heatmap yet.

What happens when the 7-day trial ends?

The trial starts with no card, so if you do nothing it simply ends after 7 days and you're never charged — no surprise bill. To keep HSI, add a card (or subscribe) before the trial ends and you continue at US$49.99/yr (or US$5.99/mo if you pick monthly). Cancel any time — no minimum term.

I'm a friend of Olli's — how do I get a code?

Just ask him. Friend codes get you HSI free for as long as you want it. There's a "Promo code" field at checkout. If you don't have a code yet, drop Olli a message via the chat in the app or any of the social links at the bottom of the page.

I signed up to Fishare ages ago — do I have to pay?

No. Anyone who signed up before July 17, 2026 gets HSI free for life as a thank-you for being there early. No action needed — the app checks your account creation date and unlocks HSI automatically.

Does this replace the rest of Fishare?

No — HSI is just one feature. The bite score, the live map, the spot pages, the tide model, the catch logging, the species and regulations content — all of that stays free, for everyone, forever. HSI is the layer on top for offshore anglers who want the satellite-fed habitat read.

A note on methodology

We don't publish the recipe — the specific data sources, the exact model architecture, the validation numbers. The reasoning is simple: this took months of integration work to get right, and the offshore-intelligence incumbents that we're catching up with deliberately don't publish theirs either. We'd rather you trust the score on the merits than reverse-engineer the inputs.

What we will say: the model is multi-input, and the inputs are all real upstream measurements — satellite sea-surface temperature and chlorophyll, altimetry-derived currents and eddy structure, modelled subsurface temperature, and seabed bathymetry — combined with per-species habitat preferences drawn from the published literature. No Solunar-style 1926 lookups anywhere in it.

What we will not say is how well it scores. We are rebuilding the evidence base for the forecast side of the product from the ground up, on data whose provenance we can put in front of anyone who asks, and until that is done we would rather publish no accuracy figure than one we cannot fully stand behind. The score is decision support. It is not a promise, and it is sometimes wrong.

Written by
Olli-Mikael Vaittinen, founder of Fishare, holding a yellowfin tuna boatside
Olli-Mikael Vaittinen

Olli-Mikael Vaittinen has fished his whole life. Fifteen years of fly fishing, guiding seasons on Norway's Lakselva — his favourite Atlantic salmon river — and a blue marlin landed in Vava'u, Tonga. Founder of Fishare — the app that puts the data behind the decisions every angler makes on the water.

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