DiveSight: Scuba Forecasts
Visibility and Marine Life Forecasts for Divers
DiveSight: Scuba Forecasts launched on June 25, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
DiveSight forecasts ocean conditions for scuba divers, including underwater visibility, marine life abundance, and diver-relevant oceanography. It combines near-real-time satellite data, established oceanographic models, and machine learning to predict what conditions will be, not just what they were. This gives divers something that hasn't existed before at this scale: a visibility and marine life outlook for any dive site on Earth, including custom sites anywhere a diver drops a pin.
Marine life and underwater visibility forecasts for 28,000+ dive sites and 6,000+ marine species worldwide. The first to forecast both.
The first app to forecast both marine-life abundance and underwater visibility worldwide. DiveSight forecasts marine-life abundance, a first for a consumer dive app, and underwater visibility at global scale, rather than region by region from diver reports. A Marine Life Index (scored between 0-100) for every site, updated daily. See which days will be better or worse than usual — up to a week ahead. Predicts underwater visibility at sites worldwide — including the tens of thousands of sites no crowdsourced app has reports for. Book the boat with confidence. Every site shows monthly averages of key variables: water temperature, visibility, currents, and more. Identify the best months to…from divesight.ai
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Submarius – Global water clarity for diversJun 2026 · submarius.com · ▲14Submarius started as just a dashboard for diving conditions, but I quickly realized that there is simply no API for water clarity, nor even a simple way to calculate it. Divers call it viz, and it is one of the most consequential factors for a diving experience. So I dove the viz rabbit-hole. I landed on a state-augmented ensemble kalman filter. More details on the /clarity page. My question for the HN audience is if anyone knows of a better way of doing this? There is a ton of satellite data to train on, but a lot of it is messy (clouds read as turbid water, shallow reefs reflect…
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