Man Overboard for iOS
Research answer
What AppTrendKit can say about Man Overboard for iOS today
Man Overboard for iOS has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
History
Collected daily performance
No daily history yet.
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.0
- Released
- Sep 23, 2026
- Last updated
- Sep 23, 2026
- Content rating
- 4+
- Default storefront
- AU
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
The Man Overboard (MOB) App requires a PredictWind Pro subscription per boat and DataHub Pro hardware. When someone goes overboard, hesitation costs lives. The Man Overboard App notifies the entire crew the instant a fall is detected - automatically, precisely, and without pressing a single button. How it works A fall overboard breaks the WiFi connection between the crew member's iPhone, Apple or Garmin Watch and the boat's DataHub Pro. The app detects this instantly, marks the exact overboard location on your chartplotter, and fires an alert to the entire crew simultaneously. Key features AUTOMATIC MOB DETECTION Detection happens the moment the wifi connection is lost. INSTANT CHARTPLOTTER MARKING The exact GPS coordinates are automatically set as a waypoint on your chartplotter the moment MOB is detected. CREW-WIDE ALERTS Every Apple or Garmin Watch and iPhone connected to your DataHub Pro receives the alert at the same time, so the entire crew can respond quickly. Works on Apple or Garmin Watch and iPhone. Get set up before you need it. Man Overboard Watch App runs silently in the background; no attention required, no action needed. Just protection that's there when it matters most. https://www.predictwind.com/about-us/terms-and-conditions https://www.predictwind.com/about-us/privacy-policy
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
Man Overboard by PredictWind
PredictWind Limited
PredictWind — Marine Forecasts
PredictWind Limited
PredictCurrent
PredictWind Limited
Google LLC
Google Chrome
Google LLC
My Spectrum
Charter Communications Operating, LLC
DuckDuckGo, optional Duck.ai
Duck Duck Go, Inc.
leboncoin
LBC France
How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 29, 2026, 10:01 AM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 29, 2026, 10:01 AM.
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Open methodology


