Wingbits AI

How do you deal with coverage gaps or spoofed data, like do alerts include a confidence score based on nearby receivers?

I’m a station owner located in the UK (within 12 miles of London Luton Airport, 21 miles of London Stansted, and 40 miles from London City and London Heathrow) - so we see quite a large number of aircraft including those Low Altitude on the beginning/end of their journeys.
Love being part of this project and knowing the data captured is powering awesome tools like this one! Looking forward to the future growth of the software.

Well done to the dev team! 🙌👏

Building AI agents on top of live ADS-B data feeds is genuinely tricky since the message stream is noisy with duplicate transponder IDs and position errors. We've worked with high-frequency event streams in our own infrastructure and know how hard accurate state reconciliation can get. What's your approach to deduplicating transponder messages and handling geofence evaluation latency when multiple flights trigger alerts simultaneously?

Real-time ADS-B data processing at scale is genuinely hard. The fan-out problem for alert subscriptions when flight state changes happen fast is nontrivial. We've wrestled with similar event-driven architectures for customer health signals where latency matters. Are you processing raw Mode S data directly or using a provider like ADS-B Exchange? How do you handle alert deduplication when a flight triggers multiple geofence conditions simultaneously?

The detail about agents having access to their own alert history and deciding whether enough has changed to flag again is the smart call! If possible to answer at all, where do you draw the line between what the agent suppresses on its own vs what stays a user-tunable threshold?

about the alert latency. ADS-B data has inherent delays depending on antenna coverage density and how quickly data gets aggregated. for something like a GPS jamming spike where timing actually matters, what's the realistic gap between an event happening and an alert reaching the user. and does coverage quality vary enough by region that some alerts are significantly more reliable than others

@lungu Real-time monitoring is one of the cleaner use cases for agents because the signal and response window are clear. The hard part is making sure alerts stay useful instead of becoming another stream of noise.

I've been part of this journey for 2 years now, happy to say I contribute with stations in 7 different countries. The team has been great supporting me/them.

The alerting aspects is what stands out most. Knowing when something important happens is often more valuable than constantly watching dashboards.

The alert agents are the most interesting part for me. Most people don't need all the raw flight data, they need to know when something unusual happens. How do you filter signal from noise when tracking things lie route changes or GPS jamming events?

have been using the Wingbits map for while and this is such a cool new feature, love it!

This is awesome! "How many helicopters are flying over Sweden right now" gives me a deep and detailed answer - I will spend way to much time with this... 🤓