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Wingbits AI

AI agents for real-time aircraft monitoring and alerts

API
Artificial Intelligence
Maps
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Hunted byBen LangBen Lang

Create agents that monitor airspace activity 24/7 - military aircraft in a region, private or government jets, a GPS-jamming spike, or a travelling friend or family member - and get alerts the moment something relevant happens. Or just ask anything about what's flying right now. Powered by our own independent network of 5,600+ antennas across 120 countries. No code, no data engineering, no terabytes to store.

Top comment

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

Comment highlights

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... 🤓

I’m one of the stations. I live less than 8.5 miles from JCI and .5 from OJC

Hey Product Hunt 👋

I'm Alex, co-founder of Wingbits.

For the last two years we've built a completely new flight tracking network: 6000 antennas across 120 countries, generating terabytes of data daily, with Spire Global and Korean Air as customers. Until now, gaining insights from this data required a data science team. Now we're launching Wingbits.ai so everyone else can easily get answers too.

It's made for reporters, prediction markets, competitive analysts, route planners, aviation enthusiasts. Anyone can extract geopolitical or operational insights by just asking in plain English.

No code, no data processing, no infrastructure.


A few things you can do today:

  • Ask "where is Air Force One right now?" and get a live map link to track it

  • "Which private jets visited Davos last weekend?" or "Mar-a-Lago last Saturday?"

  • Spin up agents that send alerts to Slack, email, Telegram, or Teams the moment something matches your criteria

  • Compare GPS jamming events across regions, or

  • Get scheduled reports or analysis on things like competitor routes

PH community gets a free tier, or 1 month of Pro free with code HUNTERS.

Let me know - what's one thing you've always wanted to know about aviation, but never had the tools for?

— Alex

About Wingbits AI on Product Hunt

AI agents for real-time aircraft monitoring and alerts

Wingbits AI launched on Product Hunt on May 30th, 2026 and earned 176 upvotes and 36 comments, earning #2 Product of the Day. Create agents that monitor airspace activity 24/7 - military aircraft in a region, private or government jets, a GPS-jamming spike, or a travelling friend or family member - and get alerts the moment something relevant happens. Or just ask anything about what's flying right now. Powered by our own independent network of 5,600+ antennas across 120 countries. No code, no data engineering, no terabytes to store.

Wingbits AI was featured in API (98.2k followers), Artificial Intelligence (469.7k followers) and Maps (12.8k followers) on Product Hunt. Together, these topics include over 108.6k products, making this a competitive space to launch in.

Who hunted Wingbits AI?

Wingbits AI was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Wingbits AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.