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OrbitGuard
Score satellite passes 0-100 using live space weather data
Most satellite tracking tools tell you when a pass happens. OrbitGuard tells you how good it will be. A geometrically perfect pass during a geomagnetic storm is operationally useless. OrbitGuard scores each pass 0–100 by combining elevation, duration, Kp index, solar flux, and ionospheric TEC. One actionable number instead of cross-referencing five separate sources. Built using the same data sources professionals rely on — Skyfield, NOAA SWPC, and Space-Track.org.
I'm Nilabh, an MSc Physics grad who spent months reading about satellite operations and space weather. I kept noticing the same problem: ground station operators were manually cross-referencing Kp index, solar flux, ionospheric data, and orbital geometry from five separate sources just to figure out which pass windows were actually worth attempting.
The frustration was obvious — a geometrically perfect pass during a geomagnetic storm is operationally useless. But there was no single tool that combined space weather awareness with pass forecasting.
So I built OrbitGuard independently over the past few months. The core idea is simple: score each upcoming pass 0–100 by combining elevation angle, duration, Kp index, solar flux F10.7, and ionospheric TEC into one actionable number.
I'm launching here because I think this could genuinely help university CubeSat teams and ground station operators. But I also know I'm missing perspective from people who actually schedule satellite passes for real operations.
What's your biggest pain point when scheduling communication windows? What would make this actually useful in your workflow?
About OrbitGuard on Product Hunt
“Score satellite passes 0-100 using live space weather data”
OrbitGuard was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #146 on the daily leaderboard. Most satellite tracking tools tell you when a pass happens. OrbitGuard tells you how good it will be. A geometrically perfect pass during a geomagnetic storm is operationally useless. OrbitGuard scores each pass 0–100 by combining elevation, duration, Kp index, solar flux, and ionospheric TEC. One actionable number instead of cross-referencing five separate sources. Built using the same data sources professionals rely on — Skyfield, NOAA SWPC, and Space-Track.org.
On the analytics side, OrbitGuard competes within Space, SaaS and Developer Tools — topics that collectively have 565.1k followers on Product Hunt. The dashboard above tracks how OrbitGuard performed against the three products that launched closest to it on the same day.
Who hunted OrbitGuard?
OrbitGuard was hunted by Nilabh Jyoti Kalita. 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.
For a complete overview of OrbitGuard including community comment highlights and product details, visit the product overview.
Nilabh Jyoti Kalita