kmajid

5 ms·

1.
by kmajid 8mo ago
We prevent discontinuities by using a Continuous Extended Kalman Filter where the physics model serves as the persistent baseline and telemetry acts only as a corrective update. When the buffer leaks, the system doesn't snap to a new p
2.
by kmajid 8mo ago
Primary inference runs ground-side (K8s/GovCloud) to aggregate global data for routing. We do see the need for something like a hybrid-edge approach for tactical, sub-5s mitigation. We would target FPGAs (like Xilinx Versal) for produc
3.
by kmajid 9mo ago
You get it!
4.
by kmajid 9mo ago
We're big believers in American Dynamism.
5.
by kmajid 9mo ago
Not right now but we will be soon! Send over your resume to hello@constellation-io.com if you're interested in joining.
6.
by kmajid 9mo ago
Not currently, we're planning on opening up our seed round in 4 weeks, feel free to shoot us a note at hello@constellation-io.com if you're interested in learning more.
7.
by kmajid 9mo ago
Spot on. We categorize that <5s window as tactical fade mitigation. Our current 3-5m window is for topology/routing, but the sub-5s window is for Dynamic Link Margin (DLM). If we can predict fast-fading signatures—like tropospheric
8.
by kmajid 9mo ago
Great point, telemetry reliability is the biggest hurdle for any mission-critical system. We address the "garbage in, garbage out" risk by prioritizing freshness (our pipeline treats latency as a failure). We use a "leaky&quo
9.
Launch HN: Constellation Space (YC W26) – AI for satellite mission assurance
48 points by kmajid 9mo ago|18 comments