Login

u/Open_Budget6556

r/CDSTards r/GRE r/developersIndia r/gregmat r/bullying r/FuckBlinkit r/blinkit r/Tintin r/AFCATprep r/satellites
▲ 2 r/gregmat

Not able to go above 319

Trying my best giving as many mocks as possible, analysing them properly, already finished 1 month plan, doing overwhelmed plan for weak concept areas but still not able to break into 320+ idk what’s wrong with my brain. My GRE is in 6 days.

reddit.com
u/Open_Budget6556 — 8 days ago
▲ 2 r/bullying

Content creator bullying and harassing people in name of pranks

This guy @mikefrmflawdaa has posted several videos on Instagram harassing people and bullying them in the name of pranks. Just see this filth.

https://www.instagram.com/reel/DZ1ReX\\\_Ojb1/?igsh=MXBsNndjejVveDdseg==

(Harassing an old couple)

https://www.instagram.com/reel/DaB4TPWONEi/?igsh=c3lpdWlsamVxd3Bp

(Harassing indigenous people)

And a lot more crap almost each one his videos is harassing someone.

Internet do your thing.

instagram.com
u/Open_Budget6556 — 10 days ago
▲ 10 r/FuckBlinkit+1 crossposts

Blinkit order scam

Ordered these nongshim cup noodles and was supposed to get 1000 rs off for a week, but never did. Spoke to 2 customer representatives and they said to wait for 24-48 hrs but never got it.

u/Open_Budget6556 — 12 days ago
▲ 116 r/satellites+1 crossposts

A tool I made to gather logistical intelligence using satellite data

Hey guys, l've been workin on something new to track logistical activity near military bases and other hubs. The core problem is that Google maps isn't updated that frequently even with sub meter res and other map providers such as maxar are costly for osint analysts.

But there's a solution. Drish detects moving vehicles on highways using Sentinel-2 satellite imagery.

The trick is physics. Sentinel-2 captures its red, green, and blue bands about 1 second apart.
Everything stationary looks normal. But a truck doing 80km/h shifts about 22 meters between those captures, which creates this very specific blue-green-red spectral smear across a few pixels. The tool finds those smears automatically, counts them, estimates speed and heading for each one, and builds volume trends over months.

It runs locally as a FastAPl app with a full browser dashboard. All open source. Uses the trained random forest model from the Fisser et al 2022 paper in Remote Sensing of Environment, which is the peer reviewed science behind the detection method.

GitHub: https://github.com/sparkyniner/DRISH-X-
Satellite-powered-freight-intelligence-

u/Open_Budget6556 — 2 months ago