December 5, 2025
Cat cam, Pi fam
Show HN: I was reintroduced to computers: Raspberry Pi
From cat anxiety to a phone-controlled spy car, the Pi crowd cheers
TLDR: A maker built a phone-controlled Raspberry Pi car with live video to check on house worries like the cat. Comments loved the tinkering vibe, debated Pi versus tiny ESP32 boards for power, and veered into servo-voltage warnings and lawn‑mower chaos—showing DIY robots spark big feelings.
Hacker News lit up for a wholesome comeback story: a sleep-deprived AI tinkerer grabbed a $15 Raspberry Pi, slapped it onto a $5 toy car, stuck on a USB camera, and built a web joystick to drive around the house—because cat anxiety is real and remote peeking is soothing. The community swooned over the back-to-basics vibe; youchen_ called it “a wonderful journey back to computing,” while others cheered the chaotic photo of the comically long breadboard scraping the floor—“it’s a feature, not a bug” energy.
Then came the drama. Team Pi vs. Team tiny camera board: GardenLetter27 flexed with the ESP32-CAM (a little, low-power board with a built‑in camera), hinting efficiency matters, but admitted the real power hog is the motors, not the brain. Peteragain rolled in with a spicy flex—“Power the servo at 7.2 volts”—prompting imaginary multimeter-wielding engineers to clutch pearls over crispy servos. And d--b dropped a link to a remote-control lawn mower (here), launching jokes about drive-by edging and “please don’t mow the living room.”
The vibe: playful chaos meets homegrown robotics. Between live video streaming, joystick joyrides, and DIY therapy for house paranoia, the crowd celebrated how a palm-sized computer can rekindle curiosity—and turn your living room into a cat-cam racetrack.
Key Points
- •The author builds a remote-controlled car platform using a Raspberry Pi Zero 2 W as a base for future physical AI projects.
- •Hardware includes a 2WD kit, TB6612 motor driver, two 18650 batteries, a buck converter for 5V power, and a USB camera.
- •The Raspberry Pi is set up headlessly by imaging the SD card with Raspberry Pi Imager, discovering the IP via hostname ping, and connecting over SSH.
- •Control is implemented with a Python app that accepts HTTP requests to set motor speeds (e.g., /motor?x=50&y=-20).
- •Live video streaming is provided using mjpg-streamer, and a web interface offers a virtual joystick mapping to motor A and B speed axes.