March 2, 2026
When trout met mouse, chaos ensued
Launch HN: OctaPulse (YC W26) – Robotics and computer vision for fish farming
Robots check your trout; commenters roast the fish cursor and ask if it works in murky water
TLDR: OctaPulse launched robots to inspect farmed fish and is already live with North America’s biggest trout producer. Comments clashed over a gimmicky fish cursor, doubts about murky-water accuracy and data labeling, and praise for a 'for everyone' alternative to pricey fish tech—highlighting big stakes for sustainable seafood.
OctaPulse splashed onto Hacker News with a big claim: robots that inspect farmed fish so farmers don’t have to net, sedate, and hand-measure them. They’re already live with North America’s biggest trout producer and say their waterproof gear, smart cameras, and small on-site computers can count and size fish with less stress. But the comment section instantly hooked on something else: the website’s fish-shaped mouse pointer. One camp chuckled; another cried distraction, with one top quip calling it “cute, but extremely annoying.” The cursor became the unofficial mascot—and punching bag—of launch day.
Then came the real talk. A skeptical chorus asked if the system works when the water’s murky—“Can it see through soup?” vibes—while a home aquaponics grower cheered the potential to make farm-raised fish better quality and more respected. A class-war splash hit too: one zinger framed this as the accessible cousin to high-end fish tech, “Shinkei was for the rich; you guys make it for all.” Behind the scenes, a practical question cut through the hype: who’s doing the tedious data labeling to train this thing? Love the mission or not, the crowd agrees the stakes are huge: most of the world relies on fish protein, the U.S. imports 90% of its seafood, and smarter farms could matter. Dive in at tryoctapulse.com.
Key Points
- •OctaPulse is building a robotics and computer vision platform to automate fish inspection, deployed with North America’s largest trout producer.
- •The founders cite global seafood dependence and poor data visibility in a $350B aquaculture industry as motivation.
- •Manual hatchery sampling is labor-intensive (≈5 minutes per fish), stresses fish, and yields sparse data; OctaPulse aims to automate this.
- •Technical stack includes Luxonis OAK cameras (Myriad X) for on-camera inference and Nvidia Jetsons (Orin Nano/NX) for heavier tasks.
- •Models use CNNs, transformers, YOLO detection, custom segmentation, and keypoints, optimized via TensorRT, OpenVINO, ONNX Runtime with INT8 quantization and careful calibration.