Excited to share that we just launched our new AI-powered analytics dashboard. The team has been working on this for months, and the results are incredible. Early beta users are seeing a 40% improvement in decision-making speed. What features would you want to see in an analytics tool?

Hot take: The best code is the code you don't write. We refactored our entire auth system last quarter — went from 12,000 lines to 3,200. Same features, fewer bugs, easier to maintain. Sometimes the most productive thing you can do is delete code.

Just published our research on real-time anomaly detection in streaming data. Key finding: ensemble methods outperform single models by 23% in precision when dealing with concept drift. Paper link in comments. Would love feedback from the ML community.

We are hiring across all engineering teams! Looking for backend engineers (Go/Rust), frontend engineers (React/TypeScript), and ML engineers. Remote-first, competitive comp, interesting problems. DM me or check the careers page.

Ran a fascinating usability study this week. Users consistently preferred the simpler interface even though the complex one had more features. Lesson: cognitive load is real. Your users don't want more options — they want the right options at the right time.

Migrated our entire infrastructure from Docker Compose to Kubernetes last month. Deployment time went from 15 minutes to 45 seconds. Auto-scaling handles our traffic spikes without manual intervention. The learning curve was steep but absolutely worth it.