Our Key Takeaways from AIConf 2026
Our team experience from AIConf 2026, exploring the latest trends in AI adoption, governance, and practical implementation strategies.
How we built a referral system without touching a single line of client code
A ticketing startup wanted to launch a referral program to acquire new event organizers, but their engineering team was stretched thin. They couldn't afford to build referral infrastructure into their core platform. Most referral solutions require deep integration with your billing and user systems. That wasn't an option. So we built something different—a platform-agnostic tracking system that increased organizer acquisition by 40%.
How we built an AI-Powered newsletter that increased ticket sales by 134%
A ticketing startup approached us with a familiar problem- they had thousands of users across dozens of cities, but their email marketing felt like shouting into the void. Generic blast emails. Low open rates. Even lower conversions.They needed a system that could understand their users—where they lived, what events they attended, what they might want next—and reach them with the right message at the right time.Here's how we built it.
What Actually Matters in AI for 2026: A Reality Check for Businesses
Discover the 3 defining AI trends for 2026. From agentic workflows to specialized models, Husig.ai breaks down what actually impacts your business ROI.
How we built a synthetic data platform that cut ML development time by 60%
Machine learning teams waste weeks waiting for production data access. Legal reviews, anonymization pipelines, compliance approvals—by the time data arrives, project timelines have slipped. We built Fabri, a synthetic data generation platform that gives ML teams realistic, privacy-safe datasets in minutes instead of weeks.