What became possible in your product with Astra that was not practical before?
Maker
Before GPT-6 Astra, maintaining a hyper-localized directory like Baltic Launch meant manually hunting down new GitHub repos, Product Hunt launches, and local accelerator cohorts across Lithuania, Latvia, and Estonia—a process plagued by outdated data and dead links.
With Astra, we built an autonomous agentic pipeline that performs continuous multi-step web research. Astra doesn't just parse text; it uses browser tools to navigate regional tech hubs (like Startup Lithuania or Startin.LV), programmatically verifies if a submitted app is actually live, runs automated frontend QA checks to evaluate product quality, and generates structured profile data complete with tech stack detection.
This level of autonomous, self-healing data curation across fragmented regional databases was practically impossible before, as traditional models lacked the multi-step resilience and precise tool-handling required to maintain an up-to-date registry without constant manual intervention.