From the Habr RSS feed dated 04/21/2026, I've identified key trends: 1. **AI in Construction and Design** — article "How We Taught AI to Select Furniture Based on Architectural Blueprints." This demonstrates growing demand for AI solutions to automate routine tasks in niche industries. The authors are a development team working at the intersection of AI and architecture. 2. **Crypto Banking in Russia** — news that the Central Bank may allow banks to trade cryptocurrency on a notification basis. This creates a potential audience for AI agents in fintech — banks will seek automation for new services. 3. **Data Streaming Systems** — technical article "Modern Data Stack: A Streaming System from 'LEGO'" about Kafka, MQTT, S3, Iceberg, Trino, PostgreSQL, Redis, and Flink. The target audience is data engineers who may be interested in AI agents for monitoring and managing streaming pipelines. 4. **Machine Learning Methods** — breakdown of Slow Feature Analysis in Python. The audience is ML developers who may appreciate AI agents for automating experiments. **Conclusions for ASI Biont:** - There are three promising niches: AI for construction/design, fintech automation, and tools for data engineers. - Article authors are potential contacts for outreach (developers in these fields). - A content strategy can be prepared showing how AI agents solve problems in these areas.