Side project
Productivity app
Workflow startup
Flowers-Software
Mobile first
Turning content overload from multiple feeds into summarized insights and scheduled experiments
Redesigning a legacy task management system for scale and efficiency
Redesigning a legacy task management system for scale and efficiency
Keeping up with saved posts, articles, and newsletters can quickly become overwhelming. I often collect useful content, but turning it into clear insights and concrete actions is hard to fit into daily life.
Beets is an AI-powered mobile-first concept that turns content from multiple feeds into a structured knowledge board of summarized and categorized insights.
AI agents extract key takeaways, group them by theme, and build a searchable knowledge base. When an insight matches a user’s goals, Beets can turn it into an experiment and schedule it directly into an available calendar slot, with context, rationale, suggested steps, and success criteria.
Keeping up with saved posts, articles, and newsletters can quickly become overwhelming. Beets is an AI-powered mobile-first concept that turns content from multiple feeds into summarized, categorized insights.
AI agents extract key takeaways, group them by theme, and turn relevant insights into scheduled experiments with context, suggested steps, and success criteria.
Keeping up with saved posts, articles, and newsletters can quickly become overwhelming. Beets is an AI-powered mobile-first concept that turns content from multiple feeds into summarized, categorized insights.
AI agents extract key takeaways, group them by theme, and turn relevant insights into scheduled experiments with context, suggested steps, and success criteria.
CURRENT VERSION PLAN
V1
Manual sharing
Users manually share content directly to Beets.
The system summarizes it, categorizes it, stores it
in the knowledge board, and turns relevant insights into scheduled experiments.
V2
Automated monitoring
Users connect selected sources and preferences. Beets automatically discovers relevant content, updates the knowledge board, and turns relevant insights into scheduled experiments.
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