Research Digest
High-signal research should be ranked and distilled, not manually hunted.
Stack
SupabaseRAGRecSysAutomation
Description
A pipeline that gathers technical papers and posts, scores relevance, and returns concise summaries.
Context
Information overload slows builders; relevance filtering is the real bottleneck when trying to stay current.
System
Supabase with a RAG-style retrieval plus ranking and automation pipeline for personalized digest generation.
Intelligence
Retrieval and ranking use semantic similarity and source quality weighting to prioritize items most aligned with current interests and projects.
Iteration
Improved source quality filtering and ranking weights to reduce low-value results and improve daily signal-to-noise ratio.