Auto-fetch and ingest article abstracts into reference managers

Auto-fetch and ingest article abstracts into reference managers targets a $1.20B = 20M researchers & grad students x $60/year subs total addressable market with medium saturation and a year-over-year growth rate of 8% CAGR driven by digital research tooling adoption.

Key trends driving demand: Open-access growth -- Increases volume of freely accessible abstracts and reduces legal friction for automated ingestion, expanding addressable content.; AI/NLP advances -- Better OCR and LLM summarization allow accurate extraction from PDFs and disambiguation of metadata, enabling higher-quality abstracts.; Integration-first workflows -- Researchers prefer tools that plug into existing managers and writing tools, favoring plugin/extension-led distribution.; Publisher API availability -- More publishers expose robust metadata/APIs, reducing the need for brittle scraping and enabling official data ingestion..