Engineers & consultants lose 15 min daily — semantic auto-search fix

Engineers and consultants today typically lose about 15 minutes a day hunting for context across PRs, tickets, PDFs and slides, which adds up to roughly 75 hours per person per year and is especially painful for teams that span tools and time zones. This friction is felt by product and engineering teams, consulting groups, and ops teams—collectively represented by an addressable market of roughly 10 million teams willing to pay about $2,400 ACV, a $24.0B knowledge/enterprise search market. You could build an API-first semantic auto-search platform that ingests cross-format corpora, generates embeddings, and offers low-friction SDKs and integrations for IDEs, chat, browsers and Slack, plus per-team relevance tuning and shared collections for consultants and project teams. The timing is favorable: embeddings and LLMs now deliver relevance beyond keyword matching, distributed work increases demand for cross-connector search, and developer teams prefer programmable solutions—factors that support the market score and the 86/100 revenue potential indicated by the category. To stand out, prioritize developer ergonomics (small SDKs, fast indexing pipelines), robust enterprise connectors and privacy-preserving deployment options, and measurable SLAs for precision/recall so buyers can quantify the 15-minute savings. Expect real challenges: maintaining and testing connectors, controlling vector-storage and inference costs, and differentiating against established incumbents with larger datasets and sales reach, so plan for clear product-led adoption metrics and a focused initial vertical.