Developer Builds Whisperer App to Turn Meeting Recordings Into Searchable Memory

A developer created Whisperer after realising that existing transcription tools failed to solve the core problem: nobody reads 18,000-word meeting transcripts. The app aims to convert recorded conversations into structured, queryable objects that capture decisions, action items, participants, and exact timestamps. A key feature lets users ask plain-language questions like 'What did we decide about billing?' and receive direct answers rather than raw text. The tool also tracks how decisions evolved across multiple meetings over time. A separate real-time translation feature was added to support multilingual teams, with low latency designed to keep conversations natural rather than disjointed.