Good Listener

Local transcriptions for therapists

Company
Client work
Role
Research, Ideation, Design, Prototype, Front End
Year
2026
Tags
UX, UI, Front End
Tech
Figma, Tauri, Svelte, Whisper, n8n, MCP servers, Langfuse, Claude API

Summary

Local AI transcription app for therapists. Privacy-first — runs entirely locally using Whisper models, no cloud uploads.

Problem

Psychology practices are buried in admin. The transcribe-anonymise-summarise-write-report pipeline repeats at every session, eating the time therapists most need for patients.

Process

1-hour user interview with a practicing psychologist in Amsterdam. Built a pain points framework with Claude categorising friction across cognitive, administrative, and relational dimensions. Documentation emerged as the most consistently painful category. Built multiple prototypes: DSM-5 MCP client (Ollama + local models), n8n/Scriberr transcription workflow, CLI bundling local Whisper models. Integrated Langfuse for tracing and eval-driven improvement.

Outcome

Shipped as a working prototype MVP — record, transcribe and diarize, running entirely on the therapist's own machine. It did not find adoption. Daniel ran the research, built the pain-points framework, designed the app and built the Tauri front end.

MVP

Record, transcribe, and diarize — runs entirely locally, easy to install. Designed in Figma, wrapped in Tauri for native macOS.

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