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Threadlit

A personal project that connects spoken questions, learning materials and concise explanations with sources — so you can stay with the lesson.

ROLE
Personal project
PROJECT
Study companion for macOS
STATUS
Coming soon

About the project

Coming soon · in development

For students and tutors

During a lesson, a question can be lost between the conversation and the textbook. Threadlit brings the question, the answer and the relevant source together, with history you can revisit.

How it works

Speak or dictate → find context in your materials → get an explanation with a source → revisit or export the result.

What the current development build includes

Dictation, question and answer history, answer versions, source references, transcript and answer export, focus mode, pause/resume and reconnection. A local Swift graph links imported materials for retrieval.

My personal project: product concept, brand, macOS application and the connection between speech, material retrieval and sourced answers.

There is a working macOS development build, but no public Mac App Store release. Speech recognition currently uses ElevenLabs; answers use a configured API or optional Codex integration. Fully local speech/AI, purchases and mobile apps are future work. Answers need source checking.

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