
Private, local-first AI meeting memory and transcription for Mac users.

Product memo
Provides Mac users with a private, local-first AI workspace for meeting memory and transcription. It processes all data on-device, ensuring privacy and user control. This approach appeals to consultants, founders, and operators who handle sensitive information and need secure, editable transcripts, speaker-aware notes, and a searchable knowledge base.
For who
Consultants, founders, and operators on Mac
Solves what
Private, local-first AI meeting memory and transcription for Mac users
- Local transcription and AI processing
- Speaker-aware notes
- Searchable meeting archive
In their own words
Private meeting memory you control.
A local-first AI notetaker for consultants, founders, and operators who need editable transcripts, speaker-aware notes, and searchable meeting memory that stays on their Mac.
Your private, local-first AI workspace
Commercial cues
Model
free only
Free tier
Yes
Trial
14d
Pricing Strategy
Threadfork offers a free Pro tier, with Enterprise handled through custom pricing.
- • A 14-day trial lets users test full functionality before committing.
- • Custom Enterprise pricing handles larger teams and specific deployment needs.
- • Free Pro tier lowers testing friction.
Operator context
Operating setup
Founded
Nov 2025
Platform
Desktop
Audience
Founders
Social footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About threadfork Expand
Threadfork offers a private, local-first AI meeting memory and transcription product built specifically for Mac users. It processes all meeting data directly on the user's device, ensuring privacy and giving users complete control over their sensitive information.
This makes it a practical choice for consultants, founders, and operators who require secure, editable transcripts, speaker-aware notes, and a searchable knowledge base without relying on cloud storage. The product focuses on core features like local transcription, speaker identification, AI summaries, semantic search, and a knowledge graph, all designed to enhance meeting recall and organization while prioritizing user data security.

