Product Introduction

1. SnapLinear is a web application that uses artificial intelligence to automatically identify action items from meeting recordings or transcripts and convert them into tasks within Linear. It eliminates manual effort by analyzing spoken or written content to detect commitments, deadlines, and responsibilities. The tool integrates directly with Linear’s API to ensure seamless task synchronization.
2. The core value lies in transforming unstructured meeting discussions into trackable engineering tasks with 90% less manual input. It reduces human error in task documentation and accelerates project kickoffs by instantly translating decisions into actionable workflows. Teams maintain full context through AI-generated summaries linked to each Linear task.

Main Features

1. The AI engine processes audio/video recordings or text transcripts using NLP models trained on technical project terminology, identifying action items with 98% accuracy across accents and jargon. It extracts task owners, due dates, and requirements through contextual analysis of dialogue patterns.
2. Automatic Linear synchronization creates tickets with pre-filled titles, descriptions, labels, and assignees based on extracted data. Tasks are mapped to correct Linear projects and sprints using predefined team rules or AI-driven priority assessments.
3. Customizable validation workflows allow manual review/adjustment of AI-generated tasks before sync, with version history for audit trails. The system supports 15+ meeting platforms (Zoom, Teams, Google Meet) and all Linear cloud instances through OAuth 2.0 integration.

Problems Solved

1. Engineering teams waste 6-8 hours weekly manually transcribing meeting notes and recreating tasks across tools, often missing critical details or deadlines buried in lengthy discussions. SnapLinear eliminates this friction through automated, context-aware extraction.
2. The product targets technical leads, project managers, and DevOps teams using Linear for agile development who require precise alignment between verbal commitments and tracked deliverables. It serves organizations with 5-200+ engineers conducting daily standups or sprint planning sessions.
3. Typical scenarios include converting post-mortem meeting action items into bug-fix tickets, transforming feature brainstorming sessions into user story tasks, and syncing cross-departmental commitments from executive reviews to engineering backlogs.

Unique Advantages

1. Unlike generic task converters, SnapLinear uses domain-specific AI models optimized for technical project management language, achieving 40% higher precision in detecting engineering-specific action items compared to alternatives. It preserves technical context like API endpoint references or error codes during task creation.
2. The patent-pending Temporal Context Engine correlates action items across meeting sequences, automatically adjusting Linear task deadlines when dependencies shift. This prevents deadline conflicts that occur when handling isolated meeting outputs.
3. Competitive edge comes from direct bi-directional sync with Linear’s API, enabling real-time updates between tasks and source meetings. When Linear tickets change status, the original meeting transcript annotations update automatically, maintaining full traceability.

Frequently Asked Questions (FAQ)

1. What meeting formats does SnapLinear support? The system processes MP4, MOV, WAV, MP3, and OGG files up to 500MB, along with text transcripts from Otter.ai or manual uploads. Video files are automatically transcribed using Whisper V3 ASR with speaker diarization.
2. How does the integration with Linear work? Users authenticate via Linear OAuth, then map SnapLinear outputs to specific Linear teams/projects. The system auto-configures webhooks to push tasks while maintaining Linear’s existing label schemas and custom fields through API alignment.
3. Can it handle multiple action items from one discussion point? Yes, the AI breaks complex dialogue blocks into discrete tasks using semantic segmentation, assigning sub-tasks with individual owners and dependencies when needed. A single statement like "We need API docs by Friday and SDK tests by John next week" generates two separate Linear tickets.