# Linear API Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/linear-api
> Markdown URL: https://aitinkerers.org/technologies/linear-api.md
> Technology record last updated: 2026-02-23T04:46:02Z
> Generated: 2026-09-21T04:43:02Z

The Linear API is a powerful GraphQL interface for querying and mutating all workspace data (issues, projects, cycles), supporting real-time synchronization via webhooks.

Linear provides a robust GraphQL API, the same high-performance interface used internally, for full read and write access to your workspace data. This API enables flexible data fetching, ensuring you retrieve only the fields you need, and supports real-time synchronization using webhooks for critical models like issues and comments. Authenticate securely via Personal API keys for private scripts or use OAuth 2.0 for public third-party applications. Leverage this API to build custom integrations, like automating task assignment based on specific labels or syncing issue status across platforms for streamlined reporting.

- Official technology site: https://developers.linear.app/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [SecureClaw: Building a Secure AI Agent Wrapper, Live Dev Workflow](https://tokyo.aitinkerers.org/talks/rsvp_VtmrCXF7m0Q)

Carapace (a.k.a. SecureClaw) is a security layer for AI agents that prevents credential leakage and unauthorized access. It network-jails the agent in Docker with no DNS, routes all traffic through a MITM proxy with phone-based domain approval, and hides API credentials behind restrictive host-side proxies. The agent can read your email but never sees the API key, and can't send without you.

- Event context: AI Tinkerers Tokyo - Toranomon Meetup - February 19, 2026 — 2026-02-19 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_VtmrCXF7m0Q

### [Transcript-First CRM: Turning Call Recordings into Proposals, Summaries, and Account Intelligence](https://austin.aitinkerers.org/talks/rsvp_I-D1INcTSo0)

A walkthrough of our work-in-progress internal CRM built on Airtable that treats call transcripts as the primary data source rather than manual entry. I'll show the technical pipeline: Granola captures calls → transcripts flow through chained prompts to extract client needs, generate proposal drafts, and update account health scores → GitHub integrations pull in delivery context → weekly summaries get auto-generated for account managers. The interesting technical bits: prompt chaining architecture for going from raw transcript to structured proposal sections, how we handle context windows when stitching together multiple calls with the same client, and the surprisingly simple scoring system that flags accounts needing attention. This is held together with Airtable automations and API calls—I'll show what's working, what's duct-taped, and what's still broken.

- Event context: AI Tinkerers Austin: January 2026 Demo Night — 2026-01-23 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_I-D1INcTSo0

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