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Orrin

Paid
★ 1 • Updated Jul 1, 2026, 09:13 PM

Orrin is an operational intelligence tool that connects Slack and Linear, enabling startups to ask natural language questions about company operations and receive instant, synthesized answers.

Use Cases ▼
01

Ask about the status of a delayed project without searching Slack and Linear manually.

02

Retrieve past decisions and their rationale from Slack threads.

03

Check why a specific Linear issue is blocked and see related discussions.

04

Onboard new hires by letting them query ongoing initiatives and team context.

05

Reduce unnecessary pings to coworkers by providing self-serve answers.

06

Prepare for standups or meetings by quickly catching up on what happened overnight.

What Problem It Solves ▼

Orrin solves the problem of fragmented operational knowledge scattered across Slack and Linear. Teams often waste time searching for project updates, past decisions, or ticket statuses, leading to context switching and delays. Orrin centralizes this information behind a simple question-answering interface, making critical details accessible instantly.

Key Features ▼
✓

Provides instant answers with confidence scores for reliability assessment.

✓

Integrates directly with Slack and Linear for comprehensive data indexing.

✓

Shows supporting evidence (Slack snippets, Linear ticket references).

✓

Quick and straightforward workspace connection process.

✓

Reduces manual searching across multiple communication and project tools.

Overview

Orrin is an operational intelligence tool that connects Slack and Linear, enabling startups to ask natural language questions about company operations and receive instant, synthesized answers. It indexes conversations, issues, and statuses from these tools to form a unified company memory. By bypassing manual searches, Orrin aims to streamline how teams access information, reducing time to insight and interruption. The service provides evidence snippets and a confidence score with each answer, ensuring transparency and trust in the responses. It is designed to be easily set up by connecting a workspace and requires no additional maintenance.

Pros & Cons

Pros

+

Provides instant answers with confidence scores for reliability assessment.

+

Integrates directly with Slack and Linear for comprehensive data indexing.

+

Shows supporting evidence (Slack snippets, Linear ticket references).

+

Quick and straightforward workspace connection process.

+

Reduces manual searching across multiple communication and project tools.

Cons

−

Limited to Slack and Linear; no support for other common tools like Jira or Teams.

−

Paid service, and no free tier mentioned on the homepage.

−

Answer accuracy depends on the completeness and quality of indexed data.

−

May miss critical context residing in tools outside the integration scope.

−

Confidence scores may not perfectly reflect answer correctness in all cases.

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