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Activity Racoon

Updated July 29, 2026

Overview / Description

Activity Racoon is an AI data analytics tool for engineering teams that connects developer systems and turns raw activity into delivery insights. It ingests data automatically from tools like GitHub, Jira, Slack, Linear, GitLab, Azure DevOps, ClickUp and Trello, with historical backfill and zero manual entry. On top of that activity it builds six layers of insight: automatic activity collection, AI sprint analysis (narrative summaries, scope-creep detection and risk scoring), a developer timeline that visualizes flow state and focus blocks, pull-request analytics for review latency and merge funnels, engineering metrics including DORA, cycle time, lead time and deployment frequency, and delivery forecasting with confidence ranges. The result is a single dashboard combining velocity, burndown, deployments and team health so leaders can see where teams lose time and predict ship dates before promising them. Activity Racoon emphasizes privacy by design, processing only what is needed to classify engineering work, retaining only actionable insights, and stating it never sells or shares developer data. Pricing is described as simple per-seat pricing with monthly and annual options and a free tier, though exact rates are not published on the site. It is aimed at engineering leaders who want visibility into delivery beyond commit counts.

Used For

Best for engineering leaders who want automated delivery visibility (DORA metrics, sprint risk, forecasts) across GitHub, Jira and Slack.

Pricing

Per-seat

Free

Simple per-seat pricing with monthly and annual options and a free tier; specific rates not published — contact Activity Racoon.

View pricing

Pros & Cons

Pros

  • Auto-ingests from GitHub, Jira, Slack, Linear, GitLab, Azure DevOps, ClickUp and Trello with historical backfill and no manual entry
  • AI sprint analysis with narrative summaries, scope-creep detection and risk scoring
  • DORA metrics, cycle time, lead time and deployment frequency in one dashboard
  • Pull-request analytics for review latency and merge funnels, plus a developer flow timeline
  • Delivery forecasting with confidence ranges, and privacy-by-design that avoids selling developer data

Cons

  • Exact per-seat rates are not published on the site, so buyers must estimate cost
  • Activity-based engineering metrics can be misread as individual productivity scoring
  • Value depends on how many of your dev tools are connected and how clean their data is
  • Overlaps with established engineering-analytics incumbents, so differentiation may be unclear

Questions & Answers

Alternatives

LinearB, Swarmia

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