feat is a hosted feature-flag platform for early engineering teams. Server SDKs evaluate flags locally without a network request for each read, and changes stream to connected SDKs in under a second. Targeting rules can combine AND and OR conditions across users, devices, organizations, sessions, and requests. Sticky percentage rollouts keep a user, device, or organization on the same variation across requests and sessions. First-party SDKs are available for Node.js, Bun, Deno, Go, Python, Ruby, browser JavaScript, and Flutter/Dart; providers are also supplied for OpenFeature web, Node.js, and Dart SDKs. Metric sources include Segment, Mixpanel, PostHog, and custom sources. The Free plan includes 7,500 MAU, 100 server connections, two projects, unlimited environments, and unlimited flags. Starter is listed at 19.00 USD per month, billed $15/mo billed annually. Built-in experiments and Slack integration are listed as coming in Q3 2026, rather than as current features. Backend SDKs send no evaluation context to feat; browser SDKs report only hashed identifier-and-kind pairs for MAU counting. The company is based in India.
Who it is for
feat suits early engineering teams that need feature flags, targeting rules, and percentage rollouts across connected SDKs. Teams choosing a plan should compare its listed MAU and connection allowances.
What is good
- Server SDKs evaluate flags locally
- Changes stream in under a second
- Targeting rules combine AND and OR conditions
- Sticky rollouts retain variations across sessions
- Free tier includes unlimited environments and flags
What to know first
- Free plan has 7,500 MAU
- Free plan includes 100 server connections
- Experiments and Slack integration are not current features
Verdict
feat provides local server-side evaluation, targeting, and sticky rollouts with SDKs across several languages. Review plan limits and distinguish listed upcoming functions from current capabilities.
feat plans and pricing
All plansCompared on feature flag software
- Free plan
- Yes
- SDK languages
- JavaScript, Go, Python, Ruby, Cloudflare Workers
- Targeting rules
- Yes
- Percentage rollouts
- Yes
- User segments
- Yes
- Audit log
- Yes
- Approval workflows
- Yes
