Featurevisor – Git-based feature flags and experiments management
Why? - Decouple application deployment from releases How it works: - Make changes to your features and segments (YAMLs) via Pull Requests - Generate datafile (JSON file) in CI/CD workflow and upload to your CDN - Fetch datafile in your application runtime and consume with SDKs Supports: - Feature flags: boolean flags - Experimentation: a/b tests - Segments: targeting traffic with conditions - Variables: namespaced under each feature and conditional - Gradual rollouts: avoid big bang releases, go from 0% to 100% - Consistent bucketing: same user sees same variation - Multiple…
Featurevisor – Git-based feature flags and experiments management launched on April 24, 2023 with 48 votes, #1,462 of 4,853 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Featurevisor is a Git-based system for managing feature flags and A/B tests that decouples application deployment from feature releases. Teams define features and audience segments as YAML files through pull requests, which generate JSON datafiles stored on CDNs for applications to fetch at runtime. It supports boolean flags, gradual rollouts, consistent user bucketing across variations, audience targeting with conditions, environment-specific configurations, and analytics integrations. The approach allows teams to control feature availability and experiments without redeploying their applications.
written from the facts on this page · September 2026
From the sources
Manage your feature flags and remote configuration declaratively from the comfort of your git workflow.
Manage feature flags, experiments, and typed remote configuration as code. Review changes in Git, test before deployment, and evaluate locally with Featurevisor SDKs.
Flags, experiments and remote configuration, declared as YAML in your Git repository. A pull request to your repository, a build in your CI, a file on your CDN. There is no vendor in the middle. Attributes, segments, features and variables are files in one repository. Every change arrives as a pull request and is reviewed like any other. Your CI lints and tests on the pull request, then builds the datafiles on merge and uploads them to your CDN as static JSON. Applications fetch the datafile and evaluate every flag and variable in memory, on the web, on mobile and on the server. No request per lookup. One repository, one pipeline, one SDK call shape. What changes is the kind of answer you…from featurevisor.com
In the maker’s words, at launch
Why? - Decouple application deployment from releases How it works: - Make changes to your features and segments (YAMLs) via Pull Requests - Generate datafile (JSON file) in CI/CD workflow and upload to your CDN - Fetch datafile in your application runtime and consume with SDKs Supports: - Feature flags: boolean…
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