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Comparison

How Vibe Flags compares to LaunchDarkly, Unleash, and PostHog.

Feature comparison

FeatureVibe FlagsLaunchDarklyUnleashPostHog
Framework agnosticYesYesYesYes
Zero config setupYesYesNoYes
BackendlessYesNoNoNo
No account neededYesNoNoNo
localStorage persistenceYesNoNoNo
AI-friendly HTML APIYesNoNoNo
Free and unlimitedYesNoYesNo
Bundle size~11KB~50KB+~20KB+~30KB+
Targeting rulesNoYesYesYes
Audit trailNoYesYesYes
A/B testing and analyticsNoYesNoYes
Server-side evaluationNoYesYesYes

Where Vibe Flags wins

Zero config, instant setup. No account, no API keys, no backend. Add one script tag and declare flags in HTML.

AI-native HTML API. Flags are plain HTML elements. LLMs and AI coding agents can read, write, and toggle them without learning any SDK. The markup is self-documenting.

Offline-first. State lives in localStorage. No network calls, no latency, works in airplane mode.

Tiny footprint. ~11KB gzipped with zero runtime dependencies.

No vendor lock-in. Open source, MIT licensed. No service to cancel or migrate away from.

Where enterprise tools win

LaunchDarkly, Unleash, and PostHog are built for production systems at scale. They offer things Vibe Flags intentionally does not:

  • Audit trails — who changed what flag, when, and why
  • Team management — role-based access control across engineering orgs
  • Analytics — A/B testing, conversion tracking, feature adoption metrics
  • Targeting rules — serve flags based on user attributes, cohorts, or percentages
  • Server-side evaluation — evaluate flags before rendering, for SSR or backend services

When to use Vibe Flags

  • You're prototyping or vibe-coding and want flags without infrastructure
  • You're building a static site, demo, or playground
  • You want AI agents to control feature flags directly in HTML
  • You need offline-first behavior with zero dependencies
  • You want a free, open-source solution with no vendor relationship

When to use an enterprise tool

  • You need production rollouts with gradual percentage-based targeting
  • You need user cohorts and audience segmentation
  • You have compliance requirements that need audit trails
  • You need server-side flag evaluation
  • You're running A/B tests that require statistical analysis

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