LaunchDarkly

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923 reviews
  • 1 profiles
  • 15 categories
Average star rating
4.5
#1 in 1 categories
Grid® leader
Serving customers since
2014
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LaunchDarkly Reviews

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Profile Name
Star Rating
633
271
15
3
1
Mridul B.
MB
Mridul B.
Software EngineerSmall-Business (50 or fewer emp.)
10/27/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Easy Flag Management with Clear Evaluation History

It’s very straightforward to view the flag evaluation history. I also like that changes apply immediately, and that it’s easy to customize which parameters we’re using, along with the complexity of the rules.
Verified User in Human Resources
UH
Verified User in Human Resources
Mid-Market (51-1000 emp.)
10/27/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Easy Feature Testing, But Segmenting Large User Groups Feels Laggy

I like that I'm able to easily test and launch features to certain user groups
Jean Paul R.
JR
Jean Paul R.
Mid-Market (51-1000 emp.)
10/27/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Reliable Feature Flags, Powerful Controls—But Targeting Takes Practice

I use LaunchDarkly to quickly turn features on or off across environments without having to do a full release. I like that the UI is reasonably simple, the MCP integration works well with my coding agents, and I can ask them to check whether a feature is on or off. I also find the metrics useful for seeing when a flag has been evaluated and how many times it has been used. It has pretty good response times, and I haven’t seen an outage in at least five or six years.

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HQ Location:
Oakland, CA

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What is LaunchDarkly?

LaunchDarkly is the runtime control platform for the AI era. As AI accelerates the volume and speed of change, teams face a lose-lose tradeoff: slow down to stay safe, or ship fast and risk production. LaunchDarkly moves control to where it matters most, production itself. Through CodeControl and AgentControl, LaunchDarkly gives teams the ability to progressively release changes, observe real-world impact, and instantly roll back or adapt all without redeploying. The result is speed and safety together: ship AI-built code with confidence, keep AI agents in check, and adapt in real time instead of slowing down to stay in control.

Details

Year Founded
2014