Olvy VS Flagship.io

With Olvy's powerful release note tool, announce new features with beautiful and effective in-app widgets and standalone pages, and see your release feedback turn into insights.

Some of the main features of Olvy are listed below:

In-App Widget - Install directly in-app. Personalize to match your UI. No code required. Get your users’ attention by magically engaging your visitors with eye-catching in-app notification widgets.

Standalone Page - Public product changelog with custom domain and SEO All your releases in one place! Make it easy for your users to browse your past feature updates at their own leisure by hosting them on a dedicated site.

User Feedback - Sentiment Analysis on your user comments See what your users really think about your latest updates with feedback from reactions and comments on releases. You can analyze the results of your releases with Olvy's unique sentiment analysis feature, where you can get a quick understanding of whether the user feedback is positive or negative.

Olvy Dashboard - Forge the path ahead by understanding how your features are performing A powerful dashboard that completes the journey of your feature that starts from the release and ends at the analysis of how it performed, powered by our unique sentiment analysis technology.

With countless other wonderful things in the shop, you make your product team’s life easier with Olvy.

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship.io, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship.io, you can:

• Switch features on or off through remote config.
• Separate code deployments from future releases.
• Automatically roll-out your features gradually.
• Roll back any feature should any issues arise.
• Segment users by granting access to a feature based on certain user attributes.
• Carry out A/B tests by easily assigning feature variations to groups of users.