{"id":2667,"date":"2026-06-18T17:31:56","date_gmt":"2026-06-18T12:01:56","guid":{"rendered":"https:\/\/www.techjockey.com\/us\/blog\/?p=2667"},"modified":"2026-06-24T16:37:01","modified_gmt":"2026-06-24T11:07:01","slug":"feature-flag-tools","status":"publish","type":"post","link":"https:\/\/www.techjockey.com\/us\/blog\/feature-flag-tools","title":{"rendered":"7 Best Feature Flag Tools for Safer Software Development"},"content":{"rendered":"\n

Developing new software should not feel like a shot in the dark, where all the time and effort you put in still doesn\u2019t guarantee success. One minute, you are excited about a rollout, and the next, something breaks in production.<\/p>\n\n\n\n

This is exactly where feature flag tools come in (and timely so). By letting you release features safely, test with real users, and turn things on or off whenever needed, these tools, also known as flippers, simplify software engineering and shipping without needing to recode anything.<\/p>\n\n\n\n

If the developer in you too is looking to timely dodge all the oops moments and have a smooth release for your applications and tools, you have landed in the right place. Keep reading to explore our thoroughly researched feature flag tools list, where each tool is meant to make tech creation a lot more easy and little less scary.<\/p>\n\n\n\n

<\/span>What are Feature Flag Tools?<\/span><\/h2>\n\n\n\n

Feature flag tools, also called feature toggles, are software solutions that let developers or engineers turn specific features in an application on or off without requiring new code. These do not reflect all the changes thus made at once and instead let the teams handle feature visibility using configuration settings.<\/p>\n\n\n\n

In essence, these tools work just like switches, switching certain features on\/off for a certain group of users or certain environments like testing or production without making any changes to the code. This, so new features can be tested in real-time and user feedback on the same can be attained before a full release, reducing the risk of bugs or failures affecting everyone.<\/p>\n\n\n\n

<\/span>7 Best Feature Flag Tools to Watch Out for in 2026<\/span><\/h2>\n\n\n\n

Some of the most renowned feature flag tools are listed below for your convenience. You can pick one that fits your needs in the best manner and let software shipping be a cakewalk for your tech brand today and forever.<\/p>\n\n\n\n

Feature Toggle<\/th>Type<\/th>Key Strength<\/th><\/tr><\/thead>
LaunchDarkly<\/strong><\/td>Managed SaaS<\/td>Mature platform, strong governance<\/td><\/tr>
Optimizely Feature Experimentation<\/strong><\/td>SaaS<\/td>Advanced A\/B testing<\/td><\/tr>
Unleash<\/strong><\/td>Open-source feature flag management<\/td>Self-hosting, privacy control<\/td><\/tr>
Flagsmith<\/strong><\/td>Open-source feature flags & SaaS<\/td>Flexible deployment options<\/td><\/tr>
Statsig<\/strong><\/td>SaaS<\/td>Built-in analytics & experiments<\/td><\/tr>
Harness<\/strong><\/td>SaaS<\/td>CI\/CD integration<\/td><\/tr>
GrowthBook<\/strong><\/td>Open-source feature flags<\/td>Bayesian stats, SQL metrics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/span>1. LaunchDarkly<\/span><\/h3>\n\n\n\n
\"LaunchDarkly<\/figure>\n\n\n\n

LaunchDarkly is a feature management and feature flagging platform that helps software teams control how and when new features are released. It allows developers to turn features on or off without changing code, making it easier to test updates, fix issues, and release changes gradually.<\/p>\n\n\n\n

The software is best suited for development teams that want safer deployments, faster releases, and more control over the user experience.<\/p>\n\n\n\n

Key Features of LaunchDarkly:<\/strong><\/p>\n\n\n\n

    \n
  • Enables feature flagging to control feature releases without code deployment<\/li>\n\n\n\n
  • Supports gradual rollouts, canary releases, and A\/B testing<\/li>\n\n\n\n
  • Targets specific users or segments with dynamic feature delivery<\/li>\n\n\n\n
  • Decouples deployment from release for safer software delivery<\/li>\n\n\n\n
  • Offers real\u2011time feature toggling across applications<\/li>\n\n\n\n
  • Provides experiment frameworks for product testing and optimization<\/li>\n\n\n\n
  • Includes dashboards for feature monitoring and performance tracking<\/li>\n\n\n\n
  • Integrates with CI\/CD pipelines and developer tools<\/li>\n\n\n\n
  • Supports multiple environments (dev, staging, production)<\/li>\n\n\n\n
  • Maintains audit logs and governance controls<\/li>\n\n\n\n
  • Handles large\u2011scale deployments with low\u2011latency infrastructure<\/li>\n\n\n\n
  • Offers SDKs for multiple languages and platforms<\/li>\n<\/ul>\n\n\n\n

    Pro and cons of LaunchDarkly:<\/strong><\/p>\n\n\n\n

    Pros<\/p>

    • Reduces risk by enabling controlled feature releases<\/li>
    • Improves deployment flexibility and rollback capability<\/li>
    • Supports advanced targeting and experimentation<\/li>
    • Enhances developer productivity in CI\/CD environments<\/li>
    • Fits large engineering teams and enterprise workflows<\/li><\/ul><\/div>

      Cons<\/p>

      • Requires setup and integration into development workflows<\/li>
      • May feel complex for small teams or basic use cases<\/li>
      • Needs governance to manage large numbers of feature flags<\/li>
      • Costs can scale with feature usage and team size<\/li><\/ul><\/div><\/div>\n\n\n\n

        LaunchDarkly Pricing & Plans:<\/strong><\/p>\n\n\n\n

        Plan<\/th>Price<\/th><\/tr><\/thead>
        Developer<\/strong><\/td>0<\/td><\/tr>
        Foundation<\/strong><\/td>\nCode Control:<\/strong>
        \n10\/Service Connection\/month
        \n8.33 USD\/1k client-side MAU\/month

        \nAgent Control:<\/strong>
        \n5 USD\/1k AI runs past 5K\/month\n<\/td><\/tr>
        Enterprise<\/strong><\/td>Price on request<\/td><\/tr>
        Guardian<\/strong><\/td>Price on request<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

        <\/span>2. Optimizely Feature Experimentation<\/span><\/h3>\n\n\n\n
        \"Optimizely<\/figure>\n\n\n\n

        Optimizely Feature Experimentation is a feature flag tool designed for teams that want to test ideas before fully launching them. What sets it apart is its strong focus on controlled experiments; owing to which, teams can release a feature to a small group of users, measure how it performs, and compare results before rolling it out widely.<\/p>\n\n\n\n

        The said flipper acts as an ideal fit for product teams that rely on data and user behavior to guide product decisions.<\/p>\n\n\n\n

        Key Features of Optimizely Feature Experimentation:<\/strong><\/p>\n\n\n\n

          \n
        • Runs feature flags and experiments directly in application code<\/li>\n\n\n\n
        • Supports frontend, backend, mobile, and edge experimentation<\/li>\n\n\n\n
        • Enables gradual rollouts by user segment, % traffic, or ID<\/li>\n\n\n\n
        • Allows instant rollback or pause without redeployment<\/li>\n\n\n\n
        • Uses a built\u2011in statistical engine for accurate experiment results<\/li>\n\n\n\n
        • Provides A\/B testing and multi\u2011armed bandit optimization<\/li>\n\n\n\n
        • Includes AI\u2011driven experimentation and personalization<\/li>\n\n\n\n
        • Tracks metrics and user behavior with integrated analytics<\/li>\n\n\n\n
        • Offers SDKs and APIs for integration into dev workflows<\/li>\n\n\n\n
        • Supports centralized flag management and governance<\/li>\n\n\n\n
        • Maintains low\u2011latency performance across environments<\/li>\n<\/ul>\n\n\n\n

          Pro and cons of Optimizely Feature Experimentation:<\/strong><\/p>\n\n\n\n

          Pros<\/p>

          • Combines feature flags and experimentation in one platform<\/li>
          • Improves decision\u2011making with statistically reliable results<\/li>
          • Reduces risk with controlled rollout strategies<\/li>
          • Scales across teams, systems, and environments<\/li>
          • Accelerates product iteration with AI\u2011driven optimization<\/li><\/ul><\/div>

            Cons<\/p>

            • Requires technical setup and developer involvement<\/li>
            • May feel complex for basic feature flag use cases<\/li>
            • Needs governance to manage experiments and flags<\/li>
            • Better suited for mid\u2011market to enterprise teams<\/li><\/ul><\/div><\/div>\n\n\n\n

              Optimizely Feature Experimentation Pricing & Plans<\/strong>: Price on request<\/p>\n\n\n\n

              <\/span>3. Unleash<\/span><\/h3>\n\n\n\n
              \"Unleash<\/figure>\n\n\n\n

              Unleash is an open\u2011source feature flag management platform that gives teams full control over feature releases while keeping everything on their own servers. Its main strength is that it is open-source and self\u2011hosted, so companies do not have to rely on a third\u2011party cloud. This makes Unleash a good choice for organizations that care about data privacy, security, and control over their deployment setup.<\/p>\n\n\n\n

              Key Features of Unleash:<\/strong><\/p>\n\n\n\n

                \n
              • Provides feature flags with advanced rollout strategies and kill switches<\/li>\n\n\n\n
              • Supports gradual rollouts based on user segments, environments, and conditions<\/li>\n\n\n\n
              • Offers self\u2011hosted and managed deployment options (full control over data)<\/li>\n\n\n\n
              • Delivers FeatureOps control plane for managing releases at scale<\/li>\n\n\n\n
              • Includes role\u2011based access control (RBAC) and audit logs for governance<\/li>\n\n\n\n
              • Enables instant rollback to minimize downtime and release risk<\/li>\n\n\n\n
              • Supports experimentation and feature testing in production<\/li>\n\n\n\n
              • Runs reliably across distributed systems and microservices<\/li>\n\n\n\n
              • Integrates with CI\/CD pipelines and developer workflows<\/li>\n\n\n\n
              • Works in high\u2011security environments (air\u2011gapped, FedRAMP\u2011ready setups)<\/li>\n\n\n\n
              • Built as open\u2011source with strong community and extensibility<\/li>\n<\/ul>\n\n\n\n

                Pro and cons of Unleash:<\/strong><\/p>\n\n\n\n

                Pros<\/p>

                • Gives full data control with self\u2011hosting option<\/li>
                • Scales well for complex, multi\u2011service architectures<\/li>
                • Balances speed and governance with strong compliance features<\/li>
                • Supports continuous delivery without risky big\u2011bang releases<\/li>
                • Appeals to engineering teams with open\u2011source flexibility<\/li>
                • Offers a 14-day free trial<\/li><\/ul><\/div>

                  Cons<\/p>

                  • Requires setup and infrastructure management for self\u2011hosting<\/li>
                  • Less plug\u2011and\u2011play than fully managed SaaS tools<\/li>
                  • Requires managing feature flags carefully<\/li>
                  • May feel heavy for small teams or simple use cases<\/li><\/ul><\/div><\/div>\n\n\n\n

                    Unleash Pricing & Plans:<\/strong><\/p>\n\n\n\n

                    Plan<\/th>Price<\/th><\/tr><\/thead>
                    Open-Source<\/strong><\/td>0<\/td><\/tr>
                    Pay-As-You-Go<\/strong><\/td>75 USD\/seat\/month<\/td><\/tr>
                    Custom Enterprise<\/strong><\/td>Price on request<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                    <\/span>4. Flagsmith<\/span><\/h3>\n\n\n\n
                    \"Flagsmith<\/figure>\n\n\n\n

                    A feature flagging and remote configuration tool, Flagsmith lets teams control how features behave across different users, environments, and devices. The tool is known for its deployment flexibility, that is to say, it can be used in the cloud or self\u2011hosted, depending on company needs.<\/p>\n\n\n\n

                    It also combines feature flags with remote configuration, so teams can change app behavior without releasing new code, making updates faster and more controlled.<\/p>\n\n\n\n

                    Key Features of Flagsmith:<\/strong><\/p>\n\n\n\n

                      \n
                    • Controls feature releases across web, mobile, and backend systems<\/li>\n\n\n\n
                    • Supports both hosted (cloud) and self\u2011hosted deployments<\/li>\n\n\n\n
                    • Applies segmentation rules for targeting users and environments<\/li>\n\n\n\n
                    • Offers remote config alongside feature flags<\/li>\n\n\n\n
                    • Enables gradual rollouts, percentage releases, and instant toggling<\/li>\n\n\n\n
                    • Provides SDKs for multiple languages and platforms<\/li>\n\n\n\n
                    • Includes dashboards for managing flags and environments<\/li>\n\n\n\n
                    • Tracks feature usage with analytics and metrics<\/li>\n\n\n\n
                    • Supports A\/B testing through flag variations<\/li>\n\n\n\n
                    • Integrates with CI\/CD pipelines for continuous delivery workflows<\/li>\n\n\n\n
                    • Maintains audit logs and role\u2011based permissions<\/li>\n<\/ul>\n\n\n\n

                      Pro and cons of Flagsmith:<\/strong><\/p>\n\n\n\n

                      Pros<\/p>

                      • Gives flexibility with both cloud and self\u2011hosted options<\/li>
                      • Supports open\u2011source usage for customization<\/li>
                      • Fits teams that want control over infrastructure and data<\/li>
                      • Works well across different environments and tech stacks<\/li>
                      • Simplifies rollout strategies without needing redeployments<\/li>
                      • Offers a 14-day free trial<\/li><\/ul><\/div>

                        Cons<\/p>

                        • Requires setup effort for self\u2011hosted deployments<\/li>
                        • Needs process discipline for managing flags over time<\/li>
                        • May feel less advanced for experimentation vs premium tools<\/li>
                        • Scaling can require careful planning for governance<\/li><\/ul><\/div><\/div>\n\n\n\n

                          Flagsmith Pricing & Plans:<\/strong><\/p>\n\n\n\n

                          Plan<\/th>Price<\/th><\/tr><\/thead>
                          Free<\/strong><\/td>0<\/td><\/tr>
                          Start-Up<\/strong><\/td>45 USD\/month<\/td><\/tr>
                          Scale-Up<\/strong><\/td>300 USD\/month<\/td><\/tr>
                          Enterprise<\/strong><\/td>Price on request<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                          <\/span>5. Statsig<\/span><\/h3>\n\n\n\n
                          \"Statsig<\/figure>\n\n\n\n

                          Statsig focuses on helping teams make product decisions based on real user data. Instead of guessing whether a feature works, it lets teams measure how changes affect user behavior and business metrics. The feature toggle tool is largely known for its strong emphasis on experimentation and analytics built directly into feature rollouts, so teams can learn what works while the product is live, not after the fact.<\/p>\n\n\n\n

                          Key Features of Statsig:<\/strong><\/p>\n\n\n\n

                            \n
                          • Combines feature flags with built\u2011in analytics for every release<\/li>\n\n\n\n
                          • Attaches metrics to features to measure impact automatically<\/li>\n\n\n\n
                          • Supports controlled rollouts, scheduling, and staged releases<\/li>\n\n\n\n
                          • Triggers automatic rollback when performance drops<\/li>\n\n\n\n
                          • Offers advanced targeting based on user attributes and environments<\/li>\n\n\n\n
                          • Provides real\u2011time diagnostics for monitoring feature health<\/li>\n\n\n\n
                          • Runs lightweight A\/B tests using feature flags<\/li>\n\n\n\n
                          • Includes 30 plus open\u2011source SDKs for multiple platforms<\/li>\n\n\n\n
                          • Integrates with data warehouses and observability tools<\/li>\n\n\n\n
                          • Handles large\u2011scale traffic with high\u2011performance infrastructure<\/li>\n<\/ul>\n\n\n\n

                            Pro and cons of Statsig:<\/strong><\/p>\n\n\n\n

                            Pros<\/p>

                            • Reduces risk with automated rollback and monitoring<\/li>
                            • Links feature releases directly to business metrics<\/li>
                            • Speeds up experimentation without extra tooling<\/li>
                            • Scales for high\u2011volume applications and large user bases<\/li>
                            • Delivers strong value with cost\u2011efficient infrastructure positioning<\/li><\/ul><\/div>

                              Cons<\/p>

                              • Requires setup to integrate metrics and data pipelines<\/li>
                              • May feel analytics\u2011heavy for simple flagging needs<\/li>
                              • Needs thoughtful metric design for meaningful insights<\/li>
                              • Less ideal for teams wanting purely basic feature toggling<\/li><\/ul><\/div><\/div>\n\n\n\n

                                Statsig Pricing & Plans:<\/strong><\/p>\n\n\n\n

                                Plan<\/th>Price<\/th><\/tr><\/thead>
                                Developer<\/strong><\/td>0<\/td><\/tr>
                                Pro<\/strong><\/td>150 USD\/month<\/td><\/tr>
                                Enterprise<\/strong><\/td>Price on request<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                                <\/span>6. Harness<\/span><\/h3>\n\n\n\n
                                \"Split<\/figure>\n\n\n\n

                                Harness, as a feature management and experimentation tool, focuses on speed and control in software delivery by giving teams the ability to release features and run experiments without slowing down deployments.<\/p>\n\n\n\n

                                Its automation and built\u2011in safeguards help teams reduce risk when shipping changes and make it stand out from the rest. Because it tightly connects feature control with deployment pipelines, it works best for engineering teams that want faster releases without losing stability.<\/p>\n\n\n\n

                                Key Features of Harness:<\/strong><\/p>\n\n\n\n

                                  \n
                                • Embeds feature flagging directly into CI\/CD pipelines for release control<\/li>\n\n\n\n
                                • Supports progressive delivery with canary and staged rollouts<\/li>\n\n\n\n
                                • Enables feature control per environment (dev, staging, prod)<\/li>\n\n\n\n
                                • Automates rollbacks when issues are detected during releases<\/li>\n\n\n\n
                                • Uses GitOps workflows to manage flags as code<\/li>\n\n\n\n
                                • Provides dashboards to monitor flag usage and deployments<\/li>\n\n\n\n
                                • Includes policy\u2011based governance and approval workflows<\/li>\n\n\n\n
                                • Allows A\/B testing and experimentation for new features<\/li>\n\n\n\n
                                • Integrates deeply with the broader Harness platform (CI, CD, security, cloud)<\/li>\n\n\n\n
                                • Handles large\u2011scale usage with high MAU limits and performance infrastructure<\/li>\n<\/ul>\n\n\n\n

                                  Pro and cons of Harness:<\/strong><\/p>\n\n\n\n

                                  Pros<\/p>

                                  • Aligns feature flags closely with deployment pipelines<\/li>
                                  • Improves release safety with automated verification and rollback<\/li>
                                  • Centralizes DevOps workflows in a single platform<\/li>
                                  • Supports strong governance through policies and controls<\/li>
                                  • Scales well for teams already using CI\/CD automation<\/li><\/ul><\/div>

                                    Cons<\/p>

                                    • Depends on the broader Harness ecosystem for full value<\/li>
                                    • May feel heavy for teams needing only standalone flagging<\/li>
                                    • Requires DevOps maturity to use effectively<\/li>
                                    • Setup complexity higher than lightweight feature flag tools<\/li><\/ul><\/div><\/div>\n\n\n\n

                                      Harness Pricing & Plans:<\/strong><\/p>\n\n\n\n

                                      Plan<\/th>Price<\/th><\/tr><\/thead>
                                      Free Plan<\/strong><\/td>0<\/td><\/tr>
                                      Essentials Plan<\/strong><\/td>Price on request<\/td><\/tr>
                                      Enterprise Plan<\/strong><\/td>Price on request<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                                      <\/span>7. GrowthBook<\/span><\/h3>\n\n\n\n
                                      \"GrowthBook<\/figure>\n\n\n\n

                                      GrowthBook is a tool built for teams that want to experiment and test product changes using their own data. Instead of storing data inside the tool, it connects to existing data warehouses, so companies keep full control over their data. As a result, GrowthBook acts as a perfect fit for teams that care about data ownership and want flexibility in how experiments are run.<\/p>\n\n\n\n

                                      Key Features of GrowthBook:<\/strong><\/p>\n\n\n\n

                                        \n
                                      • Runs feature flags and experiments on top of your existing data warehouse<\/li>\n\n\n\n
                                      • Analyzes experiments using your own data (no data export required)<\/li>\n\n\n\n
                                      • Supports A\/B, multivariate, and sequential testing<\/li>\n\n\n\n
                                      • Applies advanced stats methods (CUPED, Bayesian, bandits)<\/li>\n\n\n\n
                                      • Uses lightweight SDKs for fast, local flag evaluation<\/li>\n\n\n\n
                                      • Offers visual editor for launching experiments without code<\/li>\n\n\n\n
                                      • Enables granular targeting with rules and user attributes<\/li>\n\n\n\n
                                      • Works across web, backend, and mobile environments<\/li>\n\n\n\n
                                      • Integrates with tools like Snowflake, BigQuery, Redshift<\/li>\n\n\n\n
                                      • Supports both cloud and fully self\u2011hosted deployments<\/li>\n\n\n\n
                                      • Combines feature flags, experimentation, and analytics in one platform<\/li>\n<\/ul>\n\n\n\n

                                        Pro and cons of GrowthBook:<\/strong><\/p>\n\n\n\n

                                        Pros<\/p>

                                        • Keeps full data ownership by using your warehouse<\/li>
                                        • Combines flags, experimentation, and analytics in one stack<\/li>
                                        • Offers open\u2011source flexibility and self\u2011hosting option<\/li>
                                        • Runs with minimal latency due to local evaluation<\/li>
                                        • Affordable compared to traditional enterprise tools<\/li><\/ul><\/div>

                                          Cons<\/p>

                                          • Requires a data warehouse for full functionality<\/li>
                                          • Needs technical setup for best results<\/li>
                                          • Advanced features limited to paid tiers<\/li>
                                          • Less plug\u2011and\u2011play than fully managed SaaS tools<\/li><\/ul><\/div><\/div>\n\n\n\n

                                            GrowthBook Pricing & Plans:<\/strong><\/p>\n\n\n\n

                                            Plan<\/th>Price<\/th><\/tr><\/thead>
                                            Cloud<\/strong><\/td><\/tr>
                                            Starter<\/strong><\/td>0<\/td><\/tr>
                                            Pro<\/strong><\/td>40 USD\/seat\/month<\/td><\/tr>
                                            Enterprise<\/strong><\/td>Price on request<\/td><\/tr>
                                            Self-Hosted<\/strong><\/td><\/tr>
                                            Open-Source<\/strong><\/td>0<\/td><\/tr>
                                            Enterprise<\/strong><\/td>Price on request<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                                            Conclusion<\/strong><\/p>\n\n\n\n

                                            Feature flag tools, as such, act as a crucial bridge between new software and users. By timely pulling the plug on problematic features, these help engineering teams safely release new tech without the need for fresh deployments.<\/p>\n\n\n\n

                                            If you thus happen to look out for a flipper for your business, the list of enterprise solutions and open\u2011source platforms detailed above is your best bet. Choose the right one depending on your team size, budget, and overall focus. Don\u2019t forget to call the Techjockey product team if you need any help while at it!<\/p>\n\n\n\n

                                            <\/p>\n","protected":false},"excerpt":{"rendered":"

                                            Developing new software should not feel like a shot in the dark, where all the time and effort you put in still doesn\u2019t guarantee success. One minute, you are excited about a rollout, and the next, something breaks in production. This is exactly where feature flag tools come in (and timely so). By letting you […]<\/p>\n","protected":false},"author":32,"featured_media":2717,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[218],"tags":[],"class_list":["post-2667","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software"],"acf":[],"yoast_head":"\n7 Best Feature Flag Tools in 2026 for Safe Software Releases & Testing<\/title>\n<meta name=\"description\" content=\"Discover top feature flag tools like LaunchDarkly, Unleash, and Flagsmith for controlled and risk-free software releases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.techjockey.com\/us\/blog\/feature-flag-tools\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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