![]() Similarly, you will need to pick the metrics to save in your database (for example, I track the total number of times a user started a new Google Meet from Slack, and periodically check if the app is still installed in the team workspace). How you implement Mongo will depend on the web framework of your choice, but Slack has decent documentation explaining what data is available to you and how you can ask for it programmatically. How I used MongoDB and Metabase to get better insightsĪs mentioned, I’m using a MongoDB to store the user and team data. It is clear that this is not enough data to understand the app’s usage, so I looked at ways to build my own data analytics. “This app has been installed on 3,756 active workspaces, and used by 19,902 users active within the past 28 days.” The sentence may look like this and is only updated every 24 hours: Unfortunately, Slack doesn’t give out much information about how your app is used, apart from one sentence at the bottom of your admin panel. Why native Slack metrics are not enough to track your app’s performance In this post, I’m going to cover how you can use Metabase to understand the metrics and usage of your Slack application. My application is a standalone Node.js server that stores the necessary user, team and analytics information in MongoDB. When developing applications for Slack, you are given the freedom to choose your framework and data store. ![]() Indie hackers are usually independent entrepreneurs and developers who work on various side projects with the hope of building profitable businesses. When I received an email saying the above about my first Slack side project, my indie hacker journey kick-started. “Your Slack application was approved and is now live in the App directory.” You can find Adam on LinkedIn and Twitter. He likes rock climbing, snowboarding and helping others reach their full potential. Adam is an indie hacker building apps for Slack and Shopify users.
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