No features have been listed yet.
No Compose for Developers videos yet. You could help us improve this page by suggesting one.
Based on our record, Segment seems to be a lot more popular than Compose for Developers. While we know about 45 links to Segment, we've tracked only 1 mention of Compose for Developers. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / 6 months ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / 6 months ago
Segment for event collection and routing. - Source: dev.to / 7 months ago
Segment โ Customer data platform for tracking and analytics. - Source: dev.to / 10 months ago
And importantly the user data: like the signup, login events, message events back and forth between the user and AI, page visits etc are tracked with the help of Twilio segment. - Source: dev.to / over 1 year ago
``` Please let me know what you think! Website: https://composehq.com. - Source: Hacker News / 7 months ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.
Matomo - Matomo is an open-source web analytics platform
Retool - Build custom internal tools in minutes.
Glass Analytics - Google Analytics alternative that shows you exactly how visitors become customers.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.