Day 19 Part 2: Hashtag Trends & Discovery + Buffer API Lifecycle Pattern Discovery

📰 Medium · Python

Learn to detect hashtag trends and discover new ones using Python and the Buffer API

intermediate Published 16 May 2026
Action Steps
  1. Build a trend detector using momentum scoring and lifecycle stages in Python
  2. Use the Buffer API to collect data on 12 ML hashtags that are currently trending
  3. Configure a discovery engine to find related hashtags
  4. Test the discovery engine using a set of sample hashtags
  5. Apply the trend detector to a larger dataset to identify emerging trends
Who Needs to Know This

Data scientists and marketers on a team can benefit from this knowledge to identify trending hashtags and optimize their social media campaigns

Key Insight

💡 Use momentum scoring and lifecycle stages to detect trending hashtags

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Discover trending hashtags with Python and Buffer API

Key Takeaways

Learn to detect hashtag trends and discover new ones using Python and the Buffer API

Full Article

Built trend detector (momentum scoring, lifecycle stages, 12 ML hashtags trending), discovery engine (related hashtag finder… Continue reading on Medium »
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