Show HN: I built a service to discover rapidly growing Google search topics (trennd.co)

Article summary

The creator of Trennd, a service to discover rapidly growing Google search topics, built the app using Next.js React framework, Express, Bootstrap, and MongoDB. The app continually monitors the web for interesting keywords and topics, classifying them using Google Trends data. The service generates keyword ideas by crawling the web in places like Twitter, Reddit, and Facebook. The creator is open to suggestions for improvement and expansion of the service.

Main themes

• trend analysis
• Google Trends data
• keyword generation
• web crawling
• service improvement

What commenters say

• The service's reliance on crawling Twitter, Reddit, and Facebook may introduce biases into the data, skewing trends towards tech-related topics.
• Adding the ability to sort trends by country or location could be a valuable feature for users.
• The service's method of calculating trends using the gradient of the line of best fit over different timeframes may not be entirely accurate.
• The creator should consider making the keyword generation part of the service open-source to allow for community contributions and improvements.
• The service could benefit from filtering out noise and crud more effectively, potentially using more advanced algorithms or machine learning techniques.
• Real-time trend data would be a valuable addition to the service, but may be limited by Google Trends' rate limiting.
• The service's usefulness could be expanded by including actual search volume numbers as a line on the chart, in addition to the normalized data currently provided.