The hottest Data Trends Substack posts right now

And their main takeaways
Category
Top Technology Topics
Department of Product 353 implied HN points 08 Feb 24
  1. YouTube is focusing on subscriptions with over 100 million paying subscribers, positioning itself as a subscription superpower.
  2. Snap's stock slumped after Q4 results, but the company reached 7 million paid subscribers for its product.
  3. Google Maps introduced LLM search, enabling users to search using key phrases for recommendations in the US, with expansion planned.
CalculatedRisk Newsletter 19 implied HN points 25 Nov 25
  1. National house prices have gone up by 1.3% over the past year, showing some growth but still not strong compared to the past.
  2. Different areas are seeing big differences in house prices, with some regions like the Middle Atlantic doing well while others like the Pacific are struggling.
  3. Overall, many areas are facing slower price appreciation, and high mortgage rates are making homes less affordable for buyers.
Jeff-alytics 98 implied HN points 25 Apr 23
  1. Jeff Asher created a quiz on crime data and trends with interesting facts and questions.
  2. The quiz covers topics like murder rates, law enforcement reporting systems, and crime definitions.
  3. Readers can test their knowledge and learn new information through the quiz.
Datent 58 implied HN points 24 May 23
  1. The best predictions come from deep analysis of today's data challenges and trends.
  2. Data oracles provide valuable insights for the future by understanding present data trends.
  3. Data writers like Davenport, Moses, Madsen, and Thomas offer grounded observations and advice on data topics.
Erdmann Housing Tracker 42 implied HN points 19 Nov 24
  1. The author analyzed different housing data like Case-Shiller and rent inflation. It's interesting to see how these data points relate to each other.
  2. There are components in the Erdmann Housing Tracker that provide extra insights on the housing market. Comparing these with other measurements helps to understand trends better.
  3. The analysis is not meant for academic purposes, but it's a fun exploration of the data. It shows how digging into numbers can reveal patterns.
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Musings on Markets 19 implied HN points 09 Jan 19
  1. In 2019, a lot of companies around the world are included in the data analysis, and their classifications are based on geography and industry. This helps in understanding market trends more clearly.
  2. The U.S. firms are still the largest in terms of market value, but the emerging markets have a significant number of companies, highlighting diverse risks and opportunities.
  3. When analyzing financial data, it's important to remember that the numbers can change and may take time to update, so always verify information and be aware of timing issues.