The hottest Search Engine Substack posts right now

And their main takeaways
Top Technology Topics
Vigneshwarar’s Newsletter • 181 HN points • 09 Apr 23
  1. The current HackerNews ranking algorithm is based on a simple formula involving points, age, and a constant factor.
  2. Proposing a new approach called HackerRank that incorporates PageRank-like scoring for user profiles based on upvotes and takes flagging into account.
  3. Additional ideas for improving the ranking algorithm include considering user submission upvotes, reading time, and website reputation.
Pryor Questions • 6 HN points • 07 Feb 24
  1. Google's algorithm update prioritizes user-centric content, focusing on authenticity, expertise, and discouraging over-optimized strategies.
  2. The shift towards brand authority and user-generated content poses challenges for small businesses and independent content creators in ranking on Google.
  3. Video content, establishment of expertise, and a presence on various platforms are highlighted as essential strategies to adapt to the evolving SEO landscape.
Technology Made Simple • 99 implied HN points • 29 Jan 23
  1. Design complex systems by layering multiple smaller solutions for better results instead of focusing on individually engineered tasks.
  2. Building a search engine like Google involves accommodating various types of search results like images, text, gifs, and videos while ensuring search quality.
  3. Handling the massive scale of data in Google's search engine system involves using semi-supervised labeling techniques to manage unlabeled data efficiently.
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superartificial • 19 implied HN points • 03 Mar 23
  1. YouTube is teasing new AI tools for creators, including generative AI tools and a creation feature for recording Shorts.
  2. Microsoft is integrating its new AI-powered Bing search into the Windows 11 taskbar, along with a Bing chat feature.
  3. AI is becoming increasingly prominent in tech companies like YouTube and Microsoft, showcasing its importance for the future.
Machine Economy Press • 3 implied HN points • 01 Dec 23
  1. Perplexity AI is working on improving search experience with large language models (LLMs).
  2. Their models offer real-time access to internet data and aim to provide accurate and up-to-date information.
  3. Perplexity's funding and partnerships with major companies like Amazon are crucial for their success and competitiveness in the search engine market.
Pratik’s Pakodas 🍿 • 8 implied HN points • 09 May 23
  1. In certain scenarios, companies use 2 types of hybrid search: weighted scoring and filter and rerank, especially prevalent in e-commerce.
  2. GPT can be leveraged for query understanding to parse out complex queries and populate Elasticsearch/Solr with detected entities.
  3. Although using GPT-4 for this purpose may be costly and slow, training an open-source model like MPT-7B can be a more viable option.
Links I Would Gchat You If We Were Friends • 59 implied HN points • 25 Nov 20
  1. Google's star ratings for recipes in search results don't reflect the actual quality of the recipes, and sites can manipulate these ratings for more traffic.
  2. Recipe sites often rely on rich snippets and Google star ratings to attract clicks, leading to a lack of consistency and standardization in the ratings.
  3. Simply Recipes stood out with unusually high average ratings, raising suspicions about the authenticity of the ratings across popular food publications.
Machine Economy Press • 2 implied HN points • 07 Apr 23
  1. Google plans on adding conversational A.I. features to its search engine due to competition from ChatGPT and the Generative A.I. industry.
  2. Google is behind in LLMs technology compared to other companies, like Microsoft with its partnership with OpenAI.
  3. The move to embed Bard into Google's search engine reflects the company's efforts to keep up with advancements in artificial intelligence.
B2B SEO & Growth with Annika Helendi • 0 implied HN points • 10 Feb 24
  1. Perplexity AI offers direct answers with trusted sources, potentially replacing Google search for many users.
  2. Perplexity AI provides tools for focused searches, better data, and organization, assisting marketers with deep dives and project management.
  3. Consider the Pro plan for benefits like unlimited Copilot queries and enhanced file uploads, useful for in-depth marketing tasks and strategy development.
Reflective Software Engineering • 0 implied HN points • 27 Oct 22
  1. When developing a domain model, keep it concise with abstractions related to the problem being modeled. Consider how to handle search queries that involve third-party data not directly stored in the model.
  2. Avoid growing your domain model extensively to accommodate indirect relationships with third-party systems. This can lead to increased coupling, maintenance challenges, and data movements.
  3. Implement a solution using a CompositeKeywordProvider and asynchronous worker to fetch and manage keywords from various sources in a microservice architecture. Decouple keyword generation from data writing and searching, enabling a flexible and efficient search functionality.
Links I Would Gchat You If We Were Friends • 0 implied HN points • 06 Jul 15
  1. Teenagers are using 9/11 in memes, possibly to give meaning to digital artifacts.
  2. Google is evolving beyond a search engine and making strides towards global domination.
  3. The upcoming election is being dubbed the 'selfie election,' indicating a shift in political engagement towards photo opportunities over traditional campaigning.
Links I Would Gchat You If We Were Friends • 0 implied HN points • 18 Jun 14
  1. The Internet gives us access to a lot of information, but it doesn't always encourage a deeper understanding or reflection.
  2. Despite claiming to prefer in-depth articles on serious topics, people often gravitate towards clickbait and lighter content.
  3. There's always room for more emoji - like jellyfish, cardigan, and popcorn - in our digital communications.