Work in progress: 181,232 of 181,233 sites checked so far, more every week · updated 2 Nov 2026Missing a blog? Tell us

Top all-time · #7940

K

Kenny Bastani

Personal blog · kennybastani.comprogrammingsystems

Kenny Bastani's personal blog at kennybastani.com covers programming and systems. Since 2014, 10 different Hacker News readers have linked it 26 times, most often “How Neo4j Cypher Queries are Evaluated”. It is still writing: the last post was on 2025-09-18, and you can follow it by feed.

Visit the blog
26mentions?
10HN people?
2014–2024first – last linked?
Links on Hacker News per year · peak 7 in 2014

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers link Kenny Bastani's blog for hands-on tutorials on Neo4j, Java and Spark, including a sentiment analysis walkthrough. The comments cite the posts as resources rather than judging them.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

A blog about building software. Open source examples and tutorials of microservices, distributed systems, and cloud-native applications.

Most-linked posts?

  1. How Neo4j Cypher Queries are Evaluated
    2 people · 2 mentions · first linked 2014-07-10
  2. Getting Started with Apache Spark and Neo4j Using Docker Compose
    2 people · 2 mentions · first linked 2015-03-10
  3. Strangling your systems-of-record with Microservices
    2 people · 2 mentions · first linked 2016-08-30
  4. Using a Graph Database for Deep Learning Text Classification
    2 people · 2 mentions · first linked 2014-08-27

What Hacker News says?

  1. Here's everything you need with Java and Neo4j. You might need to swap out Google Cloud NLP, since it's prohibitively expensive for research. https://www.kennybastani.com/2019/09/sentiment-analysis-on-t...

    Comment linking /2019/09/sentiment-analysis-on-twitter-data.html

    on “Evidence of massive-scale emotional contagion through social networks (2014) [pdf]”
  2. Submitted Deep Learning Sentiment Analysis for Movie Reviews Using Neo4j as a story · 43 points

    HN discussion
  3. Does this get you closer to where you need to be? http://www.kennybastani.com/2015/03/spark-neo4j-tutorial-doc...

    Comment linking /2015/03/spark-neo4j-tutorial-docker.html

    on “Stonebraker Explains Oracle's Obsolescence, Facebook's Challenge”
  4. Submitted Strangling your systems-of-record with Microservices as a story · 13 points

    HN discussion
  5. Submitted How Neo4j Cypher Queries are Evaluated as a story · 7 points

    HN discussion
  6. Submitted Hierarchical Pattern Recognition as a story · 7 points

    HN discussion
  7. Submitted Show HN: Microservices with Polyglot Persistence Using Spring Cloud and Docker as a story · 4 points

    HN discussion
  8. Submitted Building Event-Driven Microservices Using CQRS and Serverless as a story · 3 points

    HN discussion
  9. Submitted Show HN: Creating a PageRank analytics platform using Spring Boot microservices as a story · 3 points

    HN discussion
  10. Submitted Using a Graph Database for Deep Learning Text Classification as a story · 3 points

    HN discussion
  11. Submitted Using a Graph Database for Deep Learning Text Classification as a story · 3 points

    HN discussion
  12. Submitted From Microservices to Service Blocks Using Spring Cloud Function and AWS Lambda as a story · 2 points

    HN discussion
  13. Submitted Event Sourcing in Microservices Using Spring Cloud and Reactor as a story · 2 points

    HN discussion
  14. Submitted Using Graph Analysis to Decompose Monoliths into Microservices with Neo4j as a story · 2 points

    HN discussion
  15. Submitted Getting Started with Apache Spark and Neo4j Using Docker Compose as a story · 2 points

    HN discussion
  16. Submitted Categorical PageRank Using Neo4j and Apache Spark as a story · 2 points

    HN discussion
  17. Submitted Understanding How Neo4j Cypher Queries are Evaluated as a story · 2 points

    HN discussion
  18. Submitted Collaborative Cognitive Memory in AI Systems as a story · 1 points

    HN discussion
  19. Submitted AGI and GPT Algorithm Explained as a story · 1 points

    HN discussion
  20. Submitted Synthesizing the Pinnacle of Pattern Recognition in GPT-3 and GPT-4 as a story · 1 points

    HN discussion
  21. Submitted Procedurally Created Reality Using Generative AI as a story · 1 points

    HN discussion
  22. Submitted The Red Herring of Consciousness as a story · 1 points

    HN discussion
  23. Submitted Building Microservices That Strangle Legacy Systems as a story · 1 points

    HN discussion
  24. Submitted Building Microservices with Spring Cloud and Docker as a story · 1 points

    HN discussion
  25. Submitted Using Apache Spark and Neo4j for Big Data Graph Analytics as a story · 1 points

    HN discussion
  26. Submitted Building a Graph-based Analytics Platform as a story · 1 points

    HN discussion

Search all of HN for kennybastani.com