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Algorythm

Esco Obong, Ayda Sultan, Krystal Maughan, Aza Walker, Bryan Ofuokwu

Technical Insights from the Algorythm Community

Platform
Substack
PricingOnly free issuesPublishesWeekly
Issues5SubscribersRead algorythmorg.substack.com

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

Using LLMs to Build A Recommendation Engine

This publication is by members of the Algorythm Community. A network of 20k+ black software engineers sharing technical insights across all fields of software development. Join us on LinkedIn, Facebook and Subscribe for more insights.

9 days ago
9
0

Quantum Computing for Fun and Profit

This publication is by members of the Algorythm Community. A network of 20k+ black software engineers sharing technical insights across all fields of software development. Join us on LinkedIn, Facebook and Subscribe for more insights.

14 days ago
6
2

How ChatGPT Understands What You Mean

This publication is by members of the Algorythm Community. A network of 20k+ black software engineers sharing technical insights across all fields of software development. Join us on LinkedIn, Facebook and Subscribe for more insights.

23 days ago
11
0

Building A Game Boy Color Emulator in Rust

This publication is by members of the Algorythm Community. A network of 20k+ black software engineers sharing technical insights across all fields of software development. Join us on LinkedIn, Facebook and Subscribe for more insights.

a month ago
20
5

Authors

The writers behind this newsletter.

  • Esco Obong

    Senior SWE @ Airbnb (ex-Uber) I cover the full SWE journey: DSA interview prep → system design & scaling → working with LLM → career growth. Subscribe for practical frameworks and examples.

  • Ayda Sultan

    Disentangling my thoughts here.

  • Krystal Maughan

    PhD student currently working on Quantum-Safe Cryptography.

  • Aza Walker

    I like to talk about computers and games

  • Bryan Ofuokwu

    Applied AI @ Salesforce (ex-Microsoft) I write about LLMs, machine learning, and what actually works in production. Sometimes that means using cutting-edge models. Sometimes it means using simpler tools that get the job done faster and cheaper.

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