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Java Tech Enthusiast
Java Tech Enthusiast
Mar 29, 2025 · Frontend Development

Building a Twitter Image Card Browser Extension with Claude Sonnet and DeepSeek

In a side‑by‑side test on the Trae platform, the author used Claude Sonnet 3.5 to create a functional Twitter‑to‑image‑card browser extension in roughly twenty minutes, while DeepSeek‑R1 required multiple prompt iterations, manual bug fixes, and still produced visual glitches, demonstrating Claude’s superior reliability for frontend plugin generation.

AI code generationClaude SonnetDeepSeek
0 likes · 5 min read
Building a Twitter Image Card Browser Extension with Claude Sonnet and DeepSeek
Architect
Architect
Jun 10, 2023 · Artificial Intelligence

An Overview of Twitter’s Open‑Source Recommendation System Architecture

Twitter’s recently open‑sourced recommendation system is dissected, covering its overall architecture, graph‑based data and feature engineering, recall pipelines (in‑network and out‑of‑network), coarse and fine ranking models, mixing and re‑ranking stages, as well as the supporting infrastructure and code examples.

Twittergraph embeddingmachine learning
0 likes · 16 min read
An Overview of Twitter’s Open‑Source Recommendation System Architecture
Architecture Digest
Architecture Digest
Jun 2, 2023 · Artificial Intelligence

Overview of Twitter's Open‑Source Recommendation Algorithm

Twitter has open‑sourced its core recommendation algorithm, detailing its candidate sources, in‑network and out‑of‑network ranking models, graph‑based and embedding methods, and a comprehensive list of components that power the home timeline, with links to the GitHub repositories and engineering blog.

Artificial IntelligenceRecommendation AlgorithmTwitter
0 likes · 10 min read
Overview of Twitter's Open‑Source Recommendation Algorithm
Top Architect
Top Architect
Apr 4, 2023 · Artificial Intelligence

Overview of Twitter's Open‑Source Recommendation Algorithm Architecture

Twitter has open‑sourced its recommendation algorithm, detailing a complex pipeline of candidate sources, graph‑based models, embedding techniques, and ranking services that together generate personalized home‑timeline tweets for users.

Recommendation AlgorithmTwittermachine learning
0 likes · 9 min read
Overview of Twitter's Open‑Source Recommendation Algorithm Architecture
Java Architecture Diary
Java Architecture Diary
Apr 1, 2023 · Artificial Intelligence

Inside Twitter’s Open‑Source Recommendation Engine: Architecture & Key Components

This article examines the open‑source Twitter recommendation algorithm released by Elon Musk, detailing its main services, machine‑learning models, data sources, programming languages, and the GitHub repositories that host the core components such as SimClusters, TwHIN, rankers, and the Rust‑based navi framework.

Twitterbackend architecturemachine learning
0 likes · 5 min read
Inside Twitter’s Open‑Source Recommendation Engine: Architecture & Key Components
Selected Java Interview Questions
Selected Java Interview Questions
Nov 26, 2022 · Backend Development

Elon Musk’s Code Review at Twitter Unveils Timeline Mixer Architecture

Elon Musk visited Twitter’s headquarters for a code review, shared a group photo and detailed diagrams of the Timeline Mixer and Home Mixer components, highlighted performance and advertising insights, and sparked discussion with simplified and historical architecture comparisons, while also promoting a backend tech community and Java interview resources.

Code ReviewElon MuskTimeline Mixer
0 likes · 3 min read
Elon Musk’s Code Review at Twitter Unveils Timeline Mixer Architecture
Laravel Tech Community
Laravel Tech Community
Jun 6, 2022 · Artificial Intelligence

What an Open‑Source Twitter Algorithm Would Look Like: Architecture, Data Model, and Engineering Challenges

This article examines the practical aspects of open‑sourcing Twitter’s recommendation algorithm, covering the platform’s data model, timeline views, ranking features, a TypeScript pseudocode illustration, and the major engineering challenges of scale, real‑time processing, reliability, and security.

Large ScaleTwitteralgorithm
0 likes · 14 min read
What an Open‑Source Twitter Algorithm Would Look Like: Architecture, Data Model, and Engineering Challenges
IT Architects Alliance
IT Architects Alliance
Dec 23, 2021 · Backend Development

Designing a Scalable Twitter System Architecture: Requirements, Service Overview, and Detailed Microservice Design

This article outlines how to design Twitter from scratch using a microservice architecture, detailing functional and non‑functional requirements, service decomposition, scalability calculations, database schemas, and the interaction of components such as tweet, timeline, fan‑out, social‑graph, and search services.

Distributed SystemsMicroservicesTwitter
0 likes · 11 min read
Designing a Scalable Twitter System Architecture: Requirements, Service Overview, and Detailed Microservice Design
Top Architect
Top Architect
Dec 30, 2020 · Backend Development

Using Kafka as a Storage System for Twitter’s Account Activity Replay API

The article explains how Twitter built the Account Activity Replay API by repurposing Kafka as a storage layer, detailing the system’s architecture, partitioning strategy, request handling, deduplication, and performance optimizations to provide reliable event recovery for developers.

APIKafkaTwitter
0 likes · 8 min read
Using Kafka as a Storage System for Twitter’s Account Activity Replay API
Efficient Ops
Efficient Ops
Dec 11, 2017 · Databases

Inside Twitter’s Manhattan: How a Massive Distributed Database Powers Real‑Time Ads

The article explores Twitter’s Manhattan storage system, detailing its architecture, CAP trade‑offs across various database types, the design of its modular storage engines, high‑performance operations, and the DevOps practices that enable reliable, low‑latency handling of billions of requests in a massive distributed environment.

CAP theoremDevOpsDistributed Systems
0 likes · 14 min read
Inside Twitter’s Manhattan: How a Massive Distributed Database Powers Real‑Time Ads
Architecture Digest
Architecture Digest
Apr 28, 2016 · Backend Development

How Twitter Handles 3,000 Images Per Second: Architecture, Scaling, and Media Optimizations

The article explains how Twitter evolved from a text‑only service to a media‑rich platform capable of processing 3,000 images per second by decoupling upload and tweet creation, using handles instead of blobs, implementing resumable segmented uploads, applying TTL policies, and optimizing client‑side formats such as WebP and progressive JPEG.

Twitterbackend architectureimage pipeline
0 likes · 10 min read
How Twitter Handles 3,000 Images Per Second: Architecture, Scaling, and Media Optimizations
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Apr 25, 2016 · Backend Development

Twitter’s Media Platform: Scaling Image Uploads and Storage Optimizations

The talk by Twitter engineer Henna Kermani outlines how the Media Platform’s decoupled, resumable upload pipeline, handle‑based storage, TTL policies, on‑demand processing, and Progressive JPEG adoption enabled processing 3,000 images per second while cutting storage, compute costs and improving operational flexibility.

Image UploadStorage OptimizationTwitter
0 likes · 4 min read
Twitter’s Media Platform: Scaling Image Uploads and Storage Optimizations
Architects Research Society
Architects Research Society
Nov 13, 2015 · Artificial Intelligence

Building a Node-RED Twitter Sentiment Monitoring App on Bluemix

This tutorial explains how to create a Node-RED application on IBM Bluemix that monitors public Twitter streams for specified keywords, evaluates each tweet's sentiment, and automatically emails alerts for highly negative posts, all without writing code.

BluemixTwittercloud
0 likes · 9 min read
Building a Node-RED Twitter Sentiment Monitoring App on Bluemix