[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @VirendraCodes Virendra Codes Virendra Codes posts on X about searches, combo, realtime, #ai the most. They currently have XX followers and XX posts still getting attention that total XX engagements in the last XX hours. ### Engagements: XX [#](/creator/twitter::1798655114246533120/interactions)  - X Week XXX -XX% - X Month XXX +59% - X Months XXXXX +855% ### Mentions: X [#](/creator/twitter::1798655114246533120/posts_active)  - X Week XX -XX% - X Month XX +23% - X Months XXX +477% ### Followers: XX [#](/creator/twitter::1798655114246533120/followers)  - X Week XX no change - X Month XX +6.80% - X Months XX +142% ### CreatorRank: undefined [#](/creator/twitter::1798655114246533120/influencer_rank)  ### Social Influence [#](/creator/twitter::1798655114246533120/influence) --- **Social category influence** [stocks](/list/stocks) XX% [technology brands](/list/technology-brands) XX% **Social topic influence** [searches](/topic/searches) 10%, [combo](/topic/combo) 10%, [realtime](/topic/realtime) 10%, [#ai](/topic/#ai) XX% **Top accounts mentioned or mentioned by** [@vtambavekar239efb88fzomatodatabasecasestudyasystemdesigndataengineeringdeepdivece7a339f8279](/creator/undefined) [@vtambavekar239hownetflixsrecommendationsystemactuallyworksexplainedsimply1bb631fbb445](/creator/undefined) ### Top Social Posts [#](/creator/twitter::1798655114246533120/posts) --- Top posts by engagements in the last XX hours "Ever wondered how apps like AWS CloudWatch or Datadog collect logs from millions of servers in real time 🤔 Lets break down how youd design a Cloud Logging System a common High-Level Design (HLD) interview question for SDEs. ☁💻 #SystemDesign #HLD #Backend" [X Link](https://x.com/VirendraCodes/status/1982041238996910347) [@VirendraCodes](/creator/x/VirendraCodes) 2025-10-25T11:07Z XX followers, XX engagements "Ever wondered how Zomato handles millions of orders searches & reviews every day without crashing 🍽 Lets break down Zomatos database design and what developers can learn from it. #SystemDesign #Backend #Databases" [X Link](https://x.com/VirendraCodes/status/1979223746025083040) [@VirendraCodes](/creator/x/VirendraCodes) 2025-10-17T16:31Z XX followers, XX engagements "Zomato doesnt rely on a single database. It uses the right tool for each job 👇 - DynamoDB for fast reliable user & billing data - Elasticsearch for lightning-fast restaurant search - ClickHouse for analytics & logs at scale This combo keeps it both fast ⚡ and cost-efficient" [X Link](https://x.com/VirendraCodes/status/1979223750982750613) [@VirendraCodes](/creator/x/VirendraCodes) 2025-10-17T16:31Z XX followers, XX engagements "Just published a new blog on Medium 🚀 🧠 Zomato Database Case Study: A System Design & Data Engineering Deep Dive Learn how Zomato manages millions of orders using databases pipelines & real-time processing 🍽 Read here 👉 #SystemDesign #DataEngineer" [X Link](https://x.com/VirendraCodes/status/1979602169218113637) [@VirendraCodes](/creator/x/VirendraCodes) 2025-10-18T17:35Z XX followers, XX engagements "🎬 Ever wondered how Netflix knows what youll love next 👀 I just broke down how its recommendation system actually works in simple terms Read here 👇 🔗 #MachineLearning #Netflix #DevCommunity #AI" [X Link](https://x.com/VirendraCodes/status/1981223852933075316) [@VirendraCodes](/creator/x/VirendraCodes) 2025-10-23T04:59Z XX followers, XX engagements "🧩 Goal: Build a system that collects stores & lets users search logs from multiple apps/services. ⚙ Core components: - Collectors receive logs - Kafka (or similar) buffer & handle spikes - Processors parse/enrich Index store (Elasticsearch/ClickHouse) fast search" [X Link](https://x.com/VirendraCodes/status/1982041241840709743) [@VirendraCodes](/creator/x/VirendraCodes) 2025-10-25T11:07Z XX followers, XX engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@VirendraCodes Virendra CodesVirendra Codes posts on X about searches, combo, realtime, #ai the most. They currently have XX followers and XX posts still getting attention that total XX engagements in the last XX hours.
Social category influence stocks XX% technology brands XX%
Social topic influence searches 10%, combo 10%, realtime 10%, #ai XX%
Top accounts mentioned or mentioned by @vtambavekar239efb88fzomatodatabasecasestudyasystemdesigndataengineeringdeepdivece7a339f8279 @vtambavekar239hownetflixsrecommendationsystemactuallyworksexplainedsimply1bb631fbb445
Top posts by engagements in the last XX hours
"Ever wondered how apps like AWS CloudWatch or Datadog collect logs from millions of servers in real time 🤔 Lets break down how youd design a Cloud Logging System a common High-Level Design (HLD) interview question for SDEs. ☁💻 #SystemDesign #HLD #Backend"
X Link @VirendraCodes 2025-10-25T11:07Z XX followers, XX engagements
"Ever wondered how Zomato handles millions of orders searches & reviews every day without crashing 🍽 Lets break down Zomatos database design and what developers can learn from it. #SystemDesign #Backend #Databases"
X Link @VirendraCodes 2025-10-17T16:31Z XX followers, XX engagements
"Zomato doesnt rely on a single database. It uses the right tool for each job 👇 - DynamoDB for fast reliable user & billing data - Elasticsearch for lightning-fast restaurant search - ClickHouse for analytics & logs at scale This combo keeps it both fast ⚡ and cost-efficient"
X Link @VirendraCodes 2025-10-17T16:31Z XX followers, XX engagements
"Just published a new blog on Medium 🚀 🧠 Zomato Database Case Study: A System Design & Data Engineering Deep Dive Learn how Zomato manages millions of orders using databases pipelines & real-time processing 🍽 Read here 👉 #SystemDesign #DataEngineer"
X Link @VirendraCodes 2025-10-18T17:35Z XX followers, XX engagements
"🎬 Ever wondered how Netflix knows what youll love next 👀 I just broke down how its recommendation system actually works in simple terms Read here 👇 🔗 #MachineLearning #Netflix #DevCommunity #AI"
X Link @VirendraCodes 2025-10-23T04:59Z XX followers, XX engagements
"🧩 Goal: Build a system that collects stores & lets users search logs from multiple apps/services. ⚙ Core components: - Collectors receive logs - Kafka (or similar) buffer & handle spikes - Processors parse/enrich Index store (Elasticsearch/ClickHouse) fast search"
X Link @VirendraCodes 2025-10-25T11:07Z XX followers, XX engagements
/creator/x::VirendraCodes