Day 22 : Just wrapped up a massive backend overview with @Hiteshdotcom Key takeaways: ✅Production-grade DB connections ✅Complex Aggregation Pipelines (Lookup/AddFields) ✅JWT Refresh/Access tokens ✅Handling Multer & Cloudinary Levelingup! #ChaiAurBackend Thanks @ChaiCodeHQ

Chai aur Backend Day 21 worked on watch history aggregation using nested $lookup, handled ObjectId properly, and cleaned data using $project & $addFields. Also implemented user routes like password update, profile/media handling, and watch history endpoint. #ChaiCode

Day 20: Back on track! Dealing with production-level backend logic today. Explored $addFields to calculate subscriber counts and $project to keep our API responses lean and secure. Big thanks to @Hiteshdotcom Sir @ChaiCodeHQ for making complex Mongoose queries look so simple!

Complete Masterji Backend Challenge Day-20 learn about -what are aggregation pipelines -joining two models using aggregation pipelines -$lookup,$match,$addFields,$in,$project,$size @Hiteshdotcom @nirudhuuu @ChaiCodeHQ

Chai aur Backend Day 20 Explored MongoDB aggregation pipelines, how stages work, used $lookup for joins, $match for filtering, $addFields for calculations, and $project for optimized responses. Built a user channel profile with subscriber data. #ChaiCode

Day 20 of Masterji Challenge: Chai aur Backend completed. Learned about MongoDB aggregation pipelines. We designed a single controller but we learned a lot of details like match, lookup, addFields: size, cond & projects. Thanks to @Hiteshdotcom sir @nirudhuuu sir @ChaiCodeHQ

Chai aur Backend - 𝗗𝗮𝘆 20 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝘀: - what are aggregation pipelines - joining models using aggregation pipelines - controller to get used channel profile - stages: $lookup, $addfields, $project, etc. Notes attached👇 @nirudhuuu #chaicode #backend #webdev #cohort

Day 19&20 Chai aut backend masterji challenge -Learnt how subscription model works -how to use aggregation pipelines in mongodb -few pipeline stages such as $match , $lookup , $addfields , $project

Day 20 Chai aur Backend: Learn MongoDB aggregation pipelines -> An aggregation pipeline consists of one or more stages that process documents -> $lookup: join documents -> $addFields: adds new field -> $project: projects the field we add @ChaiCodeHQ @Hiteshdotcom

Day 20/25–Chai & Backend Challenge- Learned aggregation pipelines for stepwise data processing. Used $match, $lookup, $addFields, and $project to build user profile data. Also used nested $lookup to fetch watch history with video and owner details.@Hiteshdotcom @ChaiCodeHQ

Day 20 - Chai Aur Backend ✅ 1) Aggregation pipelines process data in stages like an assembly line 2) getUserChannelProfile uses $match to find user by username. 3) $lookup joins subscriptions to get subscribers & subscribedTo. 4) $addFields calculates counts & isSubscribed. 5) $project filters required fields. 6) getWatchHistory uses $lookup & nested pipelines to fetch videos and owner details. @ChaiCodeHQ @Hiteshdotcom @piyushgarg_dev @nirudhuuu @yntpdotme @surajtwt_ @devwithjay

Day 20 of #ChaiBackend ☕️ Learned Aggregation Pipelines Data flows through stages: $match filters, $lookup joins, $addFields calculates, and $project cleans. Efficient database-side processing @Hiteshdotcom @ChaiCodeHQ @nirudhuuu @BlazeisCoding

🚀 Day 6/100 Today’s learning: ✅ Understood Subscription schema deeply ✅ Learned MongoDB aggregation pipeline ✅ Used $lookup for joins ✅ Calculated subscribers & subscribed channels ✅ Explored $addFields, $size, $cond, $map Starting to connect real world logic with database queries 🔥💻 Thank you ! @Hiteshdotcom @MongoDB #BackendDevelopment #MongoDB #100DaysOfCode

Just published a guide on MongoDB Aggregation Pipelines. Step-by-step examples of $match, $lookup, $addFields, $project, $size and how pipelines flow efficiently. Link: mongoinsights.hashnode.dev/m… @Hiteshdotcom @ChaiCodeHQ #chaiaurcode #mongodb #backend #WebDevelopment

Day 20 of 2026 Yesterday's log: Explored few backend topics like: >Pipelines >Aggregation and MongoDB Aggregation operators like: >$match >$lookup >$addFields >$project

𝗜 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝘁𝗵𝗲 𝗠𝗼𝗻𝗴𝗼𝗗𝗕 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲. I needed to fetch a user’s channel profile: subscribers, subscribed channels, subscription status, and basic details. $lookup for joins, $addFields for dynamic values, $project for clean output.

Day 21 of #BackendNinjaChallenge by @ChaiCodeHQ @Hiteshdotcom 🧩Sub-Pipelines & Routes → Built getWatchHistory with nested pipelines → Used $match, $lookup, $project, $addFields → Added owner details to watch history → Added JWT-protected PATCH routes profile & history APIs

Day 20 of #BackendNinjaChallenge by @ChaiCodeHQ @Hiteshdotcom Learned MongoDB Aggregation Pipelines🧩 - Used $match to filter users - Applied $lookup to join subscription data - Used $addFields for counts & status check - Understood data transformation & query efficiency @MongoDB

Day 29 of winter arc ❄️ -> Dsa 1 Lc question -> Solved all assignments of hitesh sir's backend playlist ->read docs of aggregate pipelines, learnt more about stages in aggregate pipelines , operators like set,unset,addFields,lookup,merge ~ it was a busy day , couldn't do much

📚 Today’s learning journey: ✅ Understood the Subscription Schema ✅ Explored MongoDB Aggregation Pipelines ✅ Learned sub-pipelines & routes 🔍 $lookup, $match, $project, $addFields Big thanks to @Hiteshdotcom sir #MERN #Backend #MongoDB #LearningInPublic