Blog runs on a public Sanity dataset (project id ships in their cdn.sanity.io image URLs); the site itself is a client-rendered SPA with no feed and no sitemap entries. Engineering + AI categories, 70 posts, active (Aug 2026). The old 'ShareChat TechByte' Medium publication (dormant since 2022) stays in the corpus under this source id.
Recurring subscription billing in India is deceptively complex. A single billing cycle has to send a mandated pre-debit notification, wait a regulator-defined window, then attempt collection by coordinating
We run business-critical, long-running workflows (livestream lifecycle jobs, livestream user-experience jobs, recording and HLS streaming, etc.) on self-hosted, in-house Temporal clusters.
At ShareChat, we recently overhauled the architecture of our events ingestion system. As part of this exercise, we also migrated all our event data contracts from JSON to protobuf.
At ShareChat, we recently overhauled the architecture for the data ingestion system. As part of this exercise, we also moved 100% of our event data contracts from JSON to Protobuf.
At ShareChat's Central Data Platform (CDP) team, we handle more than 1,000 different event types across 5 apps, ingesting upward of 80 billion events per day.
At ShareChat’s Central Data Platform (CDP) team, we cater to more than 1000 different event types from 5 different apps, receiving and ingesting more than 80 billion events per day on a regular basis.
At ShareChat, Redis APIs were embedded in almost everything: caches,recommendation delivery systems,deduplication queues, ranking pipelines, counters, you name it.
At ShareChat — a leading social media platform with over 200M monthly active users (MAU) — our data platform ingests and processes more than 1 million events per second. However, this event load isn't constant.
Every time a user views a post, an event is fired to inform us. We feed this real‑time stream into our recommendation system, e.g. analytics pipelines, feature computations, and view counters.
At ShareChat, our in-house ML feature system powers personalized feed recommendations across the platform.Built on Apache Flink, it serves as a feature-as-a-service platform for scalable computation
Our recording infrastructure focuses on WebRTC video and audio. The goal is to allow moderation teams to access clean, archived footage—composite or individual—for compliance, post-production, or analysis.
At ShareChat, Machine Learning models form the backbone of our recommendation system, playing a pivotal role in delivering the most relevant and engaging content to our users.
The primary goal of a recommendation system is to identify and deliver the most relevant content for a user. To achieve this, it must not only identify high-quality content but also ensure diversity
Modern recommender system models can be very compute- and memory-intensive and expensive to serve. In this post, we’ll go over some of the things we did at ShareChat to make our inference more cost effective.
At ShareChat, delivering personalized recommendations to millions of users requires building and training large-scale recommendation models.
Sharechat is India’s largest homegrown social media company with native and regional user generated image and video content. Our two apps, ShareChat and Moj, are used by over 325 million users in 15 regional languages across India.
ShareChat's Livestream redefines creator-audience bonds, blending entertainment, monetization, and genuine connections in a dynamic social media ecosystem.
This blog post explores an effective strategy to streamline fragment management in your app by revising the feed setup and implementing lazy loading.
Apple has just unleashed some serious game-changers with iOS 14 and the iPhone 14 Pro. Picture this: a slick Live Activity widget to spice up your lock screen, and hold onto your hats because Dynamic Island has landed, folks!
In this post we will discuss the evolving architecture for Sharechat’s event streaming platform. We will deep dive into what was our first generation architecture, what problem statements we constantly faced and there-fore strived to solve.
In the fast-paced world of technology, orchestrating workflows efficiently has never been more crucial! That's where Temporal comes into play.
Implementing more accurate manual testing and automated integration tests has significantly boosted our developer velocity.
From hearts to cakes, to a cool pair of sunglasses, a MOJ user has many choices to choose from when it comes to virtual gifting. But what else has virtual gifting enabled?
You are trying to create a Responsive Card component for a design system for your website. Here's a blog where we detail container queries, and how to do it in Tailwind
Google Image Picker is an npm plugin that helps you upload images directly from your web application without going through all the hassle of searching on your browser, downloading, and then uploading to the server. Here's how!
At ShareChat and Moj, we send around eight billion notifications per day. In this blog, we detail how we drive maximum efficiency, without hampering the user experience
While building apps with react, you would have come across bunch of redundant lines of code so that your state understands you're doing something with it. Here's how to use proxies to make React state mutable, & stop destructing your store
We, at ShareChat, believe in working smart. Here are some tips and tools to ensure you are at your productive best as a developer
Using Custom React Hook, we explain how to avoid memory leaks in the components, make Atomic API transactions with respect to your Component, and less number of API calls altogether
A smooth experience is paramount to any app and cannot be compromised. In this blog, we explain how we used React swipeable screens in Jeet11 to solve a number of issues
While developing a user-facing application, any developer aims to provide the smoothest possible experience. In this blog, we detail, how a frame is displayed, general issues with smooth scrolling, transitions, or animations in iOS
ShareChat’s acquisition of Mx TakaTak required their data to be transferred from their Cloud infrastructure to ours in the shortest possible time to bring both universes together. Here's how we did it
CORS errors can be a pain to front-end developers while developing. In this blog, we explain in detail the fixes that can help in speeding up the development process without getting blocked by these errors
One of the demands that we’ve frequently received was for animation in the form of flying hearts and flying emojis/reactions for live-streaming on the Moj app. Here's a detailed look at how we built an in-house solution
3MASSIV: Multilingual, Multimodal and Multi-Aspect Dataset of Social Media Short Videos, which was presented at the Conference of Computer Vision and Pattern Recognition (CVPR), 2022 held at New Orleans, Louisiana
In this blog, we deep dive into our infrastructure journey talking about the system improvements we have made, the rationale behind them & what impact it has had so far.
Being a social media company we maintain a lot of counters; from views and likes to many more internal ones related to revenue spending etc. Updating a count might seem simple but as always the real problems come with scale.
Short videos are often part of our web-cards, PWAs etc. With our compression service, those videos will be ready-made for uploading without any extra work.
🤔 Ever wondered how many times a developer builds a project and how much developer time gets wasted on this? We consider build time as a break to grab a coffee or chat with someone or just start browsing the trending news.
Modern websites demand speed. As web developers we have to work not only on javascript but provide the best user experience as well.
Ever wondered how you are able to find relevant and entertaining content every time you go to the Moj or ShareChat “Home” page? Machine Learning is at the core of this complex machinery!
Recommended — Just For You: How We Handle Personalisation at Scale Written by Srijan Saket, Aravindh R, Subham Todi, Brihati Jain Our Mission Ever wondered how you are able to find relevant and entertaining content every time you go to the Moj or ShareChat “Home” page? Machine…
Advertisers want to run their advertisement campaigns on ShareChat and reach their target audiences. Our aim is to show the advertisement to the most relevant audience so that the advertisers' goals are met.
Written by Mohit Dubey ShareChat is on a rapid growth path with 180 Mn monthly active users. Advertisers want to run their advertisement campaigns on ShareChat in order to reach these target audiences. Our aim is to show the advertisement to the most relevant audience so that…
A few months ago, we at ShareChat decided to go on a documentation coverage spree. Not long into the journey we realised the resources for measuring documentation were limited and would not meet our expectations.
‘doc-coverage’ — A Documentation Coverage Tool for Javascript Witten by Shivani Sehgal It’s been rightly said that what gets measured gets managed! A few months ago, we at ShareChat decided to go on a documentation coverage spree. Not long into the journey we realised the…
Written by Shubham Sharma “Are data structures and algorithms even useful in a software engineering job?”Over the past few years, there has been a drift towards people assuming that algorithms and data structures are useless and are asked by tech companies just as a thoughtless…
We wanted to give our players the ability to generate the best declaration for their cards. Here's how dynamic programming got the work done.