What are Indian software developers talking about on Reddit? A data-driven analysis

Anubhab Das — Wed, 30 Sep 2026 18:45:17 +0000

Software developers have been gathering in online communities since time immemorial. As a dev in my late 20s, the internet has very much been my stomping grounds, since I don’t remember when.

India has 21.9 million users on GitHub, as reported in a MoneyControl article¹ on 28th Oct 2025. r/developersIndia is one of the largest online communities for devs in India. As of 30th Sept 2026, it has over 968,000 members and 16,000 weekly contributions. I find myself visiting this subreddit from time to time, since the inception of the pandemic, which roughly overlaps with when this sub was created. Even when you’re on a time crunch, glancing through the top posts of the day would give you an idea of some of the things that are going on in the tech scene in India. What I really love about this sub is the sheer scope of topics it allows. You’ve got everything, some of which include, but aren’t limited to:

People announcing their side projects and inviting new users
Interview experiences
What new undergrads are studying and building in uni
Navigating corporate life
Planning your next switch
How AI is disrupting how we work
Finding pair programming buddies
Having your resumes reviewed

It goes without saying that everything you read online should be taken with a grain of salt, and you should be doing your due diligence in getting information verified from multiple sources — which I’m sure is something many of us have come to learn the hard way. The free-form nature of discussions that take place on Reddit, paired with the high degree of anonymity it provides, helps folks discuss the goings-on in their professional lives without fear of judgement.

Oftentimes, you’d see career advice posts where users mention their tech stack, their background & YoE, where they’ve worked at, or aspire to, and then finally some question tailored to their specific profile. It got me thinking — I’ve seen mentions of various pieces of tech (JavaScript, Node.js) and company names across so many different kinds of posts that perhaps an analysis of the most commonly mentioned entities would help us understand what’s actually being talked about in this subreddit.

To achieve this, I’ve analyzed 10,137 Reddit posts made by 5,810 users from Jan 2020 to Dec 2022. My primary goal was to uncover which programming languages, technologies, job designations, and companies were talked about the most, along with the overall seniority levels of engineers in this sub, and to attempt to understand if these are in line with industry trends.

This article focuses on data from 2020 to 2022, though many of the trends observed have persisted in subsequent years.

Early-career professionals dominate this sub

Distribution of reported YoE across posts

Most users of this subreddit are in the 1–3 YoE range. Early-career professionals often need a lot of advice: Which tech stacks to focus on, how to position themselves better for their upcoming switch, how to navigate red tape, especially in times when you’re expected to ship faster and faster, how to optimize for growth. This community helps them find answers to some of these questions. It’s important to note that, a significant chunk of this community is college students and freshers (with 0 YoE). However, my method only parses direct mentions of YoE, as it’s structured information and easier to obtain.

Unlike devs with experience, most of whom mention their YoE in a set format, people who’re about to enter the industry have many different ways to signal their lack of experience — “0 YoE”, “.. have no experience…”, “… yet to get my first job…”, “… unemployed since graduating…”, “I’m a fresher” etc. This information is very difficult to parse using rule-based pattern-matching methods. I found that 850 posts (roughly 8.4% of all posts) had the keyword “fresher” mentioned in either the title or post body. However, one cannot consider all of these posts to be made by folks who lack experience. Having reviewed a couple of these posts, what I found was that a considerable number of these were authored by mid to senior level devs, 1) advising freshers on how to land their first job, 2) sharing past experiences when they themselves were freshers.

According to the Stack Overflow Developer Survey 2020² and 2022³, the average Indian developer is only 26 years old, making them some of the youngest developers in the world. As is evident from the YoE graph, young devs tend to actively engage in this community as well.

r/developersIndia really loves Python, Java & JS

Python, being the most talked about, stands at 37.47%, and MATLAB being the least talked about, stands at 0.09%

Python is one of the fastest-growing languages, and its extensive ecosystem for ML & Data Science use-cases, along with the fact that it’s one of the most beginner-friendly languages, secures its rightful position at the top of the chart. It wouldn’t be too much of a stretch to assume that these numbers are being driven by early-career devs wanting to keep up with the latest tech, and college students who’re learning to code in their CS 101 classes and talking about it in online communities.

Java is the most popular language for enterprise software development, owing to its scalability, platform independence, and massive ecosystem. Over 90% of Fortune 500 companies use Java-powered software⁴.

JavaScript and TypeScript combined have 34.45% mentions in our subset of posts, making it effectively pretty close to being the 2nd most mentioned language. JS powers the web — It is the primary and only language supported across all major web browsers. It allows websites to be interactive and dynamic, thus enabling a richer user experience on the interwebs.

What’s shocking to see here is that MATLAB sits at 0.09% in spite of being extensively used in academia (Electrical, Electronics & Mechanical Engineering departments) and industry for numerical computing and simulations.

Devs often mention multiple programming languages within the same post. The top co-occurring languages are Java & Python, which appear 201 times together; JavaScript & Python, which appear 173 times together; and finally Java & JavaScript, which appear 169 times together.

Python, Java, JS, SQL, and C++ are the only languages to have individual contributions exceeding 10% of posts mentioning at least 1 language.

What technologies are being talked about the most?

React, AWS, Spring, Android, Node.js are the top-5 most mentioned technologies

I scoured tech blogs and the subreddit itself to generate a list of searchable technology keywords — ones that are most commonly used in industry and for learning. This list spans many broad categories, such as backend, frontend, infra, 3rd party services, cloud providers, and additional tools. ReactJS, a frontend library, is the most mentioned piece of tech, appearing in 1 out of every 4 posts, in a subset of 2,000+ posts with tech-related mentions. React, and consequently frontend web development, is a very common starting point in a dev’s journey, as 1) it provides quick visual feedback when dealing with user interfaces, unlike backend and infra, and 2) because of the availability of a plethora of free learning resources. React is used by 49% of JS & TS developers, making it the most commonly used JS library⁵.

AWS is the most discussed (10.80%) cloud provider, followed by Azure (4.98%) and GCP (1.87%). As far as backend is concerned, Spring, Node.js & Django are quite popular in this sub as well.

It’s fair to assume that Node.js (the runtime evironment itself) implies usage of Express.js (de facto light-weight web framework used with Node). Interestingly, most people mention Node.js in their resume, and online discussions, instead of Express.js

The following co-occurrence network clearly illustrates which technologies appear together most frequently across a number of posts.

Tech co-occurrence network highlighting 55 technologies, with the highest co-mentions in our dataset

What job titles do devs in this sub commonly hold or aspire to?

Generalist roles FTW?

Generalist and/or junior roles are the most mentioned, while specialist and/or senior roles are mentioned far less, as expected.

DevOps Engineer, standing at 8.86%, is a fairly high number, given this is a junior-heavy sub. Companies usually hire mid to senior-level folks for DevOps positions, as the work involves system administration and cloud infra. Frontend positions are 2.71 percentage points more often discussed than backend positions, and this difference can be attributed to the fact that frontend development has a lower barrier to entry for early-career folks. However, full-stack positions have a considerably higher amount of interest compared to backend and frontend, which can mean either one of the following things:

For people who’re trying to break into tech — It signals a desire to cast your net wide, to have access to more positions.
Industry demands are higher for generalist roles — at least for web dev.

The least-discussed job position is Embedded Engineer (0.35%).

MAANG, Indian IT giants, and consumer tech companies form the bulk of company-related discussions

Amazon, Google, TCS, Microsoft & Infosys are the most-discussed companies

Amazon, Google, and TCS are the top 3 most-discussed companies on this subreddit. At least one of the top 5 companies is mentioned in more than half (57.18%) of all company-related discussions. Lots of companies are discussed, but most have relatively small individual shares.

Methodology

We collected Reddit posts from Jan 2020 to Dec 2022, using the Pushshift API, at the tail end of 2022. We performed pre-processing to remove moderator posts, duplicate & deleted posts, and this finally resulted in a subset of 10,137 posts. These contributions were made by 5,810 unique users, in a span of 2 years. Only 10 users contributed 20 or more posts. This subreddit had 5,800+ developers with 22 weekly contributions in Feb 2021⁶, and 120,000+ developers, with 315 weekly contributions, in Dec 2022⁷ — a remarkable growth story for an online community, in a span of just two years.

The average user made 1–2 posts (mean = 1.74, median = 1.0). The average post length is 136.93 +/- 158.69 words (median = 97.0 words). We have 759 posts from 2020, 2,496 posts from 2021, and finally 6,882 posts from 2022. We built four lists, one for each type of entity — Programming languages, commonly used technologies, companies, and job roles or designations. The values for these entities were populated by consulting various tech publications, Reddit posts and comments, and using AI (ChatGPT, Claude) to augment these lists.

Regular Expressions (RegEx) were used to extract entities, as well as YoE, for all the social media posts. Multiple mentions of the same entity (E.g., Python mentioned thrice) within the same post were ignored.

If we add up the percentages for all of the entities within an entity type (E.g., technologies), it will exceed 100%. This is because several technologies are often co-mentioned across a no. of posts. E.g., Docker and Kubernetes are jointly mentioned across 29 posts. The same goes for programming languages, job roles, and companies. Another important thing to note is that the percentage for each entity is calculated as a fraction of the total no. of posts where at least one entity of that entity type has been extracted. E.g., Python appears in 37.47% of 2,186 posts, where at least one occurrence of a programming language has been detected — not as a fraction of the total 10,137 posts. The total count of posts where at least one entity has been detected is reported in the top-left corner of the graph of the respective entity type.

In order to build a cleaner visualization for the technology co-occurrence network, I dropped edges where the technology pair was mentioned fewer than five times across posts.

Limitations

The fundamental limitation of this analysis is the method of parsing entities using Regular Expressions. For many technology and company entities, we might get a lot of false positives when those terms are used, not as entities, but as regular English words. I’ve tried my best to minimize such erroneous extractions. E.g., Meta, as a company name, and ReactJS -> often abbreviated to React, are common English words. We’ve applied some RegEx-based guardrails to ensure that occurrences of such words, when used as regular English words rather than as entity mentions, are not extracted.

This can be alleviated by using context-aware parsing offered by LLMs or out-of-the-box NER models from NLP libraries.

References

AI use disclosure statement: AI (ChatGPT) was used to refine sentence structure and, in a few limited instances, to suggest better synonyms or phrases while writing this article. All embedded images are a product of data analyses and have been generated by me.

If you enjoyed this, please leave a like or let me know your thoughts in the comments.

About the author: Anubhab Das is a software & AI engineer with over 3 years of startup experience, and has volunteered with Nokia Bell Labs, Cambridge, on two data science projects. Follow him here for new posts, or on X or his website.

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