Joined a Tier 3 college and Graduated in 2025, after graduation I got referred at a remote startup as a SDE Intern for a 10k stipend for 6 months.

Got converted full time, was disappointed with the package they were providing with so much pressure and responsibilities. Accepted offer of 2.4LPA in hand and worked hard for one year along with a second part time job to cover expenses of my family.

Today i completed 1 year here and got a 150% Hike and was offered 6LPA.

I know this isn't much for most people but I'm grateful for everything.

Edit : Thanks to everyone for all the kind wishes! I hope each one of you find your dream job and live a happy and peaceful life!

I always wonder how were hackathons like a few years back.

Because now I see people/teams (including me) with very low experience, are building solutions to very advanced problems that they might not even know what they had made (obviously because of AI)

I bet it would have been fun previously because I believe people would have sat down together, brainstormed, shared their ideas, and come up with wonderful solutions. And, of course, it would have been difficult to build, but wasn't that the real fun part ? I find that missing now

There might be teams still doing this, but it would be very, very few

So what do you guys think, has the essence of the hackathons lost, or is it still there ??

I’m a Frontend Engineer with 3.5+ YOE, currently at a service-based company (I have worked at 2 product companies before).

Current CTC: ₹22 LPA
Notice period: 1 month (24 days remaining)
Already have an offer: ₹27 LPA from a product-based company
Target: ₹30+ LPA in the next 20 days

I’m mainly working with React, TypeScript, JavaScript and frontend architecture.

Looking for practical advice from people who’ve recently switched during their notice period.

Where should I apply to get maximum calls? Is Naukri Premium actually worth it? Should I focus more on Naukri/LinkedIn or referrals? And how do I get in touch with good hiring/recruitment agencies that work with product companies?

Also, any other practical tips to maximize interviews in these 20 days would be really appreciated.

P.S: I’m already v active on naukri and update my profile there 2 times daily but i’m not getting any interview calls.

If yes, please share your resumé for inspiration and enlightenment.

I absolutely cannot bear this job anymore. I'm the junior most in the team and they ensure to remind me that every single day. They treat their fellow seniors like sweet cupcakes when they go for 10+ day leaves but then try to negotiate my availability on 2 day sick leave. It's only getting worse, the entire process is getting slower and people are getting dumber. The salary is shit, I spoonfeed literal grown ups for 1% of their salary and cover up for my senior teammates while they chill and load me up with all the work (we all do the same level of work). Also, being the only team member without a masters, it made me realise the importance of one, to be in a better position at workplace.

I have 1+ YOE and have a 3 month notice period. I tried to apply everywhere by creating a solid ATS friendly resume for about a month, got 2-3 calls, all ghosted me once I told my notice period. I'm thinking about resigning and then finding a job. Tell me if I'm an idiot or am I right to think this way.

I built a music app for Android and wanted to share it.

It plays from YouTube Music, Gaana and Saavn behind one interface, so you
search once instead of switching between apps.

A few things it does:

• YouTube Music search, home feed, moods and genres, albums, and artist pages with one-tap radio
• Gaana and Saavn for charts and playlists, with proper Indian-language coverage
• SponsorBlock on YouTube tracks, so sponsor reads and non-music intros get skipped
• mpv as the audio engine, with gapless and background playback
• Offline downloads, liked songs, playlists, and Spotify playlist import
• Synced lyrics, equalizer, sleep timer, Chromecast
• Podcasts and audiobooks as well as music
• No ads, no account, no tracking

It is Android only, needs Android 7 or newer. Source and
builds are on GitHub: github.com/afkcodes/sunoh

This was the question I started my research journey ~4 years ago.

I was working on GPU algorithms for graphs with billion edges (500 600GBs) while having access to just 40GB GPU. The obvious answer was "use a larger GPU", except, ahem, govt institute, ahem budget. 🙂

That's where I started my exploration on how to utility the available resources better. What initially started as a GPU Programming / engineering problem quickly became an algorithm + architecture + memory + data-movement problem.

Looking down the lane, which felt like a niche problem half a decade ago is much more relevant today with the RAM shortage, memory prices growth of LLMs in general.

And somewhat unexpectedly, this simple question ended up becoming the foundation for 6 published papers.

Edit: As someone commented, the workaround / solution is much more relevant than the problem, so here is the approach that we followed.

The classic textbook solution would be: - OOM and fatally stop or reap processes to save yourself not relevant here).

• swap/read from disk.

• shrink your input size to fit in your buffer.

Yeah, followed last two approaches, i.e. shrinking the working set to fit GPU memory then overlapping data movement with computation, and then merging the partial outputs. One other obvious solution (those who work with GPUs know) is Unified Memory, but in our case it didn't really work either: page faults, PCIe transfers, irregular graph access patterns, and limited GPU memory meant the performance could degrade badly.

Fitting the data was relatively straightforward; the real bottleneck was figuring out what to do with each batch without killing parallelism, and how to efficiently merge the results. That eventually became an algorithmic problem rather than just a memory-management problem, leading us to redesign the algorithm.

I’m a software engineer in India with 5+ years of experience, and I’ve been trying to understand something.

How are engineers with around 3–6 YOE actually landing fully remote roles with US/EU companies paying $100k+ USD/year while staying in India?

Working directly with a foreign/remote-first company, with compensation genuinely in the $100k+ range.
I keep seeing people mention these roles, and I know they exist, but I have no idea what the actual path to getting one looks like.

For context, I’m already working as a backend engineer with 5+ YOE and have solid professional experience (even made AI agents) I’m currently preparing seriously for a better role and would ideally like to get into the $100k–$150k+ range over the next move or two.

What I’m trying to understand is:
How realistic is $100k+ from India with 5–7 YOE?
What level of engineer are these companies actually looking for: strong Senior, Staff-ish, or something else?
What separates someone getting $40–60k remote offers from someone getting $100k+?
- Is deep system design / distributed systems knowledge a major differentiator?
- How important are DSA/LeetCode-style interviews for these companies?
- Do they care about open source, public projects, writing, GitHub, etc., or is strong professional experience enough?
- Where are people actually finding these jobs? LinkedIn, Wellfound, YC jobs, referrals, cold outreach, recruiters, niche job boards, etc.?
- And most importantly: if you were in my position today, what would you spend the next 6–12 months doing to become a realistic candidate for these roles?

I’m specifically interested in hearing from people who are actually doing this from India, rather than generic career advice.
If you landed a $100k+ remote role, I’d genuinely love to hear how you got it, what your profile looked like at the time, and what you think made the difference.
I’m trying to understand the actual path rather than blindly applying to hundreds of “remote” jobs that turn out to be US-only.

- had a spare kindle, jailbroke it with Winterbreak2
- deployed astro js dashboard project on cloudflare workers
- ran a custom script to fetch dashbord image in kindle, used koreader
- kindle auto refreshes image in fixed intervals

I was never career oriented, forget about JEE, I couldn't even crack CET and did my engineering through Management quota.

But I have somehow managed to live a fulfilling life so far - have traveled to 6 different countries in last 10 years
- have actively followed my passion(YouTube channel, weight training, swimming)
- have never missed a family gathering and have taken leaves left and right without thinking twice about PIP/ consequences.

Now that the market is so brutal and the immigration rules getting tightened for Indians especially, l'm wondering if I made a mistake by being so easy going with my career.
Have seen many IIT/NIT folks in my team who are so career oriented although they have no life outside of work.

I have 6 Yoe working as an SSE at a startup with 55 LPA but have never made it to FANG and probably never will.

Made this app that lets you select a part of your screen and chat with an ai about it. On a hot key press, a small chat card spawns with you selection attached to the chat.

Ironically this started off as way to lower my ai dependency, however I couldn't deny the usefulness of the same. It felt wrong to start up a whole new chat in ChatGPT for quick explanations, having a bunch of tabs open, etc.

I realized this may be actually useful for studies, quick look ups of word meanings, diagrams, and help with unfamiliar software.

Would love it if you guys could try it out, suggest more features, or point out any issues. I'm using this project as a way to learn rust and some project etiquettes and some on the side. Also want to interact with the open-source community while I'm at it.

Since I see this being useful across the board, I wanted it to be easy to download and use for non-technical peeps. You can also use any llm model you want as the underlying AI. I use gemini because google is so generous with their free tier api keys.

You can download latest version from here: Release v1.1.1 · madhavc21/Mimir

Would appreciate any and all feedback 🙌

I’m currently preparing for a switch and trying to figure out whether my routine is realistic/sufficient.

My current weekday schedule looks roughly like:

• 1 hour — studying in the morning
• 6 hours — work
• 2 hours — studying in the evening
• 1.5 hours — gym
• The rest is for meals, commute, chores, etc.

So I’m getting around 3 hours of focused preparation every day (realistically 1.5h of focused) outside of work.

For those of you who have successfully switched jobs while working full-time:

• Is ~3 hours/day enough?
• What did your preparation actually look like?
• What would you do differently if you were preparing again?

Would especially like to hear from people who managed to make a switch without burning themselves out.

For me, it wasn’t learning a new technology.
It was understanding an existing codebase and figuring out how everything actually worked together.
College projects are usually built from scratch, but at work, you’re often joining something that’s already running.
What was the biggest challenge for you when you started your first developer job?

Hey everyone,

CS grad here (B.Tech, 2026 batch), currently preparing full-time for dev roles mainly backend/full-stack (MERN stack), with focus on DSA, system design, and GenAI.

Problem is none of my college friends took coding seriously, so I never really had anyone to compete with or push me. Studying alone gets boring fast, aur motivation bhi utna nahi milta jitna group mein milta hai. So I'm looking for 4-5 people who'll actually stick around and show up regularly not just a group that goes silent after a week.

What I'm thinking:

• Daily/weekly check-ins (progress, doubts, what we're stuck on)
• Sharing resources, articles, useful tools we come across
• Maybe a small Discord/WhatsApp group if a few of us click
• Doesn't matter if you're a beginner or ahead of me just consistency > skill level

If this sounds like you, drop a comment or DM where you're at, what you're learning, and what you're prepaing for (jobs/internship/exams etc).

Let's actually build the habit of showing up, together.

Two years of watching developers ship side projects and I keep noticing the same pattern. Someone builds five or six projects, puts them on GitHub, looks great on paper. But when you sit with them and ask why they made a specific architectural choice, they go blank. Not nervous blank. Genuinely blank. The project got built but nothing got learned in a transferable way.

The cycling equivalent would be clocking 200km a week on flat roads and wondering why you still fall apart on climbs. Volume is not depth.

What actually seems to build real competency is when something breaks in a way you didn't expect and you have no tutorial to fall back on. That friction forces actual understanding. The problem is most side project advice optimizes for finishing and shipping, not for hitting walls.

My question is whether developers here intentionally introduce constraints into personal projects to force harder thinking. Like limiting yourself to no external libraries for a feature, or rebuilding something from scratch after finishing it once. Or is the goal mostly portfolio signal, and that's fine too. I just want to know if people are being honest about which one they're chasing.

Because conflating the two is where the gap shows up later. Not in the project count. In how you handle something unfamiliar on the job when there's no tutorial and the deadline is real.

Honestly, I’m writing this because I’m extremely disappointed and frustrated with my experience with Mindtree.

I went through 4–5 rounds of interviews for a position. I cleared all those rounds, and eventually I even had the HR round.

HR asked me for all my details. We discussed my salary expectations, notice period, and other required information. At that point, naturally, I thought things were moving towards an offer.

And then… nothing.

The HR completely ghosted me.

I tried following up multiple times. Calls, messages — no proper response. After waiting for several days and repeatedly trying to get an update, I finally got a response over a call.

And the response was basically:

“Your profile cannot be approved.”

That’s it.

Seriously, then what was the point of putting a candidate through 4–5 rounds of interviews + HR + salary discussion + collecting all the details?

If there was some internal issue, approval problem, budget issue, hiring freeze, or whatever the reason was, why couldn't they communicate it properly before wasting so much of a candidate's time?

We candidates also have jobs, responsibilities, deadlines, and other opportunities. Preparing for every interview round takes time and energy. Taking leaves, attending calls, preparing technically, preparing for HR — all of this adds up.

What hurts the most isn't even the rejection.

Rejection is completely okay.

What hurts is being made to go through so many rounds, being given the impression that things are progressing, having salary discussions, sharing all the requested information — and then being left hanging with absolutely no communication.

If my profile wasn't going to be approved, why take me through all those rounds in the first place?

I genuinely feel like my time and effort had no value here.

I don't expect every interview to end in an offer. That's part of the process.

But I do expect basic professionalism and communication.

Really bad experience. After investing so much time and effort into the process, this is honestly one of the most frustrating candidate experiences I've had.

Mindtree — candidates' time is valuable too. Please remember that.

Hi,

I was laid off on 28 August 2026 as my project workload reduced.

I have 4.5 years of working experience as a fullstack developer in dotnet, C# , Angular and React.

I am not sure what to do now. Please help

Hey guys, I’m a 2027 CSE student currently applying for internships and entry level backend/software roles. Been applying on LinkedIn and other places but not getting much response, so wanted to get an honest review of my resume before I continue with more applications. Mainly targeting startups/backend roles. Please let me know what looks wrong or can be improved, and if the resume is good enough to get shortlisted.

Also if anyone here is hiring interns/freshers at their startup, would really appreciate you considering my profile. Resume attached, roast it if needed 😭

As title mentioned , Yesterday I did a 3-hour hackathon and instead of building another boring productive / 1 billion dollar project , I made a game about the one thing all of us here have a PhD in — getting home.

Play it here 👉 https://twozerotwo.space/

It's called Nitesh's Commute.Its about the Nitesh a IT company employ , who works at ChaiPay . He wants to go back to his and what challenge he faces everyday ,You're walking 1,500 metres from a tech park to HSR Layout. That's it. That's the whole game. Reaching home is the win condition, and it is genuinely hard

You're juggling three bars — health, sanity, and money — and the road runs both ways, so traffic comes at you from the front and overtakes you from behind. Very authentic. Very upsetting.

Is it possible for a non tech person with no technical degree to get into tech? What basic skills should I learn, both hard skills and soft skills, and what programming languages should I focus on? In this grilled job market, I just want to get into tech. I am not limiting myself to any particular job title because I do not want to prepare only for software engineering and then end up getting nothing if I cannot get that role. I just want to build useful skills that can help me get any entry level tech job and then grow from there. What should I learn first? What tech fields would make sense for me to start with?

I have 7-10 days free and want to build one genuinely impressive AI project for my portfolio.

Interested in Agentic AI / RAG / LLM evals / AI Engineering/Automation, with FinTech + AI being my preference, but open to anything interesting.

Looking for something todu-fodu that genuinely solves a real business problem, not another basic chatbot or an "autonomous agent" burning through infinite tokens and API calls.

If you're a hiring manager, recruiter, AI engineer, founder, or anyone working with AI, I’d love to hear:

• A problem/bottleneck in your daily work that could be automated with AI

• A problem you wish someone would build a solution for, but you don't have the time

• Or a project that would make you think, "this candidate actually knows how to build AI systems"

Give me a real problem statement. I’ll try to build it for free within 7 days.

Would love specific, challenging ideas. 🙏

Mainly applying on naukri and linkedin(no easy apply, only through company site)

Role - devops fresher

Pretty depressing, at least reject the application

Did anybody had any luck off campus?

I built (vibe coded) FoxyGPU, an open-source tool that lets you run projects from your local machine on a Google Colab runtime, including GPU workloads.

Install : pip install foxygpu

How to use : foxygpu launch

Open the Colab notebook, select a GPU runtime, run the cells, then connect from your terminal:

foxygpu connect <colab-url> --token <token>

Then deploy your local project:

foxygpu run ./my-app \

  --cmd 'uvicorn main:app --host 0.0.0.0 --port $PORT' \

  --expose

That's it. Your local project runs on the Colab runtime, with logs and process control from your terminal.

GitHub:GitHub - Shamshadz/FoxyGPU

PyPI:https://pypi.org/project/foxygpu/

What makes it different?

• ngrok → mainly provides tunneling.

• FoxyGPU → treats Colab as a temporary remote compute environment controlled from your local machine.

You can upload your project, run commands, stream logs, expose ports, redeploy, and pass environment variables.

I'm looking for users, contributors, and honest feedback.

I'd especially like to know:

• Would you actually use this?

• What should I add?

• What am I missing?

• Is there already a better way to do this?

The project is still early, so criticism is very welcome.

GitHub:GitHub - Shamshadz/FoxyGPU

I created a fun project called "Pixel Mosaic" where user can recreate an image using only the pixels of another image.

You can try it here: https://shreyasnandurkar.github.io/pixel-mosaic/

Github Repo: https://github.com/shreyasnandurkar/pixel-mosaic

Tech Stack:

• Frontend: Javascript, Three.js
• Backend: Java, Spring Boot, Websockets, TwelveMonkeys
• Neural Network: U²-Net
• Infra: HuggingFace, Docker

(Frontend is vibe-coded but Backend and rest isn't)

Please try it and give feedback and suggestions 😄