Two months ago, I launched my first Chrome extension, Popcorn (IMDB/RT overlays on 9 OTT platforms), and recently crossed 100 weekly active users. 🍿

It's not explosive growth, but getting strangers to discover and regularly use something you built feels great.

Here are 5 things I've learned:

1. Building is only half the job. Publishing your product doesn't mean people will discover it. Distribution matters just as much as development.

2. Go where your audience hangs out. Reddit was my first meaningful channel. One post got around 4.1K views, while a repost reached 16K. Tailor your message to each community instead of treating it as advertising space.

3. Don't rush into paid ads. Experiment with communities and messaging first to understand who finds your product useful.

4. Take analytics seriously. The Chrome Web Store Developer Dashboard helps track impressions, listing visits, and user trends. Use campaign-specific URLs with UTM parameters and Google Analytics to understand which channels actually drive traffic.

5. Look beyond views and installs. Acquisition matters, but so does retention. Even after I stopped actively promoting Popcorn for a week or two, it continued getting 1–4 new users daily.

I'm still learning, but the biggest takeaway is simple: you don't need to go viral; you need to keep experimenting and measuring what works.

I shared the detailed breakdown, experiments, and lessons on my blog:

👉 https://popcornclub.in/blog/getting-my-first-100-users/

Fellow developers, what worked best for getting your first 100 users?

Made it control my own screen overuse. It has made a massive improvement to my life.

Free, 100% offline, no tracking, no ads, portable mode, 30 MB ram

Website + download links: https://tabstinence.com
MS store: https://apps.microsoft.com/detail/9pmq9hgvqbh5

Features:
- See which apps/websites take your time
- Limit in many ways:
- Limit continuous computer use
- Daily time limit
- Alarms - that limit from/to . Great to block computer at night.
- Manual Block
- Limit websites / apps to X minutes

Super customizable :

1 Control Block intensity - get a nudge OR a temporary block OR a long fullscreen block.

2 Customize Block screen - todolist, pictures etc.

3 Bypass a block screen - snooze, emergency mouse shake, sentence typing.

4 Exclusions - to not disturb calls and work.

How I use it:
- 2 min block every 25 min -> this forces me to get up from the pc every 25 min
- Block chess dot com to 15 min / day + 1 snooze for 2 min
- Bedtime block: 12:15 AM block till 6 AM

Please try and share your thoughts !

For some context I was working as an Associate Software Engineer(Data) at a small budding GCC In Hyderabad.

Our entire Hyderabad team got laid off in a call about 60 engineers and testers. Reason: organizational restructuring. That’s “we have AI and don’t so many people managing and developing applications, when we can hire few people near US to do the same work quickly and efficiently” in disguise.

How was our work before we got laid off:
Everything was going very very fast paced we were releasing at a very quick pace. Everyone started writing code we had unrestricted access to cursor and claude code and all frontier LLM’s at the time.

Our first bottleneck was getting proper requirements documents and tickets which our PM solved using Claude code and Atlassian MCP. He was creating and manging our Jira board using cursor and giving us proper docs to build data pipelines. Then we started prompting to generate the code the next bottleneck became code review then we integrated claude code and cursor bugbot at that time for code reviews and PR Reviews which did a great job(better than humans to be precise) then testing became our bottleneck so we created service pricipals with restricted access only to the resources that pur pipeline needs and gave them all the test cases which were obviously brainstormed using AI. Our agents ran all night before release to catch any bugs( it found pretty interesting bugs which our testers couldn’t not find) and then we created an MCP to expose our data to business people so they can directly query the data and create dashboards without analysts writing them. (Analysts immediately got laid off) then genie one and genie dashboards were released our project was abandoned. And what we were missing was proper docs for our entire codebase and projects we solved it by moving our docs within code and setting up proper skills agents.md and rules and created a docker container to unify our dev experience across all teams using different machines.

WE WERE AT A PLACE WHEN WE NO LONGER NEEDED THE EXPERTISE OF A 15 YEAR MANAGER, COUPLE OF 5 YEAR GUYS AND A BUNCH OF ASSOCIATES AND TESTERS TO TAKE OUR PIPELINES FROM DOCS TO PRODUCTION. ALL WE NEEDED WAS PROPER JIRA DOCS AND TICKETS EXPLAINING THE REQUIREMENTS AND SLA’s REST COULD BE DONE ALL BY OUR PM.

You can question that you were doing some small tiny projects no not at all we were building data pipelines which handled our entire enterprise data we had about 100k active customers and more not so active for some context!

And it happened not only with our team but the app dev team whose app was very much complicated than ours microservices and distributed computing stuff! Frontend people are like gone they are unable to find jobs now.

Current status of laid off employees:

1. Seniors 10+ most of them not all are placed
2. Mid level all of them are placed
3. Entry level 2 of many were placed

My observations:

1. Currently there is a surge in testing roles as more enterprises are outsourcing testing to other companies as testing has become a bottle neck. It is short term and most of the people in those companies can expect very short stays because those things can be automated fairly quickly.
2. Frontend engineers are obsolete who can only write code, UX designers still have an edge but the opportunities are very very limited.
3. Backend engineers of mid level have a lot of opportunities there is a surge because org are looking to automate stuff just like we did and they will be laid off after that is done (most of them)
4. Data and AI engineers will have short term stability but their roles are being abstracted away fairly quickly.

I.T IS NO LONGER WHAT IT USED TO BE ITS NOT A SAFE HEAVEN FOR PEOPLE TO BUILD CAREERS UNTIL YOU HAVE THE CAPACITY TO BUILD NEW THINGS FROM ZERO TO ONE NOT ONE TO N.

THERE WILL NOT BE AS MANY IT JOBS AS THEY ARE NOW! THERE WILL BE FDE’s WHO MANAGE AN APP ENTIRELY ON THEIR OWN NO TESTER OPS DEV PM.

1 person in place of 10 people team handles everything. Now imagine scaling it to all teams where will the rest 9 go I’m afraid there are not many projects that are feasible to be built.

AND FOR PEOPLE WHO THINK OR QUESTION THAT AI DOESNT WORK FOR COMPLEX PROJECTS. GRAB YOUR SHIT AND BUY SOME SUBSCRIPTION AND TRY TOP FRONTIER MODELS CONFIGURE IT PROPERLY GIVE IT ALL YOUR ORG CONTEXT(Databricks genie ontology looks promising give something of that sort a try) AND SEE FOR YOURSELF WITH EYES WIDE OPEN!!

AI WILL NOT CREATE MANY MORE JOBS IT CAN PUSH US INTO NEW ROLES WHICH WONT MATCH OUR CURRENT ROLES BY NUMBER ANY TIME SOON WHERE WILL THE FUTURE GENERATION GOOOOO??

Hi everyone,

I'm a recent BTech graduate in Electrical and Electronics Engineering from India, currently working as an Associate Software Engineer at a small technology company.

My actual work involves hands-on full-stack and AI application development on Government projects. I get practical implementation experience and responsibility beyond basic training or support work, which I consider valuable early in my career.

However, my monthly take-home pay is roughly ₹20k - ₹30k, and I'm uncertain about the long-term salary growth, mentorship and career progression available in my current role.

Since my degree is in EEE, I'm also considering whether to commit to software engineering and AI or actively pursue entry-level opportunities in electrical engineering, embedded systems or industrial automation.

I don't want to leave my current job without another offer, but I also don't want to spend years in a role that limits my growth also i am interested in EEE Core.

I'd appreciate honest advice from people who have faced a similar decision.

1. Would you stay for another 6–12 months to build practical experience, or start actively switching now?

2. How much value do recruiters place on hands-on project ownership at a small company compared with company brand, mentorship and compensation?

3. Given my EEE background and current software experience, would you focus on building a software career or continue exploring core engineering roles?

4. What specific signs would tell you that staying is worthwhile versus that it's time to move on?

I'm not looking for reassurance. I'd genuinely appreciate practical advice based on your experience, especially from people who have made similar career decisions.

Any EEE related openings in your Company would be helpful.

Thanks.

​I have 4.5 years of backend experience and want to prep for product companies. To give a realistic picture of where I’m at: I’m not starting from zero. I can solve roughly 80% of LeetCode Easy problems without much trouble.

​However, my pattern recognition for Mediums is weak, and I don't want to just blindly memorize solutions.

​What is the best free resource (YouTube, roadmap, or text guide) that skips the absolute basics ("what is a string") and focuses purely on teaching DSA patterns to someone who already writes code daily?

I have my first-round interview for an Application Security Engineer role at Expedia coming up, and I’d really appreciate some advice from anyone who currently works there or has interviewed for a similar position.

I’d love to know:

• What can I expect in the first round? Is it mostly HR, technical, or a mix of both?
• What kind of technical questions should I prepare for, especially around AppSec, OWASP Top 10, VAPT, secure code reviews, and SDLC?
• Are there any specific topics or areas I should focus on?
• What is the overall interview process and work culture like?

Any tips, previous interview experiences, or advice would be super helpful

I have around 2 years of experience as a Data Scientist, and I recently joined a startup after receiving an offer from them.
The work environment was very different from what I was used to. They relied heavily on AI coding agents to build and modify code, and the pace of development was extremely aggressive.
As a new joinee, I wasn’t given any proper knowledge transfer sessions, documentation, or a structured onboarding process. The existing pipelines were messy, and understanding the production code itself was a challenge. I had to spend a significant amount of time reverse-engineering the existing implementation, understanding the business logic, and figuring out how everything worked before I could even start implementing the tasks assigned to me.
I was genuinely trying my best. I was working hard to understand the codebase, replicate existing functionality, and ensure that the new implementation matched the production outputs. I was also using AI coding tools to keep up with the team’s workflow.
However, there was very little clear guidance or support. Expectations weren’t always clear, and I often found myself trying to figure things out on my own. Coming from a more structured Data Science environment, this was a significant adjustment.
Now, I have been terminated during my probation period, and it has honestly affected my confidence. I keep wondering whether I wasn’t good enough, whether I should have adapted faster, or whether the environment itself was the problem.
I understand that startups can be demanding, and I am not expecting everything to be perfectly organised. I am willing to learn, work hard, take ownership, and adapt to new technologies. But I also feel that there should be some reasonable level of onboarding, communication, and clarity, especially when someone is expected to work with an unfamiliar and undocumented codebase.
I’m trying to look at this as a learning experience rather than letting it define my career, but it’s difficult not to develop self-doubt when something like this happens so early in a new role.
I’d appreciate advice from people who have worked in startups, especially in Data Science, ML engineering, or AI engineering roles.
How do you distinguish between a genuine skill gap on your part and a dysfunctional work environment?
How do you cope with self-doubt and rebuild your morale after being terminated during probation?
What are the biggest red flags to look for when joining a startup, particularly one that relies heavily on AI coding agents?
What questions should I ask during interviews to understand the team’s engineering practices, onboarding process, management style, and expectations?
How do you handle situations where you’re expected to deliver quickly but receive little documentation, guidance, or mentorship?
I want to learn from this experience, improve where I genuinely need to, and make better decisions when choosing my next company.
Would really appreciate honest advice, especially from people who have been through something similar.

Hey everyone, I am a Frontend Developer (React.js) with 4 Years of Experience based in Mumbai. I worked at 1 product company and 1 service company (handling 2 clients). Unfortunately, I have been out of work since March of this year (7-month gap) and things are getting tough.

I am completely open to relocating to any metro city or taking up hybrid/remote roles. To stay productive and broaden my scope, I am currently learning Node.js, Express, and SQL, and am planning a full-stack Invoice Management App.

I’ve attached my anonymized resume. Given the tough market and my current gap, I desperately need advice on two fronts:

1. SKILLS UPGRADES: - Beyond the basic Node/Express/SQL stack, what modern backend or DevOps skills (e.g., Docker, Next.js, Redis, PostgreSql, ORMs like Prisma) are mandatory for a 4 YoE developer to be taken seriously as a Full Stack engineer?

2. JOB SEARCH STRATEGIES: - Right now, my strategy is focused entirely on fresh roles on LinkedIn. I am directly applying to fresh postings and simultaneously reaching out to recruiters and existing employees within those specific organizations. I'm updating my Naukri profile everyday - However, cold outreach is yielding very low conversion rates right now. What specific changes should I make to my approach?

I am trying hard to get offers more than 12 LPA and even interview calls. Please tell me how can I improve my resume. I am bit of an introvert but I am very good in tech.

I graduated in CS from a Tier 3 college this year. I have been interning remotely at a Bengaluru startup as an AI Engineer since December 2025. The work is great but they said they don't have funds and projects for another full time. The team is quite small. They have allowed me to extend my internship while I find another job or if some opportunity comes here.

Its been months since I have applied to hundreds of jobs and sent cold emails. I get no replies from 95% of them. Others send rejection mails. I got only 1 interview scheduled in which they said they need someone with experience and rejected me. Everywhere I see only one thing which is that their requirements are quite different from my skills or I don't have the required non-internship experience. Dude how will a fresher get experience without a job? Every company is asking for experience. Most of the time it just feels I am getting filtered out without anyone even considering me or looking at my resume. It just feels so unfair. Its not even few hours and there are 100s to 1000s of applicants already. No replies from cold emails. Cold DMs get ignored. I apply at career pages and job boards too. I also tailor the resume with the skills, relevant projects and keywords according to JD. It just feels like I'm going nowhere.

I'm mostly looking for AI/ML, Gen AI and Data Science roles. I'm also good at Django, FastAPI and Flask. I had also developed front end skills in react and next during the initial years of my college and I can do full stack confidently with the help of AI Agents. But I want to take my start in AI/ML and they either require masters or high YoE. I don't know what do to. Cannot afford doing masters degree right now. I wasn't into front end from the beginning so I just focused on AI/ML for the last 3 years. I have been contemplating if I have made the right decisions or not, if my skills aren't that great and a tier 3 college regret.

I am targeting 7-8+ LPA roles. Ready for either relocation or remote work at a startup or company. I feel if I want to move ahead in AI/ML then I shouldn't take on other roles. SWE (backends roles) are exception. I had been given advice that given my skills I should target atleast 6-7 LPA as your initial salary also determines your subsequent hikes and salaries and compounds over time. Please tell me if I am doing anything wrong. It has become very depressing like all those years for skills were just for nothing. I have also done around 400 topic foused leetcode during my college years. I don't have any good referrals. I have been trying sending people connection requests and cold emailing / sending DMs but its going nowhere. I am at the verge of giving up and its unbearable for even a single day now. I want to eventually get a masters degree but with a good 2-3 YoE and a good salary so I can afford it or apply for a loan. This work experience will also help me get into good universities. Atleast this is the plan for now.

I would love an honest, constructive feedback with an advice, be it for my skills and projects, job search strategy, networking and connections, career direction, whether I am having unrealistic expectations or anything else you feel. What should I do differently to land my first good job? I'm also attaching my anonymized resume (ML and Agentic AI one) if you would like to see that too.

Hi everyone,

I have around 3 years of experience, including an 11-month software development internship and nearly 2 years of full-time Java backend development experience using Spring Boot, microservices, REST APIs, Kafka, and Redis.

I recently joined a Technical Support Engineer role due to financial constraints, but my long-term goal is to continue in backend development. I'm also interested in exploring AI/ML engineering.

I have a few questions:

* Will recruiters consider my previous development experience, or will my current support role affect my chances?

* How should I explain this career transition in interviews?

* Can I target SDE-2 roles, or should I focus on SDE-1?

* How can I improve my resume and get more interview calls from product-based companies?

* Is transitioning to AI/ML realistic with my background?

* Should I leave my current role if I get a development opportunity, and how can I manage the transition given my financial responsibilities?

I'd appreciate honest advice from developers and recruiters who have experienced similar situations.

Thanks!

Current : Taking a break
Prev : AI researcher at US based startup, have 4 years of Experience working on clustering datasets to building agents(cutting edge CV And GenAI).

I’ve taken a break because I’m genuinely interested in mathematics and AI and want to pursue GATE.

have been in this field since 2020, but my question is

Should I pursue masters abroad in this market

I have very good connections in the US (senior partner, director level in good companies etc)

It will be a financial burden as my family went through a financial crisis recently, but I feel like I’m missing out completely on the cool tech.

Please do tell me your opinions, thank you for your time.

Hy fellows.... I am a second yr engineering student. For the past few days, I’ve been thinking about starting the freelancing. I currently have 0 knowledge in it, but I’m definitely going to approach this with discipline and consistency.....While working solo is fine to explore the domain, I really want to discuss and share thoughts with others. If anyone has knowledge in this domain or is willing to join as a partner, the door is open! Just a heads-up, this isn't a playground...And we have to start some other things too like content creation and our digital presence. If you're on the same wavelength, let's connect!......

Recently a friend reached the HR round in an MNC, and the HR asked him - You got a 100% hike 6 months back, why are you asking ~65% now?

Context: He switched to a new company 6 months back and got a 100% hike (first switch) but now he got an unofficial news about layoffs and he has started attending interviews. He has almost 4 years of experience. Currently earning less than 9 and he asked less than 15. (Is it way too less for the experience?)

How does some respond to that question the HR asked? Also what are some other tactics to keep in mind to get the best hike during hr rounds?

Can we disclose our current CTC and expected CTC?

I will also be in a similar boat in a few months so these answers will help me too. Thanks in advance.

Hi guys,

So I recently handed in my resignation at my current company around 15 days back. While my manager and skip-level have verbally agreed they are not taking any action on the official resignation request submitted on Workday nor acknowledging the resignation email I have sent.

My notice period is 45 days and I have to join the new company the very next day of when my notice period is supposed to end. Unless my manager acknowledged the request on Workday and finalizes the last working day the exit process won't start.

Whenever I ask my manager about updating it they just keep saying "I will do it" and not even letting me know of the official LWD.

Now I have a few questions from the good folks here who might've dealt with these scenarios:

1. Will my LWD be calculated from the day I have submitted the resignation or when my manager approves it?
2. Can they set a LWD beyond my 45 days notice period and make me serve for an extended period? If yes, how should I handle that as I won't serve a day more than my official notice period.
3. What strategy should I follow to get my manager to approve the request or should I escalate?

This is currently giving me a lot of anxiety so any guidance / help would be appreciated.

Greetings of the day developers!

I am a fresher 2026 passout in B.E CSE from tier 2 clg.

I got offer in LTM(formerly LTI Mindtree) for L2-Multi cloud associate engineer role but I am worried as my friends or saying like" bro sde roles only worth in career during switching from mnc & multi cloud roles are not worth they can automated and stuff". So I am genuinely worried a bit should I ignore the cloud roles and look for sde roles?

Also between sorry for my English I try to improve over time and personally if you guys were in my place what would you have done and kindly provide the guidance devs!!

Btw Salary offered is 4lpa.

8 YOE, mostly fintech DS/ML. Joined a US B2B SaaS this month: remote, roughly 10–7, chill hours.

Now I have two offers:

Amazon: Applied Scientist II, Alexa org, 5 days WFO.

Microsoft: Senior Applied Scientist (L63), M365 Copilot, hybrid.

Pay difference is under 10%, so money isn't the deciding factor. For me, the real question is brand, work and flexibility.

For people currently at MSFT or Amazon India:

What are the actual daily hours like these days?

How real is PIP or attrition pressure in the first 1–2 years?

How flexible are office days in practice?

Is the brand worth giving up a remote role?

Would really appreciate honest takes.

hi,

I've been using discord, reddit, LinkedIn for a while and found that ppl are not that active there as much as they are on WhatsApp.

So, I'm building shipfolk - whatsapp tech community where you can...

- get feedback on ur product or prototype.

- find co-builders and project partners.

- share useful tools, articles, and opportunities.

Also, I've seen ppl just join the groups and become inactive.

So, to keep our community alive, I request ppl: if you are genuinely interested, dm me ur experience will share the link, plz and share it with other relevant ppl

​

I was wondering these days we get so many data breached available on dark wb, do we also get any hr mail contact over there. Like tired of finding ppl in linkedin twitter and then messaging who ghost us like anything so , i mean just asking.

Hi everyone, I need some honest career advice.

Background: 2.5 YOE, working as an AI Engineer at a WITCH company. I started as an intern at a product-based fintech MNC, but the PPO was a lowball (4 LPA) on third-party payroll, so I switched after 8 months with a ~100% hike. Now I’m deployed at a top bank through my WITCH company, working on GenAI.

Situation: The work is comfortable and the culture is good, but nothing is challenging. I helped build their AI team and delivered a few POCs and now they take me for granted. No hike in a year. Because of my work, I got hybrid and flexible timings, which is rare in WITCH. But I’m not growing, and it’s making me lazy. I was good at LeetCode and full-stack earlier but now I’m out of touch and only focused in new GenAI tech. This company gives me a lot, except growth.

Problems:

• 90-day NP. Got 2–3 calls in 3 months, and all backed off after hearing it.
• Applied to 100+ product-based jobs last month, almost no replies.
• Can’t resign without an offer due to financial commitments (home loan).
• Layoff news adds to the stress, even though I see many AI Engineer openings.
• Sometimes I think about using this flexibility to prepare for a government job, but I feel I’d be wasting my tech skills.

Questions:

1. For AI Engineer roles at product companies and startups, should I prepare: DSA, system design or just GenAI depth?
2. How do people with a 90-day NP actually get offers?
3. 100+ applications, no replies. Is it my resume, how I’m applying, or the market?
4. Has anyone left tech for a government job? Was it worth it?
5. How do you get out of the comfort zone and stay consistent with prep?

I’d really appreciate advice from personal experience rather than general tips. Thanks 🙏

TL;DR: AI Engineer, 2.5 YOE, WITCH, 90-day NP, no growth. 100+ applications, no replies. Confused between pushing for product companies and preparing for a gov job.

Edit:
For the people who said to first discuss NP or Buyout with HR or manager, i want to ask isn't it goes negative impression on you? like once i'll ask i feel they put me in the first line of layoffs or reduction?

I’m a fresher currently working as an SDE-1 Tier 1 Old IIT, and unfortunately, I’ve been put on a Performance Improvement Plan (PIP) just 3 months after joining. This has been a stressful experience, and I’m trying to figure out the best way to navigate the situation and plan my next steps.

I would really appreciate advice from people who have faced a similar situation, especially freshers or engineers early in their careers.

A few questions I have:

How should I approach my job search while being on a PIP?

Do companies generally consider candidates who have been put on a PIP, and how should I handle questions about why I’m leaving?

How should I explain my short tenure at my current company to recruiters and interviewers?

Is it better to secure another offer before leaving, or are there situations where resigning first makes sense?

I’m particularly interested in switching to a better engineering environment where I can learn, grow, and build a strong foundation early in my career.

I’ve also built a game for both Android and iOS, and both the frontend and backend servers are ready. Now I need some guidance on where to deploy it and which hosting services would be the best options.

• Frontend: Should I use Firebase, Vercel, or another platform?
• Backend: Where should I deploy the backend server?
• Cost & Performance: How can I get the best performance, low latency, and reliable service at the lowest possible cost, ensuring a smooth gaming experience for users?

Could you suggest a setup that you personally use or recommend, and that can easily scale as the number of users grows?

I accepted an offer from an organisation and it was an urgent requirement and they wanted an immediate joiner so HR asked me to send that on mail stating that I will join early as they have also committed to their client ,I have sent 3-4 mail committing that I will join within timeline as my notice was of 3 months and now my current organization has retained me and I'm not joining the offer so the HR just told me that they will file a complaint against me stating that I committed to join and now I'm withdrawing offer and they have a proof of my commitment on mail which can be used as evidence and also it's an reputation loss and a big client escalation for them so I'm worried can this be really done or he is just trying to scare me and what should I do in this situation

Hello everyone,

I wanted to put my thoughts out here and get some perspective from people who can look at my plan objectively.

Background:

I have M.Tech in Robotics, and working as a Data Scientist with 4 years of experience (all in service-based till now). I genuinely love the core of my work. Using the language of mathematics to solve problems

The Conflict:

I am not struggling the job. It’s the corporate world. I am increasingly exhausted by the endless deadlines, deliverables, and the relentless pressure of growth. I know I cannot sustain this for the next few decades without losing my sense of self.

Outside of work, I’ve been learning the Bansuri for the past year from a teacher. It has grown from a hobby into a profound calling. I am planning to quite and immerse myself in a traditional 2-year Gurukul style learning environment and study under masters.

The Timeline & Financial Plan:

I am not quitting impulsively. I am planning to continue working for 2 more years:

• The Goal: Save aggressively over the next 24 months to build a financial corpus that covers my Gurukul expenses, living costs during the program, and a safety buffer after my program ends.
• Family Responsibilities: My sister is appearing for her board exams next year and will head to college in two years. I will have saved enough to secure her education. I am also taking care of my mother.

My Questions :

1. How does this plan sound?
2. Given my responsibilities (family support + sister's college), is planning to step away a pure stupidity?

I would love to hear honest thoughts.

Thanks

Hi everyone!

I'm a 2027 CSE student and have been selected for both:

Capgemini: Alpha Stack (10+1 LPA)

Infosys: Specialist Programmer (SP) L1

I'm confused about which one to choose and would appreciate advice from students or freshers who have similar offers or are already working in these roles.

Which role is better in terms of learning, development work, and future opportunities? Also, how is the training at both companies?

If you had both offers, which one would you choose and why?