why do fewer people get hired?
i like this pic
If you’re a casual user of X, you’ll know how cracked the people are and the difference between the industry requirements and what students are actually doing.
I could see that the people who are not getting hired follow a very similar pattern in terms of learning and building things.
1) You don’t even know what you’re doing.
The best way for a fresher to showcase his / her talent is by contributing to Open-source projects and building cool projects. But if we have a look at the way students are building their projects, we’ll notice the following workflow,
- Find an idea from the internet
- dump the idea to AI tools and automate the whole process
- Deploy the site in Vercel / Netlify
- Create an AI-written post on LinkedIn
This workflow cites the following,
- not able to find an existing problem statement
- You don’t like what you’re building
- You don’t care about scalability, code quality, and optimization
- You lack creativity and uniqueness.
I feel like the more AI projects you’re building, you’re literally destroying your credibility and the ability to get you hired.
2) Being non-specific, uninterested, and mid
I don’t believe anyone could be average. You’re either good or bad at something. If you feel you’re average, you’re just trying to be. Most of the students I’ve seen trying to accomplish a task just stop it midway, such as,
- I learn PyTorch, only the syntax, not how it works
- I learn ML, but I stopped when JVP came in
This cites a bigger problem with students, that is, “unable to lead something and get it done”. This kind of mindset formed due to the Indian parenting style, “trying to spoonfeed and make everything as easy as possible”. So, students go through the college period with this mindset, hoping that the placement cell will somehow get them placed.
Another problem is that you don’t like anything, or you don’t know what your course of action would be. I heard a lot of people say, “I like to do web dev”, but why? What are you going to do? And we get almost half-baked answers with AI content. Lack of purpose puts you beside.
3) Trying to copy, not inspire.
Blandly following “JavaScript in 30 hours” is a major reason why students are not doing well. It’s not awful to follow a tutorial, but restricting yourself to that tutorial is.
Everyone must ask themselves, “How much documentation have I read on the technologies I work with?”. If your count is unsatisfactory, give yourself a reality check.
4) Lack of perseverance
Students limit themselves when the task takes too long to complete or too much to process. We could simply say you want maximal returns with minimal effort, which is never possible in most cases. You should be trying to do cool things and take risks, even if it’s controversial.
5) You don’t have a public face, just your profession
It’s an ick when you don’t have a public face beyond your job title. If someone asks what you do, don’t just say your company or role, talk about the field you’re part of. If your whole identity disappears the moment you lose your job, that’s not much of a self.
Just start a portfolio, write blogs, and post content. It’s easy.
6) You’re more than your resume
You’re more than your résumé. When a recruiter asks about your internships or projects, they don’t want a jargon dump, they want the story: the problems you faced, the decisions you made, and the impact you had.
You sound more technical when you use fewer buzzwords and explain things logically.
A simple roadmap:
- Start with the topic you like
- Read books, papers, and build things
- Post your updates on X
- Share non-AI content on LinkedIn
- Cold-mail engineers and hiring managers
- Talk with cool people you come across on any platform
- Collaborate on building things
- Publish blogs
Just keep doing this , you’ll end up where you want to be.