Job search · My story

3 Months of Job Hunting: My Tips, Tricks & the 3 Platforms I Recommend

Over the last three months I applied for hundreds of jobs, connected with recruiters, and built my own product along the way. Here's what I learned — the problem, the system, and the parts that actually worked.

The problem nobody warns you about

Applying for jobs is not one task. It's five, repeated every single day: find roles across platforms, decide which are worth it, rewrite your CV for each description, keep track of where you applied, and follow up with the humans involved. Any one of those is manageable. All five, for three months, while also building something — that's where job searches fall apart.

I lost track of applications. I re-tailored the same CV dozens of times. Recruiter messages lived in one place, my tracker in another, and half the roles I applied to disappeared from my memory by the time a reply arrived. So I changed the system, and then built a tool for the parts no existing platform solved.

The short version

  • Naukri for visibility with Indian recruiters — keep your profile accurate and check it daily.
  • LinkedIn for people, not Easy Apply — network before you need a referral.
  • Tailor AI to discover, tailor, track and follow up — open source, local-first.
  • Results are personal, not guaranteed: 300–500 applications, nearly 100 responses, 8 offers in three months.

1. Naukri — get noticed by recruiters

Naukri was the platform where recruiters actually found me. The work is unglamorous but it compounds: a complete, accurate profile beats a clever one.

  • Keep your profile and resume updated. Every time you learn something new, add it. Recruiters search on keywords; stale profiles disappear from those searches.
  • Keep skills, notice period, and preferences accurate. A wrong notice period wastes everyone's time and costs you the interview.
  • Check relevant openings daily and apply consistently. Ten focused applications a day beats a 100-application weekend.
  • Consider a paid subscription only if it provides real value. Test organic reach first; pay for visibility when you can see the ceiling.
  • Set preferred locations strategically — but stay truthful about where you are. Listing every IT city signals desperation; listing none hides you from searches.

2. LinkedIn — never ignore networking

Easy Apply is the smallest part of LinkedIn. The value is the network: recruiters, hiring managers, and people who can refer you. I received 29 recruiter messages in three months — that alone is why I wouldn't ignore it.

  • Don't depend only on Easy Apply. LinkedIn is more than a job portal.
  • Connect with recruiters and hiring managers. A short, specific note beats a blank connection request.
  • Keep your profile and achievements updated. Your profile is your landing page; treat it like one.
  • Share your projects and what you're learning. Posts give people a reason to start a conversation with you.
  • Follow up professionally after interviews. A two-line thank-you with something specific is still rare.
  • Build genuine relationships before you need a referral. The referral request is the last step, not the first message.

3. Tailor AI — why I built it

I built Tailor AI because managing applications across platforms was frustrating. Tailoring CVs repeatedly and tracking every application took too much time. So I created a tool that helps with:

  • Discovering jobs across multiple sources — one queue instead of five tabs.
  • Tailoring your CV to each job description — per-job, ATS-oriented, grounded in your real experience.
  • Tracking applications in one place — including verified submissions and follow-ups.
  • Preparing personalized emails — to the recruiters whose details come from the postings themselves.
  • Using your own AI/API keys with a local-first workflow — your career data stays on your machine.

The goal is simple: stop losing track of applications and take control of your job search. It's open source (MIT), free, and self-hosted — you can run it with one Docker command.

My 3-month results

These are my personal numbers, from my own search. They are not guaranteed outcomes, and they are not a benchmark you should measure yourself against:

MetricResult
Job applications & submissions300–500
ResponsesNearly 100
Job offers8
LinkedIn recruiter messages29
Honest disclosure: results vary enormously by role, market, experience and timing. Treat these as evidence that a consistent system helps, not as a promise. And I built the tool — so read the Tailor AI section knowing that bias.

How Tailor AI solves each problem

The tool wasn't built to be another job board. It was built to fix the four things that broke my search:

ProblemHow the app handles it
Roles scattered across platforms27 sources in one search — 16 job boards plus 11 ATS career-site networks, deduplicated and scored against your Master CV.
Rewriting the CV for every jobOne click per job: a tailored, ATS-oriented CV built from your real experience — credentials and titles can't be invented.
Losing track of applicationsOne tracker for status, tailored versions, sent emails and follow-ups; verified submissions instead of assumptions.
Warm outreach taking hoursRecruiter contacts extracted from postings, with ready-to-send email and WhatsApp drafts.

My biggest tip

Use Naukri for visibility, Tailor AI to organize your applications, and LinkedIn to build connections. Also, check company career pages directly — some roles never reach a board. No tool can guarantee a job. Keep improving your skills, apply strategically, and show up every day.

Never stop building, even while you're searching for your next opportunity.

Still building — and honest about it

Tailor AI is still in development. Most features work today; a few won't. Auto Apply is the one I'm working on most diligently — it drives a real desktop browser through Greenhouse, Lever and Ashby, and it pauses for anything it can't answer truthfully. I push updates regularly, and the app notifies you when a new version is available — no need to re-download or reinstall.

Go and explore Tailor AI. If something doesn't work, that's useful feedback too — open an issue.

What's your biggest job-search tip? I'm collecting them — the next posts will come from real questions like this one.

A
Atanu Biswas

Builds Tailor AI, a local-first job-search client (MIT, self-hosted). This post started as a LinkedIn note after three months of searching — expanded here with the system and the honest numbers. GitHub →

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