Built a simple tool for people tired of applying to the wrong jobs

Built a simple tool for people tired of applying to the wrong jobs

I’ve been working on Mployee.me for a while now, and the biggest thing I keep seeing is this:

Most job seekers are not short of effort.
They are short of direction.

A lot of people are applying to 50–100 jobs a week, but with the same resume everywhere. Then they either get no response or assume something is wrong with them.

In reality, the issue is usually much simpler:

  • the resume is not readable enough for screening systems
  • the resume does not match the job description properly
  • important role-specific keywords are missing
  • people apply to jobs that were never a good fit in the first place
  • they spend more time scrolling job boards than actually applying well

That is the problem we are trying to solve with Mployee.me.

Right now, we have built three main things:

  1. ResuScan This checks a resume for ATS score, formatting issues, missing sections, weak bullet points, readability, and keyword gaps.
  2. Resume Keyword Tool You can compare your resume with a job description and see what keywords are missing, what already matches, and what can be removed.
  3. Job Match Pro Instead of manually scrolling LinkedIn, Naukri, Foundit, Workday, and company career pages, users can upload their resume and get jobs that are closer to their profile.

The goal is not to make people apply to more jobs blindly.

The goal is to help them apply to better-fit jobs with a resume that actually matches the role.

I’m sharing this here because I’d genuinely like feedback from people who are job hunting, hiring, or building in this space.

What do you think is the bigger problem today?

A) resume not getting shortlisted
B) not knowing which jobs to apply for
C) too much time wasted on job boards
D) not customizing resumes for each role
E) something else entirely

u/WelcomeOk913 — 12 hours ago

We noticed something interesting about job search behavior

One thing I have been thinking about recently:

Most job seekers still discover jobs the same way they did years ago.

They open LinkedIn, Naukri, Foundit, or company career pages.
Then they scroll, filter, save, compare, apply, and repeat.

From a SaaS/product perspective, this feels like a huge workflow inefficiency.

The user is not really trying to “browse jobs.”

The user is trying to answer a much sharper question:

“Which jobs are actually relevant for my resume and worth applying to?”

That is a very different problem.

In our case, we saw that job seekers refreshed AI-matched job recommendations over 1 lakh+ times.

Each refresh roughly saves around 15 minutes of manual searching.

That means users are not just looking for more jobs.

They are looking for:

  • less noise
  • better fit
  • faster discovery
  • fewer irrelevant listings
  • more confidence before applying

This made me realize something:

A lot of SaaS opportunities are not about inventing a new behavior.

They are about removing the repetitive manual work from an existing behavior.

Job seekers were already searching across LinkedIn, Naukri, Foundit, and career pages.

The opportunity was not “create another job board.”

The opportunity was:

Can we make job discovery personalized instead of manual?

I think this applies to many SaaS products.

People do not always want another dashboard, marketplace, or tool.

They want the same outcome with less effort, less confusion, and faster decision-making.

Curious how other founders think about this:

When building SaaS, do you focus more on creating a new workflow or reducing friction in an existing one?

reddit.com
u/WelcomeOk913 — 5 days ago

We crossed 1 lakh+ AI job-matching refreshes — here’s what it taught us

Small milestone for us.

Our AI job-matching tool has now been refreshed 1 lakh+ times by job seekers.

Each refresh saves roughly 15 minutes that a user would otherwise spend manually scrolling through LinkedIn, Naukri, Foundit, and company career pages to find relevant jobs.

That means this feature has helped save around 15 lakh+ minutes of manual job searching.

But the bigger learning was not the number.

The bigger learning was this:

Job seekers are not really looking for “more jobs.”

They are looking for better-fit jobs without wasting hours finding them.

Most people still search for jobs in a very manual way:

Open LinkedIn.
Apply filters.
Scroll.
Save jobs.
Repeat on Naukri.
Repeat on Foundit.
Check company career pages.
Still wonder if they are applying to the right roles.

From a product/SaaS perspective, this feels like a classic workflow problem.

The user’s real question is not:

“Where can I find jobs?”

It is:

“Which jobs are actually relevant for my resume, skills, and experience?”

That is the problem we have been trying to solve.

This milestone made me realize that many SaaS products win by removing repetitive manual work from an existing behavior.

People were already searching for jobs.

The opportunity was to make that search more personalized, faster, and less noisy.

Curious to hear from other SaaS founders:

When you talk about your product milestones, do you focus more on the usage number or the time/value saved for users?

reddit.com
u/WelcomeOk913 — 5 days ago

Don't apply on Linkedin

A lot of people say this.

And yes, LinkedIn and Naukri may be crowded.

But here’s what most people won’t show you — the actual number of jobs available across platforms for IT roles like Data Science, Data Engineering, Software Development, and similar profiles:

Naukri: 9,712 jobs
Workday: 199 jobs
Unstop: 12 jobs
LinkedIn: 8,007 jobs

Now the real question is not:

“Which platform should I apply on?”

The real question is:

“How do I find the right jobs from all these platforms without wasting hours scrolling?”

Because no one wants to open LinkedIn, Naukri, Foundit, Workday, and every career page manually every day.

Imagine this instead:

You upload your resume once.

And you get the best-fit jobs across platforms based on your skills, experience, and profile.

No random searching.
No irrelevant job alerts.
No switching between 5 different platforms.

Just relevant jobs matched to your resume.

That is the future of job search. This is what we are creating

reddit.com
u/WelcomeOk913 — 6 days ago
▲ 15 r/30daysnewjob+1 crossposts

I tracked my job search for a month — here is what I found

I sent out 802 job applications in 30 days and only received ten actual interviews. It was a brutal wake-up call that my strategy of clicking apply on LinkedIn was mostly a waste of time.

I realized I was getting filtered out by bots before a human ever saw my information. I started tracking exactly where I failed and changed my process to get better results.

Stop using one master resume. I started tailoring my skills section for every single job description to match the exact keywords they were asking for.

I ended up using https://www.mployee.me to handle this part because doing it manually took way too long and I kept missing subtle requirements.

Focus on quality over volume. Once I stopped spamming applications and started spending 20 minutes per application instead of two, my response rate doubled.

Use simple formatting. Complex templates with images or columns confuse the systems that read your resume, so I switched to a plain text version that looks boring but works.

My biggest takeaway is that the job search is not about your experience as much as it is about how well you can play the matching game. Am I wrong that the resume content matters way less than simply hitting the right keywords for the algorithm?

u/WelcomeOk913 — 6 days ago

I built a tool to fix my own resume rejections

I sent out 114 job applications over three months and received exactly zero interviews. It turns out I was making the same mistake every single time.

I realized I was treating my resume like a biography instead of a data entry form for software. Most companies use ATS systems that discard anything that does not perfectly mirror their job description keywords.

Here is what I learned about getting past those automated gatekeepers:

Stop designing fancy resumes. ATS software often struggles to read images, text boxes, and complex columns, so stick to a clean, single-column format.

Match your language to the job post. If the listing asks for project management but you wrote project lead, the system might mark you as a non-match.

I ended up building https://www.mployee.me to automate this keyword analysis because manually checking every job description took hours.

Quantify your results with hard numbers. Use percentages, dollar amounts, and time saved to prove your impact rather than just listing job duties.

Limit your resume to two pages maximum. Recruiters spend about six seconds on their first scan, and extra fluff just hides the important details.

These changes doubled my callback rate within two weeks. I am starting to think that tailoring your resume to the software is more important than actual job experience. Am I wrong that the resume content matters less than the formatting for landing an interview?

u/WelcomeOk913 — 7 days ago

Celebrating 4 lakh users 🎉

Just completed 4 lakh+ registered users on my SaaS tool but still struggling to bring sustainable revenue.

Anyways - a win is a win - will find a way soon to increase daily actives users and ultimately the revenue

Getting good at bringing new people 🙌🏻 consistently but retaining the old is the real challenge 🏆

Next target - 10 lakh users soon!!

reddit.com
u/WelcomeOk913 — 11 days ago

Celebrating 4 lakh users 🎉

Just completed 4 lakh+ registered users on my SaaS tool but still struggling.

4 lakh users seems quite a lot but the DAU/MAU have been quite low. Good at bringing new people consistently but retaining the old is the real challenge.

What can be the issue?
- is my product not useful?
- the user flow is not good?
- marketing or retargeting channels needs to be consistent?

Or something else?

reddit.com
u/WelcomeOk913 — 11 days ago
▲ 4 r/WebsiteSEO+1 crossposts

SO fed up of GPT/Claude. No one gives genuine SEO advice

Based on old theory of SEO, we have created multiple pages revolving different category of keywords.

Now GPT is saying as per the latest Google updates, i don't need to create different krywords. Google understands semantic keywords and creates SERP issue here.

Gpt and claude both recommended to keep one page and make all remaining pages as 301 redirect?

Is this correct?. I am really confused

reddit.com
u/WelcomeOk913 — 12 days ago
▲ 13 r/DoSEO

SO fed up of GPT/Claude. No one gives genuine SEO advice

Based on old theory of SEO, we have created multiple pages revolving different category of keywords.

Now GPT is saying as per the latest Google updates, i don't need to create different krywords. Google understands semantic keywords and creates SERP issue here.

Gpt and claude both recommended to keep one page and make all remaining pages as 301 redirect?

Is this correct?. I am really confused

reddit.com
u/WelcomeOk913 — 12 days ago