CVboosta

Hi IH,

I’m an 18-year-old developer from Ukraine.

Over the past few months I’ve been building CVBoosta, an AI-powered resume optimization tool designed to help job seekers improve their resumes for specific job descriptions instead of using the same CV everywhere.

The app currently includes:

• ATS compatibility analysis

• Resume vs Job Description matching

• Keyword gap detection

• AI-powered resume optimization

• Resume version history

• Job application tracker

• Native iOS app

One thing I wanted to avoid was generating completely fake resumes. The goal is to improve what the user already has while keeping it truthful and relevant.

I’d really appreciate honest feedback:

• What features would you expect?

• What would stop you from using a tool like this?

• What competitors do you think do this better?

I’m happy to answer any questions and discuss the technical side as well.

Thanks!

Talented developers with strong projects, real skills, and years of experience were sending dozens — sometimes hundreds — of job applications and getting very few responses.

At first, I thought it was just competition.

Then I thought maybe the market changed.

But the deeper I looked, the more I realized something strange:

Sometimes people aren’t losing to other candidates.

They’re losing to systems.

I started researching ATS platforms and modern hiring workflows. The deeper I went, the more interesting it became. Resume structure mattered. Positioning mattered. Wording mattered. Signals mattered.

Two people could have almost identical experience.

One looked like an average candidate.

The other looked highly relevant.

Not because their skills were different.

Because the system interpreted them differently.

That curiosity eventually turned into CVBoosta.

Originally there was no startup plan. No roadmap. No “let’s build an AI company.”

I simply wanted to understand why talented people were disappearing somewhere inside hiring pipelines.

Now I’m building a product around that problem and learning a lot along the way.

One thing surprised me:

Most users don’t actually have a skill problem.

They often have a communication problem.

Curious if anyone else here has built products after falling into a research rabbit hole.

Did your startup start intentionally — or by accident?

Also happy to get feedback:

CVBoosta

Over the last few months, I kept noticing the same thing happening around me.

People with real skills, good experience, and strong backgrounds were applying to dozens — sometimes hundreds — of jobs and hearing absolutely nothing back.

Not even a rejection.

Just silence.

At first I thought the problem was competition. The market is tough, especially in tech. But after digging deeper, I realized something else was happening.

A lot of candidates never even reached recruiters.

Their resumes were being filtered out by ATS systems before a human ever saw them.

And honestly, it felt weird.

People spend years learning skills, building projects, studying, improving themselves… and then get rejected because their resume structure, wording, or missing keywords don’t match what software expects.

So I started asking a question:

What if we could help people improve the signal instead of changing who they are?

That idea became CVBoosta.

We started building an AI-powered tool focused on helping users understand how their resumes perform and where they may be losing opportunities.

Instead of simply generating another generic resume template, we wanted something more practical.

CVBoosta analyzes ATS compatibility, identifies weak areas, detects missing keywords, helps tailor resumes to specific roles, and gives users actionable improvements.

The goal isn't gaming hiring systems.

The goal is helping people present themselves better.

We're still early.

We're shipping constantly, improving features, testing ideas, fixing mistakes, and learning as we go.

We've already started seeing users return and tell us they got stronger match scores and more responses after making improvements.

That's honestly the most rewarding part.

This is also only step one.

The long-term vision is much larger than resume optimization. We want to build tools that help people throughout the whole job-search process — matching, preparation, guidance, and smarter workflows.

I'd genuinely love feedback from other founders here.

Have you experienced similar hiring problems yourself?

And if you've built products in the career or hiring space, what worked and what completely failed?

Would appreciate any thoughts.

CVBoosta: cvboosta.com

Learn more.

Build projects.

Improve your portfolio.

Apply everywhere.

Simple.

Then I moved to another country, started university, and began applying seriously.

I sent application after application and noticed something weird:

Some rejections came almost instantly.

Some companies never replied.

Some applications felt like they disappeared into a black hole.

At first I blamed experience.

Then my projects.

Then my English.

Eventually I discovered something I should’ve understood much earlier:

A lot of resumes are filtered before humans even see them.

I started digging into ATS systems, resume structure, keywords, and job descriptions.

What surprised me most:

Many people don’t actually have a skills problem.

They have a positioning problem.

Two candidates can have similar experience, but one gets interviews while the other gets ignored.

That became an obsession for me.

So I started building a small experiment around this problem — an AI tool that analyzes and improves resumes based on specific roles.

Not because “AI SaaS” sounded cool.

Because I personally needed it.

Still validating.

Still learning.

Still figuring things out.

Curious:

Have you ever discovered that the real problem wasn’t what you originally thought?

Most job seekers don’t get rejected because they lack skills.

They get rejected because of signal mismatch.

A strong developer can apply to 50 jobs and hear nothing back simply because:

— the resume isn’t tailored to the role
— important keywords are missing
— ATS systems fail to understand formatting
— achievements are buried inside generic descriptions

In 2026, sending one resume everywhere is becoming less effective.

Small changes often create surprisingly big differences:

Tailor your CV.
Match role-specific language.
Show measurable impact.
Keep formatting clean.

The job market changed.

Applications became easier to send.

Standing out became harder.

We’ve been researching and building around this problem while creating CVBoosta and one thing became clear:

Better signal beats more applications.

Curious: what helped you get more interviews recently?

No feedback.
No interviews.
Just silence.

So I started digging.

And yeah — brutal truth:

Most resumes don’t fail because of bad experience.
They fail because they’re not machine-readable.

ATS systems filter them out for things like:

• missing keywords

• weak bullet points (“responsible for…”)

• неправильный формат

• отсутствие measurable impact

So I built a tool to test this on my own CV.

Upload → match with job → see what’s broken → fix it.

That turned into CVBoosta.

What I didn’t expect:

People don’t come to “rewrite” their CV.

They come thinking:
👉 “Let me just check my score”

Then they see reality:
👉 “Wait… my CV is actually weak here”

And instantly:
👉 they want it rewritten

So the funnel is simple:
curiosity → reality check → action

We just launched.

No paid ads.
No audience.
Just testing distribution.

Right now I’m focused on:

• getting first traffic (SEO, Reddit, Indie Hackers)

• improving conversion from free → paid

• understanding what people actually care about (score vs rewrite)

If you’ve built something in hiring / SaaS / SEO:

What channel gave you your first real traction?

Would really appreciate any honest feedback 🙏

Like most people, I thought my resume was “pretty good.”

Clean design.
Clear experience.
Looked solid.

But the reality?

Almost zero responses.

After digging deeper, I realized something uncomfortable:

It wasn’t about my experience.
It was about how it was interpreted.

Most resumes today don’t get read by humans first — they go through ATS systems.
And small things break everything:

• Missing keywords

• Weak bullet points

• Vague descriptions

• Formatting issues

So I built something for myself.

A simple tool that:

• analyzes a CV against a specific job

• shows where it fails ATS screening

• rewrites bullet points to sound like actual impact, not tasks

That project turned into CVBoosta.

No agency. No clients. Just a product we built over ~3 months.

What surprised me:

People don’t come for rewriting.

They come to “check their score.”

But once they see the gaps —
they immediately want the fix.

So the real value isn’t the score.

It’s helping people translate their experience into something both ATS systems and recruiters understand.

We just launched, so still early.

Now trying to figure out:

• where to get first consistent traffic

• how to convert free users → paid without killing trust

• how far we can push SEO in this niche

If you’ve built in this space or cracked distribution early — would love to hear what worked for you.

Hey IH,

I’m building CVBoosta — https://cvboosta.com

It helps people optimize resumes for ATS systems.

Right now:

- product is live

- getting some early users

- learning how people interact with it

But I’m unsure what to prioritize next:

1) improve product

2) push marketing

3) refine positioning

Would love to hear how you approached this stage.

While building CVBoosta (https://cvboosta.com), I noticed something:

Most people don’t get rejected because they lack skills.

They get filtered out by ATS systems.

Common issues I keep seeing:

- keywords don’t match the job

- bullet points are too generic

- formatting breaks parsing

Which means:

qualified candidates never even get seen.

It made me realize how broken this part of hiring is.

Curious if others here have explored this?

Hey everyone,

I’ve been building a small SaaS called CVBoosta — https://cvboosta.com

The idea came from a simple observation:

Most people don’t get rejected because they lack skills.

They get filtered out before anyone even sees their resume.

Modern hiring relies heavily on ATS systems, and small things like:

- missing keywords

- weak bullet points

- poor formatting

can completely block otherwise strong candidates.

While testing different resumes, I kept seeing the same pattern:

qualified people applying to dozens of jobs and getting no responses.

So I built CVBoosta to make this process clearer and faster.

You upload your CV, and it:

- analyzes what’s wrong

- highlights weak spots

- suggests improvements

- helps optimize for ATS

Still early stage, but already learning a lot about how broken this part of hiring is.

Would really appreciate any feedback:

- Does the idea make sense?

- Is the positioning clear?

- What would stop you from using it?

Thanks 🙌