Navorika

A few months ago, I started building a side project called Navorika.

The idea was simple:

Instead of building one SaaS product and trying to convince people they needed it, I wanted to build a collection of small tools around problems people were already searching for.

Calculators. Developer utilities. Construction tools. PDF tools. Image tools. Finance calculators.

Today, the project has grown to more than 170 tools.

But building the tools turned out to be the easy part.

Getting people to actually discover them is a completely different problem.

Why I chose tools instead of another SaaS

I've always liked the idea of utility websites.

Someone searches:

«"CIDR subnet calculator"»

or:

«"dumpster weight calculator"»

or:

«"SIP calculator"»

They aren't looking to become a customer.

They aren't looking for a demo.

They have a problem right now.

If your page solves it well, you've delivered value immediately.

That became the basic idea behind Navorika:

Search → Tool → Answer

No signup wall.

No free trial.

No requirement to give an email address just to perform a calculation.

The business model, if the traffic eventually becomes large enough, can come later.

First I need to prove that people actually want the tools.

My first mistake: thinking more tools automatically meant more traffic

This was probably my biggest misconception.

I initially thought the equation would look something like:

More useful tools

↓

More indexed pages

↓

More keywords

↓

More Google traffic

Technically, there is some truth to that.

But it leaves out the hardest part:

Google has to trust the pages enough

to rank them.

Publishing 100 URLs doesn't mean you suddenly have 100 traffic-generating assets.

For a new domain, most of those pages start with essentially zero authority.

Google may crawl them.

Google may index them.

Google may even start testing them for hundreds of queries.

But ranking is another matter entirely.

That distinction between being discovered and actually ranking has been one of my biggest lessons so far.

Google started testing the site before it started ranking it

One of the interesting things I've been watching is Google Search Console.

At first, almost nothing happened.

Then impressions started appearing.

Not necessarily clicks — impressions.

Google began showing different tools for long-tail queries, often at very low positions.

That was actually encouraging.

It meant Google was beginning to understand:

This page is about construction.

This one is about networking.

This one is a finance calculator.

This one handles developer data.

The important lesson for me was not to panic because the initial positions were terrible.

A new site appearing at position 70 isn't useful traffic.

But it's still very different from Google not knowing the page exists.

So right now I'm treating impressions as Google's experimentation phase rather than expecting instant rankings.

Another mistake: chasing tool count

At one point I became too focused on the number.

50 tools.

100 tools.

150 tools.

170+ tools.

It feels productive because there's an obvious metric going up.

But eventually I realized:

Tool count is a vanity metric if the tools aren't genuinely useful.

One excellent calculator ranking for 200 long-tail searches could ultimately be more valuable than 50 mediocre tools.

So I've started looking at the project differently.

Instead of asking:

«"How do I get to 200 tools?"»

I'm increasingly asking:

«"Which existing tool deserves to become the best page I can make for that problem?"»

That's a very different development strategy.

The long-tail opportunity surprised me

One thing that keeps me interested in this model is how specific search demand can become.

The obvious keywords are brutally competitive.

For example:

calculator

PDF converter

EMI calculator

image compressor

Building a new website and expecting to rank quickly for terms like those isn't realistic.

But users search for incredibly specific problems.

Instead of:

construction calculator

someone may need a calculator for a very particular material, measurement or job.

Instead of:

developer tools

someone might search for a particular JSON transformation, CIDR calculation or encoding task.

That's where I'm concentrating more of my effort.

I'm not trying to beat giant websites for their biggest keywords.

I'm trying to find thousands of small problems where a focused tool can provide a better answer.

I also learned that a calculator isn't just a formula

Initially I thought:

inputs + formula + result = tool

I've changed my mind.

A good tool needs:

clear inputs

+

validation

+

correct calculation

+

understandable output

+

explanation

+

examples

+

limitations

+

related next steps

The formula might take ten lines of code.

Everything surrounding it can take far longer.

That's especially true with finance and construction calculations where the result can look authoritative even when the user has entered unrealistic assumptions.

The interface has to help prevent bad inputs rather than simply calculate whatever number it receives.

Browser-side processing became part of the product philosophy

Another thing I didn't originally appreciate enough was how many useful tools can operate entirely inside the browser.

JSON formatting is an obvious example.

You don't need to send someone's JSON to your server just to run:

JSON.parse(input)

The same principle applies to many text transformations, encoders, calculators and file operations.

So wherever practical, I've been trying to structure Navorika around:

User data

↓

Browser

↓

Processing

↓

Result

rather than:

User data

↓

My server

↓

Processing

↓

Response

Besides reducing server work, it gives me a much cleaner answer when someone asks:

«"What happens to the information I paste into this tool?"»

For many utilities, the answer can simply be:

It doesn't need to leave your browser.

The project forced me to build systems earlier than expected

Once I crossed dozens of tools, maintaining everything manually became painful.

Every tool needs things like:

- a route

- category

- metadata

- related tools

- sitemap entry

- consistent UI

- validation

- search visibility

So I moved toward a central tool registry.

Conceptually:

{

slug: "example-tool",

name: "Example Tool",

category: "developer-tools",

description: "...",

relatedTools: [...]

}

From there, different parts of the application can use the same source of truth.

I also added architecture validation to catch problems such as:

Registered tool → missing route

Existing route → missing registry entry

Related tool → nonexistent slug

Duplicate slug → build failure

That has probably saved me from more mistakes than any individual framework feature.

SEO is becoming an engineering problem too

Before this project, I thought of SEO mostly as content and keywords.

Now I'm seeing how much of it is architecture.

Things like:

- stable URLs

- internal linking

- categories

- breadcrumbs

- structured data

- canonical URLs

- related tools

- page performance

- duplicate content

- crawlability

all become engineering decisions when you're managing hundreds of pages.

One wrong shared component can affect the entire site.

The upside is the reverse:

One architectural improvement can improve hundreds of pages simultaneously.

That's one thing I really like about this model.

I'm deliberately not monetizing aggressively yet

The obvious question is:

How does this make money?

Potentially advertising.

Possibly premium utilities eventually.

Maybe other models will become obvious from actual usage.

But I'm trying not to solve the monetization problem before solving the traffic problem.

Right now the sequence in my head is:

Build

↓

Get indexed

↓

Get impressions

↓

Improve rankings

↓

Get consistent organic traffic

↓

Then optimize monetization

Trying to maximize revenue from almost no traffic seems backwards.

I'd rather learn which tools Google and users actually value first.

Would I build 170+ tools again?

Yes — but I wouldn't build them in the same order.

If I started again tomorrow, I'd probably build 20–30 tools first.

Then I'd stop.

I'd watch Search Console.

I'd see which pages Google starts testing.

I'd study the queries.

Then I'd build outward from the clusters showing actual demand.

Something like:

30 tools

↓

Search data

↓

Identify promising clusters

↓

Improve those tools

↓

Build adjacent tools

↓

Repeat

That's probably more efficient than building a huge inventory first and analyzing demand afterward.

But having made that mistake, I now have a large testing ground.

And that makes the next phase interesting.

Where I am now

Navorika is still very early.

I don't have a huge MRR number to put in the title.

There isn't a dramatic "0 to $10k/month" story.

Right now it's simply a bootstrapped project with 170+ tools and early organic search signals.

I'm sharing it because I suspect other indie hackers are experimenting with the same question:

Can a large collection of genuinely useful free tools become a sustainable organic-search business?

That's what I'm trying to find out.

The project is here if you want to see what I'm building:

"Navorika — Free Online Tools & Calculators" (https://navorika.com/)

But I'm actually more interested in feedback on the strategy than getting signups — there aren't even accounts to sign up for.

If you were building this, would you:

A) keep expanding toward 200–300 tools,

B) stop building and focus entirely on SEO/backlinks for the existing tools, or

C) use Search Console data to identify the first 10–20 promising tools and concentrate almost everything on those?

I'm currently leaning heavily toward C.