Range Lead

Something feels off about how a lot of software is built right now.

We obsess over features, architecture, and distribution.
But we postpone the one thing everything depends on: inputs.

Before a CRM works, you need leads.
Before an AI agent works, you need structured data.
Before outreach works, you need targets that aren’t garbage.

Instead, many teams start with:

• a polished UI

• a roadmap full of features

• zero control over where their data actually comes from

Then six months later:

• someone is scraping by hand

• someone is buying questionable lists

• someone is writing glue scripts to fix broken exports

• suddenly “growth” is the problem

What I learned the hard way: owning the input layer changes the entire game.

Not better models.
Not smarter workflows.
Not more dashboards.

Just boring, repeatable access to raw material.

The strange part is this work doesn’t feel like product
It feels like plumbing.
So founders avoid it.

But plumbing is what determines whether anything flows at all.

I’m starting to think many failed SaaS ideas didn’t fail on UX or value.
They failed because they never controlled what fed the system.

Curious how many people here have hit this wall and quietly worked around it instead of redesigning everything upstream.
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If you want to see what I’m working on or give feedback, here’s the site:

👉 https://rangelead.com

I noticed something odd while working on this.

Most founders obsess over features, UX, onboarding, churn. All valid.

But almost nobody talks about the cost of getting the raw inputs before any of that matters.

Before your CRM is useful, you need leads.

Before your outreach works, you need targets.

Before your AI sales agent does anything, you need data it can trust.

And that part is usually:

• hacked together

• outsourced badly

• or paid for at an absurd markup

What surprised me most is how low the bar actually is.

You don’t need perfect data.

You need good-enough, structured, and fast.

Most teams aren’t losing deals because their product is weak.

They’re losing weeks because someone is still:

• scraping by hand

• exporting CSVs from five tools

• cleaning garbage columns

• arguing about whether a list is fresh enough

There’s a quiet shift happening:

People are less impressed by smart tools

and more interested in owning boring assets they can reuse.

Clean datasets scale better than features.

They don’t need onboarding.

They don’t break when an API changes.

They don’t care about UI trends.

This isn’t glamorous work.

It doesn’t screenshot well.

It doesn’t demo nicely on Twitter.

But it compounds.

If you’re building anything that touches sales, marketing, recruiting, or partnerships, my honest takeaway is this:

Stop starting from zero every time.

Owning the input layer changes everything.

Curious if others here have felt the same pain, or if I’m just scarred from too many CSVs.

If you want to see what I’m working on or give feedback, here’s the site:

👉 https://rangelead.com

I spend a lot of time on Indie Hackers, and one pattern keeps repeating:

People don’t lack ideas.
They lack leverage.

Everyone is thinking about a SaaS. Validating. Brainstorming. Polishing landing pages.
Meanwhile, the internet is quietly producing an insane amount of usable data every day.

So instead of starting with an idea, I started with something boring and very real:

Public business data.

I kept seeing the same thing again and again while doing unrelated work:

• Thousands of US businesses with no website

• Entire niches with outdated or missing info

• Regions where sales teams still rely on manual prospecting

No fancy insight. Just friction everywhere.

So I stopped theorizing and built a system that:

• Collects public business data at scale

• Structures it cleanly

• Turns it into ready-to-use lead datasets

That’s it.

No AI hype. No revolutionizing sales.
Just: here are 10k+ dentists in Florida, or 8k+ US businesses without a website, already cleaned and usable.

The funny part?
This is way harder to sell as a story than a shiny SaaS.
But it’s far easier to sell as a product.

People don’t want another dashboard.
They want fewer hours wasted building scraping pipelines or paying bloated subscriptions.

Current trend I’m betting on (and building for):

• Builders want assets, not tools

• Data beats features

• Speed beats customization

• Ownership beats subscriptions

I’m not claiming this is the next unicorn.
But it’s already solving a painfully real problem, and money shows up when that happens.

If you’re stuck looking for the perfect idea, here’s my uncomfortable take:
You’re probably avoiding execution.

Start with something ugly.
Start with something boring.
Start with something that already exists but is badly packaged.

That’s where leverage hides.

Happy to answer questions or share what broke along the way.

If you want to see what I’m working on or give feedback, here’s the site:
👉 https://rangelead.com

I built RangeLead because buying US B2B leads is unnecessarily painful

I didn’t set out to build another lead gen product.

I built RangeLead because every time I needed US B2B leads, the process felt broken.

You either pay for expensive subscriptions where you don’t control the data, or you get low-quality lists that need heavy cleanup, or you end up building scraping systems just to get something usable. None of these options are efficient if all you want is clean business leads to start outreach.

What frustrated me most is that the data already exists publicly. The hard part isn’t finding it. The hard part is collecting it at scale, structuring it properly, and packaging it in a way that’s actually usable.

So I built RangeLead to solve that exact problem.

Instead of tools, dashboards, or subscriptions, it delivers ready-to-use US B2B lead datasets. Industry-based, location-based, and focused on real sales use cases. The idea is simple: if someone wants leads, they should be able to buy leads, not maintain infrastructure.

This is a solo-built project, designed to stay lean and practical. No hype. No growth hacks. Just focused on data quality, automation, and making sure the output is something people can actually use.

I’m still early, validating which datasets people care about most and where the real demand is. But the goal is clear: remove friction between public business data and people who want to turn it into revenue.

Curious to hear from others here:
When you need B2B leads, what’s the most frustrating part of the process for you?

Happy to answer questions about the tech, data, or approach.

If you want to see what I’m working on or give feedback, here’s the site:
👉 https://rangelead.com