u/iamfra5er

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Everyone wants to build the next big SaaS product.

Nobody wants to be the plumber fixing someone else's broken pipes.

Martin was building a tiny mobile app in CapacitorJS. Nothing fancy.

He needed fast updates. Simple feature, right?

The only solution? $2,500/month.

For something that seemed "sure easy to do."

So he did what any frustrated developer does – he built it himself. Open source. Just for his own app.

Then other developers found it. Started using it. Asked if he'd make a paid version.

He said sure.

Today he's at $20k/month. 85% net margin. $0 spent on ads.

What actually worked:

Free plugins as lead magnets

– He builds GitHub plugins people actually need. They find him organically. No cold emails. No Twitter threads.

Support = sales

– Every GitHub issue he fixes is a potential customer. He treats open source support like customer development.

Be the expert in a room full of beginners

– His customers "know nothing about native." He's not competing with experts. He's solving problems for people who are lost.

The lesson everyone ignores:

The best businesses aren't solving sexy problems.

They're solving the $2,500/month annoying problems nobody else wanted to fix.

Full story here

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Everyone's scraping Apollo and praying their cold emails land.

Romàn was doing the same thing.

Then he ran one test that changed everything.

He split his outreach into two groups: high-intent leads showing actual buying signals vs. random scraped contacts from Apollo.

Same offer. Same copy. Same everything.

The high-intent leads converted 4x better.

Most people would've just nodded and moved on.

Romàn built a whole SaaS around it.

Here's the kicker: his MVP wasn't even software.

It was a PowerPoint deck. He sold Excel sheets of leads.

No code. No fancy dashboard. Just validated demand before building anything.

(This was their second SaaS — they learned the hard way the first time that you sell before you build.)

The launch was messy. Month two? Churn rate was "absolutely horrible." But they iterated fast and it stabilized.

Today GojiberryAI does $85k/month. 50% net margin. 95% organic traffic.

His customer acquisition playbook:

- Reddit execution breakdowns (3x/week) - this post you're reading? That's the strategy.

- 5-6 LinkedIn posts daily across multiple accounts - lead magnets 6 days, founder story 1 day. Reply to every comment.

- YouTube long-tail videos - targeting competitor keywords to capture high-intent search traffic.

- Manual DMs to warm engagers - using their own tool to scale conversations.

No fancy attribution. No paid ads at scale. Just showing up consistently where B2B buyers actually hang out.

The lesson most founders miss:

- Your leads probably aren't bad.
- You're just targeting people who have no reason to care right now.

Full story here

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Everyone talks about building products.

Nobody talks about the hell of actually selling them.

Jakub had the same problem every builder has: he could ship. But getting customers? That was the real grind.

So he built the tool he wished existed.

Leadverse scans Reddit and X for people literally asking for what you built. Then automates the outreach.

Sounds obvious, right?

Except nobody else was doing it.

His first 10 customers came from a Reddit post where he just... asked what people were building. Then he ran their products through Leadverse and sent back 5 posts of people asking for their exact tool.

Most signed up. Some paid.

That was the MVP. One feature. Automated Reddit and X lead discovery.

He added more later - auto DMs, competitor analysis, real-time alerts. He even tried Bluesky scanning.

That flopped. Turned out nobody asks for tools on Bluesky. He killed it.

The growth strategy?

Post high-quality content on Reddit, LinkedIn, X. Blueprint-style posts work best. Plan ahead so you can stay consistent.

CAC? $0. Every customer came organically from Reddit.

The brutal part:

He almost quit multiple times. Bootstrapping solo meant doing everything - dev, marketing, support, SEO. Months in, he wasn't sure if the time was worth it.

He kept going anyway.

Now he's at $2.7k/month. 70% margin. Zero ad spend.

The lesson:

People don't want to spend time on outreach. They want it automated with trackable results.

Quality leads > spray and pray.

Next goal? $10k MRR and sub-30% churn.

Full story here

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Everyone wants to build "AI companies."

Nobody wants to deal with the messy data underneath them.

Danny was founding engineer at a vertical SaaS startup building AI for grocery stores. Cool, right?

Except 80% of their actual problems had nothing to do with AI.

It was parsing broken CSVs from SSH servers. Building custom SOAP XML servers for ancient on-premises software. Ugly, unglamorous work nobody wanted to touch.

The company kept calling itself an "AI company" and kept ignoring the real problem.

That's when Danny saw the gap.

First attempt: He built a generic data orchestrator. Burned out fast. No users, no feedback, just building into the void.

Second attempt: A friend connected him with a startup needing one very specific thing - a QuickBooks Desktop integration.

He almost said no. Too niche. Too small.

He said yes anyway.

Today he's at $25k/month. 90% net margin. $0 spent on acquisition.

Every single customer found him.

What actually worked:

• GitHub SEO hack - had friends star his SDK repo so it ranked for niche searches. Janky. Effective.
• Watch your API logs - he'd spot struggling users and reach out proactively. One customer called it "the best support I've ever had in my life."
• Boring solves real problems - nobody dreams of building QuickBooks integrations. That's exactly why nobody else built it.

The lesson nobody talks about:

The "AI" part of your product probably isn't your hardest problem.

The unsexy data plumbing underneath it is.

Full story here