Ferenc

💵 Helping non-technical founders build and scale ideas into exit-ready products

[Ferenc @ferenc]

Anyone can ship a SaaS in a weekend now.

I've watched this become a noise problem, not a competitive advantage.

When the cost of building drops to zero, 300 identical products launch the same week. Same wrapper, same launch post, different color scheme.

The bar to compete didn't drop. The number of competitors exploded.

The founders winning right now had an audience before they had a product.

[Ferenc @ferenc]

"SaaS will die" is the wrong diagnosis.

Three things are actually dying, and I've seen each one play out in client work this year:

→ Seat pricing, when one AI workflow does the work of three seats
→ Workflow products, when the automation replaces the workflow end-to-end
→ Products with no data layer. Just a UI skinned over someone else's model.

Those three things look like SaaS. They're not moats.

What survives is harder to copy than a feature list.

[Ferenc @ferenc]

@OpenAI @Lovable @Replit So the threat is real but narrow. It pressures the internal-tool layer. In regulated software it barely moves.

The death-of-X takes will age badly. The boring data residency questions will not.

What did your compliance team say?

[Ferenc @ferenc]

The takes on @OpenAI Sites are mostly wrong.

No, it is not the death of @Lovable or @Replit. Both are listed as launch partners.

The actual story is more interesting, and it lives in regulated industries.

[Ferenc @ferenc]

@OpenAI @Lovable @Replit At launch there is no confirmed answer on data residency, custom domains, SLAs or uptime.

Compliance teams do not adopt without those.

[Ferenc @ferenc]

It amazes me how often founders add AI to things that should stay dumb features. I find this short-sighted.

First, it adds complexity where none is needed. Most tasks don't benefit from agents, they benefit from being removed entirely.

Second, it skips the only question that matters: can you reverse the output?

If yes - automate. If no - keep a human in the loop.

That's not a limitation. That's the product.

[Ferenc @ferenc]

@suni_code https://t.co/4xIdPPpsB8

It's my daily engagement tool for linkedin. Curated feed, like/comment/skip triage.

[Ferenc @ferenc]

Stop sharing your positioning before the moat exists.
Stop sharing your roadmap before you've shipped the wedge.
Stop sharing your pricing logic before customers have validated it.

Start sharing the decision you made and why.
Start sharing the outcome, without the playbook.
Start sharing the lesson, without the method.

Do that consistently...

And the moat builds itself.

[Ferenc @ferenc]

If you want to ship an AI agent that doesn't end a customer relationship, answer these questions before it goes live:

→ What data can it read, and what is explicitly off limits?
→ What actions can it take without a human approval step?
→ What gets logged, and can you trace every decision back to an input?
→ Can you roll back what it does?
→ Where is the kill switch?

Most founders skip this. It will always cost them.

[Ferenc @ferenc]

Building a SaaS in a down market is hard. Building nothing and waiting for the right conditions is harder.

Watching AI commoditise your category is hard. Having no moat when it does is harder.

Getting cloned overnight is hard. Never building a wedge sharp enough to survive it is harder.

Hard markets filter everyone else out.

[Ferenc @ferenc]

You think losing customers to ChatGPT is an AI problem?

It isn't.

All the founders scrambling to add AI features before the churn gets worse and that's the wrong response.

Every user who switched to a generic tool was marking the exact step where your product made them wait, guess, or clean up.

That's not churn. That's your roadmap.

[Ferenc @ferenc]

Hightouch just raised $150M while the "SaaSpocalypse" posts peaked on LinkedIn.

SaaS isn't dying.

What's dying is undifferentiated SaaS. Features nobody asked for. Problems nobody validated. Users nobody spoke to.

The SaaSpocalypse is real. It's just not about SaaS.

[Ferenc @ferenc]

"I'd use this" is not a signal.

Validation is not 50 people saying yes on a form.

Opinions are free. Behavior costs something.

[Ferenc @ferenc]

I get this call at least once a month:

"Spent $18K on a dev shop. Code works. Zero users."

The shop did exactly what they were hired to do.

The brief was a feature list. Nobody had validated the problem.

You can write a perfect spec for the wrong product.

[Ferenc @ferenc]

100 free users won't teach you what 1 paying user does.

Free signups tell you the landing page works.

Paid conversion tells you the product does.

[Ferenc @ferenc]

Building a SaaS got dramatically easier in 2026.

Vibe-code a prototype in a weekend. Deploy Monday. Post the launch Tuesday.

Nobody talks about week 5.

The product is live. The paying users aren't.

The hard part didn't disappear, it moved. From building to selling.

Most founders optimized for the wrong bottleneck.