A friend of mine works at a small milk tea chain. Twenty stores, growing fast, loyal customers. They have exactly two software engineers building their app.
The app sucks.
Orders get lost. The loyalty program breaks. The menu loads slowly. Push notifications go out at 3 AM. Customers complain in the store, and my friend just apologizes — he knows the engineers are trying their best, but two people can only do so much.
It's not that they don't want to build great software. They literally can't afford more engineers. And the off-the-shelf solutions don't fit — a milk tea chain has weird specific needs. Custom drink modifiers (50% sugar, less ice, extra boba, add cheese foam). Multi-store inventory for perishable ingredients. A loyalty program that actually works for walk-in teenage customers who don't want to sign up for anything.
This isn't a rare story. It's everywhere. Small businesses stuck with bad software, not because the problems are hard, but because they could never afford to solve them properly.
AI is changing that. And it's not just helping small businesses build better internal tools — it's creating an entirely new category of software companies that serve markets nobody cared about before.
The Cost Wall That Held Everyone Back
For two decades, software had a minimum viable budget. Below a certain threshold, it didn't matter how good your idea was — the economics didn't work.
Want to build a SaaS product? You needed a backend developer, a frontend developer, a designer, a DevOps person, a QA tester, maybe a PM. At least 12-18 months. $500K–$2M in funding.
Want to build an app for your business? Same problem. You'd hire an agency for $200K, get a mediocre result, and then pay maintenance forever. Or you'd hire two engineers and watch them drown.
This created a strange world where:
- Millions of small businesses used Excel for everything
- Entire professions had no dedicated software
- People cobbled together generic tools for specialized workflows
- The long tail of human problems had no software solutions
The software industry served the head of the distribution — big markets, big budgets. Everyone else made do.
What AI Actually Changed
One person with AI can now build what used to take a team of 10 six months. Not a prototype — a real, shippable product with auth, billing, database, deployment, the works.
This doesn't just make software cheaper. It changes who gets to have good software.
| Old Model | AI-Era Model | |
|---|---|---|
| Team to build a product | 10-50+ | 1-3 |
| Build time | 6-18 months | 1-4 weeks |
| Funding needed | $500K-$5M | $0-$10K |
| SMB internal app budget | $200K+ (agency) | Near-zero (in-house) |
| Market size worth serving | Massive | Tiny niche |
For SMBs like my friend's milk tea chain, this means their two engineers can suddenly do the work of ten. Build a proper ordering system in a sprint. Fix the loyalty program in a weekend. Add real-time inventory across all twenty stores without hiring anyone new.
For entrepreneurs, it means a product serving 500 people paying $50/month = $300K/year is now a viable business. For a solo founder with near-zero costs, that's life-changing money. For a VC-backed startup, it was never worth a meeting.
Two sides of the same coin: small teams can now build software that used to require big teams with big budgets.
The SMBs Get Better Software
Go back to the milk tea chain. With AI, those two engineers could build:
A proper ordering system that handles custom modifiers without breaking. A loyalty program teenagers actually want to use. Real-time inventory across all twenty stores so they never run out of boba on a Saturday. Push notifications timed to after-school hours instead of 3 AM.
And this pattern repeats everywhere:
The independent bookstore that can't afford a custom POS system. One tech-savvy employee with AI can build exactly what they need.
The local gym chain paying $2,000/month for generic gym software that doesn't fit their class-based model. Their one developer can build something better in a month.
The regional logistics company running everything on spreadsheets and WhatsApp. A small IT team can build a proper tracking and dispatch system.
These businesses don't need venture-scale software. They need software that fits their workflow, built by someone who understands their problems. That used to cost too much. Now it doesn't.
The Solo SaaS Companies Serve the Niches
The other side of the coin: some of those small team builders will turn their solutions into products.
Someone builds a great ordering system for their milk tea chain. Then realizes every bubble tea shop has the same problem. So they package it up, charge $40/month, and suddenly there's a SaaS product for bubble tea chains.
Not restaurants. Not cafes. Bubble tea. The modifier system, the seasonal drink rotation, the ingredient-level inventory for perishable toppings. There are maybe 50,000 bubble tea shops globally. A $40/month product = $24M TAM. Too small for Toast or Square. Perfect for a solo founder who lives in that world.
These niches are everywhere:
A scheduling tool for pet groomers. Not generic scheduling. Pet groomers. Different workflow, different terminology. 50,000 businesses globally. Perfect for one person.
Inventory management for coffee roasters. Batch tracking, bean origins, roast dates, wholesale vs. retail pricing. 10,000 potential customers. Beautiful for a solo founder.
Invoicing for freelance translators. Per-word pricing, language pairs, rush fees, agency vs. direct terms. 500,000 freelancers globally. A $15/month product = $90M TAM. Too small for Salesforce. Just right for a two-person team.
Practice management for speech therapists. Insurance coding, IEP goal tracking, parent portals. 100,000 potential users.
Before AI, none of these made economic sense. Now they're all viable.
Why Big Software Can't Serve These Markets
Why don't Salesforce or HubSpot just add these features? They can't. Not because of technology, but because of their economics.
A feature for 50,000 pet groomers generates maybe $1M/year. For Salesforce, that's rounding error. The PM who pitches it gets laughed out of the room. The engineering sprint costs more than the feature earns.
Big software companies are constitutionally unable to serve small verticals. Their cost structure demands big markets. They optimize for the average of a huge customer base, which means nobody gets exactly what they need.
A solo founder has the opposite economics. 50,000 customers at $30/month is life-changing money. Every single customer matters. The product fits the workflow exactly, because the founder lives in that world.
This Is Already Happening
Solo SaaS founders are building real businesses right now:
- Pieter Levels built Nomad List, Remote OK, and PhotoAI — multiple products, one person, millions in revenue
- Danny Postma built HeadshotPro — AI headshots, solo founder, profitable within weeks
- Marc Lou ships a new product almost monthly — each one niche, each one profitable
The pattern: find a specific pain point, build a focused solution, charge for it. No board meetings. No fundraising. Just build, ship, earn.
What Happens to Big Software
The big companies aren't going away. Neither did department stores when boutiques opened. But the dynamics shift:
Market fragmentation. Instead of 3 CRM options, you'll have 50 — one for real estate, one for fitness studios, one for legal practices.
Price pressure. When a solo founder charges $15/month because costs are near-zero, the $299/month generalist needs to justify the premium.
Speed. A solo founder ships a feature in a day. A big company needs sprint planning, design review, QA cycles. The niche player moves 10x faster.
The "good enough" threshold. Most customers need 5 features that work perfectly for their workflow — not 200 features that half-work for everyone else.
The Future: Good Software for Everyone
Here's what excites me most.
My friend's milk tea chain gets a great app. Built by two engineers who suddenly have superpowers.
The pet groomer down the street gets scheduling software that actually fits. Built by someone who used to be a pet groomer.
The freelance translator gets an invoicing tool that understands per-word pricing. Built by a translator who got tired of spreadsheets.
For decades, good software was a luxury only big companies could afford. Everyone else made do with generic tools and workarounds.
That era is over. Small teams — whether building for themselves or building a product — can now create software that used to require a small army.
The long tail is open for business.
What software do you wish existed for your industry? I'd love to hear about the niches nobody's building for yet.
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