Mike Wash

Building software that simplifies business and everyday life through AI and automation.

[Mike Wash @MikeWinosh]

I had a founder DM me last month.

Revenue was real. Business was two years old. Applied for a line of credit.

Denied. Reason: “insufficient business credit profile.”

He had no idea that was even a thing.

The business existed. The money was there. The entity wasn’t built like a fundable institution, it was built like a freelancer with an LLC.

That’s the gap Tacitus closes quietly.

→ https://t.co/QBXi0HYmby

Have you ever been denied funding you thought you’d qualify for? What was the reason?

[Mike Wash @MikeWinosh]

Most people think companies start with business plans.

The best companies start with experiences.

120Dreams wasn't created because I wanted another business.

It was created because I wanted to build something bigger than myself.

Something that creates opportunities.

Something that outlives me.

Something my kids can point to someday and say:
"Dad built that. #120DreamsToReality

[Mike Wash @MikeWinosh]

The model layer is a commodity. The infrastructure layer is the moat.
Stop arguing about which AI is best. Start asking what you've built on top of it.

[Mike Wash @MikeWinosh]

"AI founder" means nothing in 2026.
Every operator uses AI. Positioning on a tool is dead the moment the tool becomes default.
The founders building real authority are positioning on what they've built and how they think, not what software they use.

[Mike Wash @MikeWinosh]

In 2003, I lost my mother.

I was 10 years old.

It's one of those moments that divides life into before and after.

My grandmother stepped in and raised me.

Looking back now as a father myself, I understand how much she sacrificed.

The older I get, the more grateful I become.

Some people inherit money.

Some inherit opportunity.

I inherited resilience. #120DreamsToReality

[Mike Wash @MikeWinosh]

The mistake isn't automating too fast.
It's automating a broken process and making it faster.
Map first. Automate second. Almost no one does this in the right order.

[Mike Wash @MikeWinosh]

The thing nobody tells you when you open an LLC:

The 12 month clock starts immediately.

Business credit history. Paydex score. Trade line age. Every day you’re not building it, you’re falling behind a timeline that can’t be compressed later.

Founders who needed capital in month 18 and started in month 1 had options.

Founders who started in month 16 got denied.

Credit Pilot automates the credit repair and building process so the clock works for you, not against you.

Comment “Link”

When did you first learn your business had (or should have) its own credit profile?

[Mike Wash @MikeWinosh]

@KylezResearch Spot on… The shift from single turn chat to multi step agent loops completely breaks the traditional SaaS subscription model.

Intelligent routing isn't just a nice to have anymore; it’s operational survival

[Mike Wash @MikeWinosh]

The Hidden Cost in Your AI Stack

1/
Every founder using OpenAI’s API is currently being subsidized.

Here’s what that means, what happens when it ends, and what you should do about it before it does.

2/
OpenAI lost $1.22 for every dollar it earned in Q1 2026.

That’s a $6.95 billion quarterly loss. Projected $14 billion loss for the full year.

The company plans to spend $50 billion on compute infrastructure in 2026 alone. To put that in context: the entire U.S. semiconductor industry spent $56 billion on R&D in 2023.

3/
The loss isn’t a startup stumble. It’s a deliberate strategy.

The deal AI labs made with users: subsidize access, flood the market with cheap inference, figure out profitability later.

That deal had an implicit timeline. The IPO queue just made it explicit.

4/
When OpenAI goes public targeting September it becomes accountable to shareholders, not mission statements.

Public companies optimize for margins. Developers are not the margin.

Enterprise contracts are the margin. Consumer subscriptions are the margin. API pricing for small builders is the cost center.

The variable most likely to change first: API pricing for non enterprise users.

5/
Anthropic is on a different path.

Burn falling from 57% of revenue to 9% by 2027. Gross margins projected at 77% by 2028. Break-even two years ahead of OpenAI.

That’s not a model debate. That’s a financial architecture debate. Anthropic built for enterprise margin. OpenAI built for consumer scale.

Both are going public. The one that reaches profitability first has more pricing flexibility.

6/
What this means practically for founders building on AI infrastructure:

Model your unit economics with API costs 30 to 50% higher than today. If the business still works, you’re fine. If it doesn’t, that’s a product architecture problem to solve now, not after the price increase.

7/
The window is 12 to 24 months before meaningful price normalization, according to analysts tracking the inference cost stack.

That’s long enough to restructure your cost model, explore on-premise or hybrid inference for high volume workloads, and identify which AI calls are essential versus which are convenience.

The founders who do this work now won’t get caught by the change. The ones who assume current pricing is permanent will.

[Mike Wash @MikeWinosh]

A client sends invoice #47.

No response. Follow up email. Silence. Second follow up. Polite decline. Third attempt. Ghosted.

Six weeks later the invoice is either in collections or written off as a lesson.

Most founders handle this manually, emotionally, and inconsistently. The recovery rate reflects all three.

Vindico turns unpaid invoices into clear, AI driven recovery decisions. Not guesswork. Not a collections agency. A system.

→ https://t.co/Ov2Glv3US5

How many hours a month are you spending chasing money you’re already owed?

[Mike Wash @MikeWinosh]

@Kyriakos_Pelek Smart move. Just make sure to buffer your architecture along with your capital building model agnostic pipelines now makes it seamless to swap providers when that pricing shifts.

[Mike Wash @MikeWinosh]

Real question for founders managing AI tools right now:

Who’s actually supervising your agents?

Not reviewing supervising. Catching errors before they compound. Knowing when the output drifted. Understanding which tasks the agent handles well vs. where it consistently fails.

Most teams don’t have a real answer. They have adoption, not management.

That’s the problem Praefectus was built to solve. Your AI workforce needs a manager.

→ https://t.co/Sbm1EYrezN

Drop your answer below. Curious how operators are actually handling this.

[Mike Wash @MikeWinosh]

A VC in 2026 on AI startups: “Generic wrappers attract less excitement than operational products.”

The ChatGPT wrapper era ended when the underlying model became default infrastructure.

The founders winning right now own a specific workflow, produce a measurable outcome, and have proof.

That’s not a venture pitch. That’s a business.

[Mike Wash @MikeWinosh]

One of my earliest business lessons came from my grandmother.

She used to host garage sales.

As a kid, I watched people exchange value for money.
I watched negotiation happen in real time.

I watched inventory move.

I watched customers buy things they didn't know they wanted.

Looking back, that garage sale taught me more about business than most classes ever did. #120DreamsToReality

[Mike Wash @MikeWinosh]

Three companies are targeting trillion-dollar IPOs in 2026: SpaceX, OpenAI, Anthropic.

The first one SpaceX lists June 12.

What happens to those stocks in the first 90 days will shape VC appetite, founder narratives, and enterprise AI procurement for the next 18 months.

Watch June 12 closely. It’s the first data point on how public markets actually price the AI infrastructure layer.

[Mike Wash @MikeWinosh]

22% of approved small business borrowers earn under $500K annually.

Most founders think they need to hit a revenue number before they start building business credit.

They’re wrong. And that misconception costs them 12–24 months of credit history they can never get back.

The qualifier isn’t revenue. It’s time in business, entity structure, and credit profile.

Start building the day you open the LLC.

[Mike Wash @MikeWinosh]

48% of small businesses that apply for financing don’t get fully funded.

That’s not a market problem. That’s a preparation problem.

The founders who built their credit profile 12 to 24 months before they needed capital got funded. The ones who started the week they needed money didn’t.

Business credit is time sensitive infrastructure. You can’t compress the timeline.

[Mike Wash @MikeWinosh]

@CrisDashon Voted

[Mike Wash @MikeWinosh]

OpenAI loses $1.22 for every dollar it earns.

Anthropic’s burn is falling fast. Both are heading for public markets.

The AI pricing you’re building on right now is subsidized by venture capital.

IPOs end subsidies. Public companies optimize for margins.

Model your unit economics with higher API costs. 12 to 24 months before it changes. That’s not a long runway.

[Mike Wash @MikeWinosh]

Block cut 40% of their workforce. Ford’s CEO said AI will replace half of white collar workers.

Here’s the 90 day operational plan for what comes next.