Mat Gren

Helping Software House Founders Architect Their Singular Growth Engine for Predictable Scaling | Ex-CEO ($5M+ Agency) | Author @ SH Growth Engine

[Mat Gren @matgren]

@jamonholmgren So true... I actually studied computer science just because of my dream to create games

[Mat Gren @matgren]

Biologists who never wrote Rust are now rewriting their core tools with AI and getting 60-300× faster performance.
@phil_e from @seqeralabs dropped RustQC — 15 RNA-seq QC tools in one binary, 60x speedup, one BAM pass. All with Claude.
Same wave with fastVEP and others.
Domain experts + AI agents = real scientific software rewritten in days, not years.
This is Software 3.0 happening live. English is the new programming language.
Mind blown 🧬🦀
#Bioinformatics #Rust #AI

[Mat Gren @matgren]

@WojciechKargul1

[Jarred Sumner @jarredsumner]

99.8% of bun’s pre-existing test suite passes on Linux x64 glibc in the rust rewrite

[Mat Gren @matgren]

Trochę jakbyś miał samochód i wiedział jak nim jeździć, ale na innej planecie, każdy może siąść za kierownicą i przekręcić kluczyk, tylko że nie ma autostrad i dróg, a widoczność jest na 100m. Dodasz gazu i giniesz. Jedzisz wolno - i tak pakujesz się na miny i nie wiesz gdzie jechać aby je ominąć.

[Mat Gren @matgren]

Nie położy, zmieni je w super-marżowe service-as-a-software agencje z wyceną z mnożnikiem 15x i wyżej.

[FinansowyUmysł @FinansowyUmysl]

Niestety, ale o tym już pisałem rok temu.

AI położy nasze software house’y, ponieważ bazowały one na jednym czynniku - cenie i dostępności.

Nie było tam nigdy innowacji, poza tymi jak wcisnąć klientowi juniora w cenie seniora.

Ciekaw jestem, czy są jeszcze jakieś branże w Polsce, które mogą być zagrożone przez AI?

[Tomasz Karwatka @tomik99]

O tworzeniu firm wartych 100 mln i o tym co teraz robimy. Dobra rozmowa.

[Tomasz Karwatka @tomik99]

https://t.co/cIjOLO8XCD

[Mat Gren @matgren]

@elonmusk @elonmusk it's clear that for Sam from the beginning the bon profit was just a legal form, not a vision itself. I just wonder, haven't you noticed that in the early days?

[Mat Gren @matgren]

Do you know the biggest production ready code base 100% written with AI? Check @OpenMercato, 800k lines and growing with over 100 contributors, none of them wrote a single line of code.

[Remy 🇵🇱🇪🇺 @Ismetremy]

Brak długów,
idealna waga
8 godzin snu
Zdrowie psychiczne w normie
Właściwe odżywianie,
zero alkoholu
To był mój szczyt.
Miałem wtedy 10 lat.

[Tomasz Karwatka @tomik99]

The Open Source math that many companies still don’t understand.

We’re building something that would cost millions to recreate from scratch. And… we give it away for free.

Then someone asks:
“Why does consulting for this cost $150/hour?”

Here’s the thing: Open source isn’t cheap. It’s already been paid for.

Thousands of hours. Dozens of senior engineer months.
Real IP that normally sits behind paywalls or inside closed systems.

With Open Mercato, we put it all on the table.
Code. Architecture. Thinking.

AI has broken the economics of software.
Projects that used to be impossible to justify
suddenly make sense. 2–3x faster development.
Estimates that used to scare clients
start closing.

But here’s where people get it wrong:
You’re not paying for code. You already have the code. You’re paying for decisions.

Decisions that cut months off your project.
Decisions that help you avoid mistakes that cost a fortune.
Decisions from people who built the system and know exactly where the landmines are.

That’s why it’s $150/hour.
Because this is the rarest resource on the market.

You pay for a few hours of an expert and get access to IP worth millions.
You compress time-to-market.
You skip the mistakes that kill projects.
This is knowledge arbitrage.

Open source isn’t charity.
It’s a business model.

It accelerates adoption.
Lowers the barrier to entry.
And monetizes what’s truly scarce:
Context. Experience. Judgment.

Everything is open.
You can take the code and build it yourself.

Or you can move faster with our consulting partners.
Your call.

[Tomasz Karwatka @tomik99]

Startup Idea. Healthcare: Intake to Documentation

There will be 100 successful startups built on AI-first healthcare workflows.

Clinics still collect data on paper forms and then retype it into EMRs.

Doctors spend more time on computer than with patients.

Build a Healthcare Intake Agent that:
- digitizes patient intake
- structures symptoms, history, and meds
- pre-fills EMR entries
- drafts visit notes for review

Vertical AI in healthcare is already doing real-time documentation.

If you’re a dev shop in medtech, this is your chance to create regulated-ready IP on @OpenMercato.

[Mat Gren @matgren]

It was a blast! Great conference, awesome talks and @OpenMercato fast intro in 15 minutes.

[Tomasz Karwatka @tomik99]

Open Mercato Business Model

[Tomasz Karwatka @tomik99]

The future of enterprise software is not replacing every legacy system. It’s building a smarter layer on top of it.

That’s why @OpenMercato matters.

AI Coding + open source + modular architecture = a radically faster way to build, extend, and operate enterprise software.

Instead of another bloated monolith, you get a flexible framework for real business workflows.

[Mat Gren @matgren]

@tomik99 It's great to be part of such movement!

[Mat Gren @matgren]

@JulienBek @ryanjdaniels @mitch_troy @jakeserval @BrendanFoody @davepaffenholz @andrei_serban @justindross @ChKashifAli @nicckopp @StephenHedlund @askvladi @tomik99

[Tomasz Karwatka @tomik99]

We did it. First 1,000 GitHub stars for @OpenMercato!

AI-assisted engineering is no longer a toy. It’s landing inside real Enterprises and Open Mercato is one of the first platforms built natively for this shift.

Developers are learning a new paradigm of building business applications on top of our framework.

The tornado is here 🌪️

[Mat Gren @matgren]

@sadek @grok podsumuj proszę @sadek bo pisze mądrze, ale długo :)

[Mat Gren @matgren]

@openclaw When OpenClaw will power half of the internet you will too ship conferences :)

[Rohan Paul @rohanpaul_ai]

Andrej Karpathy on what makes Elon Musk unique.

Elon keeps teams small, highly technical, and removes low performers very quickly.

He pushes for intensity, avoids useless meetings, and stays deeply connected with engineers.