Rui Dias

Quit engineering → building SaaS full-time in public
Host: Founder in 10'
Activate your Flow State @fluxo_app !

[Rui Dias @Dias_Builds]

Keep going.
Whatever it takes.
However scared you are.
If we could build this from scratch, in public, with no guarantees, so can you.
Fluxo is live. It was and will be a success. 🚀
Thank you to everyone who believed before it existed.
https://t.co/8ZOIO1RlV4 😍

[Fluxo @fluxo_app]

April 18.
Fluxo launched.
7 weeks.
4 founders.
One room in Guimarães full of people who showed up.
The product is live.
The context never dies.
The work continues.
Activate your Flow State → https://t.co/4ZfBcfnaq2 ⚡

[Rui Dias @Dias_Builds]

Digital enterprise solutions should come much much more from co-creation. Top industry players are loosing so much on this. Win-win scenarios are 10x more valuable on the long run, because they are incentive based

[Fluxo @fluxo_app]

How to Fluxo - Diagram Generator.
Describe it.
Fluxo builds it.
Flowcharts, mind maps, process diagrams, directly on your canvas.
No manual drawing.
No separate tools.
Activate your Flow State → https://t.co/4ZfBcfnaq2 ⚡

[Rui Dias @Dias_Builds]

@MakadiaHarsh Super true! Also some wrappers are literally just wrappers, they don’t really differentiate in any way

[Fluxo @fluxo_app]

How to Fluxo — Image Generator.
Text to image. Image to image. Right on your canvas.
No switching tabs. No separate tools. Just generate, drag, and keep building.
Activate your Flow State → https://t.co/4ZfBcfnaq2 ⚡

[Gonçalo Freitas @souofreitas]

Sigam em frente com os vossos sonhos. Façam o que tenham a fazer, por muito medo ou receio que tenham. Se nós conseguimos, vocês também!!! 🚀
Fluxo está no ar, foi e será um sucesso!😍
Obrigado a todos!
https://t.co/gZmAWFjSc6

[Fluxo @fluxo_app]

The workspace where your thinking never gets lost.
Activate your Flow State → https://t.co/4ZfBcfnaq2 ⚡
#Fluxo #AIWorkspace #YouTubeShorts

[Rui Dias @Dias_Builds]

Vector databases sound intimidating, yet the concept is simple.

-normal search finds exact matches. E.g: Search "apple" and you get results with the word apple.
-vector search finds meaning matches. E.g: search "apple" and you might get results about fruit, orchards, or recipes even if those words don't appear.

This is how modern AI search works and why it feels so much smarter than ctrl+f ever did.

[Rui Dias @Dias_Builds]

Here's the thing about ai hallucinations that most explainers miss:

-the model isn't lying.
-it doesn't have intent.
-it's doing exactly what it was designed to do, which is predict the most likely next word given everything it's seen.
Sometimes the most likely next word is wrong.

The fix isn't to trust it less across the board. It's to verify the specific categories where it consistently struggles: recent events, specific numbers, niche technical details.

[Rui Dias @Dias_Builds]

rag is one of the most important concepts in AI right now and the name is terrible.
It stands for retrieval augmented generation. In plain english: instead of the ai trying to remember everything it was trained on, you give it a specific set of documents to search through before answering.

To make a comparison we all understand, it's the difference between asking a doctor from memory vs asking a doctor who has your full medical file in front of them.
Most enterprise AI products run on this and most users have no idea.

[Rui Dias @Dias_Builds]

Here's why AI responses sometimes feel generic even when you ask specific questions:
1. the more vague your question, the more the model has to guess what you actually want. It defaults to the most average, safe answer it can generate.
2. the fix isn't a smarter model. It's a more specific question. "help me write an email" gets you generic.

"help me write a 3 line follow up to a client who went quiet after a demo" gets you something useful.

[Rui Dias @Dias_Builds]

AI is compressing the time between idea and prototype.

It's not compressing the time between prototype and something people actually pay for. That part still requires talking to users, killing your assumptions, and iterating on the problem more than the solution.

The hard part of building didn't get easier. Just the first part did.

[Rui Dias @Dias_Builds]

The AI news cycle moves so fast that being two weeks behind feels like being years behind.
Nevetheless, the fundamentals of building something people want haven't changed.
-distribution
-retention
-understanding your customer

The tools are new. the game is the same.

[Rui Dias @Dias_Builds]

Consistency is still the most reliable growth strategy on X.
Not the algorithm, not the viral post. Just showing up with something real every day for long enough that people remember you exist.

The accounts that grew the fastest in the last year weren't the ones who went viral once. They were the ones who never stopped posting when nothing was working.

[Rui Dias @Dias_Builds]

Most people are one good system away from 3x output. Not a better AI tool. Not even a faster computer.
But a system that keeps context across sessions, removes the friction of starting, and makes it obvious what the next action is. That's it!

Tools have always existed and will exist. The system is the hard part.

[Rui Dias @Dias_Builds]

Running AI agents in parallel is the current state of the art for solo builders. 500 commits a day is a real number for some people right now.

But the interesting question isn't how fast they're shipping. it's what they're shipping toward.

Speed without direction is just a more efficient way to build the wrong thing. Founders winning are the ones who solved the direction problem first.

[@levelsio @levelsio]

I said this I forgot to who but I said it

BigTech will eventually come for all apps / startups / companies because they can fill the niches now that before could not because they were too small

Those niches is where entrepeneurs hung out, nice parts of the market people could build a little SaaS with $100K/y to even $100M/y, notjing like the $100B/y revenue BigTech was doing, but worth it

With AI now BigTech can fill those niches + they are the ones training and owning the best models, and keeping the best models for themselves they can outcompete anyone who doesn't own them (everyone except other BigTech)

End game for their survival is simply trying to take every business, it's just capitalism

This completely changes the prospect for entrepreneurs as there won't be much left, because BigTech is financially incentivized to have to take everything

Because if they don't, their competitor will!

https://t.co/tuHz5Ddw8t

[Rui Dias @Dias_Builds]

Hot take: the AI tools that win long term won't be the most powerful ones. they'll be the ones that fit into how people actually work.

Most people don't work in clean linear workflows. They jump around, leave things half done, come back to ideas 3 days later.

The tool that handles that mess without losing context is the one people actually stick with.

[Rui Dias @Dias_Builds]

3 years ago the question was "should we use ai?" today the question is "which parts of the product aren't ai yet?"
The shift happened way faster than anyone planned for.

[Rui Dias @Dias_Builds]

The best thing AI did for solo founders wasn't speed.
It was removing the excuse that you needed a team to start.
Now the only thing between you and shipping is the idea.