I formally studied marketing as a university program (5 years), and due to inspiration on social networks, it feels completely natural to do it, even easy to learn (because most of the time you just guess what might work for you).

BUT

Not gonna lie.

A topic like this was outlined on X, and many people were discussing it.

For years, I ve been hearing that we re a mobile-first (or even mobile-only) society.

Smartphones are portable. We spend the most time on them.
Distribution via App Store / Play Store is huge.

So logically You should build for mobile, right?

When AI entered the public stage in 2023, I was working as a copywriter. One client gave me a condition:

either I write more articles using AI for the same price
or I lower my rate per article

That was when I realised this job was starting to change significantly. (And I ended up.)

1. Y Combinator startup will pay humans to help AI agents when they get stuck. (This is what I read today.)

2. At the same time, I see how Indian employees in production have cameras on their heads, and the AI learns from their movements (practically filming their firing process).

3. In addition, there was already a site where AI agents hired human actions for stablecoins.

• First, AI worked for us.

• Now we are starting to work for AI.

• And eventually, will AI work (without us)?

I don t want to portray a Terminator scenario where people will have to unite against AI, but what future awaits us in terms of cooperation/non-cooperation with AI?

Augment Code has been quietly building enterprise-grade coding tools for large engineering teams, and they launched Intent. heir answer to what comes after the IDE.

According to their announcement:

"The bottleneck has moved. The problem isn't typing code. It's tracking which agent is doing what, which spec is current, and which changes are actually ready to review."

This may sound dystopian, but ever since I watched all the Terminator movies, I can t help seeing the parallel:

People are becoming overly dependent on AI and feeling helpless without it. Almost as if AI slowly takes control of our lives.

Some of the most inspiring startup journeys of the last few years happened in plain sight.

@levelsio built Nomad List and Remote OK live on Twitter sharing revenue numbers, failures, and pivots in real time. @marclou does the same, shipping products publicly and turning his audience into his distribution. Both have built massive followings and real businesses partly because of how openly they build.

There's never been a better time to build. AI tools, smaller teams, faster product cycles.

Last year, @Supabase surveyed over 2,000 startup founders and builders to uncover what's powering modern startups: tech stacks, GTM, and approach to AI. [1]

Many things have changed since then, and they want to know what building at startups looks like in 2026.

I don't have a CS degree. Never shipped a product. Never started a company. One month ago I didn't know what a Next.js route was.

I built Four-Leaf.ai, an AI career prep platform with voice mock interviews, resume tailoring, and negotiation coaching. It's live, it has users, and I launched it on Product Hunt today.

We thought we were ready.

Bigger deals. Fewer customers. Better margins. That was the dream.

So we built enterprise features. SSO. Advanced permissions. Audit logs. A whole new pricing tier starting at $2,000/month.

We spent 6 months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness."

In most parts of the world, Easter is being celebrated right now, honestly, not really.

Today, I was invited to a weekly meeting despite the holiday.
I had forgotten one fact: Orthodox countries celebrate Easter a week later.
(and countries in the Far East simply don t have this holiday at all.)

This is actually a broader topic, because every country celebrates holidays differently, and with many teams being international, some kind of synchronisation is necessary the question is: how?

Today, this graphic caught my attention:

It featured individuals who managed to build significant profit while running their businesses solo, without employees. Until now, I ve seen these more as exceptions rather than the norm.

Six months ago, we ran an experiment with our own data.

At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard.

I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize. Give me the numbers."

The answer changed how I think about competition.

I m building Blood Sugar Journal a simple diabetes tracker with AI insights.

Trying to understand what actually annoys people in daily tracking.

There's a question we all ask when setting up @OpenClaw: which model should I actually use?

What are your suggestions? Any preferences?

Last week we did something stupid.

We paused all human coding. Gave Claude (Anthropic) access to our GitHub repo. Told it to build new features, fix bugs, and ship.

No human review. No guardrails. Just Claude and our codebase.

For 7 days, it ran the engineering team.

I keep hearing and reading about how programmers are at risk; basically, everything that can be replaced by AI is at risk.

• Yesterday, Lenny Rachitsky shared a post that PM openings are at the highest levels since 2022.

• At the same time, I read how big giants (Meta, Amazon, etc.) are laying off engineers because of AI, and then I read about how they had to hire back again because something managed by AI went wrong.

I'll go first.

Someone told me: "Just be consistent. Post every day. The algorithm rewards consistency."

So I did.

For six months, I posted every single day. Sometimes at 7am. Sometimes at 10pm. Weekends included. I wrote about our product, our features, our roadmap. I followed all the "best practices" hook in the first line, three takeaways, call to action at the end.

Let me start from the creator s perspective:
I personally don t have a product (apart from hiring people for creative work or offering personal consultations).

But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).