Why Great Products Fail Without a Ready Ecosystem

Many people ask me about the secret to building products used by millions of people.
My answer is always the same.
A great product is important, but you need an ecosystem that is ready to accept that innovation.

If the market is not ready, your features will not survive.
It does not matter how good your code is.

When we talk about people who consistently nurtured the tech ecosystem in Indonesia since day one, one name stands out: Rama Mamuaya.
If you only joined the startup world recently, you might just know him as a tech media figure.
But for me, someone who has spent two decades building products from scratch at Tokopedia, Hijra, Flip, and various startups, his contribution is much deeper than news coverage.

He built the living room for this industry.
It was a place where founders talked, product people debated, and engineers learned from each other.

From the perspective of a professional product manager, the way he grew the local tech ecosystem holds a massive business lesson.
It is a lesson you must learn if you want your career and your products to last.

Communication before you write code

As a PM, your first job is not thinking about features.
It is not about choosing a framework.
Your first job is finding out what hurts the most and who is suffering from it.
You have to understand the language of the market.

In the early 2010s, the biggest problem in our local tech industry was information isolation.
Founders worked completely alone.
Product managers guessed what users wanted.
Engineers built things in isolated corners.

There was no local reference that truly dissected how startups worked inside.
Everyone looked overseas for inspiration.
This was a mistake because our market had highly unique problems.

Rama saw this massive gap.
He did not build software to answer it.
He built an information hub.
He covered, analyzed, and brought stories from inside tech company kitchens to the public.

The effect on product people like me was immediate.
We finally knew what projects our competitors were working on.
We understood which sectors investment trends were flowing into.
Our decisions on building roadmaps became much sharper because we actually had data.

This is the first crucial lesson.
Understanding the battlefield is just as important as preparing your weapons.
Communication and transparency in an industry are the fuel for innovation.

The shifting rules of leverage

Building a healthy ecosystem also means teaching its players to be efficient.
Our tech ecosystem was pushed to care deeply about business metrics and unit economics.

Making companies lean is an old habit of mine, long before AI became popular: $4 million+ per year from various initiatives.
Back then, that kind of leverage required a title, a team of engineers, and expensive systems.

At Flip, I pushed to cut money transfer costs by roughly 32 percent in six months.
That translates to about USD 2.12 million in yearly savings, hitting 450 percent of our initial target.
At Tokopedia, my team cut OTP costs by around USD 2 million a year.
We did this while still improving the login success rate and supporting growing monthly transactions.

In the past, getting efficiency at that scale was incredibly hard.
You needed a long chain of approvals.
You had to sacrifice other priorities in the product backlog.
Every single decision had to pass through multiple layers of bureaucracy and negotiation.
Because the tools were limited and expensive, only a handful of people could drive massive impact.

This mindset of working smart is exactly what early ecosystem builders championed.
Startups were taught to measure unit economics ruthlessly.

Now, the rules have shifted completely.
AI is the sharpest tool for that exact same habit, and it can be taught to everyone on your team.

I prove this AI shift through my actual work today.
To manage my personal brand, I built an automated 8-channel content distribution system.
One long video gets cut into smaller clips and distributes itself to YouTube, Reels, LinkedIn, and other platforms.
This entirely runs every day, and I operate it alone.
I do this while still leading four product teams at a MENA superapp.

Look at the Applied-AI Certification program that I built.
The efficiency principles behind it are identical to how I reduced costs at Tokopedia years ago.
The only difference is the leverage of the tools.
Execution that used to require a row of engineers now requires just one person who understands how to orchestrate complex AI solutions alone.

An ecosystem ready for the AI leap

Because people built our information highway years ago, our ecosystem is ready.
When the AI wave hit, tech workers had a solid foundation.
We did not start from zero.

Startup workers today have access to communities and local analysis.
Without that early tech literacy, adopting new technology would always be painfully slow.

As a professional today, you must realize where you stand.
You live in a mature ecosystem.
You have tools that give you massive power to execute.

Your job now is to use those tools to solve real business problems.
It is not just about showing off a clever prompt.
Just like how our ecosystem evolved, you must evolve into someone who focuses on real outcomes.

How you position yourself today

In the product world, we always ask one central question.
What is our added value for the users who pay for our service?

In your career, the question is exactly the same.
What is your added value for the company that pays your salary?

If you are still doing repetitive tasks manually, you are holding back your own potential.
You have to start thinking like an architect.
Figure out how to turn a week of data analysis into a two day task using AI.
Figure out how to keep your research solid while drastically dropping the energy you spend on it.

Our ecosystem has evolved rapidly.
The figures behind it proved that a consistent push for insight creates waves of impact years later.
You must build the habit of using AI today.
The efficiency you gain now will give you incredible leverage in the future.

Start looking for bottlenecks in your daily work.
Find the process that wastes the most time, then destroy it with the right tool.

If you need an environment to sharpen this instinct and apply AI practically to your career, come join my discussions at AI Circle.
We have real conversations and dissect use cases without the empty jargon.

And if your company needs help overhauling how your team works, cutting costs, and implementing AI without burning cash, I can help you directly on my corporate page.

We are already in a healthy ecosystem.
It is entirely up to you to choose the right tools to help yourself and your business accelerate.