At some point in life, you will realize that super-successful people aren't extraordinary. They are the ones who did the things others refused to do - all the 'boring' stuff, again and again, over a long period of time.
Most people think users choose products based on features or price. In reality, support decides who stays.
A cheaper tool becomes expensive fast when every issue turns into a ticket nightmare. Meanwhile, teams keep paying more for products that solve problems and support them when it matters.
Support is not a cost. It is part of the product experience. Fast replies build trust. Clear answers reduce churn. Companies that treat support as a growth lever win.
Most people think users choose products based on features or price. In reality, support decides who stays.
A cheaper tool becomes expensive fast when every issue turns into a ticket nightmare. Meanwhile, teams keep paying more for products that solve problems and support them when it matters.
Support is not a cost. It is part of the product experience. Fast replies build trust. Clear answers reduce churn. Companies that treat support as a growth lever win.
I'm worried. AI content went from 5% in 2020 to 48% in May 2025. In 2026, it's expected to be 90%.
Why is this scary?
It creates a death loop for the AI models. AI needs raw, human-generated data to train and improve its quality. But when AI begins to train on AI-generated data; the model starts to fail.
AI in customer support is booming - but I m curious, what are the biggest pain points you ve seen with the solutions you ve already tried? and what were those solutions?
Do you spend 3 hours trying to find a clever .com before writing a single line of code? Or do you ship the MVP and slap on whatever domain wasn t taken at the time?
Do you spend 3 hours trying to find a clever .com before writing a single line of code? Or do you ship the MVP and slap on whatever domain wasn t taken at the time?
During COVID-19 times, when most of us were locked in our homes; I built several products. Most of them were tiny products that I could build in 2 weeks.
These were simple web apps; for example a web-app to quickly send a thank you or appreciation to anyone, without them requiring to download any app.
I know a lot of fellow builders who take months to build a product that has not been tested in the market. Then there are others who build the product in days or weeks, test it in the markets and decide whether to continue to build it or abandon it.
For me, I was certain that my product is validated and needed in the market. It took me about 4 months to build the MVP.
I've worked as the Head of Growth for a product company before launching my own startup. I used to spend considerable amount of time every day researching for ideas and hacks that'd help our product grow quickly.
I wish to mention two hacks that gave us the best ROI:
I often see the media sharing articles about layoffs due to AI, how junior programmer positions are less in demand, how there is also a decreased interest in copywriters and graphic designers, etc.
About 2 weeks ago, Teammates launched a tool (AI HR-ist), and right now I came across a post from a local marketer who shared interesting data about Ask AI (an internal AI/chatbot system), which today handles almost 94% of all routine HR requests, such as:
vacation requests
onboarding new employees
payroll information and attendance records
benefit selection and answers to basic employment questions
Results of AI implementation at IBM
94% of the HR agenda is automated
Payroll, vacation, administration even terminations have been automated
$3.5 billion saved
40% drop in HR costs
IBM also claims that employees are happier. The HR department s internal NPS score increased from -35 to +74 after the implementation of AskHR (source: HR Asia). 6% of questions are still directed at people AI has not yet completely replaced complex or emotionally sensitive situations.
Building and launching products, testing them in real markets and building a business are like mini-MBAs. It teaches you a lot of things about human behavior, finance, marketing, sales, entrepreneurship, management and more.
We become wiser; and wish someone had given us the right advice at the right time.
I ve seen a lot of makers (myself included) start building with one idea, then pivot completely after talking to users.
I launched Waivify a simple digital waiver tool because I noticed yoga instructors and personal trainers still using paper or clunky PDFs for liability waivers. It started as a weekend build. Now it s used by solo business owners to simplify their client onboarding.
But along the way, I realized I wasn t just solving waivers I was helping service pros feel more legit and reduce admin anxiety.
