Today, I came across an article on TechCrunch: The great computer science exodus (and where students are going instead).

It shows that UC campuses saw a drop in computer science enrollment for the first time since the dot-com crash (6% in 2025, 3% in 2024), but students are shifting to AI-focused programs.

After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.

We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.

1. Global problem: Dating apps fail for complex lives (illness, relocation, unfulfilled youth). A platform is needed for matching based on life path compatibility.

2. Daily routine: after every client meeting, I need to write a structured report for colleagues. Existing corporate tools (Microsoft 365) are inefficient and slow for this.

3. A startup founder loses focus and productivity juggling 5-7 tools for a single project. Existing all-in-one platforms don't provide the feel of a unified workspace.

4. An African entrepreneur cannot accept international payments on Shopify. PayPal blocks, Stripe is unavailable. There is no payment gateway that does not discriminate based on geography.

5. Micro-influencer cannot monetize a loyal audience: there is no safe and effective platform for deals with small brands and those willing to work with small influencers in India.

I used to think the hardest part of building a product was building the product.

Turns out, creating superfans is harder.

The real challenge is getting people to love your product:

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

If you use AI dev tools daily, you ve probably felt this:

You start a new session and immediately have to re-explain:

• what the project is

• what you already tried

• why certain decisions exist

• what not to repeat

Not because the AI is bad.
Because the workflow forgets.

First of all, I want to thank you for voting for us in yesterday's launch - you still can, the week is not over. HERE

Second thing, I summarised some things that I realised, reflected on, and maybe should have known sooner:

The greatest invention of our time the smartphone has also become one of the biggest consumers of our energy and attention.

Being focused is now an art.

I came to exactly the same conclusion that real startup ideas often come from simple and boring problems. From my own experience: I spent three years on a startup that was supposed to revolutionize online education, but in the end it had 0 users. Now I ve just started solving a simple problem for home appliance repair technicians and immediately got my first paying users on a very rough MVP.

Yesterday, I came across a job posting from a specific SF company that offered Yesterday I came across a job posting from a specific SF company that offered a salary of 250k 1M (including equity), but realistically, I don't think they have that money; they're just grinding to satisfy investors and succumb to too much hustle culture.

Requirement: be available on-site from 9 AM to 9 PM 6 days a week in the office (and I bet even Sunday would be dedicated to meeting some team members in "free time"). In addition, they were willing to hire those who would relocate to SF.

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list: