@joy_collinsnosa Great analysis, Joy! 👏 You’re looking for evidence before jumping to a hiring freeze.
Let me throw in a twist.
Suppose most of the new hires went into operations, yet overtime still increased by 18%.
What’s the next piece of data you’d want to see before making a decision?
You’re the GM of a company.
📈 Revenue: +2%
📉 Operating profit: -12%
👥 Headcount: +12%
⏰ Overtime: +18%
Your CFO wants a hiring freeze. Sales wants more people. Operations wants to cut overtime.
You get ONE question before deciding.
What do you ask?
#Leadership #BusinessStrategy
Well, it’s official. Stillpower Labs is now a registered business! 🚀
The easy part: paperwork and a domain.
The hard part: building software that solves a real problem.
Starting with AI, business decision-making and a healthy dose of experimentation.
Day 1 of a new adventure.
#BuildInPublic
70 followers. 30 away from my first 100! 🚀
I’m building Stillpower Labs, experimenting with AI, learning to code and sharing the occasional tennis, guitar & sketching adventure.
If any of that sounds interesting, help me get to 100! 😄
Let’s connect, curious minds! 🤝
#BuildInPublic
The glamorous side of building a tech startup: registration paperwork and buying a domain.
That’s where Stillpower Labs is today.
Next comes the harder part: building something people actually want.
To the indie builders here: what was your first real milestone?
@NabhaniMehdi Thank You. I’m from a commercial leadership background and I deal with business problems like this all the time. So I tried to bring that to the table with this video. Yeah, first attempt and a little rough around the edges 😉
My first YouTube Short is live! 🎬
Sales up 2%. Profits down 12%. Why?
I built it with ChatGPT, Claude Code & Remotion—and narrated it using an ElevenLabs clone of my own voice. 🎙️
One creator, four tools. A lot of learning.
https://t.co/1RC9FW0XWn
@Chandan_blaster I was a dumb tech user before. Always looking to upgrade. But never utilised the full capacity. Ended up mindlessly scrolling. Until recently!
Because writing code was never the only bottleneck IMHO.
AI can accelerate implementation 10x, but understanding the problem, making good design decisions, testing reliability and building something people actually want haven’t accelerated at the same rate. That’s still with the human I believe.
Faster code ≠ better products.
Absolutely!
For the first Short, the goal was simply to get the whole production workflow working and ship something out the door.
For the next one, I’m planning to experiment with different opening hooks and study audience retention.
Still figuring out how to test them meaningfully on Shorts though.
Have you tried this yourself?
Best part of building in public? People ask questions you hadn’t thought of.
Shipped my first YouTube Short. Someone asked if I’d A/B tested the hook.
I hadn’t. I was just happy to get it out.
Now I know what to experiment with next.
What did V1 teach you?