The Curious Issue — Vol. I
For the
tech.
Documenting what happens when the wall between having an idea and building it disappears.
The collapsing wall between imagining software and making it exist, documented in public.
The wall between having an idea and building it just came down. Since then, I’ve been building for the tech. Literally: forthe.tech.
For years, people with ideas hit the exact same wall: they could see the product with complete clarity, but they couldn’t write the syntax to build it. They were stopped cold at the terminal.
Now they can build. It feels like magic, and we are fortunate to live through the collapse of that barrier.
It is also impossible to keep up with. Something “revolutionary” launches every morning; by dinner, it’s already irrelevant. An entire micro-industry gets wiped out by a Tuesday model checkpoint. Products built over five years become a forgotten checkbox in someone else’s release notes. Then comes the corporate cycle: panic layoffs, followed by quiet rehiring once the hallucinated code and astronomical AI bills arrive.
Watching from the sidelines isn’t enough. But being online twenty-four hours a day isn’t an answer either.
So I filter. Around a full-time job and family in Dubai, I follow what’s shipping. Then I talk it through with people who see further. Between them, I can sort what’s real from the noise.
And I don't just read about new tools; I test them directly. When one launches, I build something with it that solves genuine friction in real life. That is how I learn.
I’ve been building things with different tools for a while, so I started documenting them in one place. Not as an agency portfolio or a curated vanity deck, but as an open publishing ledger.
For the tech. For better or worse.
Sixteen documented builds · forthe.tech · Dubai, UAE
On AI tokens as currency, the thermodynamic debt of a prompt, and the moral requirement of building with intention.
AI tokens are the new currency.
And every token is an IOU on physical energy.
We speak about artificial intelligence as though it floats weightlessly in the cloud. It doesn’t. Silicon runs on high-voltage substations, cooling towers, and diverted river water. We are transacting directly in joules.
A frontier model returning a breezy “hello” consumes the watt-hours that could have kept an LED reading lamp burning in your room for minutes. Every generation is a physical withdrawal from the power grid. People will increasingly transact in tokens, and compute will serve as the reserve currency of the intelligent economy.
Which exposes an uncomfortable truth: people who lecture about ESG, sustainability goals, and energy conservation while aimlessly burning AI tokens are being hypocrites. Firing off millions of automated inference cycles to produce corporate sludge, bloated slide decks, and speculative noise is not innovation; it is digital pollution.
If every prompt incurs a thermodynamic debt, the only moral justification for using this much power is absolute intention: building software that solves genuine, tangible human friction.
- My wife is a pharmacist: so I spent energy building PharmaRab and Provia to help her and her colleagues conquer grueling licensing exams.
- My friends are physiotherapists: so I spent energy building PhysioArab and kinē to build clinical rehabilitation tools that therapists needed.
- Dubai’s finest cooking was hidden next door: so I built NxtDoorChef to connect neighbors directly to authentic home kitchens.
- I collect mental models: so I built Doomscholar to map frameworks that survive the hype cycles.
Tech isn’t the moat. What it changes in someone’s daily life is.
Nobody values how complex your build pipeline was. They only value whether it helped.
The line I'd never
say out loud.
I haven't moved in four hours. My spine has become a question mark. But the logic is pure.
Move to see. Sit to build. Repeat until the future arrives.
Selected pieces.
A commonplace book for the ideas that run the world. Doomscholar maps powerful ideas into a cross-linked latticework — onboard around what you care about, skim a layer at a time, follow the edges between concepts, and keep them with spaced-repetition reviews. Audio narration for every node. Built for people who collect mental models the way others collect bookmarks, and being readied for Google Play and the App Store.
- Built for
- Learning
- Year
- 2026
- Tags
- EdTechMental ModelsSpaced RepetitionAudio
Point to where it hurts on a real 3D body, not a cartoon. kinē lets you rotate a male or female anatomical model, pin pain to a single point with a 0–10 severity slider, then walks you through a seven-step assessment with red-flag screening and transparent pattern matching. What comes out is a three-phase plan — Calm, Load, Capacity — capped at fifteen minutes a day, with a voice-guided exercise player, easier/harder swaps based on how it feels, and daily check-ins. English and Arabic with full RTL. Next.js, React Three Fiber, offline-first.
- Built for
- Patients
- Year
- 2026
- Tags
- Healthcare3DPhysioBilingual
Say hello.
Best found on GitHub, LinkedIn, or by email. I answer slowly, but I answer.