MY POST DID 7M VIEWS OVERNIGHT, WOKE UP WITH 47 DMs AND $8,200 IN DEALS
Hotels. Realtors. Developers. Museum directors. All asking the same thing , can you do this for us?
So let me show you what they saw.
I rebuilt a $150,000 agency project with my phone.
8 minutes of recording. A free open-source pipeline I spent weeks building. Photoreal 3D that opens in any browser, on any device.
What agencies charge:
- $50k–$200k per project
- $80k camera rigs
- 5–8 specialists
- 6–12 weeks
What it cost me:
- My phone
- $0 in software
- One night per scan
It didn’t happen overnight.
Weeks of failed scans. Broken exports. Pipelines crashing at 3am. Tutorials already outdated by the time I found them.
I rebuilt the workflow from scratch until it just worked.
Now I deliver in one night what teams of 8 bill for 12 weeks.
The industries that don’t know they’re already dead:
- Architectural viz: $4B/year
- Real estate media: $2B/year
- Museum digitization: $1B/year
- Hotel 3D tours: $800M/year
~$8B about to collapse onto anyone with a phone.
500,000 people work in these industries right now.
In 18 months, most of them won’t.
The ones who survive are the ones learning this workflow today - while everyone else is still arguing whether it’s “good enough” yet.
It already is.
Next post: the exact pipeline I built, the deals I closed, and every mistake I made getting there.
🤯 IMPORTANT: someone open sourced a text-to-speech model that clones any voice in any language with zero tokenizer.
It's called VoxCPM2.
Every TTS system you've used runs text through a tokenizer first. That bottleneck kills multilingual performance. Accents get flattened. Emotion gets lost.
Most voice cloning tools require 30+ seconds of clean audio and still sound robotic in a second language.
VoxCPM2 skips the tokenizer entirely. It reads audio as raw signal. Clones across languages without retraining.
How to use it:
Pass your audio sample directly. No preprocessing. No phoneme alignment.
It handles multilingual output, creative voice design, and true-to-life cloning in one pipeline.
Just clone and generate.
Playing with map interactions.
Generated this UI concept with Nano Banana and brought it to life using Gemini Pro
Thinking about starting a series that explores aesthetic variations in data visualization UIs
More details ↓