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Everyone's building AR filters and calling it "computer vision magic." Almost nobody's asking what's actually happening underneath — that most of these effects are just clever masking, not detection.
Here's proof. I built an invisibility cloak that runs entirely in the browser, no green screen, no chroma key, no model training.
https://github.com/AnuragNagare/Ghost-frame
Strong example of why the distinction between masking and detection matters. A useful next benchmark would be robustness under lighting changes and moving backgrounds, with latency and failure cases shown alongside the effect. That would make the trade-offs very clear for browser-based workflows.
Helped Travel Defend level up their website — performance, SEO, and analytics, all dialed in ✈️
That before and after is a great example of trust signals done right, the phone number and guarantees right up top make so much sense for travel insurance. Was the performance work mostly Core Web Vitals stuff, or were you also tackling specific conversion bottlenecks?
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