Lee Jay

Developers weren't meant to share secrets through email, Slack, or cloud storage.

Yet we've all emailed ourselves a .env file, pasted API keys into chat, or uploaded sensitive files to services that keep copies indefinitely.

We built BurnLink CLI to provide a better way.

Hey everyone,

I've been building a labelling tool, a desktop app (PyQt6) for capturing and annotating gesture datasets think of it as a companion tool for gesture recognition pipelines like Gesto, making it easier to collect, label, and export hand landmark data for training models.

I'm at a fork in the road on direction, and I'd love your input:

1. Open source it release it freely (currently GPL-3.0), let the community use it, contribute, and shape where it goes.

There's a well-documented phenomenon in consumer and user research that most practitioners know intuitively but rarely name directly: people don't report their experience accurately.

Not because they're dishonest. Because self-reporting is hard. In the moment of an interview, participants are performing a version of themselves. They round off hesitation. They describe their behaviour more charitably than it actually was. They say "yes, I'd probably use this" when what they felt was closer to "maybe, under the right circumstances, if the price were different." The social pressure of being in a conversation, even with an AI, shapes what gets said.

This is what we call the Say-Do Gap. The distance between what someone tells you and what they actually feel or do.

It shows up everywhere. In concept tests where participants say they love a product they'd never buy. In usability sessions where someone says "this makes sense" while visibly struggling. In brand perception studies where stated attitudes don't match purchasing behaviour.