Bryan Liu

Co-Founder & CEO of R0Y

[Bryan Liu @CheezyosFrfr]

YC App…

[Bryan Liu @CheezyosFrfr]

@delveroin Figma for investors, 140 mrr. https://t.co/hUnx2uw6eG

[Bryan Liu @CheezyosFrfr]

@boardyai No more manual financial research and model creation, Figma meets investing

[Bryan Liu @CheezyosFrfr]

@ionleu https://t.co/hUnx2uw6eG figma for investors

[Bryan Liu @CheezyosFrfr]

@anupamrjp figma for financial research, natural language prompts to live investing dashboards, models and strategies. Faster UI generation than perplexity, loveable, claude but… with trillions of structured proprietary data. https://t.co/hUnx2uw6eG

[Bryan Liu @CheezyosFrfr]

Hows the portfolio looking?

[Bryan Liu @CheezyosFrfr]

https://t.co/vfitgDDyy6 built this portfolio for me, how does it look. I don’t like to look at my stocks, just invest and leave it. Any recommendations?

(portfolio update coming soon)

[Bryan Liu @CheezyosFrfr]

https://t.co/vfitgDDyy6 built this portfolio for me, how does it look. I don’t like to look at my stocks, just invest and leave it. Any recommendations?

(portfolio update coming soon)

[Bryan Liu @CheezyosFrfr]

https://t.co/vfitgDDyy6 built this portfolio for me, how does it look. I don’t like to look at my stocks, just invest and leave it. Any recommendations?

(portfolio update coming soon)

[Bryan Liu @CheezyosFrfr]

@heyblake https://t.co/hUnx2uw6eG

Ai-native financial studio

[Bryan Liu @CheezyosFrfr]

Huge milestone for us! Thanks for everyone who’s been supporting us bridge the gap between creativity and investing

[Bryan Liu @CheezyosFrfr]

We just hit $120 MRR, on R0Y the AI-Native financial studio!!! After just a few days of rolling out our paid plans, with prior 400+ early beta users!!

Long way to go, but now the pressure is on and we will not fail to deliver.

https://t.co/vfitgDDyy6

[Bryan Liu @CheezyosFrfr]

We just hit $120 MRR, on R0Y the AI-Native financial studio!!! After just a few days of rolling out our paid plans, with prior 400+ early beta users!!

Long way to go, but now the pressure is on and we will not fail to deliver.

https://t.co/vfitgDDyy6

[Bryan Liu @CheezyosFrfr]

We just hit $120 MRR, on R0Y the AI-Native financial studio!!! After just a few days of rolling out our paid plans, with prior 400+ early beta users!!

Long way to go, but now the pressure is on and we will not fail to deliver.

https://t.co/vfitgDDyy6

[Bryan Liu @CheezyosFrfr]

Try out https://t.co/9i58ykK1qz now!! The worlds first ai financial studio, turn natural language prompts into fully functional dashboards. The trading view replacement

[Bryan Liu @CheezyosFrfr]

Try out https://t.co/9i58ykK1qz now!! The worlds first ai financial studio, turn natural language prompts into fully functional dashboards. The trading view replacement

[Bryan Liu @CheezyosFrfr]

Do you agree? Add when your down or add when your up?

Video reference: https://t.co/TzJTaE186W

[Bryan Liu @CheezyosFrfr]

If you ever wanted to build financial/ investing / quant models now you can

[Bryan Liu @CheezyosFrfr]

Been doing some more digging on some nice quant projects, and the barrier is no longer being able to code or not. https://t.co/jAj1ob2myR made it so you can build these models in 30 seconds and in faster tike than every competitor out there

[Bryan Liu @CheezyosFrfr]

Been doing some more digging on some nice quant projects, and the barrier is no longer being able to code or not. https://t.co/jAj1ob2myR made it so you can build these models in 30 seconds and in faster tike than every competitor out there

[Bryan Liu @CheezyosFrfr]

Been doing some more digging on some nice quant projects, and the barrier is no longer being able to code or not. https://t.co/jAj1ob2myR made it so you can build these models in 30 seconds and in faster tike than every competitor out there

[Bryan Liu @CheezyosFrfr]

@aethelflett @aniketks1 @AlfinCodes LLM’s get injected with more data, you can then train it to learn around your parameters. Just like how they can refuse to create nsfw

[Bryan Liu @CheezyosFrfr]

@MichelSchudel @aniketks1 @AlfinCodes explain 3 deeply buried security issues, within only a codebase, a llm couldn’t fix or wouldn’t be able to with a small prompt