RayXC / San Francisco

The startup company of Raymond Xu.

I started RayXC in January 2026 as my startup company entity—the name that has tracked every pivot since. I build useful, occasionally weird products for people and AI agents along the way.

Raymond Xu

Raymond XuFounder / Builder

About

Turning ideas into working software

The build log

The work,
over time.

Three years of building, from real-estate software to AI agents, infrastructure, and visual coding. The chapters change; the building keeps going.

Loading the build log…

Previously / 2018–2026

Before RayXC.

The companies, products, and research I worked on before starting RayXC in January 2026.

Experience on LinkedIn ↗
  1. –

    Modern Realty

    Founder at Modern Realty · YC S24

    Built an AI home-buying agent handling texts, email, tour scheduling, and property research. Scaled to over $500k in total real-estate commission revenue. The company is now Mage Legal ↗.

  2. –

    Entori.io

    Founder

    Built an automatic summarizer for real-estate disclosure documents.

  3. –

    Vana

    Machine Learning Engineer

    Prototyped generative AI products with Stable Diffusion and optimized LoRA training for personalized models.

  4. –

    Google

    Machine Learning Software Engineer

    Google Assistant –

    Improved voice-command understanding on the NLP retrieval team through BERT embeddings and ML experiment pipelines.

    Document AI –

    Built entity-extraction models and ML infrastructure for forms and invoices, including spatial features, fine-tuning, and tokenization experiments.

  5. –

    Humanity Forward

    Team Lead & Acting Program Manager · Part-time

    Team Lead –

    Coordinated outreach to small businesses for petitions to local mayors.

    Acting Program Manager –

    Coordinated Humanity CALLS volunteers for voter outreach.

  6. –

    Denread

    Founder

    Built a web-research tool that surfaced potential sources and related content when you clicked a paragraph.

  7. –

    Antler

    Founder in Residence

    Developed an NLP product for text recommendations on websites during the founder residency in Brooklyn.

  8. –

    Johns Hopkins Applied Physics Laboratory

    Machine Learning Engineer

    Developed infrared detection, segmentation, and orientation models for small-drone navigation. Led low-light underwater imaging and depth research, and built annotation and data-augmentation tools.

Selected repositories

Open source.

All repositories ↗
“Simplicity is an advantage but sadly complexity sells better.”