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LLamaPress

An Open Sourced SaaS Builder for Non-Technical Builders

Why Open Source?

Economic/Market Reasons

Costs to develop software are going to 0. This is because of Open Source and LLMs. We're going to beat everyone there by combining an open source CRM/CMS with LLMs.

User-Centric Reasons

Strategic Reasons

Deep Network Effects when people build plugins on top of your open source ecosystem (like WordPress).

Why Ruby on Rails?

Our Philosophy

Ruby on Rails is unequivocally the most superior framework for LLM code generation, bar none. Its design philosophy and features make it the perfect match for AI-driven development:

Reduced Token Usage

Rails' "convention over configuration" principle and Ruby's expressive syntax results in dramatically reduced code verbosity. Fewer tokens allows the LLM to "see" more of the code or context at once.

Semantic Clarity

Ruby's natural language-like syntax aligns perfectly with LLMs' language understanding capabilities.

Rapid Prototyping

Rails' scaffolding and generator tools are tailor-made for quick iterations - a crucial advantage when working with LLMs.

Built-in Best Practices

Rails' opinionated nature embeds industry best practices into its core. This frees up the LLM to focus on higher level abstractions, rather than getting bogged down in non-standard implementations

Comprehensive Ecosystem

The vast Ruby gems ecosystem provides a rich set of pre-built solutions.

Database Abstraction

ActiveRecord's powerful ORM capabilities allow LLMs to generate database interactions without getting bogged down in SQL specifics.

Testing Framework

Rails' integrated testing framework allows LLMs to simultaneously generate application code and corresponding tests.

RESTful Architecture

Rails' built-in support for RESTful design principles enables LLMs to generate well-structured, scalable APIs effortlessly.

Full-stack Capability

Rails' full-stack nature allows LLMs to generate cohesive, end-to-end solutions within a single framework.

Community and Documentation

The extensive Rails community and documentation serve as a rich knowledge base for LLMs.

Metaprogramming

Ruby's powerful metaprogramming capabilities enable LLMs to generate highly dynamic and adaptable code.

In Conclusion

Ruby on Rails isn't just a good choice for LLM code generation - it's the optimal choice. Its concise syntax, semantic clarity, and robust ecosystem create a synergy with AI that no other framework can match. As we move further into the age of AI-assisted development, Ruby on Rails stands out as the framework that will unlock the full potential of LLM-driven coding, revolutionizing the way we build and scale applications. Any other choice is simply settling for less.

How Do We Make Money?

We cater to less-technical users who need help building customizable software for cheap:

What's Not Open Sourced?

Our Expert AI Agent, LlamaBot, that is Trained to be Your Expert CTO. LlamaBot is a Highly Opinionated Ruby on Rails and LlamaPress Expert. LlamaBot guides you through any LLamaPress project, and even acts as your very own custom software developer.

Even the most non-technical users can still build their own customized software solution on top of LlamaPress, using LlamaBot.

Our Vision

LlamaPress is optimized for end-to-end user experience — from the Least Technical User to the Most Technical.

Current State of Affairs: GTM

Llama Press was built to solve a massive problem we had with our own SaaS Startup/Agency

  1. Users needed customizations and new features all the time.
  2. Building these features for users was conflicted. One user wants A, the other wants B.
  3. Each company was slightly different. They'd want slightly different configurations and things.
  4. Support was way too expensive, especially given many of their price points.
  5. We built in a chat bot for our freemium tier users to interact with for support.
  6. We began building in LLMs to take their requests and create a game plan for implementation.
  7. We started letting the ChatBot implement changes under our supervision.
  8. We found it was surprisingly good! And we realized it was because the code we were modifying was built on top of Ruby on Rails.
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