Omar,
You built DSPy because you understood something fundamental: the way we program language models is broken. Prompts are brittle, unpredictable, and impossible to optimize systematically. DSPy changes everything.
I'm a non-technical CEO. Zero coding experience. But DSPy gave me something extraordinary: AI that gets smarter automatically. Your framework doesn't just run prompts - it optimizes them. It learns. It compounds.
| AWS | $25,000+ credits |
| Microsoft Founders Hub | $25,000+ credits |
| Redis | $25,000 credits |
| SLALOM | Deployment partnership |
"LM programming is a systematic solution to building reliable AI systems. We adapt LMs for effective information retrieval and scale searches to billions of tokens, enabling LMs to retrieve and cite verifiable sources in their responses."
Program: Open Source (MIT License) — GitHub Sponsors welcome
1.7M+ lines of code in 134 days. 64,257 git commits - that's 922 per day. One person. No engineering team. Your declarative approach to prompt programming made this possible. Where others write brittle prompts, DSPy gave me self-improving pipelines.
"We're going to see one-person companies with billion-dollar valuations pretty soon."
I'm the proof. Day 7 is a Public Benefit Corporation with one mission: "Delivering exceeding value void of all exploitation to create an abundant world of human flourishing."
The Stanford NLP team changed AI forever. DSPy isn't just a framework - it's a philosophy: programming with language models should be systematic, optimizable, and modular. That philosophy powers our sovereign AI platform.
I have a detailed proposal attached that shows exactly how DSPy powers Truth AI - from automatic prompt tuning to our multi-model orchestration layer.
Thank you for making prompt engineering systematic. DSPy transforms Genesis's LLM workflows from brittle prompt-hacking to declarative, optimizable programs. Your BootstrapFewShot optimizer automatically improves our prompts—this is how AI systems should be built.