Zoa Research YC 申请
Zoa Research 在 Summer 2024 批次的 Y Combinator 中作为一家 B2B 公司进行过。以下是：公司做什么、谁创立了它，以及其 YC 申请，按照真实 YC 表格逐题重建。
- YC 批次
- Summer 2024
- 行业
- B2B
- 团队规模
- 5
- 状态
- Active
- 已发布
- 2024
创始人
Greg VolynskyFounder
Sam DamashekFounder
Zoa Research 做什么
Historically, quantitative models are domain specific. Brilliant people spend their best years testing features, tuning hyperparameters, and iterating architectures within a narrow domain. But scale is the panacea: large models will find patterns people, and specialized models, could not. Forecasting generalizes. Zoa trains cross-domain event forecasting engines. *Automating Iteration* LLMs - embedded in multi-agent optimization loops and evaluated against fixed policies - can automate the build-test-improve modeling cycle. Think AlphaEvolve for forecasting problems. *Sample-Efficient General Models* Today’s forecasting models are narrowly crafted with deep human priors. But larger models will outperform state-of-the-art specialized models. Unlike existing event models, our models leverage data from across contexts and rely less on human intuition. And compared to LLMs, our models are built with more inductive priors and rely more heavily on inference-time compute - improving sample efficiency. *Why It Matters* In the real economy, our models could be useful for forecasting supply chain volatility, energy supply and demand, even earthquake risk. Science is, Ian Hacking writes, the taming of chance. It is the process of iteratively updating priors (something like: identify uncertainty, conceive experiment to reduce uncertainty, execute, update). If science is uncertainty-reduction, forecasting is a critical measure of progress. Better forecasting improves our ability to select interesting experiments (roughly those with greatest expected uncertainty reduction) and update priors. Our models will be used by labs and academics in data-heavy domains. Sam's ex-girlfriend introduced him to Greg back at Carnegie Mellon in 2017, and while that relationship didn't last, their friendship has. After college, Greg went to Harvard Law School, while Sam worked for three years at Jane Street on their Options desk, building & leading a satellite dev team.
Zoa Research 的 YC 申请，重建版
Y Combinator 申请
Zoa Research，Summer 2024 期。来自公开数据的真实申请问题解答。
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Zoa Research
Powerful quantitative forecasting models
We build generalizable event forecasting models that train across diverse domains rather than specializing narrowly. Our models automate the build-test-improve cycle by embedding LLMs in multi-agent optimization loops. This extends forecasting beyond traditional domain-specific models, making predictions about supply chains, energy, and risk using data integration and sample-efficient inference.
We live in New York, NY, and the company is based here now and would remain so after YC, at least initially.
Most of our experience and network is in New York. We don't see a pressing reason to relocate; YC is remote-friendly and we can engage with the network while continuing to build where we are.
21 更多回答 在完整申请中
Founders, Progress, Idea, Equity, Curious, Batch Preference 包含在完整版中。创建免费账户即可在 YC Insights 中打开，紧邻每个其他 YC 批次。
常见问题解答
这是 Zoa Research 的真实 YC 申请吗？
不是。Y Combinator 对提交的申请保密。这是重建版：使用 Zoa Research 的公开数据（发布笔记、创始人背景、产品描述）回答真实的 YC 表格问题。它展示了像 Zoa Research 这样的公司会如何向 YC 自我介绍，而不是他们提交的文本。
Zoa Research 是哪个 YC 批次的？
Zoa Research 是 Y Combinator Summer 2024 批次的成员。
谁创立了 Zoa Research？
Zoa Research 由 Greg Volynsky, Sam Damashek 创立。
Zoa Research 做什么？
Powerful quantitative forecasting models
如何阅读完整的重建申请？
创建免费的 Round Funded 账户。YC Insights 中包含 Zoa Research 的完整 26 个问题的版本，以及其他所有 YC 批次的公司信息。
更多 YC 初创公司，例如 Zoa Research
