Bryce Wang

Founder of StatsPai
Building — AI research co-author
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[Bryce Wang @bryceWCoPaperAI]

After months of building 😆😆, I’m excited to share https://t.co/sqYBSThFu1 —
an AI research co-author that works with you, not instead of you. 😅😅
Built by https://t.co/piXlMzdVX8, and originating from research and applied work with the Stanford REAP team,
CoPaper helps turn data, empirical analysis, and ideas into papers, together.

We’re opening a private beta (invite-only).
👉 https://t.co/QgCeLvofE2 🤖🤖
If you’re interested, feel free to DM me. 😀😀

[Bryce Wang @bryceWCoPaperAI]

Move fast. Break thru.

[StatsPai Inc. @StatsPai]

StatsPAI 1.6.0: 250,000 lines of code, 925 functions

I originally planned to release version 1.0.0, but ended up writing another 30,000 lines overnight and jumped straight to 1.6. This is simply the pace of the AI era—tools like this are being rapidly brought into existence.

[Bryce Wang @bryceWCoPaperAI]

This is exactly the kind of tooling we need.
Turning plotting from a manual craft into a reproducible system.
StatsPai is quietly building the “Stata → Python” bridge.

#Python #Stata #Econometirc #Econ #Economics #ScocialScience

[StatsPai Inc. @StatsPai]

Finally, a Stata Graph Editor clone for matplotlib.
29 themes, auto-generates Python code, one line to use.
pip install statspai
Open source. Your reproducible workflow just got a lot smoother.

[StatsPai Inc. @StatsPai]

Introducing StatsPAI — an open-source econometrics toolkit for the AI agent era.

150+ functions. One unified API. From OLS to causal forests.

pip install statspai

https://t.co/LGZ72gsY3B

[Bryce Wang @bryceWCoPaperAI]

Rebuilding the Python Econometrics Ecosystem in the AI era!🫡

[StatsPai Inc. @StatsPai]

Introducing StatsPAI (Stanford REAP & https://t.co/zv6oNjD5yJ): our vision is to build the unified Python toolkit for causal inference & econometrics.
One import, every method: DID, synthetic control, IV, RDD, matching, and more.

pip install statspai

💻 https://t.co/j7cJL7J0Uy

[StatsPai Inc. @StatsPai]

🔬 We open-sourced 23,000+ agent skills for empirical research across 8 social science disciplines.

Skills encode full research methodology — so AI agents know what a complete DID/IV/RDD analysis looks like, not just individual steps.

https://t.co/KjcV0IOzPk

[StatsPai Inc. @StatsPai]

Most researchers spend weeks coding Causal Forest, DML, or Synthetic DID from scratch.

https://t.co/zv6oNjD5yJ now supports 6 frontier ML × Causal Inference methods.
Pick your method → auto-configure → get executable code + publication-ready paper.

[StatsPai Inc. @StatsPai]

Every empirical paper has the same DNA:

P1 Introduction — why it matters
P2 Data & Methods — how you test it
P3 Results — what you found
P4 Conclusion — what it means
https://t.co/zv6oNjD5yJ generates all 4 parts from your dataset automatically. Try free. @CoPaper.AI

[Bryce Wang @bryceWCoPaperAI]

Check out my latest article: From raw data to a full empirical paper draft — regressions, tables, figures, and structured writing — in one workflow. I built an AI co-pilot that do https://t.co/CeCpYdxbMH via @LinkedIn

[Bryce Wang @bryceWCoPaperAI]

🚀 https://t.co/T456TQsGMv: We’re building an AI-powered research & analytics startup and hiring interns across product, full-stack, marketing, UX, stats tooling & ops!
📍 Work directly with the team, grow fast, and accelerate the empirical research.
https://t.co/F3o8SYKHq6

[Ivan Zhao @ivanhzhao]

https://t.co/fxHYR6S29D

[Bryce Wang @bryceWCoPaperAI]

CoPaper is the first expression of that idea:
an AI research co-author, not a paper writer —
designed to support analysis, reasoning, and iteration from data to paper. 🧐💪

[Bryce Wang @bryceWCoPaperAI]

After months of building 😆😆, I’m excited to share https://t.co/sqYBSThFu1 —
an AI research co-author that works with you, not instead of you. 😅😅
Built by https://t.co/piXlMzdVX8, and originating from research and applied work with the Stanford REAP team,
CoPaper helps turn data, empirical analysis, and ideas into papers, together.

We’re opening a private beta (invite-only).
👉 https://t.co/QgCeLvofE2 🤖🤖
If you’re interested, feel free to DM me. 😀😀

[Bryce Wang @bryceWCoPaperAI]

Statspai was started to turn those research practices into systems —
making empirical analysis and paper-building more structured and reproducible,
while keeping researchers firmly in the loop. 😐

[Bryce Wang @bryceWCoPaperAI]

LangSmith Agent Builder: describe the agent you want in plain English, get a Deep Agents worker that reads emails, Slack, calendars—and acts on them automatically.
No triggers needed to wait around. New emails or Slack messages wake it up.

https://t.co/NMCH8IswEH

[arctotherium @arctotherium42]

Here's how Claude Sonnet 4.5 trades off terminal illness sufferers across countries. Nigerians are worth 27 times as much as Germans, and as with GPT-4o there's an Africa > South Asia > other > Europe/US rank-order.

[Thariq @trq212]

Using Skills with the Claude Agent SDK

How do you use skills to build agents? Here's an example demo I've built using one of our premade skills to make an excel demo agent.

[Bryce Wang @bryceWCoPaperAI]

@yikesawjeez are you muted? cant hear you

[Bryce Wang @bryceWCoPaperAI]

@Max939566737067 @iScienceLuvr Thanks Max