> ## Documentation Index
> Fetch the complete documentation index at: https://blog.openkuber.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Week 3 — PMF, Labh Labs, CFA community

> Week 3 progress update covering early PMF validation, the Labh Labs campaign, and upcoming CFA community engagements.

This week marked a pivotal moment for us we started seeing **repeat usage** and **strong PMF signals**, proving that our product is solving a recurring pain in stock research. Building on that momentum, we expanded **Labh Labs**, a campaign that’s rapidly evolving into a **core product direction**.

## 🔁 User Retention & PMF Signal

We observed **repeat users** actively returning to use the plugin for their daily stock research.

Their feedback highlighted a key outcome **our product reduces friction in research and decision-making.**

* **Outcome:** Strong early signal of **Product-Market Fit (PMF)**.
* **Learning:** Users find enough recurring value to make it part of their ongoing workflow.

<Note>
  Early repeat usage = proof of value retention. The cycle of “returning users” validates that the product fits into existing habits not just curiosity clicks.
</Note>

## 🎯 Goal: Increase Footfalls

With PMF signals becoming clearer, our next goal is to **increase footfalls** attract more engaged users who can benefit from causal insights in stock research.

To achieve this, we designed a marketing initiative that doubles as a **growth experiment**  **Labh Labs**.

## ⚔️ Labh Labs From Campaign to Product Evolution

**Labh Labs** began as a creative campaign inspired by **Alpha Arena**, but it’s quickly becoming much more — a **live experimental arena** for strategy testing using **causal inference**.

### What makes Labh Labs unique

* **Causal AI at the Core:**

  Our in-house engine leverages causal inference to compete against global LLMs like **Qwen, DeepSeek, and Grok** on live market data.
* **Interactive Competition:**

  Users can **compare, publish, and refine** their strategies in real-time.
* **Engagement Driver:**

  Acts as a **social arena** for collaborative discovery, performance testing, and showcasing strategies.

### 🌌 Future Direction

We’re evolving Labh Labs into a **“warzone”** for strategy battles

a live leaderboard where traders and creators can:

* Test ideas on real data
* Compete for top rankings
* Use causal AI for adaptive tuning and performance optimization

<Card title="Labh Labs - Causal Arena" icon="activity" color="#7854cd" cta="coming soon" />

## 🧠 Community & Expansion Initiatives

We’ve scheduled **two CFA meetups** to engage with finance students and professionals bridging product development with real-world research practices.

### Purpose:

* Understand how users approach stock research and strategy design
* Integrate **Labh Labs** as an experimental learning platform
* Build credibility and awareness among **CFA and retail investing** communities

<Note>
  By embedding ourselves in the finance education ecosystem, we aim to shape Labh Labs into both a **learning tool** and a **competitive playground**.
</Note>

## 🛠️ Next Steps

* 🚀 **Finalize Labh Labs MVP:**

  Launch live leaderboard, causal-enhanced tuning, and strategy comparison.
* 📈 **Run social + community experiments:**

  Broaden creator participation and generate user-led showcases.
* 💬 **Integrate CFA insights:**

  Use learnings from meetups to refine product usability and feature depth.

## 💡 Takeaway

Week-3 confirmed we’re building something users **return to** and now, we’re channeling that momentum into **community-led growth** and **competitive learning** through **Labh Labs**.