Skip to main contentThis 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.
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Early repeat usage = proof of value retention. The cycle of “returning users” validates that the product fits into existing habits not just curiosity clicks.
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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
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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.
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Interactive Competition:
Users can compare, publish, and refine their strategies in real-time.
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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” href=”#” cta=“coming soon” />
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
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By embedding ourselves in the finance education ecosystem, we aim to shape Labh Labs into both a learning tool and a competitive playground.
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🛠️ Next Steps
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🚀 Finalize Labh Labs MVP:
Launch live leaderboard, causal-enhanced tuning, and strategy comparison.
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📈 Run social + community experiments:
Broaden creator participation and generate user-led showcases.
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💬 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. 
