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daniel-azoulai
2025-07-31 12:26:56 -07:00
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@@ -5,7 +5,7 @@ short_description: "PortfolioMind leverages Qdrant to transform noisy crypto res
description: "Discover how PortfolioMind achieved significant reductions in latency and boosts in engagement by modeling real-time user intent with Qdrant."
preview_image: /blog/case-study-portfoliomind/case-study-spoonos-preview.jpg
social_preview_image: /blog/case-study-portfoliomind/case-study-spoonos-preview.jpg
date: 2025-07-29
date: 2025-07-31
author: "Daniel Azoulai"
featured: false
@@ -20,7 +20,7 @@ tags:
## **How PortfolioMind delivered real-time crypto intelligence with Qdrant**
The crypto world is an inherently noisy and volatile place. Markets shift quickly, narratives change overnight, and wallet activities conceal subtle yet critical patterns. For PortfolioMind [(built using the SpoonOS framework)](https://spoonai.io/), a Web3-native AI research copilot, the challenge was not only finding just finding relevant information, but also surfacing it in real-time.
The crypto world is an inherently noisy and volatile place. Markets shift quickly, narratives change overnight, and wallet activities conceal subtle yet critical patterns. For PortfolioMind, Web3-native AI research copilot built using the [SpoonOS framework](https://spoonai.io/), the challenge was not only finding just finding relevant information, but also surfacing it in real-time.
### Challenge: Moving beyond static insights