diff --git a/qdrant-landing/content/blog/case-study-portfolio-mind.md b/qdrant-landing/content/blog/case-study-portfolio-mind.md
index b4acb7e86..19dc36059 100644
--- a/qdrant-landing/content/blog/case-study-portfolio-mind.md
+++ b/qdrant-landing/content/blog/case-study-portfolio-mind.md
@@ -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