Update README.md

README.md

@@ -10,6 +10,9 @@ app_file: app.py
 pinned: false
 license: mit
 short_description: Turn messy DMs into clean orders.
+tags:
+- track:backyard
+- achievement:offgrid
 ---
 
 # DM Order Desk
@@ -18,6 +21,16 @@ DM Order Desk helps tiny sellers turn messy customer messages into a clean order
 
 It is designed for home bakers, farmers market vendors, food truck operators, and small Instagram or WhatsApp sellers who take orders through direct messages instead of a full ecommerce system.
 
+This is an unofficial Build Small-inspired public demo. It follows the small-model constraints and uses a public Gradio Space, but it is not eligible for official prizes.
+
+## Demo and Social Post
+
+- App: https://huggingface.co/spaces/build-small-hackathon/dm-order-desk
+- Demo video: https://x.com/Mach_Narration/status/2070802638497853801
+- Social post: https://x.com/Mach_Narration/status/2070802638497853801
+
+The social post includes a short demo video showing the Space organizing messy DMs into a review board, prep list, and follow-up replies.
+
 ## What It Does
 
 Paste messy customer DMs into the app. The app extracts:
@@ -50,7 +63,6 @@ Chris: 12 cookies please, pickup at the farmers market. Paid already.
 
 DM Order Desk turns these messages into a structured order table, a prep list, and follow-up replies for missing details.
 
-
 ## Why Small Models Fit
 
 This is a narrow, practical workflow. The model does not need broad world knowledge or long-form reasoning. It only needs to extract structured order details from short messages.
@@ -83,4 +95,4 @@ DM Order Desk compresses those manual steps into one review screen. The seller s
 
 ## Limitations
 
-This is a prototype. It may still need human review for ambiguous messages, unusual products, or complex multi-message conversations. The goal is to reduce manual sorting work, not replace seller judgment.
+This is a prototype. It may still need human review for ambiguous messages, unusual products, or complex multi-message conversations. The goal is to reduce manual sorting work, not replace seller judgment.