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Share referral codes, earn coins, and redeem gift cards — built for students. Stackd is the smartest deals extension for students — powered by Claude AI. 🤖 WHAT MAKES STACKD DIFFERENT: Unlike Honey or RetailMeNot, Stackd is 100% built for students and on the student's side — not paid by brands. ✨ KEY FEATURES: 🎯 AI Picks for Every Site Open Stackd on any website and instantly see the most relevant referral codes — automatically selected by AI. 🧬 Deal DNA Every code comes with an AI explanation: why the deal exists, hidden catches, best time to use it, and how long it lasts. 🏫 University Personalization Enter your university and get a personalized dashboard of perks ONLY available to your school's students — deals most students never know about. 🤖 AI Code Hunter Stackd automatically discovers and adds new real coupon codes every 6 hours using AI — no manual work needed. 🔍 AI Smart Search Search for any deal and if nothing is found locally, our AI searches the internet in real time to find it for you. 🧹 Self-Cleaning Codes After copying a code, tell us if it worked. Codes with too many "No" votes are automatically removed. Verified codes get a ✅ badge. 🎁 Gift Cards with Coins Earn coins by sharing referral codes. Redeem coins for real gift cards from Amazon, Starbucks, Target and more. 💰 Student Benefits Dashboard Discover hundreds of student perks — software discounts, banking bonuses, travel deals, health apps — all in one place. 🏷️ Auto-Detect Deals Stackd automatically appears on websites where it can save you money — no need to open it manually. Built by a USC student, for students everywhere.
Sep 9, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.