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Ravi Yalamanchilileft a comment
Day 2 update! š Still climbing (#103 ā #90) thanks to this community. Most interesting insight from first 48 hours: Organic social sharing is outperforming the platform itself. Facebook + LinkedIn + Reddit > Product Hunt for traffic. The lesson: Build something people want to share. The platforms will follow. For everyone who tried it and gave feedback - thank you! š Especially shoutout to a...
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Ravi Yalamanchilileft a comment
Behind the scenes moment: Launched at 2:42 PM (rookie mistake - should have been midnight). Started at #197. Thought "well, that's that." Then your comments, questions, and feedback started rolling in. Now at #103 and climbing. This is why I love the builder community. You give honest feedback and real support. Thank you š What else should I share about the build?
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Ravi Yalamanchilileft a comment
Update (3 hours in): This is my first time on Product Hunt. Very Exciting... Climbed from #197 to #103! š The response has been incredible: - Reddit post getting great engagement - LinkedIn: 2,195 impressions organically - Most surprising: Facebook driving more traffic than Product Hunt itself The organic word-of-mouth is validating the problem we're solving. For those who've tried it - what...
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Ravi Yalamanchilileft a comment
For the makers/developers curious about the tech: š ļø Stack: - Claude Sonnet 4.6 - conversation AI (amazing at understanding nuanced shopping problems) - ElevenLabs - voice synthesis (gives Alex her personality) - Next.js + TypeScript - Supabase - auth + outcome tracking - SerpAPI - cross-store product search š” Hardest challenge: Getting actual product URLs instead of Google search result pages....
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Ravi Yalamanchilileft a comment
Update: 4 hours in! š š Stats so far: - 59 visitors from 5 countries (US, India, Pakistan, Sweden, Singapore) - 14% sign-up conversion rate - Most surprising: Facebook driving MORE traffic than Product Hunt! The organic word-of-mouth spread is incredible. People are sharing DealFriend with family/friends across continents. If you've tried it, drop your thoughts below - what worked? What didn't?...
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Ravi Yalamanchilileft a comment
Quick question for the community: What's the worst online purchase you've made because the product description was misleading? For me, it was that $89 chair that made my back pain WORSE. That's why I built DealFriend - to ask about YOUR problem before recommending anything. What would you want an AI shopping friend to help you with?
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Alex is your AI shopping friend who searches across Amazon, Walmart, Target, Sephora, and more.
Unlike other shopping tools:
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Asks about your problem before recommending
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Searches all stores (not locked to one)
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Has a face and voice (feels like a real friend)
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Follows up to see if it helped
Perfect for back pain, party planning, home decor, makeup matching, or any shopping problem.
Built with Claude API + ElevenLabs voice.
Try it: getdealfriend.com
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells
Ravi Yalamanchilileft a comment
Hey Product Hunt! š I built DealFriend after a frustrating experience: I spent $89 on an "ergonomic" chair from Amazon that made my back pain WORSE. The problem? Amazon showed me what THEY wanted to sell, not what I NEEDED. So I built Alex - your AI shopping friend who actually cares about solving your problem. š How it's different: 1ļøā£ Problem-first approach Alex asks: "Why does your back hurt?...
DealFriend ā Personal Shopping CompanionAI shopping agent that solves problems, not sells