This product was not featured by Product Hunt yet.
It will not yet shown by default on their landing page.

Product Thumbnail

DealFriend — Personal Shopping Companion

AI shopping agent that solves problems, not sells

Artificial Intelligence
E-Commerce
Shopping

Hunted byRavi YalamanchiliRavi Yalamanchili

Alex is your AI shopping friend who searches across Amazon, Walmart, Target, Sephora, and more. Unlike other shopping tools: ✅ Asks about your problem before recommending ✅ Searches all stores (not locked to one) ✅ Has a face and voice (feels like a real friend) ✅ 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

Top comment

Hey Product Hunt! 👋 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. 🔍 How it's different: 1️⃣ Problem-first approach Alex asks: "Why does your back hurt? How long do you sit? What's your budget?" THEN recommends products. 2️⃣ Cross-store search Searches Amazon, Walmart, Target, Sephora, Home Depot, and more. Not locked to one store's biased results. 3️⃣ Human personality Alex has a photorealistic face and ElevenLabs voice. Feels like talking to a real shopping friend, not a chatbot. 4️⃣ Outcome tracking (the moat) Alex follows up: "Did it help?" This builds a dataset NO competitor has - which products actually solve which problems. 💬 Early feedback: "Your interface is much better than ShopStyle. None of my shopping apps have this, not even Zara or H&M." — Harshita (former personal shopper) "Quickly recommended the right product and link" — Giri Word of mouth is organically spreading across family groups in India, UAE, and the US. 🛠️ Tech stack: - Claude Sonnet 4.6 (conversation + problem diagnosis) - ElevenLabs (voice) - Next.js + TypeScript - Supabase (auth + outcome tracking) - SerpAPI (cross-store product search) 🎯 Try it for: - Back pain from sitting - Planning birthday parties - Redecorating your home - Finding makeup that matches your skin - Any shopping problem you're solving I'm here all day to answer questions! What problem should Alex help you solve? 🛍️ — P.S. The shopping bag icon you see when images fail to load? That's actually a bug I'm fixing today. Real product photos coming soon! 😅

Comment highlights

Day 2 update! 🎉

Still climbing (#103 → #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! 🙏

Especially shoutout to a user who caught the product availability bug. Fixing this week.

What else should I improve?

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 🙏 What else should I share about the build?

Update (3 hours in):

This is my first time on Product Hunt. Very Exciting...

Climbed from #197 to #103! 🎉

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 worked? What didn't? Still here answering questions! 🛍️

For the makers/developers curious about the tech:

🛠️ 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

💡 Hardest challenge:

Getting actual product URLs instead of Google search result pages.

Took 2 days of debugging to map SerpAPI's response fields correctly.

🔧 Next features:

- Virtual try-on (using Fashn.ai)

- React Native mobile app

- Browser extension

Any questions about the build? Happy to dive into details!

Update: 4 hours in! 🎉 📊 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? Still here answering questions all day! 🛍️

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?

About DealFriend — Personal Shopping Companion on Product Hunt

AI shopping agent that solves problems, not sells

DealFriend — Personal Shopping Companion was submitted on Product Hunt and earned 4 upvotes and 7 comments, placing #92 on the daily leaderboard. Alex is your AI shopping friend who searches across Amazon, Walmart, Target, Sephora, and more. Unlike other shopping tools: ✅ Asks about your problem before recommending ✅ Searches all stores (not locked to one) ✅ Has a face and voice (feels like a real friend) ✅ 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 — Personal Shopping Companion was featured in Artificial Intelligence (466.2k followers), E-Commerce (41.4k followers) and Shopping (1.5k followers) on Product Hunt. Together, these topics include over 104k products, making this a competitive space to launch in.

Who hunted DealFriend — Personal Shopping Companion?

DealFriend — Personal Shopping Companion was hunted by Ravi Yalamanchili. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how DealFriend — Personal Shopping Companion stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.