
KREV AI
An AI team that runs your ecommerce brand
557 followers
An AI team that runs your ecommerce brand
557 followers
KREV is a team of 7 AI specialists for ecommerce brands. They learn your brand like new hires, then run the store with you.
This is the 2nd launch from KREV AI. View more

KREV AI
Launching today
KREV 2.0 is an AI team for your ecommerce brand. Scout tracks 10M+ competitor ads, Luna makes content that looks real, Kai buys your media, Chloe posts what's trending, Rue sends your emails, Toshi edits your store and Max gets you found.








Launch Team / Built With

CloudflareStill paying to deploy your apps? Try Cloudflare Workers for free
Promoted




Hey Product Hunt 👋, I'm Modi, CTO of KREV. KREV 2.0 is a team of AI agents built only for ecommerce brands
📌 The problem
Running an online store takes far more than a good product. Someone has to research the market, make the creative, run and watch the ads, post every week, send the emails, update the store and get it found on Google. For most brands that someone is the founder, and general-purpose AI tools aren't built for any of it. They give you a draft and leave the rest to you.
With KREV 1.0 we solved the creative. KREV 2.0 takes on the rest.
👥 The team
Scout. Tracks your competitors' ads, offers, messaging and emails, and turns what's working into your next brief.
Luna. Product photos, static ads and UGC-style videos that look real, made on a pipeline built for realism.
Kai. Launches and runs your campaigns on Meta, Google and TikTok, and moves budget to what's selling.
Chloe. Spots what's trending in your category and turns it into a calendar of posts, written and scheduled.
Rue. Runs all your email inside KREV on your own domain, from cart recovery flows to campaigns.
Toshi. Keeps your store converting, with new pages and product page and funnel improvements every week, live the day you ask.
Max. Gets your products ranking on Google and recommended by ChatGPT, Perplexity and Google's AI.
💡 What makes it different
Every decision is backed by data. General AI tools guess. KREV's team works from two sources: the market, with 10M+ ads from 25,000+ brands tracked every day, and your own business, with live numbers from your store, ad accounts, socials and email.
⚡ Key features
Growth actions. Every week KREV reads your numbers and lists the moves that will grow sales next, with the data behind each one. One tap hands it to the right helper.
Ad library. 10M+ ads from 25,000+ brands, searchable by brand, category, hook and format, updated every day.
Brand memory. Your products, voice, past creative and feedback, shared by all seven helpers, so nothing has to be explained twice.
One ask, whole team. Say what you need once. The helpers split the work and hand off to each other.
Growth dashboard. Sales, traffic, ads and email performance in one place.
Autopilot. The team keeps working overnight, and you wake up to results.
Your whole stack, connected. Shopify, Meta, Google, TikTok, Instagram, Klaviyo, Gmail and more.
MCP. Give KREV tasks directly from Claude or ChatGPT.
🎯 Who it's for
Ecommerce founders and small brand teams who want research, creative, ads, social, email, store and search handled by one team instead of five tools and a stack of freelancers.
🙏 We're still early and shipping every week. Which helper would you hand work to first, and what's missing?
@modii How does KREV make sure its AI agents coordinate smoothly when a task require multiple helpers, such as research, creative produuction, and campaign optimization??
@vipul_kumar1280 We’ve spent a lot of time working on multi-agent orchestration in our harness. So ideally everybody coordinates and contributes to work without stepping in each others.
Congrats on the great hunt, @rohanrecommends Rohan. And congrats to @modii for the relaunch.
I want to ask the following about @KREV AI Does the product itself allow us to switch the model for each of these agents? For example, for each activity that the agents have, can I choose the model I work with myself? ( Claude, Google, or OpenAI)?
@rohanrecommends @byalexai Hey Alex, part of the products offering is that we remove that guess work. We currently route requests to different providers based on their strengths in each niche. There’s visibility of transparency on which model was used, yes. However at this stage, we don’t have a model picker, we may introduce this in the future to bring your own subscription.
congrats on the launch modi. toshi is the one i would try first, store and funnel changes is where most money is lost -> but how do you check a change really lifted conversion and not just the traffic mix from the ads?
@agshin_rajabov KREV helps run A/B test of conversion optimisations workflows. Specifically when Toshi runs website conversion optimisation, it flags to keep the other channels consistent, it's not a hard rule however.
Any plans to launch equivalent for SaaS startups? Congrats on the second launch.
@syed_shayanur_rahman Not at this stage, we might in the future consider open-sourcing to enable forking to specific needs.
How are campaign budgets decided or adjusted? Is it per the performance or settings of the user?
@iamanantgupta It’s based on performance metrics with the option for the users to configure their own rulesets.
Can it do competitor analysis and take inspiration from the ad creatives of competitors?
@nuseir_yassin1 Hey, yes it can. The current database has a collection of 25,000 stores + 10M ads. It’s indexed so that the agents can research, track what’s happening in the market and re-implement tailored to your brand.
What happens if two agents make conflicting recommendations? Is there a central approval process to tackle that?
@himani_sah1 Hey, that's a good question! The supervisor in this instance would step-in, verify the feedback from both agents and make a decision for the user to approve.