Built for Latin American e-commerce sellers, Dropkiller surfaces winning products and validated ad creatives so sellers stop guessing what to stock. $50,358 MRR, 2,307 active subscriptions, $1.1M total revenue — founded October 2024, barely a year old. The exact same model, rebuilt for India's Meesho sellers, Shopify D2C brands, and Flipkart merchants, is completely wide open.
Dropkiller's insight is that most e-commerce sellers — especially first-time dropshippers and small D2C brands — make product decisions based on gut feel or copying competitors. Dropkiller replaces that guesswork with data: which products are trending, which ads are performing, which niches are oversaturated. India's version of this tool barely exists.
The starting point is flexible — sellers can research by niche ("pet accessories"), keyword ("wireless charger"), or spy on a competitor's top-selling products directly.
Each product card shows estimated order volume trends, how many sellers are competing, profit margin estimates at India-realistic price points, and a saturation score so sellers know if they're late to the party.
Scrapes and surfaces actual ads running on Meta and Instagram for that product category — letting sellers see what creative formats and hooks are converting before they spend a rupee on their own ads.
For each trending product, the platform shows where to source it — Alibaba, IndiaMART, or local Indian wholesale suppliers — so sellers can move from research to stocking in one platform.
India has one of the world's largest e-commerce seller bases — Meesho alone has 15M+ sellers, most of them small resellers who have no idea what's trending or where to source it. Dropkiller's model, rebuilt for India, is a direct product-market fit.
Scoped to product trend tracking and competitor ad spying for Meesho/Shopify sellers only. Skip the supplier sourcing integration for v1 — the research and ad intelligence is the core value to ship first.
Search interface, product cards, ad creative gallery, and saved list in one framework.
Stores user accounts, search history, saved products, and cached trend data.
Pulls trending product data from Meesho/Flipkart and ad creatives from Meta Ad Library.
Generates a 3-bullet AI summary for each trending product — why it's hot, who buys it, what hook to use.
Re-checks saved products for trend changes every 24 hours and alerts users to significant shifts.
₹499/month Starter and ₹1,499/month Pro tiers, UPI-first.
Where: Vercel for the app and cron jobs, Supabase for the database. The data quality of your product trend sources is the entire product — invest time upfront identifying which Indian e-commerce platforms have the best publicly accessible trending data before writing around it.
This prompt sets up the full build context so the AI scopes, plans, and starts coding the project with you from message one.
Send me a screenshot of what you ship — it might be the next reel.
DM @buildwithkanhaa →