SalesTracker.cc
Triple Whale
Lifetime
eCommerce Product Actions and Table
Shopgram
socketify.py
SalesTracker.cc is a Shopify sales, revenue, and traffic intelligence platform. It indexes 550,000+ Shopify stores (refreshed monthly) and surfaces them through ranked revenue and traffic leaderboards, per-store revenue snapshots (with best-selling products and units sold), installed-app and theme detection, WHOIS data, and AI-powered monthly revenue estimates.
Unlike single-purpose free detectors that answer one question at a time ("what theme is this?", "is this on Shopify?"), SalesTracker gives the full picture of an entire Shopify ecosystem in one place โ built for operators doing real competitor research, not one-off curiosity checks.
Who it's for: dropshippers finding winning products, agencies running client competitive research, investors sizing markets, SaaS founders qualifying prospects, and Shopify app developers finding customers. No Shopify store or merchant credentials required โ just enter a domain and get the data.
Free to start: the free plan includes 25 monthly credits, leaderboard previews, traffic analytics, WHOIS, and a 10-store watchlist. Pro unlocks the full revenue & traffic leaderboards, unlimited App Detector results, and up to 500 watched stores.
All data comes from public sources and respects robots.txt and rate limits.
SalesTracker.cc socketify.pyNo features have been listed yet.
SalesTracker.cc's answer
SalesTracker started from a simple need: single-purpose Shopify tools only answer one question at a time.
We wanted a single product intelligence dashboard that could show store performance, traffic, apps, themes, and revenue signals together, so operators could research competitors faster and make better decisions.
SalesTracker.cc's answer
SalesTracker is built for: - Dropshippers finding winning products - Agencies doing client competitor research - Investors sizing Shopify niches and markets - SaaS founders qualifying prospects - Shopify app developers finding potential users
In short: anyone doing serious Shopify competitor intelligence without merchant credentials.
SalesTracker.cc's answer
We do not publish named customer logos, but the main customer segments are: - Dropshippers - Agencies - Investors - SaaS founders - Shopify app developers
These are the groups that use SalesTracker most for competitor research, lead discovery, and market sizing.
SalesTracker.cc's answer
SalesTracker is unique because it combines: - 550,000+ Shopify stores indexed and refreshed monthly - Revenue and traffic leaderboards - Per-store revenue snapshots with best-sellers and units sold - Free Shopify traffic, app, theme, and store detection tools - WHOIS data, a watchlist, and AI-powered monthly revenue estimates
It gives operators the full competitor picture in one place, not just a single detector result.
SalesTracker.cc's answer
SalesTracker combines several workflows in one place, so you do not have to jump between separate tools.
That makes it better for real competitor research and market sizing than single-purpose detectors.
SalesTracker.cc's answer
SalesTracker is built on public Shopify storefront data and web-visible signals, including: - Shopify storefront HTML and product listings - Traffic signals - Domain registration / WHOIS data - Theme metadata - An AI-powered analytics engine for monthly revenue estimates
It works from public pages only โ no merchant credentials or private API access required.
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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