CoffeeScript
Octoparse
Diggernaut
eScraper
Agenty
artoo.js
Typescript
JavaScript
Bloom Analytics
Triple Whale
BeProfit
Conversific
RetentionX
OWOX BI
Polar Analytics
Rockerbox
We recommend LibHunt CoffeeScript for discovery and comparisons of trending CoffeeScript projects.
Bloom tracks your true ecommerce profit after ads, shipping, COGS, transaction fees, refunds, and operating expenses, so you stop relying on vanity metrics and see which products, campaigns, and channels actually drive profit. Track financial performance across products, orders, countries, ad campaigns, and email campaigns, drilling into Product Intelligence, Country Profits, and Email Profits to understand exactly where profit comes from and where it leaks. Build custom dashboards tailored to your business to surface the metrics that matter most, all in one clean view. View a detailed Profit & Loss table with a toggle to switch between Shopify and Amazon revenue, or see them separately, and measure ROAS, POAS, Contribution Margin, and Net Profit from a single dashboard. Connect Google Ads, Meta Ads, TikTok, Pinterest, and Snapchat to see which channels bring profitable customers, not just clicks, and connect Klaviyo, Mailchimp, and Omnisend to see email profits per campaign. Use multi-touch attribution to understand the complete customer journey and accurately track campaign performance across channels, then apply custom cost rules based on product, quantity, country, shipping zone, and operational expenses to calculate true profit with precision. Get profit insights in Email and Slack, including scheduled Slack summaries, to quickly spot wasted ad spend, declining margins, underperforming products, scaling opportunities, and hidden profit leaks. Connect Bloom to Claude or ChatGPT via MCP to query your profit data in natural language. Whether you run one Shopify store or many, stop guessing and start scaling what actually makes money.
CoffeeScript Bloom AnalyticsCoffeeScript may be recommended for developers maintaining legacy CoffeeScript projects, or for those who prefer its syntax over JavaScript and are working on small projects. It might also be useful for educational purposes to understand how language features influence each other.
Bloom Analytics's answer:
The primary audience includes Shopify e-commerce businesses focused on improving profitability, tracking marketing performance, and making data-driven growth decisions.
Bloom Analytics's answer:
Bloom Analytics is primarily built using Ruby on Rails to create a fast, reliable, and scalable analytics platform for Shopify businesses.
Bloom Analytics's answer:
-CAPS -Curio Blvd -OMOYE -thecupcakequeens
Bloom Analytics's answer:
It is budget friendly, It focuses on Profit calculation and attribution, also helps in customer journey and company performances Profitability.
Bloom Analytics's answer:
Bloom Analytics helps you clearly understand your business profit across products, marketing channels, countries, and order fulfillment. It shows how each part of your store contributes to profit โ all from one simple dashboard.
Bloom Analytics's answer:
While working with Shopify brands, we kept hearing the same feedback that weโre making sales, but we still donโt know our actual profit. It made sense. With ad spending, shipping costs, product costs, discounts, and fees, tracking real profit can get messy quickly. Most store owners find themselves hopping between different dashboards just to understand whatโs working. So, we built Bloom Analytics. Itโs a simple profit analytics platform that helps Shopify businesses understand- What products are profitable, which countries and campaigns provide the best returns, which ad platforms truly generate profit through multi-touch attribution, and all from one clear dashboard. No confusing spreadsheets. No endless tabs. Just clear profit insights that help brands make better decisions.
Based on our record, CoffeeScript seems to be more popular. It has been mentiond 28 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.
Not literally. And I would hardly say it was a matter of language superiority. I love Ruby myself. But Github was a lot simpler when it was still just a Rails app. But Rails was SSR by default, and most of the frontend was just Embedded Ruby (ERB) template files all over the place. And way back when, it was even relatively common to use Javascript supersets like CoffeeScript[1] and Opal[2]. The latter being Ruby... - Source: Hacker News / 3 months ago
Surely coffeescript would have been more appropriate? [0]: https://coffeescript.org/. - Source: Hacker News / 8 months ago
My personal take is this would be like JavaScript adopting an optional Coffeescript[1] syntax. It's so different that it seems odd to make it an option vs a new language, etc. [1] https://coffeescript.org/#introduction. - Source: Hacker News / 9 months ago
JS isn't perfect, but it's good enough. And there is ongoing effort to make it even better. Also, many other languages compile to JS (without WASM). Notably: - https://www.typescriptlang.org/ - https://coffeescript.org/ - https://clojurescript.org/ - https://www.transcrypt.org/ I wrote https://multi-launch.leftium.com, which is only 6% JS. The majority is Svelte (65%) + TypeScript (27%). ( - Source: Hacker News / over 2 years ago
As a front-end web developer, do you still use CoffeeScript or jQuery? Unlikely, as TypeScript, ES/TC39 and Babel (and the retirement of Internet Explorer thanks to @codepo8 and his EDGE team) have helped to transform JavaScript into some kind of a modern programming language. - Source: dev.to / over 3 years ago
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Triple Whale - Triple Whale helps ecommerce brands make better decisions with better data.
Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.
BeProfit - Track and understand your Shopify data. Optimize profits!
eScraper - eScraper is an eCommerce data scraping tool that collects data from multiple sites and prepares a relevant .csv or excel file with all product info for your stores, whether its, PrestaShop, Magento, WooCommerce, or Shopify store.
Conversific - Conversific is a Business Intelligence platform designed to capture and analyze the data from your Shopify store. It includes built-in tips from ecommerce gurus and provides instant guidance.
