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Storeradar.io VS imagecli

Compare Storeradar.io VS imagecli and see what are their differences

Storeradar.io

Download the entire Shopify store database as a single CSV. 2.5M stores, 1.9M emails, 190K phone numbers, full tech stack. One-time $149. No subscription.

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0 reviews
Pricing
Paid Free trial $149 / One-off ("2.5M Shopify Stores", "1.9M emails", "190K phone numbers")
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imagecli

Uploading local or remote images from CLI to store in Cloud. - egoist/image-cli

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STATUS: Project Governance
STATUS: Project Governance — lightweight project governance for professional project managers and consultants. Keep RAID, decisions and actions live, then export client-ready status reports. For iPhone, iPad and Mac. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

Storeradar.io
imagecli
Website storeradar.io github.com
Pricing
Paid Free trial $149 / One-off ("2.5M Shopify Stores", "1.9M emails", "190K phone numbers") Official pricing
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Company Startup from France · 1 - 9 employees · 2026 —
Listed in
Lead Generation Sales Intelligence Email Marketing Digital Marketing Sales Email Database B2B +4
Project Management Task Management Work Management Productivity +1

About Storeradar.io and imagecli

In their own words, as submitted to SaaSHub.

Storeradar.io
imagecli

StoreRadar is the complete Shopify store database, sold as a single downloadable CSV instead of a subscription. Most Shopify lead and tech-lookup tools charge every month for dashboard or API access. StoreRadar sells the data itself: one file, one payment, yours forever. What's in the file (2.5M...

Read more about Storeradar.io

No description of imagecli yet.

Features and specs

What each product offers, as listed by its team.

Storeradar.io 3 features
imagecli 5 features
  • Store discovery
    2.5M stores and 100-200 new ones daily
  • Stack detection
    app detection (250+ apps), Themes and technographics
  • Contact information
    Verified emails, phone numbers, Social media
  • Simple CLI interface
    image-cli offers a straightforward command-line interface that lets users perform common image operations like resizing, converting formats, and compressing without writing code, making it accessible for quick tasks and scripting.
  • Built on Sharp
    Under the hood it leverages the Sharp library, which is known for high performance and low memory usage when processing images, so users benefit from fast conversions and resizing even for large batches.
  • Multiple format support
    The tool supports converting between popular image formats such as JPEG, PNG, WebP, and AVIF, giving developers flexibility to optimize images for web or other platforms without needing separate tools.
  • Batch processing
    image-cli can process multiple files or entire directories in one command, which is useful for automating image optimization pipelines in build scripts or CI/CD workflows.
  • Lightweight and easy to install
    As an npm package, it can be installed quickly via npm or yarn and used directly with npx, requiring minimal setup compared to more complex image processing suites.

Possible disadvantages

  • Limited advanced features
    Compared to full-featured image editing suites, image-cli offers a relatively narrow set of operations (resize, convert, compress) and lacks more advanced manipulations like layers, filters, or complex transformations.
  • Dependency on Node.js ecosystem
    Since it's an npm-based CLI, users need Node.js and npm installed, which adds an extra dependency for those who just want a standalone binary without a JavaScript runtime.
  • Documentation gaps
    Being a smaller, less mainstream project, the documentation may be sparse or lack detailed examples for edge cases, making it harder for new users to discover all available options or troubleshoot issues.
  • Maintenance and community support
    As a side project by an individual maintainer (egoist), the tool may receive infrequent updates or slower bug fixes compared to more actively maintained, enterprise-backed image processing tools.
  • Limited error handling and feedback
    Some users report that error messages when processing fails (e.g., unsupported formats or corrupted files) can be unclear, making debugging batch operations more time-consuming.

Analysis

An editorial look at what each product does well and who it suits.

Storeradar.io
imagecli

No analysis of Storeradar.io yet.

Overall verdict

  • imagecli appears to be a niche, lightweight command-line tool for image processing tasks, useful for developers and automation workflows but lacking widespread adoption or extensive documentation compared to established tools like ImageMagick.

Why this product is good

  • Provides a simple CLI interface for common image manipulation tasks, which can be convenient for scripting and automation.
  • Being open-source on GitHub, it allows for community contributions and transparency in its codebase.
  • Likely lightweight and fast for basic operations, avoiding the overhead of larger image processing suites.
  • Good for developers who prefer minimal dependencies over full-featured libraries.

Recommended for

  • Developers needing a quick, scriptable tool for basic image conversions or edits.
  • Users building automated pipelines or CI/CD workflows requiring simple image processing steps.
  • Those who prefer command-line tools over GUI-based image editors.
  • Projects where minimal dependencies and lightweight tooling are prioritized over extensive feature sets.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Storeradar.io
imagecli
100% 100%
Lead Generation
0% 0%
0% 0%
Task Management
100% 100%
100% 100%
Sales Intelligence
0% 0%
0% 0%
Work Management
100% 100%

Questions & Answers

As answered by people managing Storeradar.io and imagecli.

Why should a person choose your product over its competitors?

Storeradar.io's answer

Tools like BuiltWith and Wappalyzer tell you the technology on a domain you already have. Seat-based databases like Apollo.io are priced for company sales teams. StoreRadar is different on both counts: it hands you every Shopify store up front, already enriched with contact data and tech stack, and it is priced as a one-time purchase from $149 rather than a monthly subscription. You get the complete, filterable dataset in one file, you own it, and there is no per-seat pricing or dashboard to learn. For anyone focused specifically on the Shopify ecosystem, it is the fastest and cheapest way to get the whole market in a spreadsheet.

What makes your product unique?

Storeradar.io's answer

StoreRadar sells the entire Shopify store database as a single downloadable CSV instead of a subscription. Most Shopify lead and tech-detection tools charge monthly for dashboard or API access; StoreRadar sells the data itself. One $149 payment gives you all 2.5M Shopify stores with 66+ columns per row, including 1.9M verified emails, phone numbers, installed apps, tech stack, and lead and SEO scores. You download it once and own the file forever, with no seats and no recurring fees.

How would you describe the primary audience of your product?

Storeradar.io's answer

StoreRadar is built for people who need Shopify store data once and want to own the file, not rent a dashboard. That includes Shopify agencies doing cold outreach and migration prospecting, app and theme developers looking for stores that run a particular app or stack, freelancers and solo marketers who need one campaign's worth of leads, and indie hackers validating Shopify-adjacent product ideas. The common thread is that they need the raw, filterable data rather than a seat-based sales-intelligence platform.

What's the story behind your product?

Storeradar.io's answer

StoreRadar started from a simple observation about lead databases: most people subscribe, export the data once, and cancel. The monthly dashboard, the seats, and the per-user pricing are built for large sales teams, not for the freelancer, the solo agency, or the single developer trying to find users for an app. So StoreRadar removed the SaaS wrapper and sells the export itself: the full Shopify store database as a one-time CSV. The insight was that people do not need another dashboard, they need the file.

Which are the primary technologies used for building your product?

Storeradar.io's answer

StoreRadar is a Ruby on Rails 8 application. It uses Hotwire (Turbo and Stimulus) for the interface, PostgreSQL as the primary database, and TailwindCSS for styling. On top of the app sits a continuous data pipeline that monitors the Shopify ecosystem and refreshes the store dataset daily. Payments run through Stripe.

Who are some of the biggest customers of your product?

Storeradar.io's answer

  • Independent Shopify agencies running client outreach
  • App and theme developers targeting Shopify merchants
  • Freelance marketers and cold-email consultants
  • Indie founders validating Shopify-adjacent product ideas

User comments

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