Storeradar.io VS YieldStack

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

YieldStack's answer:

The largest CRE Lenders in the USA

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.

YieldStack's answer:

AI integrations supporting the platform’s workflows.

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.

YieldStack's answer:

YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.

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.

YieldStack's answer:

YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.

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.

YieldStack's answer:

Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.

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.

YieldStack's answer:

Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.