Built for Shopify B2B Wholesale App

Acquire.com

This business is a Shopify app that helps online stores add B2B and wholesale selling without custom development. Merchants can offer tiered and volume pricing, approve wholesale buyers, set NET payment terms, create customer groups, and sell in multiple currencies through a simple subscription model with no revenue share. It is a fast-growing, low-maintenance SaaS with strong built-in demand from the Shopify App Store. The business serves 474 paying merchants, has a 5.0-star rating across 2...

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Actual performance

$15,000/yr

Made the leaderboard

Traction signals

Asking price$498,000

Annual revenue$180,000

Revenue multiple2.8x

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, saas, subscription · Missing: arr, mrr, profit

71%71% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: model · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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