B2B Shopify app for wholesale pricing and merchant sales workflows

Acquire.com

A B2B Shopify app designed to help merchants manage wholesale and B2B sales directly inside their existing Shopify store. The app supports custom B2B pricing, tiered pricing, quantity breaks, order limits, quick order forms, hide and lock price rules, customer-group pricing, registration forms, tax display controls, shipping rules, and net terms. Built for merchants who want to serve wholesale buyers without creating a separate B2B storefront, the app already has an existing Shopify App Store...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$59,000

Launch Intel predictions

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

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.

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue

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

nativeThis product was originally launched on this platform.

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

24%24% predicted probability of success on AppSumo, 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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Shopify pricing app for merchants that tracks competitors and automates price matching20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

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