Custom made retail liturgical dance garments, flags and streamers for praise and worship

Acquire.com

Profitable eCommerce store with $67,542 in TTM revenue and $13,894 in TTM profit that is a retail business with a good internet presence that custom makes flags and streamers as well. We have a large supply of fabric and materials and deal with several large wholesalers who we have a very good relationship with. We carry a variety of other items as well, such as leotards, tights, dance shoes and more. All our items are hand made here in the USA. ✅ $67,542 in TTM revenue ✅ $13,894 in TTM prof...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$88,500

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

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

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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