High-Growth Baby Care Ecommerce Brand with $2.46M Revenue, 50% YoY Growth, and 32% Profit Margin

Acquire.com

This is a fast-scaling ecommerce brand offering ergonomically designed baby care products with a focus on comfort, safety, and functionality. With products like the DreamNest™ baby bed and SnuggleStrap™ 4-in-1 carrier, the brand serves modern parents seeking practical, high-quality solutions. Built on strong fundamentals and organic traction, Babybliss is an ideal acquisition for operators seeking a turnkey DTC brand in a growing niche. Brand Highlights ✅ $2M TTM revenue and $645K profit — h...

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Actual performance

$205,000/yr

Made the leaderboard

Traction signals

Asking price$800,000

Annual revenue$2,460,000

Annual profit$645,000

Revenue multiple0.3x

Launch Intel predictions

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

81%81% 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: arr, revenue, profit · Missing: mrr, saas, profitable

57%57% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

36%36% 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

22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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