Hi

High-Margin Fully issued Patented DTC Brand

Acquire.com

We are fully patented (US 11,261,071, B2 + 10,947,097,B2) and trademarked, high-margin DTC lifestyle brand that has become a viral hit among social and party audiences. The product combines novelty appeal with utility, creating a fun, shareable experience that drives organic word-of-mouth and repeat sales from over 60,000+ customers.

We are fully patented (US 11,261,071, B2 + 10,947,097,B2) and trademarked, high-margin DTC lifestyle brand that has become a viral hit among social and party audiences. The product combines novelty appeal with utility, creating a fun, shareable experience that drives organic word-of-mouth and repeat sales from over 60,000+ customers. Bootstrapped and profitable since launch in 2021, the brand runs lean with minimal overhead and fully outsourced manufacturing. With $659K TTM revenue, $555K p...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$1,500,000

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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.
TrustMRRFits verified-revenue profile · Strong signals: profitable · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000 · Missing: https docs, excited, just released
41%41% 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: revenue, profit, profitable · Missing: arr, mrr, saas
37%37% 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
21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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