Launch Intel
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Premium Niche Sports Equipment Brand | $1.6M Revenue, $350K Profit

Acquire.com

This is a well-established, high-margin direct-to-consumer brand specializing in premium equipment and accessories for a specific field sport. The business has cultivated a loyal global following thanks to its focus on product innovation, sleek design, and athlete-driven development.

This is a well-established, high-margin direct-to-consumer brand specializing in premium equipment and accessories for a specific field sport. The business has cultivated a loyal global following thanks to its focus on product innovation, sleek design, and athlete-driven development. Products are sold via a robust eCommerce platform and select retail partners, with significant traction in key international markets including North America and Europe. With $1.6M in revenue and $350K in profit ...

Visit productView on Acquire.comEcommerce
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Actual performance

$133,333/yr
Made the leaderboard

Traction signals

Asking price$1,782,640
Annual revenue$1,600,000
Annual profit$350,000
Revenue multiple1.1x

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · 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.
Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, profit, margin · Missing: arr, mrr, saas
60%60% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
30%30% 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
20%20% 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
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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