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Profitable Media Syndication Platform for Publishers | $2.9M TTM Revenue, $1.56M TTM Profit

Acquire.com

This profitable media syndication platform helps publishers turn messy content operations into a simple, repeatable revenue engine. It automates feed creation, quality checks, metadata cleanup, distribution, and monetization so customers can publish faster, reduce manual work, and earn more from their content.

This profitable media syndication platform helps publishers turn messy content operations into a simple, repeatable revenue engine. It automates feed creation, quality checks, metadata cleanup, distribution, and monetization so customers can publish faster, reduce manual work, and earn more from their content. The business is already proven at scale with $2.9M TTM revenue, $1.56M TTM profit, $2.5M ARR, and 45% growth. It operates in a sticky niche where customers rely on the platform for dai...

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Actual performance

$208,333/yr
Made the leaderboard

Traction signals

Asking price$7,478,218
Annual revenue$2,500,000
Revenue multiple3.0x

Launch Intel predictions

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Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, revenue, profit · Missing: mrr, saas, margin
78%78% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: profitable · Missing: mobile apps, ios, personal
68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
57%57% 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
47%47% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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