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Profitable Niche Dating Platform

Acquire.com

Profitable, long-running niche dating platform with an engaged member community and dependable recurring subscriptions. Since 2007, it’s leveraged a recognizable brand and organic traffic to deliver $145k ARR and steady cash flow.

Profitable, long-running niche dating platform with an engaged member community and dependable recurring subscriptions. Since 2007, it’s leveraged a recognizable brand and organic traffic to deliver $145k ARR and steady cash flow. Fully operational and low-touch: automated signup, subscriptions, and in‑app messaging keep members active while minimizing owner time. Ideal for an operator seeking a stable B2C asset to scale with marketing, product polish, and mobile. Key Highlights ✅ 17+ years...

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Actual performance

$12,083/yr
Made the leaderboard

Traction signals

Asking price$354,900
Annual revenue$145,000
Revenue multiple2.4x

Launch Intel predictions

Analyze your own launch →
Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, profit, profitable · Missing: mrr, revenue, saas
81%81% 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
78%78% 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
61%61% 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
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
46%46% predicted probability of success on AppSumo, 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
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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