Su

Subscription community helping aspiring physicians get into medical school

Acquire.com

A subscription education community designed to help aspiring physicians prepare for medical school through tutoring, research programs, shadowing tools, and application coaching. The business has 144+ subscribers, $240K ARR, and 196% year-over-year revenue growth, supported by a strong organic acquisition engine across 40+ university-specific Instagram accounts with 50,000+ followers.

A subscription education community designed to help aspiring physicians prepare for medical school through tutoring, research programs, shadowing tools, and application coaching. The business has 144+ subscribers, $240K ARR, and 196% year-over-year revenue growth, supported by a strong organic acquisition engine across 40+ university-specific Instagram accounts with 50,000+ followers. Members receive access to standardized exam tutoring, proprietary programs, application support, and structur...

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Actual performance

$20,000/yr

Made the leaderboard

Traction signals

Asking price$150,000

Annual revenue$240,000

Revenue multiple0.6x

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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, growth · Missing: mrr, profit, saas

75%75% 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 · Strong signals: education · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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: 000, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

14%14% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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