Appointment setting agency for realtors, doing 540k USD/ YR at 55% margins with team in place.

Acquire.com

Profitable Agency with $540,000 in TTM revenue and $300,000 in TTM profit, that specializes in taking the leads realtors generate through Google PPC, Facebook, Zillow etc, and call to qualify them into appointments so they don't have to make the calls themselves. We have an in house calling team that does this. In house callers are to expensive for realtors, and they're timely/risky to ramp up, so they hire us to take that piece off their plate. ✅ $540,000 in TTM revenue ✅ $300,000 in TTM p...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$920,000

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: 000 · Missing: https docs, excited, just released

74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google, profitable · Missing: mobile apps, ios, personal

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, 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

40%40% 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

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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