Profitable SaaS Automation Platform for Ecommerce with $401,000 in TTM Profit

Acquire.com

Profitable SaaS sneaker automation bot with $689,000 in TTM revenue and $401,000 in TTM profit that provides a full-fledged automation, generation, and management software and toolbox to customers that helps them quickly secure limited items online. ✅ $689,000 in TTM revenue ✅ $401,000 in TTM profit ✅ $35,000 in revenue last month ✅ $6,000 in profit last month ✅ Competitors: Cybersole, AIOBot, NSB ✅ 30,000 followers and 15,000 emails

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$800,000

Launch Intel predictions

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

82%82% 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.

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

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

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

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit, saas · Missing: arr, mrr, margin

45%45% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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

21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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