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Profitable Team Performance SaaS

Acquire.com

This profitable B2B SaaS helps managers of remote and hybrid teams run better retrospectives, 1:1 meetings, and team health surveys in one simple platform. It solves a clear, recurring problem for team leads: keeping employees engaged, aligned, and performing well without adding extra admin work.

This profitable B2B SaaS helps managers of remote and hybrid teams run better retrospectives, 1:1 meetings, and team health surveys in one simple platform. It solves a clear, recurring problem for team leads: keeping employees engaged, aligned, and performing well without adding extra admin work. The business has been operating for 5+ years with 170 customers, strong recurring revenue, and many long-term accounts. It has grown through inbound marketing only, with a freemium product and self-...

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Actual performance

$45,166/yr
Made the leaderboard

Traction signals

Asking price$1,600,000
Annual revenue$542,000
Annual profit$384,000
Revenue multiple3.0x

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, profit, saas · Missing: arr, mrr, margin
76%76% 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: profitable · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
46%46% 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
45%45% 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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