Launch Intel
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Enterprise Employee Advocacy SaaS | $1.08M TTM Revenue | 98% Recurring | 100 Enterprise Customers

Acquire.com

An established enterprise SaaS platform that helps organizations amplify their brand through employee advocacy. The business generates highly predictable recurring revenue from blue-chip enterprise customers and is supported by a mature product, reseller partnerships, and six years of proprietary benchmark data.

An established enterprise SaaS platform that helps organizations amplify their brand through employee advocacy. The business generates highly predictable recurring revenue from blue-chip enterprise customers and is supported by a mature product, reseller partnerships, and six years of proprietary benchmark data. Key Highlights: ✅ $1.08M TTM revenue with 98% recurring revenue ✅ ~$1.05M ARR (~$90K MRR) ✅ 100+ enterprise customers and 100,000+ enrolled users ✅ Blue-chip European customer base w...

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Actual performance

$87,500/yr
Made the leaderboard

Traction signals

Asking price$2,644,820
Annual revenue$1,050,000
Revenue multiple2.5x

Launch Intel predictions

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Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, mrr, revenue · Missing: profit, profitable, margin
83%83% 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 · Strong signals: organizations · 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: users · Missing: mobile apps, ios, personal
65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
52%52% 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, users · Missing: plus, intuitive, reviews
27%27% 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
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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