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The only AIO/SEO plugin for one of largest CMS Platform worldwide—50,000+ users, 150% annual growth.
Acquire.com$35K to $1.95M ARR in 3 years — 187% CAGR. 131% YoY growth.
$35K to $1.95M ARR in 3 years — 187% CAGR. 131% YoY growth. ~82% gross margin. Monopoly position as the only AIO/SEO extension in one of most popular CMS ecosystems, with zero direct competitors and millions of captive potential users. Revenue has scaled across three streams: core SaaS subscriptions, a merged ad attribution product adding $500K ARR, and SEO course revenue. AI-native agents are launching imminently that automate keyword research, content briefs, audits, and rank monitoring, wi...
Share cardActual performance
$162,500/yr
Made the leaderboard
Traction signals
Asking price$6,000,000
Annual revenue$1,950,000
Revenue multiple3.1x
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting92%92% 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, saas · Missing: mrr, profit, profitable86%86% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, user · Missing: mac, macos, cursor64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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