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Online platform for music producers and DJs to easily find acapella files

Acquire.com

SaaS with $165 in TTM revenue and $80 in TTM profit that allow users to search through thousands of acapellas and are able to download 2 from the platform for free every month. After that, a paid subscription is required.

SaaS with $165 in TTM revenue and $80 in TTM profit that allow users to search through thousands of acapellas and are able to download 2 from the platform for free every month. After that, a paid subscription is required. ✅ $165 in TTM revenue ✅ $80 in TTM profit ✅ Tech: Laravel, Vue.js, Digital Ocean, Mailgun ✅ Competitors: acapellas4u

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$3,000

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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: io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit, saas · Missing: arr, mrr, profitable
36%36% 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 HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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