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Delta Sports
TrustMRRDelta Sports is an AI-driven data analytics platform that provides predictive modeling and statistical insights for sports markets. We sell monthly subscriptions to our proprietary data dashboard and
Delta Sports is an AI-driven data analytics platform that provides predictive modeling and statistical insights for sports markets. We sell monthly subscriptions to our proprietary data dashboard and LLM tools
Share cardActual performance
21customers
$831MRR/mo
Did not reach leaderboard
Traction signals
Domain Rating11
MRR growth 30d-27.4%
Launch Intel predictions
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting64%64% 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.
TrustMRRFits verified-revenue profile · Strong signals: month, monthly · Missing: mobile apps, ios, personal59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto56%56% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model · Missing: mac, agents, macos35%35% 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 · Missing: plus, intuitive, reviews30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Incorrect prediction on native model
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