AI

AI-Powered Live Prop Signal SaaS for NBA/MLB/NCAAB — Mobile-First, Stripe Subscriptions

Acquire.com

LiveLocks is a real-time sports betting analytics SaaS that helps bettors identify higher-confidence opportunities across MLB, NBA, and NCAAB. The platform combines live game data, matchup intelligence, proprietary scoring models, player-prop analysis, and HR Radar alerts to surface actionable betting signals as games unfold.

LiveLocks is a real-time sports betting analytics SaaS that helps bettors identify higher-confidence opportunities across MLB, NBA, and NCAAB. The platform combines live game data, matchup intelligence, proprietary scoring models, player-prop analysis, and HR Radar alerts to surface actionable betting signals as games unfold. It includes paid subscription tiers, Stripe billing, user authentication, alerts, and a full production-ready frontend and backend. Built as a lean subscription product...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$6,200

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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 · Strong signals: model, user, stripe · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
34%34% 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, io · Missing: https docs, excited, just released
19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.

Correct prediction on native model

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