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Vault – Sports bet data aggregation app

Hacker News

Vault – Sports bet data aggregation app

Hey HN, this is Caleb and Zach, we co-founded Vault after realizing how behind the times consumer-facing tech was in the sports betting industry. After creating various products and prototypes for sports bettors for most of 2020 (many with little/no success), in early 2021 we realized a key problem that sports bettors faced... Most of them were tracking their bets, ROI, and net profit using Excel tables or other forms of manual entry. Gaining inspiration from fintech apps such as Intuit Mint and CoPilot, both of which link with your financial accounts and aggregate your data, we created Vault. An app that links with a bettor's sportsbooks (i.e. DraftKings, BetMGM, Caesars) and aggregates that data. Would love to hear your thoughts, and feel free to reach out to Zach and I at info@vaultsportshq.com

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
84%84% 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: apps · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps, using · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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