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Absolutely. I have a couple of sports apps [0] that use both scraped web data and a hidden API to get realtime baseball game information. One of them won a spor
by callmeed 10y ago
Absolutely. I have a couple of sports apps [0] that use both scraped web data and a hidden API to get realtime baseball game information. One of them won a sports hackathon a couple years ago (sports radar was a sponsor).
From what I recall, sports radar is really expensive because they have people manually entering data all the time. If you could find a happy medium where your data is close to real-time but doesn't require a lot of manual work, you could keep your costs low and prices affordable for small app developers.
I'd suggest targeting mobile developers and not just fantasy/daily fantasy. I'd love to work some more up-to-date questions in my sports trivia app. Example: "What had the most rebounds in Warriors/Cavs game 1?"
[0]
https://itunes.apple.com/us/app/hat-trick-daily-sports-trivia/id722427984?mt=8 https://itunes.apple.com/us/app/hat-trick-daily-sports-trivi...
https://itunes.apple.com/us/app/on-deck-baseball-alerts/id911024857?mt=8 https://itunes.apple.com/us/app/on-deck-baseball-alerts/id91...
- romellogoodman 10y agoThat's what I was thinking. I'm sure live games you have to manually enter but other than that it can be automated. And I really want to help mobile developers and developers in general. There are some great apps that can be built out there. They just need data access.
- Touche 10y agoHow far off are we from using machine learning to gather data from video, removing the manual entry cost?
- Eridrus 10y agoYou're probably better off with an OCR system that's configured per channel display format, rather than an ML solution. ML systems require training regardless of effectiveness.