07 May 2025
Sports

high-quality sports data api provider for niche sports like tennis, ...

...ufc, cricket, golf, etc

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Error

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  • Confidence: Low
    • Number of similar products: 1
  • Engagement: Medium
    • Average number of comments: 8
  • Net use signal: 22.5%
    • Positive use signal: 22.5%
    • Negative use signal: 0.0%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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Introducing SportDevs API – Real-Time Sports Data

17 Jan 2024 Sports API Developer Tools

Hello HN, we're Simeon and Mihail. After a year of grinding, we're rolling out our SportDevs API (https://sportdevs.com/) Our journey began with a question: Why are most sports APIs slow to deliver and narrow in scope? The answer wasn't simple. We dissected the typical sports data stack and found bottlenecks everywhere – from inefficient API calls to bloated data structures that weren't built for speed.To address this, we developed the SportDevs API, focusing on speed and a broad range of language support.SportDevs API is designed for diverse tech stacks, extending beyond the standard offerings.We've included extensive language bindings, from Python and JavaScript to C#, Go, Ruby, and more. This multi-language approach is about fitting into various development workflows seamlessly.The API provides rapid access to a wide array of sports data (more precisely, it covers 21 sports), including endpoints for match statistics, player statistics, match news, etc.., with response times under 200ms. Here are a few ways developers are using SportDevs API:Building Interactive Sports Analytics Platforms: Leveraging detailed data for in-depth analysis of games and player performances.Creating Real-Time Sports News Aggregators: Utilizing up-to-date sports data to deliver the latest news and updates to sports fans.Developing Fantasy Sports Applications: Using player statistics and match data to enrich fantasy sports gaming experiences.Enhancing Sports Betting Platforms: Integrating real-time odds and match events for dynamic betting interfaces.We've tailored our documentation to be as friendly as possible, guiding from the initial setup to advanced data utilization. You can check it out here (https://docs.sportdevs.com/docs) . For more about our offerings, visit SportDevs.We're looking to stir up a conversation on how sports data can be done better. Feel free to check the API, try it yourself, and let us know – what we have missed and where we can improve.

The SportDevs API, offering multi-language sports data access, has received mixed feedback. Users appreciate the new addition to the sports data space but have concerns about the lack of data source information. Specific inquiries were made about the data sources, such as Yahoo API, and requests for documentation for unsupported languages and examples. Questions also arose about NASCAR coverage. One user requested an API key for websocket service, and the focus on football (soccer) was noted. Overall, the reaction is positive with a desire for more detailed information.

Users are requesting information on data sources, finding documentation and examples hard to locate, and are curious about what sets the product apart from competitors like Sportmonks.


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