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Digg delivers the most interesting and talked-about stories on the Web right now.

Exercise dataset for fitness apps: transparent background, animations, no subscription
Which is more popular?
Based on our record, Digg seems to be more popular. It has been mentioned 76 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | reboot.digg.com | repdb.co |
| Pricing | — | |
| Platforms | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Digg yet.
RepDB is a one-time-purchase exercise dataset with animations for developers building fitness and workout apps — not a subscription, not a rate-limited API. You download the data once and own it: JSON (and SQLite on the higher tier), WebP images, and full EN/DE/ES translations, with no...
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As answered by people managing Digg and RepDB.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API — you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.
RepDB's answer:
RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.
RepDB's answer:
Most alternatives are subscription APIs — you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.
RepDB's answer:
Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.
Share your experience with using Digg and RepDB. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


If you primarily use social networks for getting your daily dose of news, you have tons of options at your disposal. Digg, Flipboard, Feedly, Google News, Apple News, etc., are great options. Digg stands out among...
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Recommendations tracked on public social media and blogs since March 2021.


Most likely, this is what Digg's comeback is going to be: https://reboot.digg.com. - Source: Hacker News / over 1 year ago
I miss StumbleUpon :). Did you see that Digg is also about to make a comeback? I joined their group and it's been fun to see how they are thinking through it -> https://reboot.digg.com/. - Source: Hacker News / over 1 year ago
They are referring to digg who set up most AMA. Source: about 3 years ago
Tracking RepDB since Jul 2026.
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Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.
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Contextly provides content recommendation system for publishers.
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Hacker News is a social news website focusing on computer science and entrepreneurship. It is run by Paul Graham's investment fund and startup incubator, Y Combinator.
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Pixfuture is a self serve advertisement platform for advertisers and publishers.
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