Feedbug.app VS RepDB
Compare Feedbug.app VS RepDB and see what are their differences
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Feedbug.app
AI-Dev
Toolable.ai
Trace-AI
RepDB
Feedbug is visual bug reporting that goes straight to Linear.
Your testers and clients shouldn't need to write a perfect bug report. With Feedbug, they just click on the bug. Paste one script tag on your site, and when someone spots a problem they click exactly where it happens, drop a comment, and a Linear ticket is created automatically with everything a developer needs to reproduce it.
What lands in your ticket: - Screenshot of the exact viewport - Page URL and the element that was clicked - Console logs and JavaScript errors - Failed network requests (4xx / 5xx) - Browser, OS, screen size and device info Fixed by AI, not just reported: Feedbug ships with an MCP server. Your AI assistant (Claude, Cursor, and others) reads the bug, its diagnostics and the surrounding DOM, traces it back to your source code, and proposes the fix without you ever leaving your editor.
Built for real workflows: - One script tag, set up in 2 minutes - Works on any site or framework (HTML, React, Vue, PHP, Rails) - Visual pins so everyone sees what's already reported - Routes each bug to the right Linear project automatically Stop chasing "it doesn't work on my side". The context is already there.
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 per-request billing and no dependency on our servers staying up.
A free tier includes 600+ exercises with flat-style 512×512 images, attribution-licensed for commercial in-app use. The Starter tier ($299) adds the full catalog in classic white-background style. Standard ($499) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings — exclusive to that tier.
Every exercise includes muscle-group highlighting, equipment/muscle icons, MET values, and safety/goal tags. Compared to GIF- or JPG-based competitor APIs, RepDB images are transparent WebP with no watermarks, so they drop into any app UI without a white box around them.
Feedbug.app RepDBRepDB'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.
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