Bird Eats Bug vs Bugsee
Bird Eats Bug
birdeatsbug.comBugsee
bugsee.comSide by side
| Figure | Bird Eats Bug | Bugsee |
|---|---|---|
| Price from | $50/mo | $8.25/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 4 | 3 |
| Spec score · Issue Tracking Software | 8.4 (#12) | 8.3 (#16) |
| Integrations | Listed integrations include Azure DevOps, GitHub, Rollbar, Jira Cloud, Linear, Slack, Trello, Zapier, Zendesk, and Intercom. | Bugsee supports issue-based integrations including Jira, GitHub, GitLab, and Trello, and event notifications through Slack and Microsoft Teams. |
Plans
Bird Eats Bug
- FreeFree
- Starter$50 a month
- Premium$100 a month
- EnterprisePriced on request
In their own words
Bird Eats Bug
Bird Eats Bug has no write-up on Specifiction yet; its figures are above.
Bugsee
Bugsee captures app activity and diagnostic data to help developers investigate bugs and crashes. It records video of user interactions at 10 frames per second and aligns the replay with crash context. Reports can include network requests and responses, console logs, system traces, crash reports, and environmental context. In supported views, its SDK automatically blacks out password and other secure fields so sensitive screen data does not leave the device. Bugsee supports Android, iOS, and web, along with frameworks including React Native, Flutter,.NET/MAUI, Unity, Cordova, and Kotlin Multiplatform. Issue-based integrations include Jira, GitHub, GitLab, and Trello; Slack and Microsoft Teams receive event notifications. The free Lite plan allows up to five unique devices per month and retains data for three days. PRO starts at $99/mo when billed annually, with monthly billing listed at $139; it allows up to 50 unique devices per month and 30-day data retention. Device use across multiple apps is summed. Bugsee also offers an MCP server with scoped access to crashes, errors, builds, and vulnerability scans, with inference kept in the user's environment.