| What it does | AI app store optimization agents for App Store and Google Play
| AI debugging for modern engineering teams
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | AE
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Growth plan $500/month (5 apps, 750 credits, 10,000 keywords researched). Pro plan $2,000/month (10 apps, 4,000 credits, 25,000 keywords researched). Scale plan $5,000/month (25 apps, 10,000 credits, 100,000 keywords researched). Enterprise plan with custom pricing. Annual billing saves 20%.
| Free Trial: 3 bug fixes per month. Pro: $33/month for 15 bug fixes per month (or $24.75/month billed as $297/year with annual discount). Super User: $60/month for 30 bug fixes per month (or $45/month billed as $540/year with annual discount). Enterprise: Custom pricing with custom bug fix volume.
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| Key features | - Keyword research for App Store and Google Play markets
- Localized metadata drafts in the store's own language
- Daily keyword rank tracking across storefronts
- Screenshot redesign and localization for App Store
- Custom product pages and A/B experiments
- In-app event drafts and scheduling
- Competitor tracking and analysis
- Team collaboration with role-based permissions
- Direct publishing to App Store Connect and Google Play
- API key connection without sharing Apple ID
| - Automated alert triage from monitoring stack
- Root cause analysis across distributed systems
- Issue reproduction in controlled environment
- Validated fix generation with test cases
- VS Code extension for local debugging
- GitHub App for automated analysis
- Self-hosted deployment option
- Integration with logs, traces, metrics and alerts
- Visible reasoning chain for every fix
- Triage sessions shareable and reloadable
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| What makes it different | - Self-learning ASO agents that research and draft across multiple markets in each storefront's own language
- One workspace connecting research, drafting, review and publishing without storing Apple ID passwords
- Daily ranking tracking to measure visibility lift after publishing changes
- Ready-to-review proposals with market context and supporting estimates
- Support for iOS and Android with App Store-specific features like custom product pages
| - Validation-first approach with reproduction tests and regression verification
- Built specifically for debugging existing bugs, not writing new code
- Handles complex distributed systems with stateful, auditable workflows
- No hard upper limit on context, processes automated log and trace ingestion
- Local deployment keeps code on user's machine
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▲ +1 (up) since last check | 36 ● no change since last check |
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| Trust Flow (Majestic) | 21 | 0 |
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| Citation Flow (Majestic) | 25 | 13 |
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| Referring domains (Majestic) | 94 | 73 |
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FixBugs