BattleTabs Arcade vs Wordmap
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
BattleTabs Arcade compared with Wordmap
| Detail |
BattleTabs Arcade |
Wordmap |
| What it does | Build and publish mini-games and ship mods for the BattleTabs naval combat game
| Free browser games for word reasoning, spelling, vocabulary, and city geography
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| Stage | MVP
| Not given
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| Founded | Not given
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| Based in | GB
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| Pricing model | Free
| Free
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| Pricing | Not given
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| Key features | - AI-powered code generation for game creation
- One-line installation via npx command
- Bot testing to verify game fairness
- Playtest with friends via invite links
- Community review and approval process
- Sandboxed execution with memory and time limits
- Game publishing and listing in Arcade tab
- Creator license and ownership rights management
| - Unlimited five-letter word rounds with no game limit
- Position and repeated-letter feedback after every guess
- Color-coded tile feedback: teal for correct position, coral for present elsewhere, navy for absent
- Repeated letters tracked by quantity matching answer count
- Review feature to identify weak guesses after solving
- Library of 216 reviewed practice answers
- Optional public ranking submission without login
- Local browser storage for solo statistics
- Word Pattern Explorer tool to inspect answer candidates
- Deterministic rules for game feedback, not AI-generated scoring
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| What makes it different | - No coding knowledge required; AI agent writes the code
- Works across Mac, Windows and Linux with single installation command
- Creator retains ownership while game reaches the entire community
- Integrated with existing AI agents like Claude, Cursor and VS Code
- Safe sandbox environment prevents malicious code execution
| - Visible explanation behind each result, not hidden methodology
- Independent practice set with transparent editorial standards, not affiliated with other publishers
- No registration, payment, or login required to play and learn
- Finite checked datasets with clear boundaries and documented limitations
- Deliberate practice method focusing on weak decision review, not random repeated attempts
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 49 ● no change since last check | 36 ● no change since last check |
| Trust Flow (Majestic) | 9 | 24 |
| Citation Flow (Majestic) | 32 | 23 |
| Referring domains (Majestic) | 93 | 94 |
4 details filled in for both companies.
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