Stellarch vs Parallel Parking Simulator
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Stellarch compared with Parallel Parking Simulator
| Detail | 
Stellarch | 
Parallel Parking Simulator |
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| What it does | Deterministic anime trading-card game with real card ownership on Hive blockchain
| Free 3D browser simulator for learning parallel parking with step-by-step coaching
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Free trial
| Free
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| Pricing | Free to start with in-game account. $1 packs available. SGC redeemable at $0.001 per SGC redemption floor.
| Not given
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| Key features | - Deterministic seeded-RNG combat engine with byte-identical replays
- Draft 7-card team across 8 affinities and 15 alien races
- 84 dynamic rulesets that reshape the battlefield
- On-chain card ownership and player-driven market
- Ranked ladder with league-scaled rewards from Bronze to Champion
- Guild system with cooperative weekly brawls and shared colony
- Free in-game account without requiring external wallet
- Hand-painted kinetic card art across eight affinities
| - Six levels from basic to advanced
- Step-by-step coach guidance through seven driver-seat steps
- Working side mirrors and reversing camera
- Three camera views: third person, top down, or driver's seat
- Realistic car turning circle
- Star rating system for each level
- Supports left-hand traffic driving
- Mobile and phone support with touch controls
- No account or download required
- Progress saved in browser
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| What makes it different | - Provably fair: every match is deterministic and replays byte-identically to verify fairness yourself
- Skill and smart drafting matter more than wallet size or spending
- True card ownership on-chain with real trading market
- Product-backed currency with guaranteed redemption floor
| - Coach uses only reference points visible from driver's seat, not invisible bumpers or wheels
- Instructions validated by automatic testing with human-sized mistakes
- Based on published driver handbooks rather than guesswork
- Covers both pulling in and pulling out of tight spaces
- Free practice with no limits on repetition
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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 |
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| DR (Domain Rating by Ahrefs) | 5 ▲ +1 (up) since last check | 3 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 22 | 1 |
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| Citation Flow (Majestic) | 24 | 18 |
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| Referring domains (Majestic) | 72 | 4 |
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4 details filled in for both companies.
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