Sandcastles vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Sandcastles compared with Linum
| Detail | 
Sandcastles | 
Linum |
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| What it does | Create viral short-form videos in seconds
| Generative video models for animation
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Paid
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| Pricing | Pro: $49/month (billed monthly) or $39/month (billed yearly). Visionary: $99/month (billed monthly) or $79/month (billed yearly). Titan: $499/month (billed monthly) or $399/month (billed yearly).
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| Key features | - Customizable feed of successful channels from Instagram, TikTok, and YouTube
- Find top-performing viral outlier videos in any niche
- In-depth analysis of why videos went viral with hooks and storytelling frameworks
- Instant transcript downloads from any video
- AI-powered script writing using proven storytelling frameworks
- Hook template generation with millions of validated views
- Project organization to collect and manage winning video ideas
- Monthly credits system for analyzing videos, writing scripts, and generating reports
- Multiple workspace creation to organize content by niche
- Personal analytics tracking and competitor monitoring
| - Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
- 4× more aggressive token reduction than Linum v2
- Converges in 11× fewer samples than Linum v2
- 2B-parameter model with frozen Qwen text encoder
- Pixel-space diffusion with multi-resolution readouts
- PixelREPA alignment with DINOv3-L
- Curriculum learning over noise schedule
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| What makes it different | - Analyzes millions of videos daily to find top 1% outliers in every niche
- Data-backed storytelling frameworks based on billions of views
- All-in-one platform combining research, analysis, and script generation
- No social media account connection required to get value
| - Low-cost training: full 2B model trained for just $21K in compute
- Controls baked into model training rather than post-hoc fine-tuning
- Pixel-space compression without separate VAE bottleneck
- Apache 2.0 open release with full model weights and code
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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) | 48 ▲ +1 (up) since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 8 | 5 |
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| Citation Flow (Majestic) | 32 | 32 |
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| Referring domains (Majestic) | 151 | 397 |
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4 details filled in for both companies.
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