Marlin-2B: a tiny VLM to extract structured information from videos
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HN · launched May 18, 2026 · 7 upvotes (top 58%) · 1 view
Niche: multimodal ai platforms and tools · 215 launches, 16 in the last 7 days ▼ -47% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
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More like this: all 215 launches in multimodal ai platforms and tools →
Could you build this?
No Marlin-2B is a custom-trained multimodal vision-language model (VLM) specifically tailored for video understanding, temporal grounding, and structured data extraction.
What it would actually take: Training such a model requires an extensive curated dataset of video-text pairs with fine-grained temporal timestamps and structured annotations. The architecture relies on PyTorch/Hugging Face transformers with custom spatio-temporal video tokenization/pooling layers and multi-stage pre-training/fine-tuning across substantial GPU clusters. Accomplishing this requires deep deep-learning research expertise, multimodal ML engineering, and tens of thousands of dollars in compute.
Discussion
2 comments analyzed.
Competitors mentioned: SAM3
Competitors
Other products that read as similar to this one : 2011 launches clear the similarity bar, closest 8 shown.
Attention rank: #1162 of 2012 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 200 days after the earliest competitor.
- Dragoneye: Production video detection models in <5 minutes · yc · 2025-11-25 · 11 upvotes · similarity 0.62
- HuRo · github · 2026-09-12 · 24 upvotes · similarity 0.61
- DASA · github · 2026-10-13 · 29 upvotes · similarity 0.60
- worldflow · github · 2026-10-29 · 17 upvotes · similarity 0.59
- ml-lensvlm · github · 2026-09-22 · 75 upvotes · similarity 0.59
- jevreel · github · 2026-10-15 · 34 upvotes · similarity 0.59
- 30min video analysis for $0.003 via frame-tiling and Vision API · hn · 2026-01-18 · 7 upvotes · similarity 0.59
- Elah · hn · 2026-06-09 · 5 upvotes · similarity 0.58
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