We beat Gemini Embedding 2 by training only 16M params (open weights)
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HN · launched Jul 10, 2026 · 7 upvotes (top 60%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
No This is machine learning research involving training cross-modal projection connectors between frozen vision-language models and audio encoders to achieve state-of-the-art embedding alignment.
What it would actually take: Building this requires designing a multimodal embedding architecture using PyTorch, contrastive learning objectives (InfoNCE), and curated multi-modal paired datasets (audio-text, audio-image). Training requires a multi-GPU compute cluster (A100/H100s) and deep expertise in representation learning, modality alignment, and embedding optimization (e.g., Matryoshka representations).
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 91 launches clear the similarity bar, closest 8 shown.
Attention rank: #45 of 92 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 237 days after the earliest competitor.
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- Gemini Embedding 2 · ph · 2026-03-11 · 241 upvotes · similarity 0.40
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