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8,409 products · 40,341 snapshots
Google EmbeddingGemma 2

Google EmbeddingGemma 2

Notable signal

An open, lightweight multimodal embedding model

Launched 8h ago
Signal
60
Velocity
0

What this means

32%Mid-tier finish likely.
Projecting attention of 153 by end of day-1.
Low discussion activity despite the attention.
Audience is voting but not engaging — could signal weak product-market fit.

Prediction

Top-5 finish probability
32%
today
Projected end-of-day votes
153range 115–207
Trajectory
stable
Not enough snapshots yet to detect trajectory.

About

EmbeddingGemma 2 is Google DeepMind's open embedding model that maps text, code, images, video and audio into one shared space, so you can search across them from a single query. At 740M parameters it runs on-device, needing about 567MB of RAM on a Pixel 11 Pro for the full multimodal model (191MB for text only). Apache 2.0 licensed, with weights on Hugging Face and Kaggle. MTEB Code score rises from 68.76 to 78.68.

AI Summary

Google EmbeddingGemma 2 is an open multimodal embedding model that integrates text, code, images, video, and audio into a unified search space. It features 740 million parameters, requires approximately 567MB of RAM on a Pixel 11 Pro, and is available under the Apache 2.0 license.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement1
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
125/8
Timeliness5%100
carried 7%
Novelty15%61
carried 20%
Trend20%35
carried 27%
Business15%1
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking2 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring13% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Rohan Chaubey
@rohanrecommends · hunter

Topics

Artificial IntelligenceAudioVideo