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OneJev

🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.

Details

External ID
1390958360
Source
GITHUB
Company
—
Product
OneJev
Website domain
github.io
Launched
Sept. 27, 2026
Cohort
—
Upvotes
70
Upvotes percentile
0.8252626184985908
Tags
calibration, computer-use, decision-model, gui-agent, huggingface, jev, llm, multimodal, pytorch, qwen, system-one, typesafe, video-understanding, vision-language-model, vlm
Fetched at
Oct. 1, 2026, 1:01 a.m.
Updated at
Oct. 1, 2026, 1:01 a.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
multimodal decision model for screen, image, video, and text analysis
Manually corrected
False

Could you build this?

No Building custom multimodal decision models (ranging from 0.8B to 27B parameters) requires extensive ML research, massive video/screen/image datasets, and large-scale GPU training infrastructure.

What it would actually take: Training such a model requires a custom architecture based on Vision-Language Models (e.g., Qwen-VL or similar backbones) fine-tuned on custom task trajectories and multi-choice decision distributions using PyTorch and DeepSpeed/Megatron-LM. The primary challenge is curating hundreds of thousands of aligned multimodal interaction states and building an inference engine to extract calibrated logits in a single forward pass without autoregressive generation. Substantial capital and ML engineering expertise for multi-node GPU cluster training are strictly necessary.

Competitors

Other products that read as similar to this one — 380 launches clear the similarity bar, closest 8 shown.

Attention rank: #93 of 381 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 331 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.