Nicheloom

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glance

Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.

Details

External ID
1379231715
Source
GITHUB
Company
—
Product
glance
Website domain
yohei.me
Launched
Sept. 21, 2026
Cohort
—
Upvotes
23
Upvotes percentile
0.6508455034588778
Tags
calibration, image-classification, vision-language-model, vlm, zero-shot
Fetched at
Sept. 25, 2026, 5:02 p.m.
Updated at
Sept. 25, 2026, 5:02 p.m.

Enrichment

Theme
ai video generation and editing tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local vision-language model query tool for developers
Manually corrected
False

Could you build this?

Partial The client application and basic VLM inference wrappers are easy to write, but extracting direct token log-probabilities and calibrated visual judgments from frozen local VLMs requires specific understanding of model logits, tensor extraction, and local GPU inference runtimes.

What it would actually take: The core tool relies on Python, PyTorch, Hugging Face Transformers, or vLLM/llama.cpp to expose raw logit probabilities of token generations against specific prompt templates. The hard part is logit normalization, probability calibration over constrained vocabulary spaces (e.g., boolean/numeric tokens), and managing local GPU/Apple Silicon memory efficiency. It requires machine learning systems familiarity with model internals beyond standard high-level text generation APIs.

Competitors

Other products that read as similar to this one — 213 launches clear the similarity bar, closest 8 shown.

Attention rank: #78 of 214 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 325 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a dev tools tool for Sales yet.