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I run a vision model on every screenshot, locally, on a 4GB GPU

This project utilizes a vision model to analyze every screenshot taken, running locally on a 4GB GPU

AI Tools·Launched Jun 2026·Profile + Activity 21.8·0 upvotes·github.com

LivenessActiveRank#157 of 1000Last commit—SO tag heat—Press sentiment 7d—Hiring—Cohort 20260.0 WoW

What it is

This project utilizes a vision model to analyze every screenshot taken, running locally on a 4GB GPU. It aims to provide insights and automate tasks based on the screenshot content. The model is designed to work efficiently with limited resources.

Signal score

vs category avg: +9.1

21.80.0 WoW

Funding history

No disclosed funding rounds yet. SEC EDGAR + press scrape runs weekly.

Moat

Defensibility not yet classified. Weekly moat enrichment runs Sundays.

Press mentions

0 lifetime · 0 shown

No press mentions found.

Discussion 0 comments

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Vitalslive · 15:23 UTC

Profile + Activity

21.8

profile only

limited data

Rank in cat

#157 / 1000

Upvotes

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Press 30d

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Founders

Not yet researched. Weekly founder enrichment runs Sundays.

Liveness probedaily 04:30 UTC

Active · 200 OK

github.com · last 18:59 UTC

Probe history · 4 probes

Jun 14latest

GitHub activitydaily 04:15 UTC

Last commit

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Last release

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Open PRs

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Open issues

Contributors 30d

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Closed 30d

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ayushh0110/ScreenMind·★ 82·3 forks

Stack Overflow tag heat

SAMPLE · NOT LIVEweekly Sun

Category tags · 30d / lifetime ratio

large-language-model

0.59%

openai-api

0.035%

langchain

0.14%

huggingface

0.057%

Category heat (avg)—

Press sentiment · 7d rollinghourly

No press mentions in the last 7 days.

Cohort survival · Class of 2026weekly

225 products launched in 2026 · 100% still active

225 active0 sunset

Still active

100%

Median lifespan

4.9y

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