haasiy

4 ms·

1.
by haasiy 9mo ago
VAM Seek AI Convert video to a grid image. Show AI the entire video in one frame. Problem: Analyzing 10 min video at 1fps = 600 API calls = expensive Solution: Compress 48 frames into one grid = 1 API call = ~600x cheaper Features: "Wh
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Show HN: 30min video analysis for $0.003 via frame-tiling and Vision API(github.com)
7 points by haasiy 9mo ago|2 comments
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Show HN: Video-to-Grid – Analyze videos with one Vision API call(github.com)
6 points by haasiy 9mo ago|0 comments
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by haasiy 9mo ago
Your point was certainly valid. I reviewed the Readme and reexamined the code. I would greatly appreciate it if you could evaluate it again with your own eyes.
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by haasiy 9mo ago
Greetings from Japan! Thank you for the insightful feedback. I’m a Japanese developer with a 30-year design background. My English isn't perfect, but I want to share my vision. The "hybrid mode" I mentioned is still my core p
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by haasiy 9mo ago
The discussion here has been helpful for technical nuance. For those interested in the practical adoption and impact, a startup outlet covered the project's approach and real-world use-case for SaaS platforms here: https://e
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by haasiy 9mo ago
なるほど、そこを引き合いに出すということはオレの反論に返す言葉が無いってことか？ Aiの言葉がトークンがコードが、どうこう言うからあえて母語で伝えてやるよ。しょうもないクレームにAIを使うのは今や世界標準だぜ？皮肉にもｗ
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by haasiy 9mo ago
I have to stand my ground here. Reducing a complex functionality into 15KB is not just about 'generating code'—it's about an architecture that AI cannot conceive on its own. My role was to architect the bridge between UI&#x2F
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by haasiy 9mo ago
I’ve read all your feedback, and I appreciate the different perspectives. To be honest, I struggled a lot with how to build this. I have deep respect for professional craftsmanship, yet I chose a path that involved a deep collaboration with
10.
by haasiy 9mo ago
Love the setup! A 2012 machine is a classic. To answer your question: VAM-Seek doesn't pre-render the entire 60 minutes. It only extracts frames for the visible grid (e.g., 24-48 thumbnails) using the browser's hardware accelerati
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by haasiy 9mo ago
Exactly. I view this cache similarly to how a browser (or Google Image Search) caches thumbnails locally. Since I'm only storing small Canvas elements, the memory footprint is much smaller than the video itself. To keep it sustainable,
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by haasiy 9mo ago
Actually, I started with the precomputing approach you mentioned. But I realized that for many users, setting up a backend to process videos or managing pre-generated assets is a huge barrier. I purposely pivoted to 100% client-side extract
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by haasiy 9mo ago
I intentionally used AI to draft the README so it's optimized for other AI tools to consume. My priority wasn't 'polishing' for human aesthetics, but rather hitting the 15KB limit and ensuring 100% client-side execution.
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Show HN: VAM Seek – 2D video navigation grid, 15KB, zero server load(github.com)
42 points by haasiy 9mo ago|18 comments