Alternatives
Products that do what CineCinch does
Find bloated videos by MB/sec and compress them with H.265
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While building a Retrieval-Augmented Generation (RAG) system, I was frustrated by my vector database consuming 8GB RAM just to search my own PDFs. After incurring $150 in cloud costs, I had an unconventional idea: what if I encoded my documents into video frames? The concept sounded absurd—storing text in video? But modern video codecs have been optimized for compression over decades. So, I converted text into QR codes, then encoded those as video frames, letting H.264/H.265 handle the compression. The results were surprising. 10,000 PDFs compressed down to a 1.4GB video file. Search…
2025 · github.com
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I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my…
Jun 2026
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Gemini Embedding 2 can project raw video directly into a 768-dimensional vector space alongside text. No transcription, no frame captioning, no intermediate text. A query like "green car cutting me off" is directly comparable to a 30-second video clip at the vector level. I used this to build a CLI that indexes hours of footage into ChromaDB, then searches it with natural language and auto-trims the matching clip. Demo video on the GitHub README. Indexing costs ~$2.50/hr of footage. Still-frame detection skips idle chunks, so security camera / sentry mode footage is much cheaper.
Mar 2026 · github.com
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This is a long-running project that started as the proverbial need to scratch my own itch and then somehow evolved into a full-time job of the past 6 years. Link: https://bvckup2.com I thought I'd do a Show HN for two reasons. 1. I obviously want to show my baby to those who haven't seen it. Its primary purpose is to do very fast file replication. If you are familiar with "robocopy /mir" - same idea, but on steroids. Lots of them. It can be used for both mirroring and archiving backups, among other things. It is light, very small and it is really quite fast. Half of the…
2019 · bvckup2.com
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2021 · acailly.github.io
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I've been working on this Claude Code pipeline for making 10-minute movies, gluing together Seedance (videogen), Nano Banana (image gen), and ElevenLabs (voice gen), and using Claude as the director. My repo contributes a markdown playbook and a worked example which should make it easier for other people to make their own short movies. A first-pass movie takes around 2.5 hours of wall clock time and costs around $200, and iterating is easy thanks to intermediate artifacts like storyboards and voice samples.
Jul 2026 · github.com
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Your pics converted & compressed to multiple formats locally
2024
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2016 · compressify.herokuapp.com
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Compress up to 10GB videos. No upload needed.
23d ago · vdocipher.com
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Hey HN! I created HEVCut, an iOS app that helps save iCloud storage by compressing videos into HEVC format with optimized metadata. It’s a straightforward solution for reducing video file sizes significantly (up to 50% or more), which speeds up load times and keeps quality high. I built it after struggling to manage my iCloud storage, especially with videos, and wanted something that didn’t rely on complex settings or third-party cloud services. How It Works: HEVCut performs local re-encoding to HEVC (H.265) while optimizing metadata. By default, it reduces resolution to Full HD for even…
2024
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2022 · github.com
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Thought I'd dive into this cool streaming/approximation algorithms problem I encountered a few months ago. TLDR: we can create our own custom floating point representation for encoding and decoding integers and use this to index into a tiny 2D histogram, upper-bounding approximation error based on the number of bits per integer we specify to keep. --- Broadly useful for aggregating statistics from massive data streams of user data. Also turns out this is incredibly similar to data structures used in production, like HDRHistogram.
Jan 2026 · alexkranias.com
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Free video compressor. Files never leave your device.
Apr 2026 · compressyourvideo.com
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