Range
open a 1TB Linux environment in under a second
Details
- External ID
- 49908611
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Sept. 30, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.13020030816640987
- Tags
- —
- Fetched at
- Oct. 1, 2026, 5:01 p.m.
- Updated at
- Oct. 1, 2026, 5:01 p.m.
Description
Hi HN. My name is Andrey.Range lets you open a Linux environment of any size without downloading it first.Let me just show you what i mean by that.Example 1. Any docker image.Say i want to test something with Python 3.12 $ range shell python:3.12 This will download the image and index all the layers, but this happens only once (same as docker pull). The fun part is the second run: $ range shell python:3.12 Range environment Artifact python:3.12 Logical size 1.35 GB Runtime darwin/arm64 Workload interactive Profile 4 prior sessions Ready 2.82 s root@range:/# python3 --version Python 3.12.14 You are inside in 2.82 seconds. Now, say you want python:3.13 after that. Since 3.12 and 3.13 have common layers: $ range shell python:3.13 Indexing python:3.13, layer 5/7, 6.20 MB, once Indexing python:3.13, layer 6/7, 26.89 MB, once Indexing python:3.13, layer 7/7, 249 B, once ... root@range:/# python3 --version Python 3.13.15 You are in! We only downloaded 30MB out of 400MB simply because Python 3.12 and 3.13 share the first 4 layers.Example 2. I don't want to download at all. $ range shell https://github.com/andreygrehov/range/releases/download/demo/go1.23-arm64.range [1.85 second later] root@range:/go# go version go version go1.23.12 linux/arm64 .range is my own format. The filesystem is already indexed, so there is nothing for you to index, therefore almost nothing to download (above example - 6MB out of 1GB). I plan to index top NN docker images so that you don't have to download anything on the first run ever.See https://getrange.sh to learn more :)github: https://github.com/andreygrehov/range
Enrichment
- Theme
- file transfer and sharing tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- instant-boot large linux environments for developers
- Manually corrected
- False
Could you build this?
No Instant mounting of arbitrary multi-gigabyte or terabyte container layers requires deep systems engineering, custom FUSE filesystems, and specialized network block storage.
What it would actually take: Requires an on-demand block or chunk streaming architecture similar to eStargz, CernVM-FS, or AWS Lambda microVM snapshotting. The backend needs a custom userspace FUSE filesystem or Linux kernel block driver that lazy-loads image layers over the network on page fault, paired with distributed edge caching infrastructure. Deep Linux systems programming, kernel internals, and distributed systems expertise are strictly required.
Discussion
No comments on this launch.
Competitors
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- No competitors found.
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Same idea, different domain
Nobody's really built a dev tools tool for Sales yet.