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Range

open a 1TB Linux environment in under a second

Details

External ID
49908611
Source
HN
Company
—
Product
—
Website domain
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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.

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