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Tsplat

Render Gaussian Splats directly in your terminal

Details

External ID
47762025
Source
HN
Company
—
Product
Tsplat
Website domain
github.com
Launched
April 14, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.38817480719794345
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Last week I wanted to quickly view some Gaussian splats which I had trained on a remote server that didn’t have any open ports or a display device. So I ended up downloading everything locally just to inspect the results This weekend I put together a terminal-based Gaussian splats viewer that renders directly in the terminal. It works over SSH and currently runs on CPU only and written in rust with claude code. I’ve found it to be pretty useful for quickly checking which .ply files correspond to which scenes and getting a rough sense of their quality.Along the way, I also wrote a small tutorial on the forward rasterization process for Gaussian splatting on CPUs

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
terminal renderer for gaussian splats
Manually corrected
False

Could you build this?

Partial Parsing 3D Gaussian splat files (.ply) and rendering them in a terminal via ANSI escape sequences requires complex mathematical rasterization and low-level graphics math. While an LLM can help with terminal output, writing an efficient 3D rasterizer in software requires real graphics programming competence.

What it would actually take: The stack involves C++, Rust, or Go with SIMD optimizations to read binary PLY splat data, project 3D ellipsoids to 2D screen coordinates, sort them by depth, and rasterize alpha-blended splats directly to an RGB ANSI/half-block terminal buffer. The hard part is optimizing the software projection and sorting pipeline so it renders at interactive framerates entirely in CPU or software compute. Requires graphics engineering expertise and deep knowledge of low-level rendering math.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one — 105 launches clear the similarity bar, closest 8 shown.

Attention rank: #72 of 106 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 162 days after the earliest competitor.

Other launches for this product

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