Products
AI Benchmark
Desktop
Mobile
Monthly visits
70.8K
Up18.6%MoMSep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Emil Ernerfeldt
No social account linked+3 more creators
Launched
3y ago
2023-02-15 · Est.

Traffic

Monthly visitsData through Sep 2026 · Oct 2026 pending
Events5 changes · 1 marketing move

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Show HN (4 pts)Launch

    Your 3D Scan Labels Are Trash — I spent a bunch of time digging into the ARKitScenes dataset and built a pipeline that takes as input the raw data (arkit poses/low resolu…

    Aug 18 · 3mo agoLaunch page

    At the time: 82K visits/moVisits: next 2 mo -14%
  • Launched on Show HN (5 pts)Launch

    Egocentric and Exocentric Body Caputre from iPhones only — From 8 -> 5 -> 4 exocentric cameras, all visualized with rerun.io. I've been working on human pose capture for robotics training data and…

    Oct 10, 2025 · 13mo agoLaunch page

  • Launched on Show HN (4 pts)Launch

    Multiview Hands Only Pose Estimation — Hands‑only multi‑view hand pose pipeline with a browser demo in Rerun. Outputs: per‑view 2D keypoints + boxes, 3D keypoints, MANO joint an…

    Sep 30, 2025 · 14mo agoLaunch page

  • Launched on Show HN (2 pts · 1 comments)Launch

    Building a self collected multiview mocap studio for robot training — MVP of Multiview Video → Camera parameters + 3D keypoints. The basic pipeline as of right now looks like this: 1. Capture – Using 4 iPhone…

    May 9, 2025 · 18mo agoLaunch page

  • Launched on Show HN (1 pts)Launch

    Camera Calibration Using VGGT — Continuing with my robot training collection pipeline, one of the challenges has been obtaining calibrated cameras from sparse multi-view…

    Mar 25, 2025 · 20mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2024-12-20Source
Post excerpt:
Rerun 0.21 comes with a new graph viewer that's written in Rust and runs in the browser via wasm. It's powered by a new force based layout engine that is a port of much of d3-force to Rust. (The release also contains some other cool stuff like undo/redo implemented on top of a timeseries DB.) We built this with applications in robotics and spatial computing
Show HN
2025-03-18Source
Post excerpt:
I’m developing a straightforward method to collect first-person (ego) and third-person (exo) data for robotic training. I’ve been using the HO-cap dataset to establish a baseline, and here are some updates I’ve made: * added in MANO parameters * added TSDF fused mesh from realsense camera to better visualize dataset and potentially set the stage for a gsplat
Show HN
2025-03-25Source
Post excerpt:
Continuing with my robot training collection pipeline, one of the challenges has been obtaining calibrated cameras from sparse multi-view inputs. I previously worked with Dust3r but found its accuracy insufficient for generating reliable camera parameters. Recently, Meta released VGGT—Visual Geometry Grounded Transformer—which improves both inference speed a
Show HN
2025-05-09Source
Post excerpt:
MVP of Multiview Video → Camera parameters + 3D keypoints. The basic pipeline as of right now looks like this: 1. Capture – Using 4 iPhones and an Insta360 Go. iPhone videos are captured via Final Cut Pro Multicam for easy sync and the exocentric view; the Insta360 Go is used for the egocentric view. 2. Sync – Custom Gradio app using two @rerundotio viewers
Show HN
2025-09-30Source
Post excerpt:
Hands‑only multi‑view hand pose pipeline with a browser demo in Rerun. Outputs: per‑view 2D keypoints + boxes, 3D keypoints, MANO joint angles & shape (all predictions, not GT). Four stages: camera estimation → shape calibration → 2D keypoints → pose optimization. Known issues: not real‑time (~5 min for 30s/8 views on a 5090), too many cameras (target: 2 exo
Show HN
2025-10-10Source
Post excerpt:
From 8 -> 5 -> 4 exocentric cameras, all visualized with rerun.io. I've been working on human pose capture for robotics training data and have started making it more accessible by dropping the number of cameras used and collecting my own data to make sure I'm not overfitting to open-source datasets. I've made lots of improvements to the calibration code and

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-11-04
GitHub Stars
★ 2,009
Forks
195
License
Apache-2.0 OR MIT
Primary language
Python

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct41%
  • Organic Search31%
  • Referrals22%
  • Social5%
  • Other2%

Countries

  • United States26%
  • India10%
  • United Kingdom6%
  • Vietnam5%
  • South Korea5%

Search

Domain authority —Domain registered 2017-10-27

KeywordMonthly volume
rerun9,280
rerun robotics440
rerun log350
ai 3d tracking rust egui project200
rerun python librayr uses110

Traffic data: Vaneform

Pricing

SDK
Free
Hub
Contact sales

Trial: None · Enterprise custom tier · Observed 2026-11-03 · Pricing page

Pages & changes

Tracked since 2023-02-15

Key pages

Weekly snapshots

Changes

  1. Nov 1 · 13d ago

    Homepage headline (H1) changed to “The Data Layer for Physical AI”Positioning

    Rerun→The Data Layer for Physical AI

  2. Nov 1 · 13d ago

    Adopted technology: Apple iCloud MailFeatures

    —→Apple iCloud Mail

  3. Nov 1 · 13d ago

    Adopted technology: Tailwind CSSFeatures

    —→Tailwind CSS

  4. Nov 1 · 13d ago

    Adopted technology: Three.jsFeatures

    —→Three.js

  5. Nov 1 · 13d ago

    Homepage title changed to “Rerun | The Data Layer for Physical AI”Positioning

    Rerun — Rerun→Rerun | The Data Layer for Physical AI

Design

First-screen visual analysis & :root CSS

3D Tactile (Light canvas, airy density) featuring centered headline + cta layout and 3d render / tactile object visuals.

First-screen preview · click to zoom

First-screen pitch & conversion flow

“The Data Layer for Physical AI”

Centered Headline + CTA hero structure paired with download app / install extension CTA and no explicit trust bar.

Conversion path: Centered Headline + CTA + 3D Render / Tactile Object → Download App / Install Extension

  • Category Positioning Anchor

Palette · click to copy

5-D design score7.8 / 10
Typography
7.0
Color & Contrast
8.0
Layout & Spacing
8.0
Craft & Polish
8.0
Distinctiveness
8.0

Structure

Fonts
Arial / monospace
Primary visual
3D Render / Tactile Object
Social proof
No Explicit Trust Bar
Navigation
Full-Width Top Bar
Theme & density
Light · Airy
Corners & depth
Small Radius · With shadow
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: 3D Tactile (with Minimal Monochrome)

Rendered 3D objects, soft studio lighting, and tactile material depth.

## Design Tokens

```css
:root {
  --background: #ffffff;
  --surface: #f4f4f4;
  --foreground: #0a0a0a;
  --muted-foreground: #626262;
  --accent: #70c5d0;
  --radius: 4px;
  --font-heading: "Arial", ui-sans-serif, system-ui, sans-serif;
  --font-body: "Arial", ui-sans-serif, system-ui, sans-serif;
  --font-mono: "monospace", ui-monospace, monospace;
}
```

Color area ratio: Background #FFFFFF (~79%) · Surface #F4F4F4 (~6%) · Text #0A0A0A (~4%) · Muted Text #626262 (~3%) · Accent #70C5D0 (~8%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.

## Layout & Conversion Structure

- Hero layout: Centered Headline + CTA
- Navigation: Full-Width Top Bar
- Theme & density: Light · Airy
- Border radius & elevation: Small Radius; use elevation shadows to separate layers
- Primary visual medium: 3D Render / Tactile Object
- Conversion CTA: Download App / Install Extension
- Headline hook: Category Positioning Anchor
- Spatial layout notes: Centered Headline + CTA hero structure paired with download app / install extension CTA and no explicit trust bar.
- Visual summary: 3D Tactile (Light canvas, airy density) featuring centered headline + cta layout and 3d render / tactile object visuals.

## Avoid

- Flat unstyled wireframes
- Cluttered text walls competing with the 3D focal point

Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.

Questions & evidence

How much does Rerun cost?
SDK: Free; Hub: Contact sales. Observed 2026-11-03. Check the source for current billing terms, usage limits and taxes.Source
How much website traffic does Rerun get?
Vaneform estimates 70.8K website visits in 2026-09. Visits can include repeat visits; this estimate does not measure paying customers or revenue.Source

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