Rerun
The Data Layer for Physical AI
rerun.io Source★ 2,009Apache-2.0 OR MIT DiscordAI Models & Agents / Training Data & Labeling
- Monthly visits
- 70.8K
- Up18.6%MoMSep 2026
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- Free
- No monthly subscription pricing
- Launched
- 3y ago
- 2023-02-15 · Est.
Traffic
Marketing moves
Launches, search & content, referrals, promotions- Rerun in the wild 🌿 引用帖 @jacobvm04: when LaMAria was introduced a year ago, Meta's closed-source Aria SLAM was far ahead of academic systems. one year later, we've surpassed it in 3/5 categories: medium, long, and low light. here's what
@rerundotio · 2026-11-04 · 12 likes · 0 reposts · 1,043 views
- 3/4 Time-series plots now show all visible series in one tooltip. Raw data-point markers can stay visible. Cursor-relative ranges keep following playback after zooming or panning.
@rerundotio · 2026-09-22 · 1 likes · 0 reposts · 219 views
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- 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
- 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
- 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
- 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
- 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
- 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 Stars
- ★ 2,009
- Forks
- 195
- License
- Apache-2.0 OR MIT
- Primary language
- Python
Traffic sources
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
| Keyword | Monthly volume |
|---|---|
| rerun | 9,280 |
| rerun robotics | 440 |
| rerun log | 350 |
| ai 3d tracking rust egui project | 200 |
| rerun python librayr uses | 110 |
Traffic data: Vaneform
Pricing
Trial: None · Enterprise custom tier · Observed 2026-11-03 · Pricing page
Pages & changes
Key pages
Weekly snapshots- Homererun.io/
- Pricingrerun.io/pricing Snapshot 2026-11-03
- Featuresrerun.io/product Snapshot 2026-11-03
Changes
Design
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
- Typography
- 7.0
- Color & Contrast
- 8.0
- Layout & Spacing
- 8.0
- Craft & Polish
- 8.0
- Distinctiveness
- 8.0
Structure
- Fonts
- Arial / monospace
- Hero layout
- Centered Headline + CTA
- Primary visual
- 3D Render / Tactile Object
- Conversion CTA
- Download App / Install Extension
- 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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