Startupsby GlyphWhy it ranks
How the rank works- went through YCProgram · this site+4
- team of 3Team size · YC's directory+3.1
- hiringHiring · Titles (titles.fru.dev), YC+2
A sum of public facts, not a judgement and not investment advice.
Competitors
| Company | Category | Status | Program |
|---|---|---|---|
| Other | Acquired | YCS20 | |
| Other | Acquired | YCS20 |
Adjacent
| Company | Category | Status | Program |
|---|---|---|---|
| AI | Active | YCW23 | |
| AI | Not stated | EF2022 | |
| Devtools | Not stated | Plug and Play | |
| sonanticShared: hyper realisticEF 2019Not statedAI | AI | Not stated | EF2019 |
| AI | Active | YCW24 |
Also from W25
All of W25| Company | Category | Status |
|---|---|---|
| AI, Devtools | Active | |
| AI, Data | Active | |
| AI, Devtools | Active | |
| AI, Devtools | Active | |
| AI, Devtools | Active | |
| AI, Data, Devtools | Active |
About Lucid
We are building universe simulations powered by interactive video models. We train video models that simulate hyper-realistic environments with immersive control, replacing hard-coded game or physics engines with dynamic neural networks. We built the fastest action-conditioned diffusion video model (running at 20+fps on a 4090 gaming gpu) to simulate minecraft. It is 5x faster than other minecraft World Models and was trained with 100x less resources. Our unique insight was relying on aggressive compression in our tokenizer (128x versus the traditional 8x), and because attention scales quadratically with # of tokens our model can run blindingly faster. Now we’re training a hyper realistic world model!
- YC batch
- W25 · Winter 2025
- Status, per YC
- Active
- Category
- Other
- Team size
- 3
- Location
- San Francisco, CA, USA
- Checked
- 6h ago
Lucid: questions
Which YC batch was Lucid in?
Lucid was in Y Combinator's Winter 2025 batch (W25).
Is Lucid still active?
Y Combinator lists Lucid as active.
Where is Lucid based?
Lucid lists San Francisco, CA, USA as its location on YC's directory.