Cardboard

Agentic video editor

2.8Score#398 of 999 agents#13 of 25 in Video and audio producer

Why it ranks #398

Cardboard, an AI video and audio producer from YC W26, ranks #398 of 999 AI agents and #13 of 25 in Video and audio producer, with a score of 2.8 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 0 × 30% 0.0
Scale 3 × 30% 0.9
Momentum 4 × 25% 1.0
Autonomy 6 × 15% 0.9
= 2.8

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
3
8 people.
- +3
  8 people on its YC page5 to 9 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
4
Shows hiring and a new batch.
- +3
  Hiring: 5 open rolesBackend Engineer, Senior Applied ML Engineer, Evals & Data, Founding DesignerYC page
- +1
  New: YC Winter 2026
Not found: launch YC post in the last 6 months (+3), new traction claim in the last 6 months (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 15% likely
- Finishes whole tasks: 22% likely
- Calls itself an agent: 97% likely
- Level 1 from the model's reading of its pages; the evidence review found, with quotes, that its AI acts in the work, so the level is 2
Level 2: Takes actions in other systems; a person approves key steps.

About Cardboard

Cardboard is an agentic video editor for growth/marketing teams and serious creators who need to ship videos consistently. Instead of agencies, long timelines, and infinite review cycles, teams give cardboard a footage + a goal (“3 variants”, “30s hook”, “testimonials”) to get a strong first cut in minutes on which they can iterate quickly.

Multimodal LLMs can finally reason over footage, and WebGPU/WebCodecs make a real NLE possible in the browser. For the first time, an “AI director” inside a professional editor can be a reality.

We have to build two hard things at once: a high-performance editor in the browser and an agentic editor that is reliable for production use cases. Most startups do one; incumbents can’t rebuild their stack without breaking everything.

Saksham and Ishan met in school and have known each other since 15 years. Saksham was Co-founder/CTO of Iterate AI (backed by EF) and posts content on social media; Ishan has spent ~5yr building memory-heavy, performance-critical browser apps at HackerRank (S11) and deeply understands browsers. He has built Hotspoter (5M+ downloads) when he was 14.

Together, we’re unusually suited to build the editor core others avoid.

Video is becoming the default distribution channel, and the team that iterates fastest compounds attention. Cardboard becomes the default workspace for video production, the way Canva/Figma became the workspace for design - because it’s collaborative, fast, and does the tedious parts for you.