# Cardboard: an agentic video editor

Canonical: https://mudpie.ai/companies/cardboard/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [Cardboard: an agentic video editor](https://mudpie.ai/companies/cardboard/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

Cardboard is an agentic browser video editor for growth and marketing teams. Users give it footage and a goal, ask for a first cut or variants, search clips by meaning, refine the timeline and export captions, reframes, translations and polished video. The [YC profile](https://www.ycombinator.com/companies/cardboard) describes the problem as slow editing and review loops; the [current homepage](https://www.cardboard.ai/) shows the editor and creative utilities.

The fit is a team that has plenty of footage but cannot ship enough short-form, testimonial or launch video. Cardboard is not just a prompt-to-video tool. The useful part is the timeline editor, footage search and collaborative production context around generated cuts.

## Why I’d look closer

The product surface is concrete: find quotes, reactions and scenes across long footage; remove dead air; reframe for vertical, square and landscape; generate captions; translate and dub; clean audio; then direct the edit with prompts. Pricing is public. The [pricing page](https://www.cardboard.ai/pricing) lists Creator at $32/month, Pro at $120/month and Teams custom, with usage limits, extra credits from $10 and a three-day trial.

The founder context matches the technical challenge. The [YC biographies](https://www.ycombinator.com/companies/cardboard) describe Saksham Aggarwal with AI-product, evaluation and growth experience, and Ishan Sharma with high-performance browser systems, HackerRank and creative-tooling experience. The company says one hour of video can render in about five minutes; that is a company claim worth testing against real footage and export settings.

## What I’d ask

How does Cardboard preserve edit decisions, source clips and rights across a generated cut? I’d run one long interview and one multi-format campaign, measure first-cut quality and revision time, and inspect storage, model usage, caption accuracy and team collaboration before moving a production pipeline in.

## My editorial take

Cardboard is a strong fit for growth teams whose bottleneck is editing velocity, not idea generation. The browser-native editor and public pricing make a contained test easy. The proof is a faster path to a usable cut without sacrificing editorial control.

## Quick facts

| Field | Sourced detail |
|---|---|
| Buyer fit | Growth/marketing teams, serious creators and video editors |
| Public pricing | Creator $32/month; Pro $120/month; Teams custom |
| Core workflow | Search footage, first cut, reframe, captions, translation, audio and export |
| Performance claim | One hour of video rendered in around five minutes; company-stated |

## Sources checked

Checked 2026-09-19.

| Source | Used for |
|---|---|
| [YC company profile](https://www.ycombinator.com/companies/cardboard) | Product, founders and launch context |
| [Cardboard homepage](https://www.cardboard.ai/) | Current editor/features and performance claim |
| [Cardboard pricing](https://www.cardboard.ai/pricing) | Plans, limits and trial |
| [Cardboard blog](https://www.cardboard.ai/blog) | Public product/editorial surface |

## Cohort context

Cardboard is listed in Winter 2026. In our 2026-09-18 directory snapshot, 126 of 199 listed companies in that cohort have YC’s primary industry label B2B (63.3%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:20:07.007Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Observed |
| H1 or H2 heading | Observed |
| Typed structured data | Observed |
| Docs/developer link | Not observed in this response |
| Pricing link | Observed |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.