Cardboard

Product & Competitive Intelligence

Lets teams edit professional video through natural language commands in the browser, no NLE needed.

Company Overview

AI-powered, browser-based video editor that uses multimodal LLMs and agentic AI to let users edit professional video through natural language commands, automated clip selection, and real-time collaboration. Runs natively in the browser via WebGPU and WebCodecs.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

Browser-based professional editing with natural language commands, automated captioning, cloud collaboration, and export to Premiere Pro/DaVinci Resolve. Tiered pricing (Creator $60/mo, Pro $150/mo, Teams custom). Highest upvoted Hacker News launch in YC W26.

Signals & Private Analysis

Pricing tiers suggest enterprise/agency sales motion. 'Early access to new models' on Pro tier hints at proprietary model development. Lean engineering team focused on core AI R&D. Likely plugin/agent extensibility architecture.

Product Roadmap Priorities

Natural Language Video Editing
Improving
Product Differentiation
Product

AI interprets plain-English editing commands and autonomously executes complex timeline operations on video projects.

In Plain English

Instead of clicking through menus and dragging clips on a timeline, you just tell the editor what you want in plain English and it does it for you.

Analogy

It's like having a film editor sitting next to you who instantly understands "make it punchier" without you ever touching the Avid.

Automated Highlight Extraction
Improving
Cost Reduction
Operations

AI analyzes raw footage to automatically identify and extract the best moments, generate highlight reels, and sync edits to music.

In Plain English

The AI watches all your raw footage, picks out the best moments, and assembles a polished highlight reel before you've even finished your coffee.

Analogy

It's like hiring an intern who actually watched all 47 hours of your conference footage and somehow picked the only five minutes worth posting.

Semantic Video Search
Improving
Decision Quality
Data

AI enables users to search across all uploaded footage by describing what happened in the video, not by filenames or timestamps.

In Plain English

Instead of scrubbing through hours of footage looking for "the part where she holds up the product," you just type that and the AI finds it instantly.

Analogy

It's like Google Search, but instead of searching the internet, you're searching your own chaotic mountain of unedited footage—and it actually works.

Company Overview

Key Team Members

  • Saksham Aggarwal, Co-Founder & CEO
  • Ishan Sharma, Co-Founder & CTO

Saksham and Ishan have known each other for 15 years. Saksham built AI products at Iterate AI and published at ACL. Ishan spent 4.5 years building high-performance web apps at HackerRank and built Hotspoter (5M+ downloads) at age 14. Together they can build the complex browser-native editor core others avoid.

Funding History

  • 2024 | Saksham Aggarwal and Ishan Sharma co-found Cardboard.
  • 2024 | $2.12M Seed from 3 investors.
  • 2026 | Accepted into Y Combinator W26 batch.
  • 2026 | Highest upvoted HN launch in YC W26.

Competitors

  • Professional NLEs: Adobe Premiere Pro, DaVinci Resolve, Final Cut Pro.
  • AI-Native Editors: Descript, Runway, Kapwing, Opus Clip.
  • Browser-Based: Clipchamp (Microsoft), Canva Video, WeVideo.
  • Emerging AI: Captions, Vizard.ai.