Magic Whiteboard - Dragons Den Winners - The Original & Best

Neil Westwood · 1.1M views · 2008-09-14 · 9:59

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Neil and Laura Westwood pitch their Magic Whiteboard, reusable static-cling whiteboard sheets, to the investors on the BBC's Dragons' Den and win 100,000 pounds of investment.

On Hacker News

Mentioned as a UK example of a whiteboard product that took off after a Dragons' Den appearance, in threads about whiteboard products.

Discussed on HN; no positive recommendation is recorded in this export · HN mentions 2010–2013

Topics

Startups & entrepreneurship Product, marketing & sales

What people said

teh_klev · 2013-06 · Reference
The folks at Magic Whiteboard in the UK have a good half way house product if you didn't fancy painting the walls: [LINK] They also do a clear version: [LINK] I remember seeing them on the BBC's Dragon's Den and winning over Deborah Meaden and Theo Paphitis: [VIDEO]
Read the original HN comment ↗

miles · 2012-06 · Reference
Magic Whiteboard is pretty cool too: [LINK] It's basically a roll of big white sheets that stick to walls without adhesive. They're also erasable/reusable. Took off after appearing on Dragon's Den (a TV show where entrepreneurs pitch their ideas to investors): [VIDEO]
Read the original HN comment ↗

singular · 2010-03 · Reference
Seems very similar/identical to Magic Whiteboard - [LINK] - a UK product that was featured on the UK version of dragon's den - [VIDEO] - is Whiteyboard a completely separate company or have Magic Whiteboard not yet got a US patent?
Read the original HN comment ↗

Sources

Video by Neil Westwood, played through YouTube.

HN Library · Source license

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks

SaaS & AI candidates: Matches the configured criteria
Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources