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Market/Categories/Video Generation & Editing/Trash

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Trashtrash.app

Trash is an AI-powered video editing app that automatically generates a rough cut from your video clips in seconds, allowing for quick edits and tweaks.

Video Generation & Editingtrash.appTracked since 2026-08-211 discovery source
774Backlinks
251Referring domains
18Domain authority
-15.2%Referring domains · 90 days

Authority & distribution

How strong is Trash’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

774Current snapshot

Referring domains

251Current snapshot

Authority

18Domain authority · category median 22

90-day move

-15.2%Referring domains, last 90 days
At 18, Trash sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Trash ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Trash traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Trash is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Trash”

Trash is an AI-powered video editing app that automatically generates a rough cut from your video clips in seconds, allowing for quick edits and tweaks.

Video Generation & EditingSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://trash.app

Observed across 1 discovery source.

Research questions

What the evidence answers about Trash.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What is the core function of the Trash app?

Trash is an AI-powered video editing app that automatically generates a rough cut from your video clips in seconds. It uses AI to create a video you can then tweak.

What problem does Trash solve for its users?

Trash solves the problem of time-consuming video editing by automating the initial creation of a rough cut. It allows for quick edits and tweaks after the AI generates the base video.

Who is the target audience for the Trash app?

Trash is designed for creators, as indicated by the 'Creator Spotlight' section on its homepage. Its tags include Video Creation, Content Creation, and Digital Marketing.

What key features does the Trash app offer?

Trash offers a 'one tap video' workflow where you shoot or select clips, tap one button, and get an instant video. It uses AI to generate a rough cut and is described as 'photo filters for video'.

What is Trash?

Trash is an AI-powered video editing app that automatically generates a rough cut from video clips. Its tagline is 'One Tap Video'.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Trash intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured