No product description has been published for this domain yet. Everything below is measured directly.
Video Generation & Editinghappy-horses.ioTracked since 2026-08-192 discovery sources
3.7KBacklinks
29Referring domains
18Domain authority
+61.1%Referring domains · 90 days
Authority & distribution
How strong is happy-horses’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
3.7KCurrent snapshot
Referring domains
29Current snapshot
Authority
18Domain authority · category median 22
90-day move
+61.1%Referring domains, last 90 days
At 18, happy-horses sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 137 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“happy-horses”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Video Generation & EditingSeen 2026-08-19 → 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://happy-horses.io/
Observed across 2 discovery sources.
Research questions
What the evidence answers about happy-horses.
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 HappyHorse and what problem does it solve?
HappyHorse is an open-source AI video generator that creates high-quality video with synchronized audio in a single pass. It simplifies AI tool selection by providing a unified architecture that generates both video and audio jointly, eliminating the need for separate post-processing steps.
What are the primary use cases for HappyHorse, and in what situations would I use it?
HappyHorse is used for generating cinematic videos and audio from text or images. It is suitable for creating content with dialogue, ambient sound, and Foley effects, supporting tasks like text-to-video, image-to-video, and reference-based video generation with multi-language lip-sync.
Who is HappyHorse designed for?
HappyHorse is designed for creators, developers, and researchers who need to generate high-quality AI videos. Its open-source nature and support for single-GPU deployment make it accessible for individual developers and teams building video content applications.
What are the key features and capabilities of HappyHorse?
HappyHorse offers a unified 15B-parameter Transformer architecture for joint audio-video generation, 8-step fast inference using DMD-2 distillation, native 7-language lip-sync, and support for resolutions up to 720p with durations up to 15 seconds. It includes text-to-video, image-to-video, and reference video/audio inputs.
How is HappyHorse priced or packaged?
HappyHorse operates on a credit-based system for generation. Generating a 10-second video at 480p costs 60 credits, while at 720p it costs 120 credits. The homepage offers a "Start Generating" option, suggesting a free trial or freemium model.
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 happy-horses intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 137.
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