Universe/Audio/Speech/Kitten ML
Venture candidateAutomated record

Kitten ML

Emerging specialist

Rising signal43.9
Rising rank#61
Profile completeness43%
Last public activityAug 19, 2026
01

Usage, audience and developer pull

72.4KHF model downloads9K per model
434HF followers946 total likes
15.5KGitHub stars900 forks
8Model portfolio0 datasets · 1 Spaces

Emerging specialist

  • Early public signal
02

What it publishes

Audio/Speech
Top tasks
Not classified
Model sizes
Unknown (8)
Base families
Not declared
Libraries
kittentts
03

How it ships

Original repositories5
Forked repositoriesNot verified
Pushed in 90 days2
Archived share0%
Languages
C++, TypeScript, Python
Topics
Not detected
Latest release
KittenML/KittenTTS-swift · Apr 8, 2026
04

Latest observed moves

  1. GitHub pushRepository activity
  2. HF modelModel published or updated
  3. GitHub releaseRelease 0.1.0
  4. HF SpaceSpace published or updated
05

Publicly evidenced tooling

Training
Not disclosed
Compute
Not disclosed
Hardware
Not disclosed
Tracking
Not disclosed
Bottlenecks
Not disclosed

“Not disclosed” means no evidence was found in the sampled public metadata or top model card—not that the lab does not use the tool.

06

Nearest modality peers

Validate repeat users, benchmark delta, data advantage, distribution channel, and financing need.

  • HF member count is only a public-profile proxy
  • Low declared-task coverage
  • No parameter-count metadata
websiteheadquartersfoundedYearfoundersOrLeadershipemployeeCountfundingbusinessModelproducts

Completeness: 6 of 14 tracked field groups. Unknowns are explicit so an analyst can close them.

Every claim should be auditable.

Platform counters are a point-in-time public snapshot. Editorial facts are only promoted after source review.

Know when the thesis changes.

Weekly deltas, funding and team alerts, portfolio watchlists, CSV exports and an analyst-ready API turn a static profile into a sourcing system.

See tracker plans →