MCP简体中文Upgrade
Market/Categories/Developer & AI Platform/Torch

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

Torchtorch.ch

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformtorch.chTracked since 2026-08-191 discovery source
10.1KBacklinks
2.2KReferring domains
28Domain authority
-4.7%Referring domains · 90 days

Authority & distribution

How strong is Torch’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

10.1KCurrent snapshot

Referring domains

2.2KCurrent snapshot

Authority

28Domain authority · category median 22

90-day move

-4.7%Referring domains, last 90 days
At 28, Torch sits above 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.

See the trajectoryOpen the full profile

Traffic & engagement

Where Torch ranks

Measured · Pro

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

Unlock this profileOpen the full profile

AI referral visibility

Which AI assistants are already sending Torch traffic?

Measured · Pro

Measured for this product: AI referral traffic.

Unlock this profileOpen the full profile

Product profile

What Torch is selling.

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

“Torch”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage 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: http://torch.ch

Observed across 1 discovery source.

Research questions

What the evidence answers about Torch.

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

What features and capabilities does Torch offer?

Torch offers a powerful N-dimensional array with routines for indexing, slicing, and transposing. It includes linear algebra routines, neural network and energy-based models, numeric optimization routines, and fast and efficient GPU support. It is also embeddable with ports to iOS and Android backends.

What is Torch and what problem does it solve?

Torch is a scientific computing framework with wide support for machine learning algorithms. It is designed to be easy to use and efficient for building scientific algorithms, providing maximum flexibility and speed while simplifying the process. It is built on the LuaJIT scripting language and an underlying C/CUDA implementation.

What is Torch used for and in what situations?

Torch is used for building neural network and optimization models for machine learning. Its ecosystem includes packages for computer vision, signal processing, parallel processing, image, video, audio, and networking. It is used in situations requiring maximum flexibility in implementing complex neural network topologies and parallelizing them over CPUs and GPUs.

Who is Torch for?

Torch is for developers and researchers building scientific and machine learning algorithms. It is already used within companies like Facebook, Google, and Twitter, as well as research labs such as NYU, IDIAP, and Purdue.

What is Torch?

Torch is a scientific computing framework for LuaJIT with wide support for machine learning algorithms. It is designed to put GPUs first and is easy to use, efficient, and embeddable with ports to iOS and Android backends.

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 Torch 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