Smartloop is an open-source, no-code Small Language Model platform for creating domain-specific agents. It uses personal and sensitive data, optimizing cost and energy efficiency while maintaining high accuracy.
Developer & AI Platformsmartloop.aiTracked since 2026-08-211 discovery source
604Backlinks
217Referring domains
35Domain authority
-19.3%Referring domains · 90 days
Authority & distribution
How strong is Smartloop’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
604Current snapshot
Referring domains
217Current snapshot
Authority
35Domain authority · category median 22
90-day move
-19.3%Referring domains, last 90 days
At 35, Smartloop 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.
Traffic makes more sense when you can connect it to the actual product promise.
“Smartloop”
Smartloop is an open-source, no-code Small Language Model platform for creating domain-specific agents. It uses personal and sensitive data, optimizing cost and energy efficiency while maintaining high accuracy.
Developer & AI PlatformSeen 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://smartloop.ai
Observed across 1 discovery source.
Research questions
What the evidence answers about Smartloop.
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 Smartloop offer?
Smartloop offers a Small Language Model runner, the ability to connect to external systems via MCP servers, a skill creation system, open model local agents, personalized projects, and an OpenAI compatible API. It also provides documentation and guides for setup and use.
What is Smartloop and what problem does it solve?
Smartloop is an open-source, no-code platform for creating domain-specific AI agents that run locally on a user's own machine. It solves the problems of cloud AI cost, data privacy, and energy efficiency by enabling private, on-device AI execution without sending sensitive data to external servers.
What is Smartloop used for and in what situations?
Smartloop is used to extract information, generate new content, create reusable skills, and automate tasks by running AI agents locally. It is suitable for situations where data privacy is critical, such as processing personal or sensitive documents, and when users want to avoid recurring cloud API costs.
Who is Smartloop designed for?
Smartloop is designed for developers and individuals who want to run AI locally on their own hardware (macOS, Linux, Windows) without relying on cloud services. It targets users who need to create and automate tasks with small language models while maintaining full control over their data.
4 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 Smartloop 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