Original · Unique Research · 2026-04-16
Editor's note: The first-person report and its judgments belong to the original Chinese author. This English rendition retains the ranking overview, all 15 product breakdowns, five common characteristics, the About Us section, and the complete research statement including data methodology, concept definitions, metric definitions and disclaimer. All ranking positions, user figures, financing amounts, customer counts, release dates and product claims are source or speaker claims, not independently audited findings. Product names are retained in their original English or transliterated forms where official English names remain unverified. The ±10% average absolute error rate and all data-scope limitations are preserved as stated by the source.
Global AI Application Growth Ranking Top 10
Agent Installation Wave, Result Delivery, and the New Generation of Growth Structure
What is truly surging the fastest is not the AI that talks the best, but products that are more like tools, more like platforms, more like infrastructure.
A website that runs a "lobster" skills marketplace pushed its visit-growth rate to No. 1 on the AI tools ranking.
You might say: the data must be wrong.
But when you look at the entire ranking together, you will find this is not an exception at all.
First, the conclusion: this ranking hides the three biggest signals for AI Web in 2026
First, Agent-ification has truly moved from an in-circle buzzword to a mass installation wave.
Shuichan Market (seafood market), EasyClaw, ClawHub, AutoGLM—these several can almost be seen as different positions in the same wave: some run skills marketplaces, some make installation shells, some operate distribution and registration centers, some serve as local entry points. In March, the Chinese market's enthusiasm for the OpenClaw ecosystem was very obvious; media even directly described it as a nationwide installation craze, enterprises collectively entering the arena, and local governments offering subsidies. This means that as long as you stand on this chain—whether you sell the "Agent itself," skills, entry points, or installation experience—you have a chance to be directly pushed up by the wave.
Second, the fastest-growing products are generally pushing AI from "answering questions" to "directly delivering results."
Feishu aily can make a PPT, query a knowledge base, and call MCP tools with one sentence; RoboNeo can directly generate advertising assets and short-drama videos; Spellbook works directly inside legal contract workflows; Stitch pushes UI design from prompt to collaborative, exportable, prototype-previewable; MaxAI stuffs AI into the entire browser workflow. What everyone is competing on is not "can you chat," but "can you get the job done in one go."
Third, Web growth increasingly resembles a combined result of the "product power + distribution power + SEO/content traffic" trio.
You will find that many products on the ranking are themselves both tools, content sites, and traffic entry points. Trancy captures browser-extension demand through an "integrated language-learning extension"; Passport Photo Template is essentially a high-frequency, must-have template page; Morph, while building coding-agent infrastructure, simultaneously attracts developer decision traffic through benchmarks and selection content; EasyClaw is also clearly using tutorials, rankings, and release logs to continuously capture search traffic. They are all competing on "who is closest to the user's search action, installation action, and first-trial action."
Ranking Quick Overview: What Dividend Are These 15 Products Capturing?
| Product | Growth Performance | Core Judgment |
| --- | --- | --- |
| Shuichan Market (seafood market) | Visit ranking No. 1 | Captured the OpenClaw skills-marketplace explosion; low base instantly amplified by industry craze |
| MaxAI.me | Visit ranking No. 2, Active ranking No. 1 | Browser-native AI assistant becomes a high-frequency entry point, broad scenario coverage, strong retention |
| EasyClaw | Visit ranking No. 3, Active ranking No. 2 | Directly eliminates the complex Agent installation and usage barrier,undertake the nationwide "install lobster" craze |
| Infinigence (Infinigence) | Visit ranking No. 4 | March model launch + Web free strategy attractsa large number of trial traffic |
| AutoGLM | Visit ranking No. 5, Active ranking No. 3 | Zhipu turns Agent into "one-click install + chat as entry point," perfectly matching the month's trend |
| Inception Labs | Visit ranking No. 6 | Mercury 2 turns "ultra-fast inference" into a differentiator, hitting the agent latency pain point |
| Feishu aily (Feishuaily) | Visit ranking No. 7, Active ranking No. 8 | Enterprise agent platform major upgrade in March, moving from chat to delivery |
| OpenAI.FM | Visit ranking No. 8, Active ranking No. 5 | Voice demo is extremely easy tospread, perfectlyundertake the voice-agent craze |
| Passport Photo Template | Visit ranking No. 9 | Typical SEO must-have tool page, clear demand, direct conversion |
| ClawHub | Visit ranking No. 10 | OpenClaw ecosystem registration center; the hotter the ecosystem, the more it resembles a "must-pass road" |
| RoboNeo | Active ranking No. 4 | AI visual and short-video creation enters "finished-film delivery," users return more frequently |
| Trancy | Active ranking No. 6 | Integrates subtitles, translation, speaking practice, vocabulary memorization into one extension, naturally high-frequency |
| Morph | Active ranking No. 7 | Actually coding-agent infrastructure, growing through developer selection content and tool capability |
| Spellbook | Active ranking No. 9 | Legal AI enters deep water; product updates + financing news double amplification |
| Stitch | Active ranking No. 10 | Google upgrades AI design from demo to collaborative canvas, naturally bringing large-scale trial use |
Shuichan Market directly defines itself as "the App Store of the new era—a place where Agents can learn from and borrow from each other." This sentence is basically the epitome of the entire March Agent ecosystem explosion.
Breakdown One by One: Why These Products?
1
Shuichan Market: It Is Not an Ordinary Tool, It Is the "App Store for Agents"
Let's start with the most dramatic one. Shuichan Market surged to No. 1 on the visit ranking, and the month-over-month change value in the table is astonishingly high. Looking at absolute visit volume alone, it is not large—only around 100,000-level—but thisinstead indicates: it is likely a typical low-base explosion product. Its homepage directly defines itself as "the App Store of the new era," with the core of providing assets, experience, skills access and community distribution for Agents. This kind of positioning, in March when OpenClaw went viral, was almost equivalent to standing at the very center of the wind tunnel.
More critically, in March the Chinese market's adoption of OpenClaw was no longer just self-amusement in tech circles; enterprises, cloud vendors, offline installation events, and even local policies were all pushing it. A skills and experience hub in a Chinese-language context like Shuichan Market would naturally be treated bya large number of new users as the default entry point for "where to go next after installation." Put simply, what it captured was not single-point product growth, but traffic spillover brought by the entire ecosystem taking off.
2
MaxAI.me / MaxAI: Browser Extensions Remain One of the Easiest Forms for AI Apps to Achieve High Activity
MaxAI is the most respectable combination of "old-school growth logic + new-school AI capability" on this ranking. It is essentially an all-purpose AI assistant in the browser: sidebar, web-context Q&A, cited answers, writing, translation, summarization, image generation—almost wrapping up all the light workflows users have on web pages. And its distribution is smart: Chrome extension, Edge extension, Web App in one trinity, which means it is naturally stuck at the entry layer closest to the user.
Why did it surge both the visit ranking and the active ranking in March? Because by this stage in 2026, many people are no longer satisfied with "specifically opening an AI website," but instead want AI available everywhere, instantly callable, usable while reading. A product like MaxAI fits the direction of "AI-native browser workflow" very well. Plus, its official website directly displays 1 million+ active users, 14,000+ five-star reviews, anda large number of enterprise and university endorsements—it shows this is not a flash in the pan, but has already run through the closed loop of "high-frequency use—high retention—word-of-mouth spread."
3
EasyClaw: Not Building the Strongest Agent, but the "Easiest to Install, Easiest to Get Started With" Agent
The smartest thing about EasyClaw is that it did not compete with all Agents on "who is smarter," butcaptured the most real pain point: everyone wants an Agent, but the vast majority of people simply cannot install it, cannot configure it, and do not even want to touch an API key. Its homepage states the selling point very directly: One-click install, Zero configuration, No API key required, and emphasizes local running, desktop-native control, and mobile remote command of the workstation.
Looking at its release rhythm in March makes it even easier to understand why it grew fast: throughout almost the entire month of March it was releasing versions at high frequency, adding MCP support, skills discovery, built-in image generation, Enterprise WeChat/Feishu/Lark integration, sub-Agent computer control, official WeChat access, memory enhancement, skills marketplace optimization, and more. This means EasyClaw in March was not "riding the heat," but while capturing the OpenClaw craze, it was simultaneously using continuous releases to convert new traffic into genuinely usable products. No wonder it appeared on both the visit ranking and the active ranking.
4
Infinigence (Infinigence): Model Platforms Can Also Surge in Growth, Because People Are Looking for Cheaper, Easier Experimental Grounds
Infinigence appearing on the visit ranking is no accident. In March it did two very typical, very "growth product manager" perspective things: on March 18 it launched the MiniMax series model minimax-m2.7, and on March 30 it stopped free service for the basic API version, but explicitly stated that the webdevice would remain free. Don't underestimate this move—it is actually "guiding" some users back from the APIdevice to the Webdevice experience center.
So Infinigence's growth may not represent ordinary users suddenly falling in love with "model training" itself, but more likely means: at a stage where model supply is increasing and developers care more about cost and trial efficiency, a platform that can quickly try new models, remains free on the webdevice, and has clear commercialization boundaries will obtain obvious trial-type traffic. This kind of traffic may not all convert into long-term daily active users, but it is very easy to show up on monthly visit rankings.
5
AutoGLM / AutoClaw: Zhipu Moved Fast, Turning Agent into "One-Click Labor in Chat"
For this wave of AutoGLM growth, I think the most important thing behind it is not the model, but the product packaging method. The official page emphasizes: configure an AI assistant with one click in chat, users only need to state the goal, and the system will break down tasks, call real tools, and return results along with context to the same conversation. No complex extra panels, no winding setup maze—this is essentially turning Agent into a product "you will actually use."
More critically, Yicai's reporting pointed it out clearly: on March 10, 2026, Zhipu launched AutoClaw, positioned as China's first one-click-install local OpenClaw version, with 50+ built-in skills, and also recommending integration with models such as GLM, DeepSeek, and Kimi. This fits the March industry sentiment very well: people do not want to see another chatbot, they want to immediately install a "work-capable Agent" on their own computer. AutoGLM's high growth in both visits and activity precisely shows that Zhipu successfully captured this entry position.
6
Inception Labs: In the Agent Era, "Fast" Itself Is a Killer Selling Point
For this wave of Inception Labs growth, the core is not "another model company," but that it turned something easily overlooked into a differentiator: inference speed. Mercury 2 is directly defined in the official blog as "the world's fastest reasoning language model," emphasizing the diffusion route, 1009 tokens/sec, adjustable reasoning, 128K context, native tool calling, JSON output, and repeatedly emphasizing "Production AI is now loops, not one question one answer."
This sentence is important. Because in 2026, more and more genuinely valuable AI products are multi-step agentic workflows: retrieval, reasoning, tool calling, re-reasoning, re-output. Once the chain gets long, latency becomes the core experience. Inception's growth in March shows the market has started voting for "ultra-fast, production-deployable model foundations." You can understand it as: the competition logic at the model layer has also shifted from who is better at taking exams to who is more suitable for running real workflows.
7
Feishu aily (Feishuaily): Enterprise AI Begins Upgrading from "Chat Plugin" to "Agent Operating System"
Feishu aily's upgrade in March was fierce. The official article almost laid out all the capabilities an enterprise Agent platform should have in this round: AI automatically judges "task mode or dialogue mode," one-sentence PPT generation, MCP marketplace, knowledge spaces, custom smart assistants, multimodal generation, even official website and mini-game development. This signal is very clear: Feishu is not satisfied with being an AI button in office software, but is pushing aily toward an enterprise agent platform.
The reason its visits and activity both grew is not only because of many features, but because it ties "AI capability" tightly to the already high-frequency enterprise processes. PPT, documents, knowledge, business systems, internal collaboration—these are all inherently high-frequency scenarios. Plus, MCP standardizes tool access, and knowledge spaces allow enterprise know-how to beaccumulated and reused, so aily's logic shifts from "ask AI a question" to "let AI come into the company and do work." Once this type of product crosses the usability threshold, growth is often very fast.
8
OpenAI.FM: What Is Easiest to Go Viral Is Not Necessarily the Most Complex, but the Most Playable
OpenAI.FM is a very typical product: it may not be the most technically complex, but it is extremely suitable forspread. The page is very simple—an interactive demo of official TTS capability, where users or developers can directly experience voice style, naturalness, and playability. It is itself an open-source project, built with NextJS and Speech API, so developers can both "play" and "copy the homework" to quickly integrate into their own applications.
Voice agents in 2026 have moved from an edge plaything to a mainstream workflow component. OpenAI's audio model emphasizes better STT, controllable TTS, customizable expression, and voice-agent building capability, and OpenAI.FM is precisely the most intuitive, lowest-barrier trial window for this set of capabilities. The more this kind of "wow as soon as you click" demo, the easier it spreads on social networks and in developer circles.
9
Passport Photo Template: This Type of Product Is Not Sexy, It Just Understands Search Traffic Too Well
Many people frown when they see Passport Photo Template: this counts as an AI hit? But Iprecisely think this type of product is most worth studying. Its page is very typical: templates, country specifications, ID photo dimensions, background requirements, printability, various ID photo entry points—extremely strong demand, extremely clear user intent, extremely short conversion path. People who search for terms like "passport photo template" are often already very close to the payment or usage action.
So its growth logic is probably not "the brand suddenly went viral," but that AI capability has turned traditional ID-photo tools into a more efficient template engine, while SEO continuously delivers demand to the door. The beauty of this type of product is: users may not care whether yourunderlying is a large model, but as long as you can quickly crop, change background, adapt to specifications, and reduce the risk of rejection, it will continuously have natural traffic. By 2026, AI Web is no longer only cool demos that can win; must-have tools cansimilarly hit the rankings.
10
ClawHub: Once the Ecosystem Explodes, the Registration Center Is the Toll Station
ClawHub's strength lies in that it is not a single-point tool, but the "skills registration center" within the entire OpenClaw ecosystem. The official documentation states it clearly: it is a public registry for skills and plugins, responsible for versioned storage, search and discovery, download and distribution, and audit history. You can understand it as the npm / plugin store / accessories center of the OpenClaw era.
Why could its visit volume be so large in March, even reaching the 8.53 million-level in the ranking? Because ecosystem-type platforms have a characteristic: once installation volume picks up, it becomes the default must-pass road. And March's OpenClaw explosion in the Chinese market, the cluster of local versions appearing, and the rapid expansion of skills and plugins, all continuously push users and developers toward ClawHub. In particular, the documentation also mentions the plugin compatibility requirement of 2026.3.24-beta.2—late March the ecosystem was in an obvious version migration and adaptation period, which has a very direct pull on registry visits.
The key for products like AutoClaw is not "how strong the model is," but "can you hand over the task in one sentence and get the result back in the same chat window."
11
RoboNeo: AI Visual Tools Begin Shifting from "Making an Image" to "Making a Deployable Content Workflow"
I am not at all surprised that RoboNeo made the active ranking. Because its homepage is no longer the traditional AI drawing tool narrative, but directly speaks around advertising assets, short-drama production, and e-commerce creativity. It emphasizes one-sentence ad creation, short-drama generation, e-commerce ad production, and even talks about brand positioning, creative strategy, platform distribution, CTR and ROI—this is already very close to an "AI creative team," not simply an image generator.
Looking at its integrated Seedance 2.0 page, it emphasizes multi-shot narrative, cinematic feel, native audio, multimodal director-style generation, and second-level iteration. This shows the reason RoboNeo attracts users to come back is not "I occasionally play with AI images," but "I can genuinely use it to continuously produce social media content and marketing assets." Once a product reaches this stage, activity will naturally be much higher than single-trial-type tools.
12
Trancy: The Best Growth Method for AI Education Products Is to Embed Learning into What You Are Already Doing
Trancy's growth logic is very elegant. It does not ask you to "specifically open an English-learning app," but directly embeds language learning into daily content consumption scenarios such as YouTube, Netflix, Disney+, Udemy, and Coursera. The official definition of its differentiation is also very clear: bilingual subtitles, AI speaking coach, vocabulary memorization, web page translation, PDF translation—all put into one extension.
And it directly states in its changelog that its global users have exceeded 700,000, and mentions that 2026 directions include mobile podcast learning, Learning Center 3.0, and enhanced minority-language experience. The reason this type of product's activity grows fast is simple: it is bound to daily entertainment and learning must-haves, no need to额外 cultivate habits. Embedding learning into existing behavior is inherently one of the strongest retention strategies.
13
Morph: This Name Looks Like Image Generation, but It Is Actually More Like "Infrastructure for the AI Coding Era"
First, an interesting point: the ranking categorizes Morph under "image generation," but from its official website, it actually focuses on AI coding-agent infrastructure, such as code search, code edit apply layer, PR testing, and context compression. So here I will remind: the category labels in the table may deviate from the product's actual positioning.
Why can Morph still make the active ranking? Because it understands the developer market very well. While sellingunderlying capabilities, it continuously produces high-value content such as "2026 AI coding agent ranking," "benchmark comparison," and "15 coding agents hands-on tested." For developers, this type of content is the selection entry point; and once the content brings people in, the official website conveniently pushes capabilities like Fast Apply, 10,500+ tokens/s, code search, and PR testing to you, forming the conversion chain. It does not rely on massspread, but on high-frequency return visits from professional audiences.
14
Spellbook: In the End, Vertical AI Competes Not on Novelty, but on Industry Penetration Rate
The Spellbook case is very mature. In March it simultaneously released 13 product updates covering Ask, Reviews, and Associate, including voice Dictation, Apply All, Proofreading, Playbook conflict detection, version history, company profiling, and in-app direct editing; on the other hand, it secured US$40 million in debt financing from RBCx, and the official also emphasized that it already serves nearly 4,000 law firms and legal teams, covering 80 countries.
This is a typical vertical AI deep-water play: while making the product more embedded in workflows, it simultaneously uses financing, customer counts, and M&A narrative to strengthen industry mindshare. The legal industry does not chase hot topics like mass consumer C-end, but once a tool is truly integrated into documents, review, drafting, and processes, activity becomes very stable. So Spellbook's growth is not "suddenly going viral," but "scale penetration has already formed in the industry, plus dense March moves, exposure and usage rising together."
15
Stitch: Google Finally Pushes AI Design from "Can Generate Interfaces" to "Can Collaborate, Extend, and Connect to Development"
Stitch's March upgrade, I think, is the most representative "big-tech product evolution" on this ranking. Google stated clearly in its March 18 article: Stitch is upgrading from a UI generation experiment to an AI-native software design canvas. The new infinite canvas, design Agent, Agent manager, DESIGN.md, voice-style vibe design, interactive prototypes, and MCP/SDK/skills connecting to development tools—this is actually not a minor patch, but a product paradigm upgrade.
This type of tool naturally has a strong "urge to try"—whether you are a designer, product manager, or entrepreneur, it is easy to want to try "can I directly produce a set of interfaces with one sentence." And once it can not only generate images, but also collaborate, revise, export, and connect to development, then it shifts from a demo to a genuinely returnable workbench. Web activity growth is essentially users starting to treat it as a production tool rather than a toy.
The most critical thing about Stitch's upgrade this time is not "can generate another page," but turning design into a complete canvas that can be explored in parallel, iterated in real time, and connected to development.
Putting All 15 Products Together, What Common Characteristics Do They Have?
One, they are almost all lowering the barrier to "first use."
EasyClaw emphasizes one-click install, zero configuration; AutoGLM emphasizes getting started directly in chat; OpenAI.FM uses a demo to let you instantly understand voice models; Stitch uses natural language and voice to continue lowering the design barrier; Feishu aily makes the enterprise agent configuration process more business-user-friendly. In this AI battle so far, what is most valuable is no longer "technically achievable," but "ordinary people can start using it today."
Two, they are all moving from "answering" to "delivering."
RoboNeo delivers advertising assets and videos, Spellbook delivers contract-flow results, Feishu aily delivers PPTs and business assistants, Stitch delivers high-fidelity UI, MaxAI embeds reading, writing, translation, and summarization directly into the browser work process. Users are increasingly unwilling to just get an answer; they want a directly usable result. This will directly raise product revisit rates and activity.
Three, ecosystem position is more important than single-point functionality.
Looking at Shuichan Market, ClawHub, EasyClaw, and AutoGLM together makes it obvious: what can truly capture big dividends is not just a feature itself, but your position on the entire ecosystem chain. Are you the entry point? Are you the skills marketplace? Are you the installer? Are you the registry? As long as you capture one step between "user wants to use" and "user starts using," the traffic will be large. Growth in the Agent era increasingly resembles the app-store wars of the early mobile internet.
Four, content and SEO are no longer accessories, but core growth engines.
Passport Photo Template, Morph, Trancy, and EasyClaw are all particularly obvious: content is not "done on the side," but part of the product. Tutorials, rankings, changelogs, template pages, comparison pages—essentially allseize user search intent. AI Web now strongly resembles SaaS + media + tool in one; whoever can simultaneously control "being searched," "being clicked," and "being tried" will have more stable growth.
Five, the model itself begins to "retreat to the second line," while the experience structure begins to "step to the front."
Inception Labs is of course still competing on models, but it competes on speed and production-deployment adaptation; OpenAI's audio model is not simply comparing parameters, but comparing voice-agent usability; Infinigence is using a combination of model supply and commercial strategy to guide traffic to Web; Stitch, Feishu aily, and RoboNeo更是 hide the model behind and put the user workbench in front. By 2026, users increasingly do not care which model is behind you; they care whether you can let them finish this task faster.
The most ferocious in March was not "smarter AI," but AI that is "more like a tool, more like a platform, more like infrastructure"—this is my biggest feeling after reading the entire ranking.
What is truly growing fast is not only model companies, nor only viral chatbots; but products that put AI into browsers, into enterprise processes, into skills stores, into design canvases, into content production lines. They collectively point to one trend:
The next stage of AI Web competes not on whether you can talk, but on whether you can catch real-world tasks, workflows, distribution, and reuse.
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02. Research Statement
2.1 Data Description
The AI product revenue data involved in this report, article, ranking, or chart is based on real-time tracking of jump traffic from AI product official websites to payment gateways (such as Stripe), combined with time-series analysis, deeply analyzing historical visit volume, monthly active user fluctuations, and pricing strategy changes, thereby constructing a dynamic revenue evaluation model. The model's core parameters are determined through a triple-verification system of paid conversion funnel monitoring, reverse calibration of enterprise-disclosed data, and industry benchmark conversion rate comparison, and are promptly compared and corrected with enterprise financial reports, financing announcements, and authoritative media disclosures. Through sampling verification, the average absolute error rate between predicted values and actual data is stable within ±10%, with accuracy reaching industry research-level standards.
The AI product traffic data involved in this report, article, ranking, or chart is based on multi-source data integration and Unique Research intelligent algorithm processing, with the monitoring scope strictly limited to users' direct access behavior through official applications and websites. Specifically, this data only covers users' direct access to AI products through websites and native applications, and does not include traffic data generated by the following access methods: browser plugins/extensions, desktop client software, WeChat/Alipay mini-program ecosystems, embedded services on third-party platforms such as Discord, local deployment of open-source models, API interface calls, and other non-direct access scenarios. This data focuses on monitoring core end-side access behavior of AI products, aiming to objectively reflect the direct usage of mainstream user terminals.
Given the complexity and dynamism of data collection and processing, as well as the constantly changing market environment, the displayed data may contain a certain degree of error and omission. Therefore, this data should be regarded as a reference basis for research and analysis, aiming to provide users with a window for in-depth understanding of the AI product market, rather than a definitive basis for directly formulating specific investment strategies or providing consulting advice.
Data Coverage Expansion Note:
We are actively developing and testing monitoring models for the following emerging fields, expected to be gradually incorporated in future quarterly reports:
AI Agent ecosystem
AI hardware device sales and activity
Large-model API call scale estimation
Stay tuned.
2.2 Concept Definitions
• Geographic Dimension
Overseas AI products: Products founded by non-Chinese entrepreneurs or teams, and primarily launched for the global market (including but not limited to their home market).
Domestic AI products: Products founded by Chinese entrepreneurs or teams, primarily launched for the Chinese domestic market.
Going-global AI products: Products founded by Chinese entrepreneurs or teams, but with primary market targets positioned in overseas markets (non-Chinese domestic market).
• Functional Dimension
AI-native applications: Applications that, from the initial product design, deeply integrate artificial intelligence technology and algorithms, whose core value, business processes, or user experience completely depend on AI technology construction. These applications not only use AI to optimize or enhance existing functions, but take AI as their core component; without AI technology, these applications would cease to exist or lose their core value.
AI-feature applications: Applications that, on the basis of original business logic and application frameworks, enhance existing functions or provide entirely new functions by integrating or embedding AI technology. These applications may originally have had mature business models and market positioning, but through introducing AI technology, can significantly improve efficiency, enhance user experience, or create new value points.
AI-ecosystem applications: Platform-type applications that provide support, connection, or communication facilitation for the AI ecosystem composed of AI technology developers, application developers, service providers, and end users. These applications are not limited to the technical level, but also involve multiple dimensions such as market, community, and resource sharing, aiming to promote the popularization, innovation, and cooperation of AI technology.
2.3 Metric Definitions
• WEB Data Metrics
Visits: The total number of all website visits within a specific time period (e.g., one month), used to measure the scale of website traffic. Page views within a continuous active period are counted as one session, while a user who reactivates after an interval of more than 30 minutes or starts a new day is regarded as a new visit, thereby comprehensively and accurately measuring website traffic and visitor activity.
Unique Visitors: The number of independent IPs visiting the target website within a specific time period (e.g., one month). If someone visits a website on multiple days within a month, they are only counted as one unique visitor.
Subscription Revenue (ARR): The total revenue obtained by a website through providing subscription services to users within a certain period (e.g., one year), and this revenue excludes advertising revenue, transaction commissions, and professional services and other one-time revenue components.
• APP Data Metrics
Downloads: The number of times an App is downloaded by users within a specific time period (e.g., one month). Usually measured by the number of downloads of a single App on app stores (such as App Store, Google Play, etc.). Downloads are one of the important indicators for measuring an App's popularity and user appeal, and can also reflect the effectiveness of App promotion and marketing activities.
Active Users: The number of independent users who have performed one activity within a specific time period (e.g., one month). Active users is an indicator for measuring user participation and activity level within a specific time period, usually used to evaluate an App's user scale and user activity.
In-App Purchase Revenue (IAP): Revenue generated by users' purchase behavior in the App to obtain virtual goods, additional services, advanced features, etc., excluding advertising revenue, direct user payments (such as tips), and revenue from third-party Android app stores.
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