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Business judgment on AI products

DeepSeek

Keep watching

Individuals and knowledge workers open DeepSeek to hand a question or material to a chat interface for writing, research, coding or everyday questions, and the model returns an answer, draft or code that the user checks before use; enterprises and developers connect the same model through APIs into their own systems. Specific pricing and delivery terms remain unverified.

Category is set Has usage data New application / serviceGeneral assistantsSoftware and internet servicesProfessional servicesEducationIndividual users and knowledge workers getting answers and drafts through chat for writing, search, coding and daily questionsEnterprises and developer teams calling model APIs inside their own systems for text generation and reasoning tasksChinaGlobalMonthly visits 483.80MMoM -11%
First tracked here
2026-08-11
Last updated here
2026-09-25

01

Why this would be needed

Start inside the user's day · Public facts + observable behavior · 2026-08-29

Use case

Users need to quickly obtain information and solve problems through conversational interaction, including coding, content creation, file reading, etc.

Using search engines like Google, Baidu, or asking others.

Traditional search returns many links requiring manual filtering, which is inefficient; DeepSeek provides direct answers, reducing filtering cost.

xOcto's call

Stable leader, the market is set, but the growth engine shifted gears.

The trend is that leading general assistants now compete on both revenue and inference efficiency, and falling inference cost keeps lowering the barrier for similar applications. The opening is not another general chatbot but embedding this model capability into a specific industry's old workflow, such as legal document drafts, real-estate listing copy or cross-border support scripts, charging that industry by output or by seat.

Reason to use it

Why users would choose it

Monthly visits of 483.8M, despite a 10.59% MoM decline, the scale is huge, indicating widespread adoption.

Where the easy answer breaks down

The tension worth following

① Whether monthly visits hold above 400M — continued decline would mean the "deep; Q&A" ceiling is being squeezed further by general-purpose products like Doubao; ② Whether the next model release creates another traffic pulse — model events are; DeepSeek's only growth engine; ③ New large-scale API/B…

If this is your job

Worth trying. Monthly visits of 483.8M, despite a 10.59% MoM decline, the scale is huge, indicating widespread adoption.

Entry and what to borrow

event-driven products (strong launches, weak daily) should accept violent traffic swings and not patch them with daily operations — you cannot win that fight. Budgeting for the next highlight moment beats budgeting for growth hacking. if you have a real technical moat, copy "give away the best version free" — free is the flagship, not a cripple, destroying competitors' price anchors while monetizing through API/B-end. This only works if you can stay one step ahead; otherwise your free tier is just a giveaway.

Evidence and risk

End users: free, no ads, no paywall anywhere on the web product; Developers: token-metered API, one of the cheapest domestic options; Profit center: not disclosed; API and B-end are the presumed channel, with; High-Flyer Quant as the comput… ① Whether monthly visits hold above 400M — continued decline would mean the "deep; Q&A" ceiling is being squeezed further by general-purpose products like Doubao; ② Whether the next model release creates another traffic pulse — model events are; DeepSeek's only growth engine; ③ New large-scale API/B…

What this judgment rests on
Public fact

Individuals and knowledge workers open DeepSeek to hand a question or material to a chat interface for writing, research, coding or everyday questions, and the model returns an answer, draft or code that the user checks before use; enterprises and developers connect the same model through APIs into their own systems. Specific pricing and delivery terms remain unverified.

Workflow reasoning

Monthly visits of 483.8M, despite a 10.59% MoM decline, the scale is huge, indicating widespread adoption.

The unknown that could change the call

An English validation note will follow from the public evidence.

04 · Truth Insufficient evidence

The assessment is recorded; an English explanation is pending.

02

Chinese and English ecosystems

Market comparison

English ecosystem · English-language market

Local supply: Not found in covered sources
Demand evidence: Not yet verified

Public coverage has been recorded for this market. · 2026-09-25

Chinese ecosystem · CN

Local supply: Not found in covered sources
Demand evidence: Not yet verified

Public coverage has been recorded for this market. · 2026-09-25

03

60-second business read

The call and next move come first; the full read retains the evidence and counterevidence.

What it is in one line

DeepSeek's main conversation site (chat.deepseek.com), one of the highest-traffic AI products in China: free, ad-free, usable without registration, and the hand that pushed "open-weights plus a free product" until the whole industry's pricing hit the floor.

Who built it

DeepSeek, the Chinese AI company with roots in High-Flyer Quant. This slug maps to the web product, which shares one model family with the mobile app (slug: deepseek-ai-智能助手); the app is the mobile supplement and the web is the home of deep use. Famous for open weights, it has been one of China's top AI traffic products since the R1 release ignited global attention in early 2025.

Read: DeepSeek is the purest "model-company product" — the web product has almost no product-operations fingerprints. No membership, no campaigns, no community; the whole budget goes into model capability. Its real competitors are not other apps but the industry-wide decision of "use the latest open-weights generation or not." Traffic is a by-product of the model, not of product operations.

What it actually does

  • Deep Q&A → the in-house MoE architecture with reasoning, code and math as strengths; answers carry a full reasoning trace
  • Long context → million-token scale; feed it a 40-page research report, a paper, a codebase
  • Web search → optional grounded Q&A replacing the "search first, then synthesize" routine
  • File parsing → an OCR image-text model that reorganizes documents by semantics
  • API console → token-metered developer API, long-term among the cheapest domestic options
  • Open-weights distribution → weights are open; developers worldwide self-host and build on them

What it deliberately does not do: no membership system, no ads, no entertainment feeds, no mobile-operations spend. The web product is a pure tool — no virality loops, no retention hooks.

What old behavior it replaces

For ordinary people: the everyday "general search + Q&A" routine. Looking up a complex answer used to mean opening a search engine, picking from a link list, clicking in and synthesizing yourself; the DeepSeek web product turns it into "type it in, get the answer, watch the reasoning." Doubao replaces the same action, but DeepSeek's answers are closer to "usable as-is" on professional questions.

For developers: it replaces both "running a model locally" and "paying for a proprietary API." Using a frontier model used to mean either standing up an open model yourself or paying for ChatGPT's API; DeepSeek's free web product made "experience frontier reasoning at zero cost" a default action, and open weights made self-hosting an option. This layer is what actually resets the industry: it moved the price anchor of "the most capable model" from "expensive" to "free."

Business model

  • End users: free, no ads, no paywall anywhere on the web product
  • Developers: token-metered API, one of the cheapest domestic options
  • Profit center: not disclosed; API and B-end are the presumed channel, with High-Flyer Quant as the compute base

Read: the web product itself earns nothing directly — it is the brand entry and the ecosystem hook. The money comes from API and enterprise, and open weights make the whole world install DeepSeek inside their own products. What makes this model unique: the free tier is not a crippled version, it is the best version — the single biggest difference between DeepSeek and every competitor's free tier.

Hard numbers

  • traffic board: 483.8M monthly visits, -10.59% MoM (2026-08), No.1 domestic website visits
  • March 2026: 125M-156M global MAU, ~13M DAU (media)
  • QuestMobile (June 2026): DeepSeek app MAU 130M, -20.3% YoY
  • Q2 2026: downloads just turned the corner after four straight quarters of decline (media)
  • Funding, team size, API revenue: not disclosed

Four-way read

Dimension Call
Founder-product fit A model company's product; fit depends on whether the model keeps leading
Product insight Plain product; all the insight is in the model: free the best version and reshape the market by price
Execution quality In-house MoE, ultra-long context, open ecosystem — top-tier domestic technical base
Timing The early-2025 window closed; the game is now holding technical leadership

The call

Stable leader, the market is set, but the growth engine shifted gears.

483.8M monthly visits is real and holds the No.1 slot among domestic AI websites. But the -10.59% MoM, matching the app line's -1.5% (slug: deepseek-ai-智能助手), shows the whole product line in the post-boom settling period — R1 brought a pulse-style surge in early 2025, and after the pulse faded, usage returned to a tool's natural level. That is reversion to normal, not decline.

Its industry shock is done and irreversible: open weights plus free-best-version moved the price anchor of "most capable model" to the floor permanently. That shock keeps spreading on the B-end and in the ecosystem — many overseas products embed DeepSeek weights in their workflows. Judging it by web traffic alone misses the real measure: penetration inside other people's products.

MoM note: -10.59% is negative but the absolute number is still the domestic No.1. Compared with Doubao and Kimi, DeepSeek's traffic curve swings harder because its growth depends on model releases as events, with no daily operations underneath. The next traffic peak waits for the next "R1 moment."

What to watch next

① Whether monthly visits hold above 400M — continued decline would mean the "deep Q&A" ceiling is being squeezed further by general-purpose products like Doubao ② Whether the next model release creates another traffic pulse — model events are DeepSeek's only growth engine ③ New large-scale API/B-end adoption cases — that is the actual commercial base

What you can take from it

Pricing structure: if you have a real technical moat, copy "give away the best version free" — free is the flagship, not a cripple, destroying competitors' price anchors while monetizing through API/B-end. This only works if you can stay one step ahead; otherwise your free tier is just a giveaway.

Product logic: event-driven products (strong launches, weak daily) should accept violent traffic swings and not patch them with daily operations — you cannot win that fight. Budgeting for the next highlight moment beats budgeting for growth hacking.

Verdict

Worth watching. The No.1 domestic traffic slot is fact, the pricing shock is irreversible, but the product line is in a post-pulse settling phase with model releases as the only growth engine. It is the benchmark sample of a pure model-company product: winning the whole industry's mindshare by giving away the best version free, while accepting that general users will not stay.

04

Verifiable public evidence

Evidence trail

05

Go from the product name to primary material

Use these searches when the official site is missing or the current link is only a lead.