Data month 2026-09
Datacurve
datacurve.ai
Datacurve
Datacurvedatacurve.aiData engine for frontier AI
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According to AlphaMoat, in September 2026 Datacurve (datacurve.ai) received 986,272 monthly visits (+18.9% MoM) — ranked #724 of 18,174 AI websites with traffic data, and #120 of 2,483 in General AI; its largest market is United States (24.2% of visits).

Monthly Visits · 2026-09
986.3K+18.9%
Overall Rank (18,174)
#724
General AI Rank (2,483)
#120
Top Market
United States24.2%

What is Datacurve

Product Overview

Datacurve is a data engine for frontier AI that trains model capabilities through rigorous data-collection and evaluation infrastructure .

Key Features4 items
  • 01Build and publish long-horizon programming benchmarks such as DeepSWE
  • 02Crowdsourced engineer community collecting complex AI training data
  • 03Coverage of annotation, trajectories and human expert judgment
  • 04Improve model intelligence

12-Month Traffic Trend

Hover for monthly values
Latest 986.3KMoM+18.9%YoY+101.2%
-355.1K710.1K1.1M26-0626-0726-09
MonthMonthly visitsMoM
2026-06490.2K—
2026-07832.4K+69.8%
2026-08829.7K-0.3%
2026-09986.3K+18.9%

Visits by Country · Top 5

2026-09 · Share of total visits
United States
238,52424.2%
China
165,12116.7%
Brazil
57,1265.8%
India
48,9815.0%
Saudi Arabia
33,2673.4%

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FAQ

How many monthly visits does Datacurve get?

According to AlphaMoat, Datacurve (datacurve.ai) received 986,272 visits (about 986.3K) in September 2026 (+18.9% month over month), ranking #724 of 18,174 AI websites with traffic data, and #120 in General AI.

Where do Datacurve’s visitors come from?

In September 2026, Datacurve’s largest markets by share of visits are United States 24.2%, China 16.7%, Brazil 5.8%.

What are some alternatives to Datacurve?

In General AI, the other products with the most monthly visits are ChatGPT (5.9B), Gemini (2.6B), Claude (1.0B), DeepSeek (357.4M), Grok (205.5M).

Data month: 2026-09 · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.