According to AlphaMoat, in October 2026 TopK (topk.io) received 1,885 monthly visits (-47.5% MoM) — ranked #15,291 of 17,609 AI websites with traffic data, and #1,513 of 1,730 in Programming; its largest market is United States (64.5% of visits).
TopK vertically integrates retrieval, reasoning, and document processing into a unified platform that supports search over structured and unstructured data, storing data on object storage for lower cost and elastic scaling; the site claims query latency under one hundred milliseconds even at billion-scale.
It is billed by usage and settled monthly; new users get a $10 free allowance. The example configuration (10M documents, 1M writes and 1M queries per month, 10 namespaces) has an estimated monthly cost of $15.79, of which storage $3.46, write requests $0.10, write data $1.19, query memory $9.79, and query compute $1.26. Price list: database storage $0.10/GiB, write requests $0.01/1K, write data $0.50/GiB, query requests $0.50/1M, query memory $20.00/GiB, query compute $0.005/TiB, data egress $0.20/GiB, Get operations $0.01/1K, text vectorization $0.05/1M tokens, unstructured documents $0.005/page, images $0.05/image, text documents $0.002/1K tokens, File Search agent queries $0.01/query, and research queries $0.10/query.
| Month | Monthly visits | MoM |
|---|---|---|
| 2026-06 | 3.4K | — |
| 2026-07 | 4.1K | +21.0% |
| 2026-08 | 3.8K | -8.3% |
| 2026-09 | 3.6K | -4.7% |
| 2026-10 | 1.9K | -47.5% |
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+ CompareAccording to AlphaMoat, TopK (topk.io) received 1,885 visits (about 1.9K) in October 2026 (-47.5% month over month), ranking #15,291 of 17,609 AI websites with traffic data, and #1513 in Programming.
In October 2026, TopK’s largest markets by share of visits are United States 64.5%, India 35.5%.
In Programming, the other products with the most monthly visits are Lovable (31.1M), Cursor (23.3M), Google Antigravity (16.1M), opencode (15.4M), Feedly (12.7M).
Data month: 2026-10 · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.