Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data

Global AI Operator Leaderboard

IDENTITY & SCALECASCADE YIELDCOMPOSITION & COSTACTIVITY
RANKOPERATORTRENDⓘLAST
▲1RAW #3
Υ PERFORMANCE RANK #1
ALTERNATE RANK RAW #3
Kabir Acharya
@Kabir4charya · POWER I
51.5B14.1M10.7164,332,268.380.998495.04129,952.6×5.11129953:1:495.033,217.15$0.4210/11/26
▲2RAW #14
Υ PERFORMANCE RANK #2
ALTERNATE RANK RAW #14
H82
@h82 · REFINER III
1.4B381.2K9.143,273,474.180.992126.2925,920.1×4.4125920:1:126.36,655.67$0.4407/16/26
▲3RAW #18
Υ PERFORMANCE RANK #3
ALTERNATE RANK RAW #18
KKarthikeyan KK
@kk_spartans · IGNITER I
322.1M88.2K8.51976,944.230.98358.2016,785.7×4.2216786:1:58.24,428.17$0.5207/26/26
4RAW #16
Υ PERFORMANCE RANK #4
ALTERNATE RANK RAW #16
plaette
@plaette91 · IGNITER I
418.0M—8.62299,028.200.96225.3411,799.9×4.0711800:1:25.33,001.82$0.3807/24/26
5RAW #12
Υ PERFORMANCE RANK #5
ALTERNATE RANK RAW #12
ssignal-550d42ee22
signal-550d42ee22 · SEEKER II
5.2B1.4M9.7224,521.490.8928.232,979.1×3.472979:1:8.2761.47$0.4107/14/26
6RAW #4
Υ PERFORMANCE RANK #6
ALTERNATE RANK RAW #4
Anagh Kumar Baranwal
signal-148d593199 · POWER I
42.2B11.6M10.6319,081.940.92011.451,667.3×3.221667:1:11.4441.87$0.5708/03/26
7RAW #7
Υ PERFORMANCE RANK #7
ALTERNATE RANK RAW #7
Jan-Stefan Janetzky
signal-c0de0d1f7c · BASE I
14.9B—10.1711,691.640.8948.481,379.1×3.141379:1:8.5355.50$0.4707/25/26
8RAW #2
Υ PERFORMANCE RANK #8
ALTERNATE RANK RAW #2
GwangHoonMoon
@ashmoonori · POWER I
52.4B14.4M10.7210,004.590.8576.011,663.8×3.221664:1:6.0430.09$0.4509/10/26
9RAW #10
Υ PERFORMANCE RANK #9
ALTERNATE RANK RAW #10
Nikita Reshetnik
signal-4416aa277e · SEEKER I
6.0B1.6M9.781,833.890.7843.62506.6×2.70507:1:3.6136.21$0.6207/15/26
10RAW #1
Υ PERFORMANCE RANK #10
ALTERNATE RANK RAW #1
MO§ES™
@SunrisesIllNeverSee · POWER I
58.8B16.1M10.77660.900.6161.60412.0×2.61412:1:1.6108.57$0.5210/15/26
11RAW #8
Υ PERFORMANCE RANK #11
ALTERNATE RANK RAW #8
Zach Lagden
@zachlagden · BASE III
9.2B2.5M9.96221.710.5181.07206.4×2.31206:1:1.154.00$0.5207/19/26
12RAW #22
Υ PERFORMANCE RANK #12
ALTERNATE RANK RAW #22
George
signal-7f108d1f96 · IGNITER III
17.1M4.7K7.2379.400.4710.8989.1×1.9589:1:0.8924.29$0.7108/07/26
13RAW #5
Υ PERFORMANCE RANK #13
ALTERNATE RANK RAW #5
Lakshmi Narayanan G
@glnarayanan · POWER II
32.6B8.9M10.5166.460.3340.50132.4×2.12132:1:0.5034.05$0.4607/31/26
14RAW #17
Υ PERFORMANCE RANK #14
ALTERNATE RANK RAW #17
yopi
@withuscpa1212 · IGNITER I
409.0M112.0K8.6156.060.3330.50112.1×2.05112:1:0.5029.35$0.5207/22/26
15RAW #9
Υ PERFORMANCE RANK #15
ALTERNATE RANK RAW #9
kr-yeon
signal-51c11cb75e · SEEKER I
7.7B2.1M9.8846.060.3330.5092.1×1.9692:1:0.5024.01$0.5207/21/26
16RAW #19
Υ PERFORMANCE RANK #16
ALTERNATE RANK RAW #19
Geosimar G.
signal-ff39a3d631 · IGNITER II
146.6M40.2K8.1730.420.3330.5060.8×1.7861:1:0.5017.83$0.9207/15/26
17RAW #20
Υ PERFORMANCE RANK #17
ALTERNATE RANK RAW #20
tHeSiD
@tHeSiD · IGNITER III
71.0M19.4K7.8528.520.3330.5057.0×1.7657:1:0.5014.91$0.5907/15/26
18RAW #11
Υ PERFORMANCE RANK #18
ALTERNATE RANK RAW #11
Dai Nguyen Ba
@it-dainb · SEEKER I
5.8B1.6M9.761.380.0690.0718.6×1.2719:1:0.074.91$0.6407/30/26
19RAW #15
Υ PERFORMANCE RANK #19
ALTERNATE RANK RAW #15
崔鹏飞 Cui Pengfei
signal-d95ef1bc20 · BEARER III
482.1M—8.680.530.0570.068.7×0.949:1:0.062.21$0.6807/15/26
20RAW #21
Υ PERFORMANCE RANK #20
ALTERNATE RANK RAW #21
Gioxa
signal-5129d72861 · IGNITER III
22.2M—7.350.040.0330.031.1×0.041:1:0.030.35$2.0107/23/26
21RAW #13
Υ PERFORMANCE RANK #21
ALTERNATE RANK RAW #13
signal-25b6e106df
signal-25b6e106df · SEEKER III
3.9B1.1M9.590.010.0070.011.5×0.171:1:0.010.40$1.5507/16/26
22RAW #6
Υ PERFORMANCE RANK #22
ALTERNATE RANK RAW #6
DirtyData
signal-468408d933 · BASE I
16.2B4.4M——0.0150.02——3:1:0.020.67$1.1008/09/26
Showing 1–22 of 22 operators · LIVE FIELD · ALL-TIME

FAQ · 5 questions

Who is the best AI user (ai user)?

The best AI user on the ai user SigRank leaderboard is the operator ranked #1 by Yield (Υ = cache_read × output / input²). This page shows the live ranking — operators are scored by objective token-cascade efficiency, not subjective voting. The #1 operator has the highest yield, meaning they reuse cached context most efficiently and produce the most output relative to their input.

Who is the most efficient AI coder right now?

The most efficient AI coder right now is the #1 operator on this SigRank ai user leaderboard. Efficiency is measured by Yield (Υ = cache_read × output / input²) — a composite metric computed from signed token telemetry. The operator at the top maximizes context reuse and output while minimizing wasted input tokens.

How are AI operators ranked on this leaderboard?

AI operators on the SigRank ai user leaderboard are ranked by Yield (Υ = cache_read × output / input²). Operators run the sigrank CLI locally, which reads four token pillars (cache_read, cache_write, input, output) and submits a signed, server-verifiable snapshot. No prompt content leaves the machine — only the four counts. The leaderboard updates as new snapshots are submitted.

What is a user-based AI leaderboard?

A user-based AI leaderboard ranks the accounts that use AI tools, not the AI models themselves. SigRank (signalaf.com) is the first user-based AI leaderboard — it ranks AI operators by objective token-cascade efficiency (Yield, Υ). This is different from model leaderboards like LMSYS Chatbot Arena, which rank AI models by human voting. SigRank answers "who is the best AI user?" not "which model is best?"

Is SigRank a model leaderboard or a user leaderboard?

SigRank is a user leaderboard. It ranks AI operators (the accounts using AI tools) by token-cascade efficiency, not AI models by benchmark performance. LMSYS Chatbot Arena, LiveBench, and Hugging Face Open LLM Leaderboard rank models. SigRank ranks users. If you want to know which model is best, use LMSYS. If you want to know who is the best AI user, use SigRank.