At Tahmin

Sports Analytics / Consumer AI Applications

TJK-synced horse racing analysis platform using a 7-model ensemble for statistical probabilities.

What it does Problems solved Product strength Best-fit scenarios Architecture

What does it do?

At Tahmin syncs TJK data and produces horse-racing probabilities with a 7-model ensemble. A BANKO/VALUE/CHAOS layer, live progress, and post-race metrics support decisions.

What problems does it solve?

Weak predictions tied to a single model

No visibility into live analysis progress

Missing post-race calibration

Need for personalized favorites / coupons

What is the product strength?

7-model ensemble

Hangfire + SignalR live progress

Brier / LogLoss post-race metrics

JWT and favorite personalization

Where is it most effective?

High-volume race days

Stats-driven betting / analysis users

Express all-race analysis

Periods that require measuring model performance

Gartner category

Sports Analytics / Consumer AI Applications

Website

https://at.seed.tr

Argus connection

SeedCom / shared auth bridge available for notification and identity needs.

Screenshots

Capabilities

Ensemble engine

Market, Weighted, Logistic, GBDT, Pace, Statistical, Ranking.

Express analysis

Sequential all-race analysis and coupon suggestions.

Live progress

Hangfire + SignalR; nightly pre-analysis.

Architecture

At Tahmin includes TJK sync, a 7-model ensemble (Market, Weighted, Logistic, GBDT, Pace, Statistical, Ranking), Hangfire + SignalR live progress, BANKO/VALUE/CHAOS layer, post-race Brier/LogLoss, and JWT personalization.

TJK sync
7-model ensemble
Hangfire + SignalR
BANKO/VALUE/CHAOS · metrics

Highlights

at.seed.tr
Post-race Brier / LogLoss
JWT and favorite personalization
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