PRODUCT · LIVE
Fatumu.com
Calibrated probability estimates for the questions that do not have clean answers. A three-model LLM ensemble (Claude, GPT-4.1, Gemini), an inverse-CI95 Bayesian average, and a polished PDF report — built by the studio on the same Cloudflare stack.
What it is
A forecasting SaaS for founders, investors, traders and analysts. Ask a question with a verifiable outcome ("Will AAPL close above $250 on 30 June 2026?") and Fatumu runs it through a three-stage pipeline: ensemble inference, Bayesian calibration, narrative + Typst PDF render.
Why we built it
Most forecasting tools produce vague directional opinions. Fatumu produces calibrated probabilities — predictions that, over a sufficient sample, match observed reality. It is also the studio's proof-of-stack for ensemble LLM orchestration, calibrated outputs and report generation: everything we use here transfers directly to client work.
Stack
- Next.js 16 on Cloudflare Workers (app, consumer, webhook)
- Cloudflare D1, R2, KV and Queues
- Cloudflare AI Gateway → OpenRouter (Claude Sonnet 4.6, GPT-4.1, Gemini 2.5 Pro)
- Custom auth (Argon2id + HMAC pepper, PKCE OAuth, opaque sessions)
- Stripe + Stripe Tax · Resend · Cloudflare Turnstile
- Native Android (Kotlin / Compose) and iOS (Swift / SwiftUI) apps