Prediction loops, scoring, and community mechanics

Market products need engagement without pretending to be advice.

Stock Pick Ranker proves a different kind of AI product: prediction as a daily loop. The system turns forecasts, risk preferences, scoring, streaks, leagues, and leaderboards into a consumer-facing engagement engine.

Discuss prediction productsView portfolio proof
Stock Pick Ranker architecture
Daily PicksScoringStreaksLeaderboards

Portfolio proof

Built systems behind the pattern.

Live product surface

Stock Pick Ranker

Daily prediction game with AI-assisted picks

A daily stock price prediction game that combines forecasts, points, leagues, achievements, and AutoPick preferences.

Operating problem

Turn market prediction into a repeatable engagement loop with scoring, streaks, leaderboards, and AI-assisted participation.

Next.jsPrismaGame LoopsAutoPick

Next.js product surface with Prisma/Postgres, X OAuth, scoring workflows, leaderboards, and AutoPick settings.

Daily prediction, scoring, and streak mechanics

Leaderboards, leagues, and achievements

AI-assisted pick settings framed as gameplay, not advice

Retail market followersCreatorsCommunity builders
Discuss this patternVisit site

Why it is different

Architecture before automation.

Market prediction products need a clear line between gameplay, analytics, and advice. The architecture emphasizes transparent rules, repeatable scoring, retention loops, and responsible product framing.

Explainable outputs
Governed workflows
Client-owned IP

Bring the problem. Leave with a system sketch.

A 45-minute working session with the architect to map the opportunity, architecture constraints, and first production increment.

Discuss prediction products