Team Paradox
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System Index · 04/Active/2024 — Present

Perkify

Perks & recommendations platform — Next.js + Express/JWT/Prisma/Postgres and a FastAPI assistant that assists without impersonating intelligence.

Project Lead
Abhiuday Pratap SinghLead — Frontend InteractionLead's Portfolio

01 — System Overview & Primary Intent

Perkify is a specialized system engineered by Team Paradox in Gorakhpur, led by Abhiuday Pratap Singh. Benefits and perks discovery was generic and inauthentic. Needed contextual recommendations with honest labeling.

02 — Architecture & Flow

01

Next.js app, Express API with JWT/Prisma

02

FastAPI microservice for assistant + recs

03

Supabase for media + auth supplement

04

QR / SMTP / event flows

03 — Engineering Decisions & Rationale

  • Recommendations labelled 'heuristic' unless evaluated
  • Assistant isolated as microservice for independent scaling
  • Prisma as single schema source

04 — Known Limitations & Failure Modes

Recommendation quality bounded by perk catalogue size
No trained ranking model — rules + embeddings only
Email deliverability via SMTP limits bursts

Observed Tech Stack

Next.jsExpressPrismaPostgreSQLFastAPIJWT

Engineering Governance

All systems undergo internal peer review with strict claims verification. We do not publish simulated benchmarks, fake testimonial quotes, or obfuscated AI wrappers without deterministic fallbacks.

Studio: Team Paradox · Gorakhpur, Uttar Pradesh, India
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