Scale & Low-Cost

flowchart TB
  ROOT["RideChain 'low cost'"] --> DEL["📦 Delivery cost
(per parcel moved)"]
  ROOT --> INF["🖥️ Platform / infra cost
(per user served)"]
  DEL --> D1["Marginal / piggyback trips"]
  DEL --> D2["PUDO kills failed attempts"]
  DEL --> D3["Bundling ÷ N parcels"]
  DEL --> D4["Backhaul fills empty returns"]
  INF --> I1["Edge absorbs load (Cloudflare)"]
  INF --> I2["Geo-sharded PostGIS"]
  INF --> I3["Go = cheap per request"]
  INF --> I4["Async queues + caching"]
  classDef del fill:#e7f4ec,stroke:#1b7f4b,color:#115c36;
  classDef inf fill:#e8f0fb,stroke:#1f5fae,color:#143d6e;
  class DEL,D1,D2,D3,D4 del; class INF,I1,I2,I3,I4 inf;
        

flowchart LR
  TRIP["Trip cost
(fuel + partner time)"] --> NUM["(trip_cost − backhaul_revenue)"]
  BH["Backhaul revenue
(produce → mandi)"] --> NUM
  NUM --> DIV{"÷ parcels_per_trip
(bundling ratio N)"}
  DIV --> FAIL["× (1 + failed_attempt_rate)"]
  FAIL --> ADD["+ fixed_overhead
(fleet, hubs, idle pay)"]
  ADD --> OUT["≈ cost per parcel"]
  classDef good fill:#e7f4ec,stroke:#1b7f4b,color:#115c36;
  class NUM,DIV,FAIL good;
        

flowchart LR
  T["One milk-run trip cost
(say ~₹150 of marginal cost)"] --> N1["N = 1
→ ~₹150/parcel"]
  T --> N3["N = 3
→ ~₹50/parcel"]
  T --> N5["N = 5
→ ~₹30/parcel ✅ band"]
  T --> N8["N = 8
→ ~₹19/parcel"]
  classDef hit fill:#e7f4ec,stroke:#1b7f4b,color:#115c36;
  class N5 hit;
        

flowchart TB
  subgraph Clients["Millions of clients"]
    APPS["📱 Flutter apps + Next.js PWA
(offline-first)"]
  end
  subgraph Edge["Cloudflare edge (absorbs load first)"]
    CFW["Workers
static · cache · rate-limit · auth precheck"]
    R2["R2 object store
POD / KYC — no egress fee"]
  end
  subgraph Origin["Go modular monolith (cheap per request)"]
    API["Stateless API / BFF
(horizontal scale)"]
    HOT["Hot services peeled out:
matching · geo"]
  end
  subgraph DataT["Data tier"]
    PGP["🐘 PostgreSQL + PostGIS
primary, geo-sharded by region/block"]
    RR["🐘 Read replicas"]
    REDIS["⚡ Redis
hot/live state, per region"]
    Q["📨 Queue
notifications · reconciliation"]
  end
  APPS --> CFW
  CFW -. "cache miss / dynamic only" .-> API
  CFW --- R2
  API --> HOT
  API --> PGP
  API --> RR
  API --> REDIS
  API --> Q
  PGP --> RR
  classDef e fill:#fff3e0,stroke:#f4920b,color:#8a5200;
  classDef c fill:#e7f4ec,stroke:#1b7f4b,color:#115c36;
  classDef d fill:#e8f0fb,stroke:#1f5fae,color:#143d6e;
  class CFW,R2 e; class API,HOT c; class PGP,RR,REDIS,Q d;
        

flowchart LR
  USERS["Users across India"] --> SK{"Shard key = region / block"}
  SK --> B1["Block A shard
PostGIS + Redis"]
  SK --> B2["Block B shard
PostGIS + Redis"]
  SK --> B3["Block C shard
PostGIS + Redis"]
  SK --> BN["Block N shard
add as you grow"]
  classDef sh fill:#e8f0fb,stroke:#1f5fae,color:#143d6e;
  class B1,B2,B3,BN sh;
        

flowchart TB
  subgraph Naive["❌ Naive 'always-on cloud' bill"]
    NA["Per-user always-on servers"] --> NB["Cost climbs ~linearly
with REGISTERED users"]
    NB --> NC["Idle users still burn compute
→ bill explodes at millions"]
  end
  subgraph RC["✅ RideChain shape"]
    RA["Edge absorbs + R2 no-egress"] --> RB["Compute scales with ACTIVE jobs"]
    RB --> RD["DB sharded by geography"]
    RD --> RE["Cost curve bends sub-linear per MAU"]
  end
  classDef bad fill:#fdecea,stroke:#c0392b,color:#7d211a;
  classDef good fill:#e7f4ec,stroke:#1b7f4b,color:#115c36;
  class NA,NB,NC bad; class RA,RB,RD,RE good;