TL;DR — This guide walks you through building a portfolio/CV side project that combines real-time WebSockets, a Supabase backend, Stripe payments, and a Telegram bot, giving you concrete, deployable code that signals strong systems skills to hiring managers.

In a crowded job market, a static résumé is no longer enough. A live, interactive portfolio demonstrates that you can ship full‑stack features, handle real‑time data, and integrate third‑party services—all skills that recruiters look for in senior engineering roles.

Why This Project Stands Out on a CV

  • Real‑time data streaming – WebSockets show you understand persistent connections, back‑pressure, and event‑driven architecture.
  • Serverless backend – Supabase proves you can leverage managed PostgreSQL with row‑level security and real‑time subscriptions.
  • Payment integration – Stripe signals experience with PCI‑DSS‑compliant flows, idempotency, and webhook handling.
  • Conversational interface – A Telegram bot demonstrates ability to build stateless, long‑polling services and integrate external APIs.
  • Custom internal libraries – The modules ultrathink, triangle dp, top500, subagents, and reactloop showcase your capacity to design, document, and reuse code—something senior engineers do daily.

Architecture Overview

┌─────────────┐      WebSocket      ┌──────────────────┐
│   React     │ ◄──────────────────► │   FastAPI +      │
│  Frontend   │                      │   ultrathink     │
└──────┬──────┘                      └───────┬──────────┘
       │                                   │
       │ REST / GraphQL                    │ Pub/Sub
       ▼                                   ▼
┌─────────────┐                      ┌───────────────┐
│  Supabase   │ ◄──────────────────► │  subagents    │
│  (Postgres) │                      │  (background) │
└─────────────┘                      └───────┬───────┘
                                            │
                                            ▼
                                   ┌─────────────────┐
                                   │  Stripe /       │
                                   │  Telegram Bot   │
                                   └─────────────────┘
  • reactloop – A React hook that manages WebSocket subscriptions, handling reconnects and state synchronization.
  • ultrathink – A lightweight in‑memory store that mirrors Supabase real‑time updates for instant UI feedback.
  • triangle dp – A data‑processing pipeline that aggregates portfolio metrics (views, clicks, payments) into a time‑series store.
  • top500 – A leaderboard service that ranks users based on activity, powered by Supabase edge functions.
  • subagents – Independent worker processes (e.g., email notifications, analytics) that communicate via a Redis‑backed queue.

Building It Step by Step

1. Scaffold the Project

mkdir portfolio-cv && cd portfolio-cv
npm init -y
npm install react react-dom next stripe @supabase/supabase-js
mkdir pages api components lib

2. Backend API (FastAPI)

Create api/main.py:

from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Depends, HTTPException
from supabase import create_client, Client
import os
import json
import stripe
from typing import List

app = FastAPI()

# Supabase client
supabase: Client = create_client(
    os.getenv("SUPABASE_URL"),
    os.getenv("SUPABASE_ANON_KEY")
)

# Stripe configuration
stripe.api_key = os.getenv("STRIPE_SECRET_KEY")

class ConnectionManager:
    def __init__(self):
        self.active_connections: List[WebSocket] = []

    async def connect(self, websocket: WebSocket):
        await websocket.accept()
        self.active_connections.append(websocket)

    def disconnect(self, websocket: WebSocket):
        self.active_connections.remove(websocket)

    async def broadcast(self, message: str):
        for connection in self.active_connections:
            await connection.send_text(message)

manager = ConnectionManager()

@app.get("/health")
def health():
    return {"status": "ok"}

@app.post("/create-checkout-session")
async def create_checkout_session(price_id: str):
    try:
        session = stripe.checkout.Session.create(
            payment_method_types=["card"],
            line_items=[{"price": price_id, "quantity": 1}],
            mode="payment",
            success_url="https://yourdomain.com/success",
            cancel_url="https://yourdomain.com/cancel"
        )
        return {"url": session.url}
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await manager.connect(websocket)
    try:
        while True:
            data = await websocket.receive_text()
            # Echo or process incoming messages
            await manager.broadcast(f"Portfolio update: {data}")
    except WebSocketDisconnect:
        manager.disconnect(websocket)

3. Supabase Schema

Run in the Supabase SQL editor:

create table if not exists profiles (
    id uuid references auth.users on delete cascade primary key,
    full_name text,
    bio text,
    avatar_url text
);

create table if not exists metrics (
    id bigint generated always as identity primary key,
    profile_id uuid references profiles(id),
    event text not null,
    created_at timestamptz default now()
);

alter table profiles enable row level security;
alter table metrics enable row level security;

create policy "Public profiles are viewable by everyone"
on profiles for select using (true);

create policy "Users can insert their own profile"
on profiles for insert with check (auth.uid() = id);

4. reactloop – WebSocket Hook

lib/reactloop.ts:

import { useEffect, useState } from 'react';

export function useWebSocket(url: string) {
    const [ws, setWs] = useState<WebSocket | null>(null);
    const [messages, setMessages] = useState<string[]>([]);

    useEffect(() => {
        const socket = new WebSocket(url);
        setWs(socket);

        socket.onopen = () => console.log('WebSocket connected');
        socket.onmessage = (event) => {
            setMessages(prev => [...prev, event.data]);
        };
        socket.onclose = () => console.log('WebSocket disconnected');
        socket.onerror = (err) => console.error('WebSocket error', err);

        return () => socket.close();
    }, [url]);

    return { ws, messages };
}

5. Frontend Component

components/PortfolioDashboard.tsx:

import { useWebSocket } from '../lib/reactloop';
import { useEffect, useState } from 'react';

export default function PortfolioDashboard() {
    const { messages } = useWebSocket('ws://localhost:8000/ws');
    const [profile, setProfile] = useState<any>(null);

    useEffect(() => {
        // Fetch profile from Supabase
        fetch('/api/profile').then(res => res.json()).then(setProfile);
    }, []);

    return (
        <div>
            <h1>{profile?.full_name || 'Loading...'}</h1>
            <ul>
                {messages.map((msg, idx) => <li key={idx}>{msg}</li>)}
            </ul>
        </div>
    );
}

6. Telegram Bot (Python)

bot/telegram_bot.py:

import os
from telegram import Update
from telegram.ext import Updater, CommandHandler, CallbackContext

def start(update: Update, context: CallbackContext):
    update.message.reply_text("Hi! I'm your portfolio assistant. Send /metrics to see live stats.")

def metrics(update: Update, context: CallbackContext):
    # Query Supabase for latest metrics
    # Example: response = supabase.table('metrics').select('*').execute()
    update.message.reply_text("Latest views: 128, clicks: 57, payments: 3")

def main():
    updater = Updater(os.getenv("TELEGRAM_BOT_TOKEN"), use_context=True)
    dp = updater.dispatcher
    dp.add_handler(CommandHandler("start", start))
    dp.add_handler(CommandHandler("metrics", metrics))
    updater.start_polling()
    updater.idle()

if __name__ == "__main__":
    main()

7. triangle dp – Aggregation Pipeline

lib/triangle_dp.py:

import asyncio
from supabase import create_client, Client

async def aggregate_metrics():
    supabase: Client = create_client(
        os.getenv("SUPABASE_URL"),
        os.getenv("SUPABASE_SERVICE_KEY")
    )
    # Simple triangular aggregation: sum events per hour
    response = supabase.table('metrics') \
        .select('created_at, event') \
        .gte('created_at', 'now() - interval \'1 hour\'') \
        .execute()
    # Process data...
    print("Aggregated metrics:", response.data)

# Run as a subagent
asyncio.run(aggregate_metrics())

8. top500 Leaderboard (Edge Function)

supabase/functions/top500/index.ts:

import { createClient } from '@supabase/supabase-js';
import { serve } from 'https://deno.land/std@0.160.0/server/mod.ts';

serve(async (req) => {
  const supabase = createClient(
    Deno.env.get('SUPABASE_URL')!,
    Deno.env.get('SUPABASE_ANON_KEY')!
  );

  const { data, error } = await supabase
    .from('profiles')
    .select('id, full_name, metrics(count)')
    .order('metrics.count', { ascending: false })
    .limit(500);

  if (error) return new Response(JSON.stringify(error), { status: 500 });
  return new Response(JSON.stringify(data), { headers: { 'Content-Type': 'application/json' } });
});

Running and Testing It

  1. Start the API

    cd api && uvicorn main:app --reload

  2. Run the Telegram bot

    python bot/telegram_bot.py

  3. Launch the frontend

    npm run dev

  4. Verify WebSocket
    Open ws://localhost:8000/ws in a browser console or use websocat:

    websocat ws://localhost:8000/ws

  5. Test Stripe Checkout
    POST to /create-checkout-session with a valid price_id and follow the returned URL.

  6. Check Supabase Realtime
    Insert a row in the metrics table; you should receive a WebSocket message instantly.

Extending It: Your Roadmap to Senior-Level

  1. Persistent Session Store – Replace in‑memory ConnectionManager with Redis to survive restarts and enable horizontal scaling.
  2. Horizontal Scaling – Deploy the API behind a load balancer; use sticky sessions or a shared Redis pub/sub to broadcast WebSocket messages across instances.
  3. Observability – Add OpenTelemetry traces and Prometheus metrics; ship logs to ELK to debug latency spikes in real‑time pipelines.
  4. Fault Tolerance – Implement dead‑letter queues for failed Stripe webhooks and Telegram messages; use exponential backoff and idempotency keys.
  5. Benchmarking – Write a Locust script that simulates 1,000 concurrent WebSocket connections to measure throughput and identify bottlenecks in ultrathink.
  6. CI/CD Pipeline – Containerize the service with Docker, push to GitHub Container Registry, and set up a GitHub Actions workflow that runs integration tests on every push.

Key Takeaways

  • Real‑time UI is achievable with WebSockets and a lightweight state mirror like ultrathink.
  • Serverless backends (Supabase, Edge Functions) reduce ops overhead while still offering row‑level security.
  • Third‑party integrations (Stripe, Telegram) demonstrate you can handle external APIs, webhooks, and idempotency.
  • Custom internal libraries (reactloop, triangle dp, subagents) signal the ability to design reusable, testable code.
  • Production readiness comes from adding persistence, scaling, observability, and automated testing.

Further Reading