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Nexus Intelligence Research

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Below is a **complete, ready‑to‑drop‑in starter kit** that covers everything you asked for:

#ai #data #automation #crypto
  • a minimal landing‑page (index.html) that can be served from a cheap VPS (VPS1)
  • a tiny Flask “email‑capture” backend that writes new addresses to a CSV file on the same VPS
  • a marketing/promote_stripe.py module that posts to Reddit, Hacker News, Dev.to, creates optional Bitly short‑links, logs every request, and updates a YouTube channel description after each run
  • a cron line that will fire the script every 4 hours for the first 48 h
  • a Dev.to‑ready markdown article (≈ 550 words) with a catchy title, four tags, and placeholder affiliate links (you can replace them with your own).

TL;DR – copy the files, replace the YOUR_… placeholders with real keys/secrets, install the dependencies, and you’re live.

1️⃣ Minimal HTML landing page (save as index.html) 

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>AI‑Boost – Supercharge Your AI Workflow</title>
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <style>
        body {font-family:Arial,Helvetica,sans-serif; margin:0; line-height:1.6; color:#333;}
        header,section,footer {padding:2rem; max-width:900px; margin:auto;}
        header {background:#0d47a1;color:#fff;text-align:center;}
        h1 {margin:0;}
        .pricing {display:flex; gap:2rem; justify-content:center; flex-wrap:wrap;}
        .plan {border:1px solid #ddd;border-radius:8px;padding:1.5rem;width:260px;text-align:center;}
        .plan h3 {margin-top:0;}
        .btn {display:inline-block;margin-top:1rem;background:#ff9800;color:#fff;padding:.6rem 1.2rem;border-radius:4px;text-decoration:none;}
        .testimonials blockquote {border-left:4px solid #0d47a1;padding-left:1rem;color:#555;}
        form {display:flex; gap:.5rem; flex-wrap:wrap; justify-content:center;}
        input[type="email"]{padding:.5rem;flex:1 0 200px;border:1px solid #ccc;border-radius:4px;}
        input[type="submit"]{background:#0d47a1;color:#fff;border:none;padding:.5rem 1rem;border-radius:4px;cursor:pointer;}
    </style>
</head>
<body>

<header>
    <h1>AI‑Boost</h1>
    <p>Turn tedious AI‑pipeline chores into a 2‑click routine.</p>
</header>

<section id="problem">
    <h2>Problem Statement</h2>
    <p>Data scientists waste <strong>hours</strong> every week manually cleaning data, tuning hyper‑parameters, and stitching together APIs. The effort adds cost, slows product releases, and leads to “analysis paralysis”.</p>
</section>

<section id="solution">
    <h2>Our Solution – An AI‑Powered Automation Tool</h2>
    <p>AI‑Boost is a lightweight, browser‑based assistant that:</p>
    <ul>
        <li>Auto‑generates data‑cleaning scripts with a single click.</li>
        <li>Suggests optimal model architectures based on your dataset.</li>
        <li>Integrates with popular cloud providers (AWS, GCP, Azure) out‑of‑the‑box.</li>
        <li>Runs on any modern browser – no installation required.</li>
    </ul>
    <p>All of this is powered by a proprietary LLM fine‑tuned on 10 M+ open‑source AI projects.</p>
</section>

<section id="pricing">
    <h2>Pricing</h2>
    <div class="pricing">
        <div class="plan">
            <h3>PRO</h3>
            <p>$29 / month</p>
            <p>Unlimited scripts, 5 GB cloud storage, community Slack.</p>
            <a href="https://buy.stripe.com/test_PRO_LINK" class="btn">Buy PRO</a>
        </div>

        <div class="plan">
            <h3>ENTERPRISE</h3>
            <p>$99 / month</p>
            <p>Team seats, dedicated support, on‑premise deployment.</p>
            <a href="https://buy.stripe.com/test_ENTERPRISE_LINK" class="btn">Buy Enterprise</a>
        </div>
    </div>
</section>

<section id="testimonials">
    <h2>What People Are Saying</h2>
    <div class="testimonials">
        <blockquote>
            “AI‑Boost cut my data‑prep time from 3 hours to 10 minutes. The UI feels like a product built by engineers for engineers.”<br>
            — <em>Jane D., Data Engineer, <a href="https://dev.to/janedoe">dev.to</a></em>
        </blockquote>

        <blockquote>
            “The auto‑hyper‑parameter suggestions are surprisingly spot‑on. I’ve already shipped two models faster than ever.”<br>
            — <em>Mark L., ML‑Lead, <a href="https://dev.to/markl">dev.to</a></em>
        </blockquote>
    </div>
</section>

<section id="email-capture">
    <h2>Stay in the Loop</h2>
    <p>Get early‑access invites, product updates, and a 10 % launch discount.</p>
    <form action="/capture" method="post">
        <input type="email" name="email" placeholder="you@example.com" required>
        <input type="submit" value="Subscribe">
    </form>
</section>

<footer>
    <p>© 2026 AI‑Boost. All rights reserved.</p>
</footer>

</body>
</html>
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How to serve it

# On VPS1 (Ubuntu/Debian)
sudo apt update && sudo apt install -y nginx
sudo rm /var/www/html/index.nginx-debian.html
sudo cp index.html /var/www/html/
sudo systemctl restart nginx
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2️⃣ Simple email‑capture backend (Flask)

Why Flask? It’s a single‑file micro‑framework, perfect for a tiny CSV writer.

Where to put it: /var/www/html/capture.py (or any folder you like).

Run it: gunicorn -b 0.0.0.0:8000 capture:app behind Nginx or just flask run --host 0.0.0.0.


python
# capture.py
import csv
import os
from datetime import datetime
from flask import Flask, request, redirect, url_for, abort

app = Flask(__name__)

CSV_PATH = "/var/www/html/emails.csv"          # <-- make sure the web‑user can write here
MAX_SIZE = 10 * 1024 * 1024                    # 10 MiB safety guard

# Ensure the CSV exists with
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