DEV Community: Dope Mania

It one thing to build a project and it's another thing to get users. Asides paying for ads hiw does one market a product organically

Dope Mania — Thu, 19 Mar 2026 14:42:49 +0000

Advanced Solana Whale Tracker (User friendly)

Dope Mania — Wed, 11 Mar 2026 20:25:44 +0000

Technical Highlights
Language: Python 3.10+
Core Logic: Fully asynchronous for real-time RPC monitoring.
Modularity: Clean, documented code structure. Easy to add new strategies or swap logic.
Monetization Ready: Built-in subscription model logic (not just buyer-based).
📦 Included Features
Module Features
-Wallet Tracking Real-time whale monitoring, /setamount filters, add/list/remove wallets.
-Trading Tools Integrated /swap (0.5% fee capability), /trending tokens dashboard.
-Admin Suite Full control over /trial periods, /stats, and wallet discovery.
-Broadcast Engine Multi-channel broadcasting, automated trend posting, and global announcements.

-Analyze whale wallets enables you get full analysis on whales trading style, buys and sell rate and other info needed to help trading easy.
-Referral system
-/Ai recommendation allows for full detailed analysis on trending tokens.
Test bot features SolTradebot
Request for trial to test premuim Features for free for 7 days!!!
Contact Admin @Davdthe

💎 What You Get
Full Source Code (No obfuscation).
Environment Setup Guide (.env configuration, RPC requirements).
Database Schema (Optimized for user management and wallet tracking).
Short Handover Call to explain the architecture and deployment.

WTS] Full Source Code: Python Solana Whale Tracker & Admin Suite - $1000

Dope Mania — Tue, 03 Mar 2026 10:29:35 +0000

I am selling the full source code for a production-ready Solana Telegram Bot. I built this from the ground up using Python (Asyncio) and it is fully optimized for speed and high-concurrency wallet tracking.
💰 Why buy this?
Instead of spending 100+ hours wrestling with solders and solana-py or paying a dev $5k+ for a custom build, you get a battle-tested foundation. You can launch your own subscription service (SaaS) immediately.
🚀 Technical Highlights
Language: Python 3.10+
Core Logic: Fully asynchronous for real-time RPC monitoring.
Modularity: Clean, documented code structure. Easy to add new strategies or swap logic.
Monetization Ready: Built-in subscription model logic (not just buyer-based).
📦 Included Features
Module Features
-Wallet Tracking Real-time whale monitoring, /setamount filters, add/list/remove wallets.
-Trading Tools Integrated /swap (0.1% fee capability), /trending tokens dashboard.
-Admin Suite Full control over /trial periods, /stats, and wallet discovery.
-Broadcast Engine Multi-channel broadcasting, automated trend posting, and global announcements.

UnilagHub: Solving the Housing Crisis for UNILAG Students

Dope Mania — Sat, 28 Feb 2026 23:37:32 +0000

This is a submission for the DEV Weekend Challenge: Community

The Community

The University of Lagos (UNILAG) is one of Nigeria's most populated institutions. Every year, thousands of students face the daunting task of finding safe and affordable off-campus housing. The community is often plagued by unreliable agents, lack of transparency in pricing, and the difficulty of finding "squatting" or shared-room options. I built this for students who need a central, verified hub to secure their living space without the fear of being scammed.As a student of the University i saw tgis hurdle and decided to profer this solution

What I Built

I developed a web application ;a dedicated housing portal—specifically for UNILAG students. The app allows users to:
Browse Verified Listings: Access over verified off-campus housing and squatting options.
One-Time Access Model: Instead of recurring agent fees, students pay a small one-time fee (₦5,000) for access, ensuring the platform remains sustainable and the listings high-quality.
24/7 Support: A dedicated support system to help students navigate their search and verify details.

Demo

You can access the web app here: UNILAGHUB

Code

Git repo

How I Built It

To ensure the app was fast and responsive for mobile-first student users, I used the following stack:
Frontend: Next.js 14 (App Router), TypeScript, Tailwind CSS
Backend: Supabase (Auth & PostgreSQL)
Payments: Paystack API
Deployment: Vercel (recommended)