Phoenix - Your AI AssistantFull Stack Developer for creating statistical analysis SaaS
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Sukkur 
Description
Experience Level: Expert
I am looking for a Senior Full Stack Developer to develop a platform for statistical analysis and game history at betting houses, replicating the features of the Tipminer website.
Exact reference: https://www.tipminer.com/en
What needs to be done:
Real-Time Monitoring (Core):
Create a system (Scraper/Sniffer) capable of reading game results on our platform via WebSocket or API Reverse Engineering.
The data must arrive on the dashboard with zero latency (as soon as the round ends).
Anti-blocking system (circumvent Cloudflare/Protections) to ensure stability.
Frontend (Dashboard):
Responsive layout (Mobile and Desktop) similar to the reference.
Candlestick history grid with conditional coloring (Blue, Purple, Pink).
Statistical graphs of accuracy, patterns, and paying times.
Backend & Database:
Store complete round history.
Automatic calculation of strategies (e.g., candlestick patterns, sequences, gale).
Mandatory Technical Requirements:
Backend: Node.js, Python, or Go.
Frontend: React, Vue.js, or Next.js.
Connection: Advanced experience with WebSockets (WSS) and network sniffing.
Database: PostgreSQL or MongoDB.
Deliverables:
Complete source code (Frontend + Backend).
Installation and configuration on the server (VPS).
Basic documentation on how to add new “houses” in the future (if applicable).
Attention Candidates: Do not send generic proposals. This project requires knowledge of intercepting WebSocket traffic from iGaming sites. If you already have experience with casino APIs or similar projects (Tipminer, Tiphunter), mention this at the top of your proposal.
Mandatory questions for the proposal:
Do you have experience capturing data via WebSocket (WSS) from protected websites?
What stack/technology will you use to ensure minimal delay?
Do you have a portfolio of projects related to iGaming or real-time dashboards?
What stack/technology will you use to ensure minimal delay?
Do you have a portfolio of projects related to iGaming or real-time dashboards?
Exact reference: https://www.tipminer.com/en
What needs to be done:
Real-Time Monitoring (Core):
Create a system (Scraper/Sniffer) capable of reading game results on our platform via WebSocket or API Reverse Engineering.
The data must arrive on the dashboard with zero latency (as soon as the round ends).
Anti-blocking system (circumvent Cloudflare/Protections) to ensure stability.
Frontend (Dashboard):
Responsive layout (Mobile and Desktop) similar to the reference.
Candlestick history grid with conditional coloring (Blue, Purple, Pink).
Statistical graphs of accuracy, patterns, and paying times.
Backend & Database:
Store complete round history.
Automatic calculation of strategies (e.g., candlestick patterns, sequences, gale).
Mandatory Technical Requirements:
Backend: Node.js, Python, or Go.
Frontend: React, Vue.js, or Next.js.
Connection: Advanced experience with WebSockets (WSS) and network sniffing.
Database: PostgreSQL or MongoDB.
Deliverables:
Complete source code (Frontend + Backend).
Installation and configuration on the server (VPS).
Basic documentation on how to add new “houses” in the future (if applicable).
Attention Candidates: Do not send generic proposals. This project requires knowledge of intercepting WebSocket traffic from iGaming sites. If you already have experience with casino APIs or similar projects (Tipminer, Tiphunter), mention this at the top of your proposal.
Mandatory questions for the proposal:
Do you have experience capturing data via WebSocket (WSS) from protected websites?
What stack/technology will you use to ensure minimal delay?
Do you have a portfolio of projects related to iGaming or real-time dashboards?
What stack/technology will you use to ensure minimal delay?
Do you have a portfolio of projects related to iGaming or real-time dashboards?
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Barbosa — quick question, so I don’t misunderstand the scope:
When you mention “replicating Tipminer,” do you mean only the dashboard layer (history storage + candlestick grid + stats/graphs fed by an existing API you already have), or do you also need the data capture layer as well — i.e., reverse-engineering/intercepting the WSS traffic from protected betting houses (Cloudflare/anti-bot) and streaming results into the dashboard in near real time?
Just want to confirm which of these you need before I outline the technical approach.
Many thanks
Vah