Brands Lord is an advanced AI Web Intelligence Platform designed for investors and analysts. Enter any asset or sector (NVDA, Apple, Gold) to get instant live executive summaries on a glassmorphic terminal and verified 4-page institutional PDF reports dispatched to your inbox.
Hey Product Hunt community! π
Iβm thrilled to introduce Brands Lord AI today! π
As an investor and developer, Iβve always been frustrated by how much time it takes to sift through endless news feeds, financial charts, and contradictory market sentiment just to understand where an asset or competitor is heading.
Thatβs why we built Brands Lord AI Market Radar:
β¨ Real-Time Terminal Intelligence: Enter any ticker, asset, or sector (e.g., NVDA, Apple, Gold, Global Economy) and watch our engine synthesize real-time news and financial sentiment directly onto our glassmorphic terminal.
π 4-Page Institutional PDF Reports: Need something to present or read offline? Our backend instantly compiles and delivers a verified, highly structured 4-page strategic analysis straight to your corporate inbox.
It is completely free to try right now at brandslord.online.
I would love for you to test your favorite stocks, crypto, or commodities and let me know your honest thoughts, feedback, or feature requests in the comments below! Thank you so much for your support! ππ
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Hey r/SideProject,
I wanted to share my latest build: Brands Lord (https://brandslord.online). It is a real-time AI-powered financial market radar designed to scan assets, sectors, or competitors and deliver an institutional-grade 4-page PDF intelligence report straight to your inbox.
Why I built this:
Traditional financial terminals are either heavily bloated, gated behind massive paywalls, or don't synthesize live web intelligence dynamically. I wanted a fast, dark-mode terminal environment that does the heavy lifting for you.
The Tech Stack & Architecture:
- Frontend: Next.js (App Router), React, and Tailwind CSS. Built with a focus on glassmorphism panels and dynamic marquee animations for that modern trading desk feel.
- Backend & Automation: Powered entirely by an n8n webhook infrastructure. It utilizes a sequential HTTP request pipeline ("wagon system") to scrape real-time datasets via Yahoo Finance.
- Data Processing: A custom n8n Code node cleans, transforms, and pipes the raw data directly back into Next.js edge API endpoints.
- Delivery: The same workflow dynamically compiles the 4-page PDF and fires it to the user via an automated mail node.
We are officially launching on Product Hunt TODAY! If you like the project, I would deeply appreciate your support and feedback there as well.
Iβd love to know: What specific financial metrics or alternative datasets should our AI scrapers integrate next? Looking forward to your honest feedback!
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Hey r/SideProject,
I wanted to share my latest build: Brands Lord (https://brandslord.online). It is a real-time AI-powered financial market radar designed to scan assets, sectors, or competitors and deliver an institutional-grade 4-page PDF intelligence report straight to your inbox.
Why I built this:
Traditional financial terminals are either heavily bloated, gated behind massive paywalls, or don't synthesize live web intelligence dynamically. I wanted a fast, dark-mode terminal environment that does the heavy lifting for you.
The Tech Stack & Architecture:
- Frontend: Next.js (App Router), React, and Tailwind CSS. Built with a focus on glassmorphism panels and dynamic marquee animations for that modern trading desk feel.
- Backend & Automation: Powered entirely by an n8n webhook infrastructure. It utilizes a sequential HTTP request pipeline ("wagon system") to scrape real-time datasets via Yahoo Finance.
- Data Processing: A custom n8n Code node cleans, transforms, and pipes the raw data directly back into Next.js edge API endpoints.
- Delivery: The same workflow dynamically compiles the 4-page PDF and fires it to the user via an automated mail node.
We are officially launching on Product Hunt TODAY! If you like the project, I would deeply appreciate your support and feedback there as well.
Check out the live terminal here: https://brandslord.online
Iβd love to know: What specific financial metrics or alternative datasets should our AI scrapers integrate next? Looking forward to your honest feedback!