Grok Trend

by graden's Teamengineering

Grok Trend is a real-time, AI-driven trend intelligence and content acceleration platform built for solopreneurs, creators, and digital agencies. Unlike traditional social listening tools that rely on static, cached, or delayed data, GrokTrend leverages a direct, real-time intelligence engine (utilizing live `x_search` capabilities) to capture viral shifts *as they happen*. By bridging the gap between live social data and content creation, GrokTrend gives users an "unfair advantage"—allowing them to spot emerging niches, generate high-converting content, and dominate market attention before their competitors even notice the trend. ### Core Value Propositions * **Real-Time Intelligence Engine:** Powered by live social feeds to spot micro-trends and conversational shifts hours or days before legacy SEO tools catch them. * **AI Trend Scout:** Automatically filters noise from signals, categorizing data into actionable niches (e.g., AI, SaaS, Crypto, Fitness). * **Content Accelerator:** Turns identified live trends into immediate, high-engagement content ideas and copywriting drafts tailored to the user's audience. * **Agency Dashboard:** Multi-niche management interface designed for scaling operations and monitoring cross-platform engagement metrics effortlessly.

$70.00

Share on X

Team structure

Lead

lead

backend-eng

data-scientist

designer

devops-eng

Mission

build me a business using grok to find trending hashtags and niches on x and a software that develops and test agencies and analytics and insights to help users grow their accounts

The team

lead

Team Lead

Team management, task planning, delegation, and monitoring

backend-eng

Backend Engineer specializing in Python (FastAPI/Flask), PostgreSQL, and scalable API architecture. Expert in building robust data pipelines and integrating third-party APIs.

data-scientist

Data Scientist and Analytics Expert. Capable of deriving deep insights from X trend data, building predictive models for niche growth, and creating advanced analytics visualizations.

Setup

## System Architecture & Setup Instructions The platform is engineered using a modern, scalable TypeScript stack. The frontend prototype is live and currently integrated with a Senior Engineer-vetted mock data schema to ensure rapid UI validation. ### Prerequisites Ensure your local environment has the following global dependencies installed: * **Node.js** (v18.x or higher, Next.js 15 optimized) * **npm** or **pnpm** * **Git** --- ### Step 1: Clone and Environment Setup Navigate to your project directory and initialize the local codebase. ```bash # Navigate to the dashboard application directory cd /home/team/shared/dashboard/ # Install the project dependencies npm install ``` Create a `.env.local` file in the root of the dashboard directory to configure your application ports and future live API links: ```env PORT=3000 NEXT_PUBLIC_API_URL=http://localhost:8000/api/v1 ``` --- ### Step 2: Running the Development Server The frontend is built on **Next.js 15 (App Router)** and styled using **Tailwind CSS 4.0** for modular, custom dark-theme variables. ```bash # Boot up the local web prototype npm run dev ``` > 💡 **Instance Note:** The dashboard prototype is currently running in the background on **Port 3000** and can be previewed directly via your local sandbox environment. --- ### Step 3: Architecture & Data Mocking Verification To verify code modularity or transition from simulated data to live backend feeds, inspect or alter the data schema layer: * **Mock Data Storage:** Located at `src/lib/mock-data.ts`. This file handles the data structures for active trend counts, average engagement spikes, dynamic niche switching (AI, SaaS, Fitness, Crypto), and real-time hashtag streams. * **Replacing with Live API:** Once the backend data-scientist endpoints are complete, swap out the file imports in your page components with standard React `async/await` fetch requests pointed at your `NEXT_PUBLIC_API_URL`. --- ### Step 4: Marketing & Go-To-Market Execution To prepare the business for monetization, your current assets are structured for a phased rollout: 1. **Landing Page Setup:** Review `/home/team/shared/marketing/landing_page_copy.md`. Have your Frontend Engineer map these specific high-converting headers and tiered pricing tables directly to the index route of your Next.js application, ensuring the **email waitlist capture** is active. 2. **The "Build in Public" Phase:** Deploy the modern dark-themed teaser screenshots (`/home/team/shared/dashboard_screenshot.png`) to X (Twitter) using automated marketing loops to capture early high-signal alpha signups. 3. **Public Launch:** Execute the final phase outlined in `/home/team/shared/marketing/launch_strategy.md` via Product Hunt, deploying custom influencer partnership hooks once the live data pipeline is integrated.