Trendsta is an AI-powered content growth platform designed to help creators and digital brands discover trends, generate high-performing content ideas, and make data-driven decisions. It combines trend analysis, automated data pipelines, and AI-generated insights into a unified system that reduces guesswork in content creation.
Content creators face several challenges:
- Difficulty identifying emerging trends early
- Lack of consistency in content performance
- No clear understanding of why content goes viral
- Heavy reliance on intuition instead of data
Existing tools either:
- Provide raw analytics without actionable insights, or
- Offer generic suggestions without context
Additionally:
- Many users do not have the time to interpret dashboards and analytics
- Even when insights are available, they are not always easy to act upon
Trendsta addresses these challenges by:
- Collecting and processing trend signals from multiple sources
- Using AI to generate:
- Content ideas
- Hooks
- Scripts
- Providing actionable insights instead of raw data
- Providing a conversational AI consultant for intuitive interaction
The system focuses on delivering usable outputs, not just analytics.
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Trendsta currently uses an n8n workflow as the core automation layer for trend detection and data collection.
The n8n workflow is responsible for:
- Scraping or collecting data from socials
- Extracting relevant signals (engagement, patterns, formats)
- Structuring this data for further processing
- Adds an intelligence layer using LLMs
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Trigger
- Invoked by backend API request or scheduled trigger for a particular user
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Data Collection
- Scrapes data from across socials media platform
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Preprocessing
- Cleans and filters raw data
- Removes irrelevant entries
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Intelligence layer
- Identifies useful indicators such as:
- Engagement patterns
- Repeated formats
- Viral hooks or structures
- Generates scripts and hashtags for user
- Identifies useful indicators such as:
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Structuring Output
- Converts processed data into a consistent format
- Saves it to relevant tables in the database
- Enables rapid prototyping of data pipelines
- Easy to modify and experiment with workflows
- Reduces initial backend complexity
- Allows quick iteration on scraping and trend logic
Trendsta includes a conversational AI consultant that allows users to interact with the system in a natural, chat-based format.
- Provides an alternative to traditional dashboards and analytics
- Allows users to directly ask questions and receive actionable insights
- Reduces the effort required to interpret complex data
- Answers queries based on processed trend and research data
- Suggests content ideas, hooks, and strategies
- Explains why certain content performs well
- Assists in decision-making for content direction and growth
- Uses a Retrieval-Augmented Generation (RAG) approach to generate responses grounded in processed trend data
- Retrieves relevant insights from the database (generated via n8n workflows)
- Incorporates context management to maintain conversation continuity
- Uses memory mechanisms to retain user-specific context across interactions
- Ensures responses are:
- Context-aware
- Data-backed
- Actionable
This allows the AI consultant to function as a stateful, personalized assistant, rather than a stateless chatbot.
- Webapp : Next.js
- Automation Layer: n8n
- Consultant AI Langchain
- State Management: Zustand
- Database: PostgreSQL
- Replace n8n workflows with a custom LangGraph-based pipeline to improve efficiency
- Improve scalability and performance of trend detection
- Multi-platform support (YouTube, LinkedIn, X)
- AI output depends on LLM quality
- Trend detection is not fully real-time
- Current workflow takes some minutes to complete the analysis
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Content creators (Instagram, YouTube, short-form platforms)
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Influencers and personal brands
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AI faceless channels
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Marketing teams and agencies
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Growth-focused startups
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AI-generated content
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Conversational AI consulting
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Actionable insights