Fraime - Sell Project

Project Overview

Startup descriptionMy product is an AI video editing chatbot on the Telegram platform. It allows users to perform complex video editing tasks, such as face-swapping and AI-driven video enhancement, directly within their messenger app.I built my bot as my first side project with the mission to create the most accessible tool for producing and editing engaging video content. It started as an AI video restyling concept, but due to the tech limitations in 2023, the first production-ready tool was vi...

Detailed Description

Startup description

My product is an AI video editing chatbot on the Telegram platform. It allows users to perform complex video editing tasks, such as face-swapping and AI-driven video enhancement, directly within their messenger app.

I built my bot as my first side project with the mission to create the most accessible tool for producing and editing engaging video content. It started as an AI video restyling concept, but due to the tech limitations in 2023, the first production-ready tool was video faceswap, with video enhancement introduced later. The core idea was to give people with zero video editing skills a simple tool that requires no registrations or installs, is accessible within a messenger with over a billion users, and is safe and privacy-oriented. We were among the first of such chatbots in 2023, providing users with the ability to create UGC for social media and personal use.

Key highlights:

  1. Annual Revenue (Last 12mo): $3,525
  2. Annual Profit (Last 12mo): $1,625
  3. Net Profit Margin: 46.1%
  4. Customer Churn Rate: 31% (Monthly, 90-day window)
  5. LTV: $14.48
  6. CAC: $0
  7. Conversion Rate (User to Paying): 1.73% (A 7x improvement since launch)
  8. Organic Growth: Acquired 23,066 new users in the last 12 months with zero ad spend.

Team

The business is run by a solo founder (myself). I am responsible for all aspects of the business, including back-end and front-end development, product management, customer support, and strategic operations.

Tech Stack

  1. Backend: Python
  2. Database: PostgreSQL
  3. Infrastructure: Docker for containerization
  4. AI Processing: We leverage serverless GPUs on RunPod, utilizing various models, including Llama Visio,n for specific tasks.

Marketing and growth

Growth has been 100% organic, resulting in a $0 Customer Acquisition Cost. The project has never had a formal marketing campaign.

Our main growth drivers have been word-of-mouth and a few Reddit posts. The bot's native integration within Telegram allows for frictionless sharing, creating viral loops that have attracted over 214,000 users since inception, including 23,066 in the last 12 months alone.

Revenue and profit

The business has undergone a successful optimization phase. The financials show a transition from a capital-intensive R&D project into a profitable operation.

Key Metrics (Last 12 Months)

(Period: August 1, 2024 – August 2, 2025)

  1. Total Revenue: $3,524.87
  2. Gross Profit: $2,704.87
  3. Net Profit: $1,624.87
  4. Net Margin: 46.1%
  5. Average Monthly Revenue: $293.74
  6. Conversion Rate: 1.73%
  7. Retention Rate: 69%

Key Metrics (Lifetime)

(Period: October 1, 2023 – August 2, 2025 | 23 months)

  1. Total Revenue: $7,833.53
  2. Gross Profit: $2,445.53
  3. Net Profit: $375.53
  4. Net Margin: 4.8%
  5. Average Monthly Revenue: $340.59
  6. LTV / CAC: $14.48 / $0
  7. Conversion Rate: 0.25%
  8. Retention Rate: 61%

Return on investment

It took 21 months to optimize the bot and have a full return with 0 marketing expenses.

A buyer can significantly shorten this payback period. The business has an LTV of $14.48 and a $0 Customer Acquisition Cost. Any paid marketing initiative that acquires customers for less than $14.48 will be profitable and will accelerate the return on investment.

Startup assets

  1. Primary Telegram Bot: The fully operational AI video editing bot
  2. Administrative Tools: A separate Telegram bot for admin functions
  3. Community: A Telegram community with 15,000 members
  4. User Database: Full ownership of the user database with 214,678 total users
  5. Customer List: The list of 541 unique paying customers
  6. Post-Sale Support: 30 days of technical and operational support to ensure a smooth transition.

Summary

My bot is an opportunity to acquire a business that has successfully navigated its difficult and costly startup phase. The initial investment in technology and user acquisition has been made, and the result is the lean, profitable, and optimized business that exists today.

You are buying a proven, cash-generating asset. A 76.7% Gross Margin, a 46.1% Net Margin, and a $0 Customer Acquisition Cost. The business has optimized its operations, increasing its user conversion rate by nearly 7x and improving customer retention to 69%.

✅ $3,500 in Annual revenue

✅ 541 customers

✅ Business model: Credits

✅ Built on RunPod, PostgreSQL, Python


Content Freshness & Updates

Project Timeline

Created: October 1, 2025 at 8:24 AM (2 months ago)

Last Updated: December 5, 2025 at 2:55 AM (1 day ago)

Update Status: Updated 1.0866878264699 days ago - Recent updates

Version Information

Current Version: 1.0 (Initial Release)

Development Phase: Production Ready - Market validated and ready for acquisition

Activity Indicators

Project Views: 224 total views - Active engagement

Monthly Activity: 2,500 monthly visitors - Consistent user engagement

Revenue Activity: $280 monthly revenue - Active monetization

Content Status: Published and publicly available

Content Freshness Summary

This project information was last updated on December 5, 2025 and represents the current state of the project. The content is very fresh and reflects recent developments. The project shows active engagement with 224 total views, indicating ongoing interest and relevance.

Visual Content & Media

Project Screenshots & Interface

The following screenshots showcase the visual design and user interface of Fraime:

Screenshot 1: Main Dashboard & Primary Interface

This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the modern design principles and user experience patterns implemented using python,postgreSQL,RunPod,docker.

Screenshot 2: Key Features & Functionality

This screenshot displays key features and functionality of the application, demonstrating specific capabilities and user interactions. The interface demonstrates the modern design principles and user experience patterns implemented using python,postgreSQL,RunPod,docker.

Screenshot 3: User Experience & Navigation

This screenshot displays user experience elements and navigation patterns, showing how users interact with the interface. The interface demonstrates the modern design principles and user experience patterns implemented using python,postgreSQL,RunPod,docker.

Project Demonstration Videos

The following videos provide visual demonstrations of Fraime in action:

Demo Video 1: Main Functionality Walkthrough

This video demonstrates the main functionality and core features of the application, providing a comprehensive overview of how the system works. The video showcases the saas application's technical implementation using python,postgreSQL,RunPod,docker and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.

Video URL: https://www.youtube.com/shorts/cLuq-DzgZVU

Live Demo & Interactive Experience

Live Demo URL: https://t.me/fraimebot

Experience Fraime firsthand through the live demo. This interactive demonstration allows you to explore the application's features, test its functionality, and understand its user experience. The live demo showcases the saas application's technical capabilities implemented with python,postgreSQL,RunPod,docker and real-world performance, providing a comprehensive understanding of the project's value and potential.

Visual Content Summary

This project includes 3 screenshots and 1 demonstration video plus a live demo, providing comprehensive visual documentation of the saas application. The media content demonstrates the project's technical implementation using python,postgreSQL,RunPod,docker and user interface design, showcasing both the visual appeal and functional capabilities of the solution.

Technical Specifications & Architecture

Technology Stack & Implementation

Primary Technologies: python,postgreSQL,RunPod,docker

Technology Count: 4 different technologies integrated

Implementation Complexity: Medium - Moderate integration effort with multi-skill development

Technology Analysis

python: High-level programming language known for simplicity and versatility
postgreSQL: Advanced open-source relational database with extensibility
RunPod: Modern technology component for enhanced functionality and performance
docker: Containerization platform for consistent deployment environments

System Architecture & Design

Architecture Type: Saas Application

Architecture Pattern: Modern Software Architecture with scalable design patterns

Scalability & Performance

Current Load: 2,500 monthly visitors - Proven scalability

Revenue Performance: $280 monthly revenue - Sustainable business model

Scalability Level: Medium - Business-level scalability with growth potential

Security & Compliance

Security Level: Production-grade security with revenue validation

Security Technologies: Modern security practices and secure coding standards

Data Protection: Revenue-generating application with user data protection and privacy compliance

Integration & API Capabilities

Live Integration: https://t.me/fraimebot - Active deployment with real-world integration

API Technologies: Python API development with robust data processing capabilities

Integration Readiness: Production-ready for business integration and enterprise deployment

Development Environment & Deployment

Deployment Status: Live deployment with active user base

Technical Summary

This saas project demonstrates advanced technical implementation using python,postgreSQL,RunPod,docker with proven scalability handling 2,500 monthly visitors and sustainable revenue generation of $280 monthly and production-ready deployment. The technical foundation supports immediate business integration with modern security practices and scalable architecture.

Common Questions & Use Cases

How to Build a saas Project Like This

Technology Stack Required: python,postgreSQL,RunPod,docker

Development Approach: Build a scalable software solution with modern architecture patterns and user-centered design.

Step-by-Step Development Guide

  1. Planning Phase: Define requirements, user stories, and technical architecture
  2. Technology Setup: Configure python,postgreSQL,RunPod,docker development environment
  3. Core Development: Implement main functionality and user interface
  4. Testing & Optimization: Test performance, security, and user experience
  5. Deployment: Deploy to production with monitoring and analytics
  6. Monetization: Implement revenue streams and business model

Best Practices for saas Development

Technology-Specific Best Practices

python Best Practices: Follow PEP 8 style guide, use virtual environments, implement proper exception handling, and optimize with profiling and caching.
postgreSQL Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
RunPod Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
docker Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

General Development Best Practices

  • Code Quality: Write clean, maintainable code with proper documentation
  • Security: Implement authentication, authorization, and data protection
  • Performance: Optimize for speed, scalability, and resource efficiency
  • User Experience: Focus on intuitive design and responsive interfaces
  • Testing: Implement comprehensive testing strategies
  • Deployment: Use CI/CD pipelines and monitoring systems

Use Cases & Practical Applications

Target Audience & Use Cases

Business Use Cases: This project is ideal for businesses looking to generate revenue through proven monetization strategies. Perfect for entrepreneurs, startups, or established companies seeking saas solutions.

Proven User Base: With 2,500 monthly visitors, this project demonstrates real-world demand and user adoption.

Comparison & Competitive Analysis

Why python,postgreSQL,RunPod,docker?

This project uses python,postgreSQL,RunPod,docker because:

  • Technology Synergy: The combination of python,postgreSQL,RunPod,docker creates a powerful, integrated solution
  • Data Management: Reliable data storage and retrieval capabilities
  • Community Support: Large, active communities for ongoing development and support
  • Future-Proof: Modern technologies with long-term viability and updates

Competitive Advantages

  • Proven Revenue: $280 monthly revenue demonstrates market validation
  • User Traction: 2,500 monthly visitors show strong market demand
  • Modern Tech Stack: python,postgreSQL,RunPod,docker provides competitive technical advantages
  • Ready for Market: Production-ready solution with immediate deployment potential

Learning Resources & Next Steps

Learn python,postgreSQL,RunPod,docker

To understand and work with this project, consider learning:

  • python: Python documentation, tutorials, and community resources
  • postgreSQL: Official documentation and community learning resources
  • RunPod: Official documentation and community learning resources
  • docker: Official documentation and community learning resources

Hands-On Learning

Try It Yourself: https://t.me/fraimebot

Experience the project firsthand to understand its functionality, user experience, and technical implementation. This hands-on approach provides valuable insights into real-world application development.

Project Details

Project Type: Saas

Listing Type: Sell

Technology Stack: python,postgreSQL,RunPod,docker

What's Included

domain,source_code,data,design

Reason for Selling

I am no longer interested in working on this project and hope someone else finds it more interesting than I do.

Technical Architecture

Technology Stack & Architecture

This saas project is built using a modern technology stack consisting of python,postgreSQL,RunPod,docker. The architecture leverages these technologies to create a production-ready solution that can handle real-world usage scenarios.

Architecture Type: Saas - This indicates the project follows modern software architecture patterns.

Technical Complexity: Multi-technology stack requiring integration expertise

Business Context & Market Position

Business Model & Revenue Potential

This project represents a saas business opportunity with established market presence. The project currently generates $280 in monthly revenue, demonstrating proven market demand and monetization potential.

Market Validation: With 2500 monthly visitors, this project has achieved significant market traction and user adoption, indicating strong product-market fit.

Acquisition Opportunity: I am no longer interested in working on this project and hope someone else finds it more interesting than I do. This presents an excellent opportunity for acquisition by someone looking to continue development or integrate the technology into their existing business.

Development Context & Timeline

Project Development Timeline

This project was created on October 1, 2025 and last updated on December 5, 2025. The project has been in development for approximately 2.2 months, representing 65.858447090498 days of development time.

Technical Implementation Effort

Implementation Complexity: Medium - The project uses 4 different technologies (python,postgreSQL,RunPod,docker), requiring moderate integration effort and multi-skill development.

Market Readiness & Maturity

Production Readiness: This project is market-ready and has been validated through real user engagement. The codebase is stable and ready for immediate deployment or further development.

Competitive Analysis & Market Position

Market Differentiation

Technology Advantage: This project leverages python,postgreSQL,RunPod,docker to create a unique solution in the saas space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.

Market Opportunity Assessment

Market Traction: With 2500 monthly visitors, this project has demonstrated clear market demand and user adoption. This level of engagement indicates strong product-market fit and validates the business concept against existing market solutions.

Revenue Validation: The project's $280 monthly revenue demonstrates proven monetization potential and market willingness to pay for this type of solution. This revenue performance positions it competitively against similar offerings in the market.

Competitive Advantages

  • Proven Market Success: Established user base and revenue stream provide immediate competitive advantage
  • Technical Maturity: Production-ready codebase with real-world testing and optimization
  • Market Validation: User engagement and revenue data prove market demand
  • Modern Technology Stack: python,postgreSQL,RunPod,docker provides scalability, maintainability, and future-proofing

Pricing Information

Offer Price: $5,500 USD

Project Metrics

Average Monthly Visitors: 2500

Average Monthly Revenue: $280

About the Creator

Developer: User ID 193984

Project Links

Live Demo: https://t.me/fraimebot

Key Features

  • Built with modern technologies: python,postgreSQL,RunPod,docker
  • Proven user base with 2500 monthly visitors
  • Generates $280 in monthly revenue
  • Ready for immediate acquisition

Frequently Asked Questions

What is this project about?

Fraime is a saas project that Startup descriptionMy product is an AI video editing chatbot on the Telegram platform. It allows users to perform complex video editing tasks, such as face-swapping and AI-driven video enhancement, di....

How much does this project cost?

This project is listed for sale at $negotiable USD. There's also an offer price of $5,500 USD. The price reflects the project's current revenue, user base, and market value.

What's included when I buy this project?

domain,source_code,data,design You'll receive everything needed to run and maintain the project.

Why is the owner selling this project?

I am no longer interested in working on this project and hope someone else finds it more interesting than I do. This is a common reason for selling successful side projects.

What technologies does this project use?

This project is built with python,postgreSQL,RunPod,docker. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.

What are the project's current metrics?

The project currently has 2500 monthly visitors. It generates $280 in monthly revenue. These metrics indicate the project's current performance and potential.

Can I see a live demo of this project?

Yes! You can view the live demo at https://t.me/fraimebot. This will give you a better understanding of the project's functionality and user experience.

How do I contact the project owner?

You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.

Is this project still actively maintained?

Since this project is for sale, the current owner may be looking to transfer maintenance responsibilities to the buyer.