How to Make an AI Social Network App Like Geneva?

Social media is not just growing, it’s evolving at an unprecedented pace. With nearly 4.9 billion global users (DataReportal, 2024) and new platforms emerging daily, AI-powered social network apps are at the forefront of this transformation. 

These platforms leverage artificial intelligence to offer personalized experiences, enhance content moderation, and drive user engagement, marking a significant shift in how we connect, communicate, and share online. As AI continues to advance, the potential for social networks to evolve into more intelligent, adaptive environments is limitless.

As we’ve helped numerous businesses create AI-driven social network apps, IdeaUsher understands how to build platforms that not only connect users but also predict their interests, recommend relevant groups, and personalize content delivery.  In this blog, we’ll explore how to build an AI-powered social network app like Geneva, detailing the key steps, features, and benefits that make these platforms so effective at engaging and connecting users.

Key Market Takeaways for AI Social Network Apps

According to PrecedenceResearch, the market for AI-powered social network apps is seeing explosive growth. In 2024, the market is valued at USD 2.45 billion and is projected to reach USD 3.34 billion by 2025. By 2034, it’s expected to skyrocket to approximately USD 54.07 billion, driven by the increasing need for personalized content, data analytics, and automation in the social media space.

Source:  PrecedenceResearch

Big platforms like Facebook and Instagram have already incorporated AI features for better content curation, user engagement, and targeted ads. Beyond these major platforms, smaller AI tools like Sprout Social and Circleboom are helping creators and brands automate their social media efforts, streamline content creation, and derive valuable insights from social data, making it easier for them to stay ahead in the fast-moving digital landscape.

Strategic partnerships are also playing a major role in the growth of AI social networks. Collaborations like that between Genesys Network and Social AI are paving the way for decentralized platforms where users can create and monetize their own AI agents. 

Similarly, the partnership between JDW Labs and Aitomatic Inc. is bringing industrial-grade AI to decentralized social networks, adding more depth and functionality to how AI can enhance online social interactions.

How Geneva Uses AI in their Social App?

Geneva uses AI by personalizing content feeds based on user behavior, enhancing community management with automated moderation, and providing data-driven insights for better engagement. It analyzes user interactions, content preferences, and activity to improve recommendations and notifications. AI also helps maintain safe, healthy spaces by detecting harmful content and behavior

1. The Data Behind the AI Engine: What Powers Personalization?

To deliver a tailored experience, AI relies on various data sources to learn about users and adapt accordingly. Here’s a look at some of the key types of data it uses:

When processed correctly, this data allows AI to continuously learn and offer better, more refined recommendations and decisions.

2. AI Models for Tailored Experiences

AI doesn’t just collect data, it uses advanced algorithms to make user experiences more relevant and enjoyable. These models are designed to keep users engaged by serving them content they’ll love, often without them even realizing it.

A. Personalized Content Feeds

AI learns from past user behavior to make the content feed more relevant.

• Collaborative Filtering: Just like Spotify recommends music based on other users’ tastes, AI in apps like Geneva recommends content by identifying users with similar interests. Think of it as a social “word of mouth”—”If users like you enjoyed this, maybe you will too.”
• Natural Language Processing (NLP): By analyzing the text of posts and comments, AI understands the topics that matter to users and can serve up content based on the language and tone that resonates with them.
• Deep Learning (Neural Networks): These models process vast amounts of data to predict the likelihood that a user will engage with a post. They consider various factors, such as past activity, user interests, and even the types of posts users typically comment on, to predict future interactions.

This kind of personalization is akin to the experience users have on TikTok’s “For You Page,” where content is specifically tailored based on their previous activity.

B. Smart Notifications & Engagement Boosters

AI doesn’t stop at just serving content, it also ensures that users are notified when they’re most likely to engage.

• Predictive Analytics: AI algorithms analyze patterns in user activity and send notifications when users are most likely to open the app, ensuring that updates, messages, or new posts get the attention they deserve.
• Sentiment Analysis: AI can detect the emotional tone of posts or comments, allowing it to prioritize positive, engaging content or avoid sending notifications that might distress the user.

3. AI in Content Moderation: Ensuring Safe and Healthy Communities

One of the most important aspects of AI in social networks is its role in keeping online spaces safe and respectful.

A. Automated Moderation

AI enhances content moderation by scanning text and images for harmful material like hate speech, spam, or explicit content using NLP and image recognition. It also tracks user behavior to flag suspicious activities, such as bots or harassment, ensuring a safe community. Real-time alerts notify admins instantly of rule violations, allowing for swift action to prevent the spread of harmful content.

B. Community Management with AI

AI also helps manage community dynamics by using auto-responders to handle common queries, reminders, and basic tasks, allowing admins to focus on more complex issues. Additionally, AI detects heated discussions or conflicts, offering suggestions to de-escalate tensions and maintain a positive and harmonious group environment.

This helps foster healthier interactions, much like Reddit’s AutoModerator, which automatically removes spam or low-quality content before human moderators intervene.

4. AI-Powered Insights & Analytics: Helping Admins and Businesses Thrive

AI doesn’t just help personalize user experiences, it also provides valuable insights that can help platform administrators and businesses thrive.

• Trend Prediction: AI’s ability to analyze patterns in data allows it to identify emerging trends before they become mainstream. This helps users and content creators stay ahead of the curve and capitalize on trending topics early.
• User Retention: AI can also analyze user behavior to identify at-risk members who may be about to disengage. It then suggests strategies for re-engagement, helping businesses and admins keep their community active.
• Ad Optimization: AI can help brands and businesses create better-targeted ads. By analyzing user behavior and engagement, AI ensures that ads reach the right people based on their interests, behavior, and activity.

Understanding the AI-Powered Social Network Landscape

An AI social network app represents the future of online interaction, merging the power of artificial intelligence with social media to create smarter, more personalized experiences. Unlike traditional social networks that mainly rely on human oversight and static features, AI-driven platforms use advanced technologies to automate processes, optimize content delivery, and foster deeper user engagement. 

Through machine learning, natural language processing (NLP), and predictive algorithms, these apps analyze user behavior to deliver tailored experiences, making every interaction unique and meaningful.

Example: Geneva

Geneva is an all-in-one social networking and communication app that encourages community-driven conversations and connection-building. Launched in 2020, it has become popular among Gen Z users, combining elements from platforms like Reddit, Twitter, Instagram, and Clubhouse. While its core experience revolves around community engagement, recent updates have introduced AI features, such as autonomous AI personas that interact with users, adding a unique dimension to the app.

Here’s how the app works,

Homes and Rooms

Users create or join “Homes,” which are community spaces based around specific topics or interests. Each Home includes multiple types of Rooms:

• Chat Rooms for text-based conversations.
• Post Rooms for forum-style discussions.
• Audio Rooms for voice chats.
• Video Rooms for group video calls (up to 16 participants).
• Broadcast Rooms for live video streaming with large audiences.

Community Building

Geneva allows users to form and join groups like family circles, creative teams, clubs, or professional networks. It prioritizes privacy, requiring phone number registration and using tools like entry questionnaires and user blocking/removal for moderation.

Event and Calendar Integration

Geneva also makes it easy to organize and manage events within a community. Users can set up a shared calendar for their group, send event invitations, and schedule reminders for upcoming activities. This feature ensures that members stay informed and connected, whether they’re organizing casual meetups or professional events.

No Ads, No Data Selling

One of Geneva’s key differentiators is its commitment to user privacy. Unlike many mainstream social media platforms, Geneva does not display ads or sell personal data to third parties. Geneva has expressed plans to introduce in-app transactions, where users can trade services, products, or content, taking a small commission from each transaction.

AI Integration

Recently, Geneva has begun to experiment with AI-driven features. One of the most exciting updates is the introduction of AI personas that can autonomously interact with users. These AI personas are designed to engage with community members, share content, and initiate conversations, which helps enhance engagement and keeps discussions flowing. 

Key AI Technologies Behind Social Apps

AI technologies behind social apps include Machine Learning for recommendations, Natural Language Processing for chatbots and moderation, and Predictive Algorithms for anticipating user behavior and enhancing engagement.

The Role of AI in Enhancing User Experience

AI enhances user experience by personalizing content through Machine Learning, improving engagement with chatbots and virtual assistants, and ensuring safety with automated moderation. It tailors feeds, suggests relevant interactions, and creates safer online spaces. This leads to more intuitive and satisfying user experiences.

1. AI-Driven Customization: Smarter Content Curation

Artificial intelligence has transformed how content is delivered on social apps. Instead of presenting users with generic content, AI tailors feeds based on individual preferences, ensuring that each user sees what matters most to them. For example:

• Instagram & TikTok use AI to analyze user behavior, such as likes, shares, watch time, and interactions, to recommend content that keeps users engaged.
• Geneva AI helps users discover relevant communities and discussions by analyzing their interests and activity within the platform. This results in more meaningful connections and interactions.

2. Chatbots & Virtual Assistants for Real-Time Engagement

AI-powered chatbots are revolutionizing real-time engagement by providing instant responses to user queries and automating routine interactions. For example:

• Meta’s AI chatbots offer instant customer service, answering common questions or directing users to relevant resources.
• Slack’s AI bots automate responses in community chats, ensuring that users receive quick replies even when human moderators aren’t available.
• ChatGPT-powered assistants can guide users through app features, suggest communities or discussions, and offer personalized recommendations.

3. AI Moderation: Building Safe & Positive Communities

AI plays an essential role in maintaining healthy, productive online spaces by automating content moderation. By using machine learning models and sentiment analysis, AI helps:

• Flag harmful content such as hate speech, spam, and inappropriate material.
• Detects bots and fake accounts through behavioral analysis, reducing the risk of malicious activity within communities.
• Encourage positive interactions by analyzing sentiment and nudging users toward constructive discussions.

An example of this is Reddit’s AutoModerator, which uses AI to filter out unwanted posts, while OpenAI’s moderation tools help enforce community guidelines automatically.

Features to Include in an AI Social Network App Like Geneva

After developing several AI-driven social apps, we’ve learned that certain features consistently stand out and resonate with users. These features enhance engagement, foster real connections, and offer unique, personalized experiences. Based on our experience, here are the key features that make AI social apps a hit.

1. AI Friends/Followers

Users love interacting with AI-generated friends or followers. These AI personas engage with posts, comment, and participate in discussions, making interactions feel more dynamic. They provide valuable feedback and even initiate conversations, creating a more engaging user experience.

2. Emotional Support/Sounding Boards

AI companions designed for emotional support serve as non-judgmental listeners. They allow users to express their feelings safely, without fear of judgment. This feature has proven especially beneficial for those looking for a comforting space to reflect on their emotions.

3. Virtual Influencers

AI-generated influencers have gained popularity for their ability to create content, interact with followers, and manage virtual communities. Users enjoy the novelty of interacting with AI personas, which adds an extra layer of fun and engagement to the social experience.

4. Automated Content Creation (User-Driven)

AI can help users generate content, such as posts, captions, and images, by simply providing a few prompts. This feature is a game-changer for those struggling with writer’s block or looking to create visually appealing content quickly and effortlessly.

5. Personalized Feeds (Beyond Recommendations)

Beyond simple recommendations, AI can create a dynamic and personalized feed, suggesting content to consume or even create. This level of customization keeps users engaged and makes their experience more tailored to their preferences.

6. AI-Enhanced Conversations

AI can help users craft better replies, summarize long discussions, or suggest new topics to keep conversations flowing. Whether in a group or private chat, this feature ensures that interactions are engaging, relevant, and continuous.

7. Interactive AI Bots within Chats/Groups

Instead of basic chatbots, interactive AI bots can participate in conversations, mediate debates, and provide valuable information. These bots improve group dynamics, keeping the conversation focused and informative.

8. Self-Discovery through AI Interaction

AI helps users explore their communication styles and emotional patterns. By analyzing interactions, users gain insights into their behavior, which can help improve their social skills and deepen self-awareness.

9. Curated Feedback Loops

AI can provide tailored feedback on user posts, helping them refine their ideas or content. This feature offers personalized suggestions that help users improve their content, leading to more meaningful engagement with their audience.

10. Mood and Sentiment Tracking (User-Facing)

AI can analyze the sentiment in users’ posts and interactions, providing insights into their emotional state. This feature helps users understand how their feelings evolve over time and offers suggestions for improving their mood.

11. Private “Reflection” Spaces

Private spaces where all interactions are AI-generated allow users to experiment with ideas and express themselves without social pressure. This feature offers a safe environment for creativity and self-expression without fear of judgment.

12. Controlled Social Scenarios

Users can practice difficult social interactions, such as interviews or tough conversations, with AI. By simulating real-world scenarios, users can gain confidence and improve their social skills before engaging with others.

13. AI-Assisted Moderation (User Reporting/Feedback)

AI-driven moderation tools allow users to report inappropriate content directly or learn why certain content was flagged. This level of involvement makes users feel more in control of the platform and ensures a safer, more respectful community.

14. Event Planning & Participation

AI can assist in organizing events by suggesting optimal times for gatherings and generating fun activities for virtual events. This feature makes planning and participating in events more seamless and enjoyable for users.

Business Model of the Geneva App

Geneva’s business model is designed around creating a sustainable, community-driven platform that puts privacy and user experience at the forefront. Unlike many social networks that rely heavily on ads and selling user data, Geneva focuses on building a space where communities can thrive without sacrificing privacy. Here’s an in-depth look at how Geneva is structured, its revenue generation strategies, and its future vision:

• Free-to-Use Platform: Geneva remains completely free for all users, including both brands and communities. There are no paid advertisements or traditional ad-based revenue models. The focus is on providing an ad-free environment, which allows users to engage without the distractions of targeted ads.
• No Ads, No Data Selling: One of the primary differentiators of Geneva is its commitment to user privacy. Geneva explicitly states it will never show ads or sell user data, which positions it as a privacy-first alternative to other social platforms that rely on monetizing personal information.

Geneva’s revenue generation strategies are unique, focusing on building value for users and communities. These include:

Community Monetization

One of Geneva’s most promising revenue models is community monetization. Communities can charge for access to exclusive experiences, such as virtual events, special content, or even premium rooms. Geneva takes a modest 5% commission on the revenue generated from these transactions, which allows communities to earn while supporting platform maintenance.

Advanced Features for Web3 and Blockchain Communities

For blockchain and web3 communities, Geneva offers advanced tools such as token-gated rooms and the ability to link in-app wallets. These premium features can be monetized through subscription models or one-time payments, offering additional value for users in these spaces.

Brand and Organization Partnerships

Although not a major revenue stream at the moment, Geneva is exploring partnerships with brands and organizations. This could involve sponsored content, exclusive events, or branded community activations. These partnerships would allow brands to tap into highly engaged niche communities without relying on traditional ad-based models.

Future Peer-to-Peer Economy

Geneva has a long-term vision to create an in-app economy that allows users to both earn and spend within the platform. By facilitating peer-to-peer transactions, Geneva can take a share of those transactions, creating a self-sustaining economy. This could include digital goods, premium content, or even custom community features, all of which contribute to Geneva’s growing ecosystem.

Financial Performance and User Growth

Geneva’s financial growth is still in its early stages, as most of its monetization tools are either in development or early rollout. However, the platform has shown impressive growth in user engagement and retention:

• User Growth: Geneva has seen significant user growth, with daily active users tripling since 2022 and the platform’s user base quadrupling in 2022 compared to the previous year.
• Retention: Strong community engagement, with users joining brand-specific communities, even without being direct customers, indicates excellent retention.
• Current Revenue: Geneva has not yet generated substantial revenue, as most monetization features are in early development or rollout phases.

Funding Rounds and Investor Support

Geneva has attracted significant venture capital funding to support its growth and development:

Venture Funding: Since its launch in 2020, Geneva has raised a total of $22 million in venture capital. This funding has been instrumental in the platform’s product development, user acquisition, and scaling efforts. With this financial backing, Geneva has been able to develop its unique business model and expand its capabilities.

While the identities of specific investors aren’t detailed, the funding has provided the company with the necessary resources to continue evolving. The capital has been used to support everything from user experience improvements to the development of advanced features like Web3 integration and community monetization tools.

Steps to Develop an AI Social Network App Like Geneva

We specialize in creating AI-powered social network apps like Geneva, designed to help brands build engaged, thriving communities. Our goal is to combine intuitive design with intelligent AI features that offer real value to users. We approach each project with a human-first mindset, ensuring that the end result is a platform that genuinely enhances user connections.

1. Conceptualization and Market Research

Our process starts with understanding your goals and target audience. We dig deep into market trends, identify gaps in current platforms, and collaborate with you to define the features that will set your app apart. This research phase is essential to ensure the app resonates with users while leveraging AI to offer personalized experiences that drive engagement.

2. AI-powered Personalization Design

Personalization is key to keeping users engaged. We build AI systems that learn from each user’s behavior, suggesting communities, content, and events tailored to their interests. The goal is to create an evolving experience that adapts as the user interacts with the app, ensuring they feel continuously connected to relevant content.

3. Core Social Features & AI Integration

We focus on the essential social tools, messaging, voice, and video chat, while seamlessly integrating AI to enhance the experience. AI helps automate moderation, ensuring content remains appropriate, and drives personalized recommendations. These features allow users to connect meaningfully, without the clutter of irrelevant content.

4. Privacy & Safety Features Using AI

Security is a top priority. We incorporate AI tools that automatically filter harmful content and monitor user behavior for any signs of abuse. We also implement AI-based identity verification to reduce fraud and fake accounts. Our goal is to build a secure space where users can trust the platform with their information.

5. Scalable Infrastructure and Backend Development

Building a solid infrastructure is crucial for handling growing communities. We ensure that the backend is scalable and can support AI processing demands as the user base expands. Cloud-based solutions and efficient database management allow the app to run smoothly, even as more features are added and the community grows.

6. Community Engagement and Gamification

A thriving community needs constant interaction. We use AI to suggest relevant groups and activities to users, keeping them engaged. To add an extra layer of motivation, we incorporate gamification—badges, points, and rewards, driven by AI. These elements encourage active participation and create a sense of belonging within the community.

7. User Interface and User Experience Design

Our design team focuses on creating a simple, intuitive interface that feels natural to users. We ensure AI features, like recommendations, blend seamlessly into the app without overwhelming the user. The goal is to offer an engaging, personalized experience that doesn’t sacrifice ease of use or accessibility.

8. AI Model Training and Testing

AI features need continuous refinement. We train our models using real user data, ensuring they improve over time. Rigorous testing ensures AI recommendations are accurate and helpful, and any issues are identified and corrected quickly. This ongoing process ensures the app stays responsive and relevant to user needs.

9. Launch, Monitoring, and Continuous Improvement

Once the app is ready, we launch it in phases, starting with a closed beta to gather feedback. After the full release, we keep a close eye on performance and user engagement. Through regular updates, A/B testing, and feedback loops, we ensure that the app’s AI features are continually refined, optimizing the user experience and helping your community thrive.

Cost of Developing an AI Social Network App Like Geneva

We take a cost-effective approach to building AI-powered social network apps like Geneva for our clients. By focusing on essential features and leveraging existing tools, we ensure high-quality app development that fits within your budget while delivering the core functionalities that matter most.

1. Research & Planning Phase

2. UI/UX Design Phase

3. Frontend Development (Mobile & Web) Phase

4. Backend Development Phase

5. Core App Features Phase

6. AI Integration & Development (MVP Focus) Phase

7. Testing & Quality Assurance (QA) Phase

8. Deployment & Post-Launch Phase

The figures shared here are just estimates and can fluctuate depending on your app’s specific features. A typical AI social network app like Geneva will generally cost between $10,000 and $100,000 USD. Get in touch with us for a free consultation to receive a more accurate quote tailored to your needs.

Factors Affecting the Cost of Developing an AI Social Network App Like Geneva

When developing an AI-powered social network app like Geneva, several factors influence the overall cost. These include the complexity of AI features, real-time communication demands, scalability, and content moderation strategies. Here are the key elements that play a significant role in determining the development cost:

Complexity of AI Features

Basic AI functionalities like content moderation using pre-built APIs are more affordable than custom AI models for tasks like sentiment analysis or advanced personalization. The more sophisticated the AI, the higher the development cost.

Real-time Communication Demands

With features like voice and video chat, real-time communication requires specialized infrastructure. WebRTC setup, low latency, and handling large concurrent users for live media streams are technically challenging and add significant costs.

Scalability Requirements

Social networks need to scale quickly as user numbers and data increase. Building a scalable backend with features like microservices, load balancing, and distributed databases requires careful planning and investment but ensures the app’s ability to grow.

Content Moderation Strategy

More than just AI moderation, integrating tools for human oversight—like advanced admin dashboards and reporting systems, can add to both the initial development and ongoing operational costs.

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Common Challenges in Developing AI Social Network App Like Geneva

Having worked with numerous clients on AI social network apps like Geneva, we’ve encountered a variety of challenges in the development process. Over time, we’ve developed solutions to handle these challenges, ensuring smooth, ethical, and effective app deployment. Here’s an overview of the common challenges and how we address them:

1. Data Privacy & Ethical Considerations

AI social networks rely on user data for personalization, raising privacy, security, and ethical concerns. Key issues include compliance with GDPR and CCPA, protecting data from breaches, and deciding how much personalization is acceptable, including whether AI should track emotions.

The Solution

To safeguard user privacy and ensure compliance with regulations:

• We implement end-to-end encryption for all private conversations to prevent unauthorized access.
• We design the app with privacy-by-design principles, focusing on collecting only the most essential data and anonymizing sensitive information whenever possible.
• We give users the choice to opt-in or opt-out of data tracking and allow them to control how their data is used for AI personalization, ensuring transparency and trust at every step.

2. Bias in AI Algorithms

AI models can unintentionally reinforce societal biases, resulting in discriminatory content recommendations, unfair moderation that disproportionately flags certain groups, and the creation of echo chambers that limit exposure to diverse perspectives, ultimately polarizing users.

The Solution

To combat these issues, we take proactive measures to ensure fairness and inclusivity in the platform:

• We train our AI models using diverse datasets, incorporating data from different cultures, languages, genders, and backgrounds to minimize biases in content delivery and moderation.
• Regular audits of AI models are performed using fairness tools, like IBM’s Fairness 360, to continually check for any unintentional biases or inequalities in the algorithms.
• Human moderators are integrated into the system to provide oversight of AI’s decisions, ensuring that context is taken into account when moderating content and promoting inclusivity.

3. Difficulty in Training AI Models with Diverse Datasets

AI models need large, diverse datasets to function effectively, but challenges include biased or incomplete data, difficulty sourcing multilingual and multicultural datasets, and the rapid obsolescence of models as user behavior and preferences evolve.

The Solution

We tackle these challenges with a combination of innovative strategies:

• We augment training sets with synthetic data to fill gaps and ensure a broader, more inclusive representation of users.
• We implement federated learning, which allows us to train AI models on decentralized data from users across the globe, without compromising their privacy.
• To keep the models relevant, we implement continuous learning systems, regularly updating them based on real-world feedback from users, ensuring that the AI adapts to shifts in trends and preferences.

4. Balancing User Engagement with AI Moderation

Moderation requires careful balance, too much AI intervention can lead to over-censorship, while too little allows harmful content to thrive. Challenges include deleting harmless posts, letting toxic behavior slip through, and AI becoming too rigid, which stifles organic user interactions by failing to consider context.

The Solution:

To find the right balance, we take a nuanced approach:

• Adaptive moderation algorithms allow us to fine-tune the level of AI intervention, ensuring that harmful content is flagged without restricting healthy and organic conversations.
• We rely on a hybrid system, where AI works alongside human moderators to review flagged content and consider context, preventing over-censorship and allowing for more thoughtful decision-making.
• Continuous feedback loops help us refine the AI’s decision-making, making it more flexible and dynamic as the community grows and evolves.

Conclusion

Building an AI-powered social network app offers numerous benefits, from enhancing user experience with personalized content and smarter engagement to fostering a healthier, more dynamic community. AI can streamline content moderation and improve community management, driving both user satisfaction and growth. If you’re looking to create an AI-driven platform like Geneva, partnering with an AI development company like IdeaUsher can ensure your vision is executed successfully, turning innovative ideas into a thriving, cutting-edge social network.

Looking to Develop an AI Social Network App Like Geneva?

At Idea Usher, we specialize in bringing your vision for an AI-powered social network app like Geneva to life. With over 500,000 hours of coding expertise and a team of developers from top companies like Google, Meta, and Amazon, we create intelligent and scalable social network solutions tailored to your needs. Whether you’re looking to enhance personalization, improve community engagement, or integrate advanced AI features, we’re here to help you build the next generation of social networking.

Why Choose Us?

• AI/ML Integration – We create personalized feeds, chatbots, and auto-moderation systems to enhance user experience.
• Elite Tech Talent – Our developers come from top-tier companies like Google, Meta, and Amazon, bringing unmatched expertise.
• Proven Track Record – Check out our latest projects to see the quality and success of our work.

Let’s build the future of social networking, together! 

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