WhoRU?

AI for Professional Networking

WhoRU? Entrepreneurs and sales professionals constantly manage and leverage the connections they make at networking events, but this builds up quickly and is difficult to keep track of everyone. Our solution captures critical details about each person—such as their needs, interests, and key details from interactions. With this information stored in one place, WhoRU? makes it easy to follow up effectively, nurture relationships, and turn leads into business opportunities; ensuring no valuable connection slips through the cracks.

Overview

• Problem
• Solution
• Unique Value Proposition
• Existing Alternatives
• Unfair Advantage
• Customer Segments
• Early Adopters
• Key Metrics
• Channels
• Cost Structure

Technical Documentation

• API
• Assistant
• Greasemonkey
• Roadmap

Problem

When attending networking events, entrepreneurs and salespeople often meet numerous potential clients, partners, or leads. However, remembering key details about each person—such as their needs, pain points, and the context of your conversation—can be overwhelming. Without this context, it’s difficult to follow up effectively or nurture those relationships. As a result, valuable business opportunities and client connections are often lost, and maintaining a growing network of prospects becomes a time-consuming challenge.

Solution

An application that will accept text and transcribe voice input, input details into a database about the person, and a browser extension that will:

• Generate LinkedIn notifications that will suggest who to interact with
• Suggestions on approaching the individual via message (for example, if there is news the person may be interested in)
• Suggestions in the notifications can be based on whether you're starting a project or looking for work
• Generate tooltips on the individual's LinkedIn, giving additional details about the person from the database

Unique Value Proposition

WhoRU? stands out by going beyond basic contact management. While other tools simply store names and emails, WhoRU? is assisted by AI to capture the context—like interests, needs, and the specific value a person brings to your business. This makes follow-up more personalized and actionable, ensuring you never lose track of important details. Unlike traditional CRMs, WhoRU? is designed for simplicity, helping entrepreneurs and sales professionals build and nurture meaningful connections without the complexity of bulky systems.

Existing Alternatives

• LinkedIn (and other Professional Networking Platforms): LinkedIn allows users to connect with professionals and keep track of their network in one place. It provides basic information on contacts, such as job titles, company names, and recent activity. However, LinkedIn is limited to only basic information—users often forget where they met someone, what they talked about, or the context of the interaction.

• CRM (Customer Relationship Management) Systems: CRMs like Salesforce, HubSpot, and Zoho allow users (especially salespeople or business development professionals) to track interactions with leads, clients, and prospects. However, CRMs are typically designed for business or sales use, not for personal networking. They tend to be overly focused on sales pipelines, rather than on casual networking or event-based connections.

• Note-Taking Apps (Evernote, Notion, OneNote): Professionals use note-taking apps to jot down information after meeting new people at events or conferences. This can include details like names, company info, what was discussed, and any follow-up actions. However, these apps are not specifically designed for professional networking, so they require users to manually input data and remember to organize it.

• Digital Business Cards (e.g., HiHello, CamCard): Digital business card apps like HiHello and CamCard help people exchange contact information instantly at networking events, which eliminates the need for physical cards. However, these apps typically only store basic contact info (email, phone number, LinkedIn link) and don’t offer deeper context or information about where or how you met.

• Event-Specific Networking Apps (e.g., Bizzabo, Brella, Swapcard): Apps like Bizzabo, Brella, and Swapcard are designed to help attendees connect with one another at specific events like conferences or trade shows. They let attendees view attendee profiles, schedule meetings, and track who they’ve interacted with. However, these tools are event-specific, meaning they’re not useful for networking outside the context of the event. They don’t typically provide an ongoing, long-term solution for managing and following up with contacts after the event ends.

• Calendar and Reminder Apps (Google Calendar, Microsoft Outlook): Users often rely on their calendars to schedule networking events and set reminders to follow up with people they meet. However, these apps are not specifically designed for networking, so they don't provide the ability to store detailed interaction history, make suggestions for follow-up messages, or track ongoing relationships.

Unfair Advantage

A large, continuously growing database of personal interactions and contextual information across professional events, something like a "personalized networking history" that could be tied to a user’s specific career journey. It’s something no other tool or network (like LinkedIn) can easily replicate, especially if this data is tagged with contextual insights (where you met, what topics you discussed, etc.).

Over time, your AI gets better at analyzing interaction patterns and suggesting networking opportunities based on nuances that aren’t immediately obvious, like shared interests or common professional challenges. Competitors may struggle to replicate this level of AI sophistication without significant investment and time.

Developing proprietary algorithms that add real-time data and suggestions directly into LinkedIn’s interface in a way that feels natural and useful. This level of integration and real-time data suggestion might be hard to imitate without permission or a similar level of access.

The more users we have, the better our AI gets at understanding networking patterns and suggesting interactions, which could give early users a better experience that draws in more users. This could create a kind of "lock-in," where users are reluctant to switch to another platform because the recommendations and insights have become too valuable.

Having exclusive integrations or collaborations with specific professional networks or events where people are most likely to network. If we integrate live event details, attendee information, and context directly into our app, it would be a competitive edge that other generic networking tools might not have access to.

A long-term, trusted relationship with users where they feel confident that our app is enhancing their networking strategy and career development, creating high user retention rates. The more people rely on our app to remember key details about their professional network, the harder it is for them to leave for a competitor.

Customer Segments

• Individuals who frequently attend networking events (conferences, seminars, meetups, industry events) and are looking to make valuable connections but often forget key details about people they meet, as well as the context.

• Sales professionals attending conferences to meet potential clients.

• Entrepreneurs attending startup events or trade shows.

• Job seekers attending industry career fairs or networking meetups.

• Event Organizers: Organizations or individuals who plan and manage events, conferences, or trade shows, looking for tools to help their attendees connect with each other before, during, and after the event.

• Recruiters: Professionals responsible for sourcing, interviewing, and placing candidates in job roles, often attending job fairs, industry events, and networking meetups to meet potential candidates.

Early Adopters

• Open-Minded and Tech-Savvy: They’re comfortable experimenting with new tools and technologies.

• Pain Points Around Networking and Relationship Management: They attend events frequently or network regularly, and they have a clear need to stay organized and track their interactions.

• Value Efficiency and Personalization: They are looking for tools that make networking more efficient and help them create personalized, context-rich follow-ups.

• Willing to Give Feedback: They’re likely to provide valuable feedback that will help refine your app—whether it’s usability, new features, or how well the AI recommendations work.

Key Metrics

• Number of New Users: The total number of new sign-ups or app downloads over a specific period. This helps you track the growth of your user base.

• Conversion Rate: The percentage of people who visit your app or website and then sign up or download the app. It indicates the effectiveness of your landing page or marketing campaigns in converting visitors into users.

• Active Users:Daily Active Users (DAU): How many people are using the app daily. Monthly Active Users (MAU): How many people are using the app monthly. This can give a more long-term perspective on user engagement.

• Retention Rate: The percentage of users who return to the app after their first use. High retention suggests that the app is valuable and users are finding it useful for managing their network.

• User Engagement (Time Spent per Session): How long users are spending on the app per session. If people are spending significant time engaging with their networking details and follow-up suggestions, it’s a good sign.

• Interactions per User: How many connections or interactions each user is tracking within the app. This could include how many people they've added, how many follow-up suggestions they’ve acted on, or how many messages they’ve sent.

• Total Number of Connections Managed: Tracks how many individual networking connections have been made and stored in the app over time. This can give you an understanding of how much value users are getting from the app in terms of managing and remembering people they've met.

• Follow-Up Rate: The percentage of users who take action on follow-up suggestions from the app. This helps you understand how valuable your AI-driven recommendations are in motivating users to engage with their network.

Channels

• LinkedIn: Since your app is focused on improving professional connections, LinkedIn is a natural platform to target. You can use LinkedIn ads, organic posts, articles, and even influencer collaborations to raise awareness among professionals who attend networking events.

• X: X is great for reaching tech-savvy users and professionals. Sharing bite-sized content, news, and use cases could help generate interest.

• Instagram: Although Instagram is more casual, it can still be useful for showing behind-the-scenes content, user testimonials, or relatable moments around networking events.

• TikTok: If your target audience includes younger professionals or people in early career stages, TikTok can be a great platform for viral content, educational videos, and tips on better networking.

• Blogging: Regularly publish articles on topics related to professional networking, career development, and AI in networking. This could help drive organic traffic from people searching for tips on improving their networking skills.

• Guest Blogging/Content Partnerships: Collaborate with other websites or influencers in the career, professional development, or tech spaces to guest blog or cross-promote content.

• User Testimonials: Encourage your users to share their success stories and experiences, both online (social media, blogs) and offline (at events). Social proof is key to building trust with new users.

• Influencers in Career Development or Tech: Partner with influencers in the professional development or career coaching space. These influencers can share their experiences with your app, showing how it helps them manage connections.

• Affiliate Marketing: Allow users, bloggers, or influencers to earn a commission for every sign-up they bring in through their unique affiliate link.

• Online Communities: Engage with communities on Reddit (e.g., r/careerguidance, r/networking), Quora, or niche Facebook Groups. Offering helpful advice or answering networking-related questions can position your app as a valuable tool in those spaces.

• Slack or Discord Communities: Create or partner with professional communities on Slack or Discord where you can promote the app and allow users to directly ask questions or give feedback.

Cost Structure

Fixed Costs:

• Software development & maintenance
• Cloud hosting & infrastructure
• Salaries for core team
• Marketing & advertising
• Licensing/partnership fees

Variable Costs:

• Customer support & success
• Transaction-based platform fees
• Affiliate commissions
• Event sponsorships/partnerships
• Influencer and content creator payments

Revenue Streams:

• Subscription Fees: Monthly or annual plans for users (entrepreneurs, sales professionals, etc.)
• Freemium Model: Free basic version with premium features for paid users
• Affiliate Commissions: Earnings from user referrals or affiliate partnerships
• In-App Purchases: Purchases for additional features or data storage
• Sponsored Content: Revenue from event organizers or sponsors for visibility
• API Integrations: Charging for third-party integrations with other platforms (e.g., LinkedIn, CRM systems)

Technical Documentation

API

• Hosted on EC2
• NodeJS
• MongoDB
• CRUD API

Assistant

• Enter connection details and the agent will insert the data into a database of connection information
• Ask the agent to send a message to a connection based on LinkedIn ID. The agent will pull the connection details from the database and craft a custom followup message containing the details of the connection (event, date, etc). - Eventually this can be integrated with an unofficial LinkedIn API to send messages

Greasemonkey

• Handles the API call to the database to retrieve connected contact details
• Displays in-browser popup to show contact details

Roadmap

Features Implemented

• AI stores contacts with event where you met and notes about contacts from linkedIn
• Show popup on LinkedIn with event where you met and notes
• Agent has ability to get data craft a message based on that data

Features Planned

• Agent actually sends the message on LinkedIn

• Use LinkedIn API to trigger a notification after a new connection to add the context to the database (via voice or text) about the new connection

• Before an event, let the AI know that all the contacts that were triggered during the event, belong to that event (all news contacts during that period of time are automatically associated with event)

• Audio input for connection details

• Query database plus additional web scraped LinkedIn data to generate sales leads, potential clients, or possible job opportunities