--- title: "MeetWho Alongside Luma: Adding Matching to Your Existing Stack" description: "Learn how MeetWho adds an intelligent networking and matching layer alongside Luma events, helping organizers create more meaningful attendee connections without replacing their existing event stack." canonical: "https://meetwho.app/blog/meetwho-alongside-luma-adding-matching-to-your-existing-stack" language: "en" published: "2026-08-08T01:26:12.009+00:00" updated: "2026-08-11T07:19:57.252312+00:00" reading_time_minutes: "15" author: "Yağız Gürbüz" author_url: "https://meetwho.app/author/yagiz-gurbuz" source: "MeetWho — the networking layer for events and communities" license: "Quote with attribution and a link to the canonical URL." --- # MeetWho Alongside Luma: Adding Matching to Your Existing Stack ## TL;DR - Learn how MeetWho adds an intelligent networking and matching layer alongside Luma events, helping organizers create more meaningful attendee connections without replacing their existing event stack. - Event management and event networking solve related but different problems. - Attendee management is an operational function. - Registration data can tell an organizer who intends to attend. - A Luma networking layer is best understood as an additional networking capability placed alongside an existing Luma-centered event workflow. ## Key questions **Why Event Platforms Like Luma Need a Networking Layer?** Event management and event networking solve related but different problems. Registration systems are primarily concerned with getting people into an event: creating an event page, collecting sign-ups, communicating logistical information, and managing attendance. **What Is the Luma Networking Layer Approach?** A Luma networking layer is best understood as an additional networking capability placed alongside an existing Luma-centered event workflow. It is not necessarily a native feature, plugin, or official integration. **How MeetWho Adds Matching Alongside Luma?** Adding a networking layer is useful only when it improves how attendees make decisions. MeetWho does this by moving beyond basic registration attributes and focusing on the professional context behind each participant. **MeetWho vs. Traditional Attendee Directories** Traditional attendee directories and intelligent matching systems serve different purposes. A directory provides access to information and leaves discovery primarily to the participant. **Benefits of Adding Matching to Your Existing Event Stack** Adding matching alongside an existing event workflow can be valuable when organizers want to improve networking outcomes without making event technology itself the focus of the attendee experience. The layer should reduce friction, not create another task attendees have to complete without a clear benefit. **How MeetWho Works for Conferences, Communities, and Workshops?** Different event formats create different networking challenges. A large conference creates a discovery problem because attendees have too many possible contacts. ## Full article Title: "MeetWho Alongside Luma: Add Event Matching" Description: "Discover how MeetWho works alongside Luma to add intelligent attendee matching, networking workflows, and meaningful event connections." # MeetWho Alongside Luma: Adding Matching to Your Existing Event Stack **Luma networking layer**; for event organizers who already have a registration and event-management workflow they like, the next challenge is often not collecting more attendee data but helping participants understand **who they should actually meet**. MeetWho adds an Event Networking Intelligence layer around that problem, using attendee goals, professional context, shared interests, and networking preferences to recommend relevant connections rather than leaving people to navigate an undifferentiated participant list. The idea is not that every organizer needs to replace an existing platform. A team using Luma for part of its event workflow may want to preserve familiar processes while introducing a more intentional networking experience. MeetWho is useful in that context because its core proposition—**“Know who to meet”**—focuses on the quality and relevance of connections: identifying people who may benefit from speaking with each other, explaining why the match makes sense, and giving participants a practical way to begin and continue the conversation. ## Why Event Platforms Like Luma Need a Networking Layer Event management and event networking solve related but different problems. Registration systems are primarily concerned with getting people into an event: creating an event page, collecting sign-ups, communicating logistical information, and managing attendance. Networking begins after that foundation is in place. It asks a different question: among the people attending, which conversations are most likely to be valuable for each individual? That distinction becomes increasingly important as an event grows. A participant at a professional meetup might be looking for a technical co-founder, while another attendee wants introductions to potential customers and someone else is hoping to meet specialists in a particular market. Simply making dozens or hundreds of profiles discoverable does not automatically connect those intentions. A **networking intelligence layer** can reduce that discovery problem by helping participants prioritize relevant people instead of forcing them to manually evaluate everyone. ### Managing Attendees Is Different From Creating Connections Attendee management is an operational function. It helps an organizer understand who registered, who was approved, who received event information, and who ultimately attended. MeetWho itself also supports event creation and management functions such as registration, application approvals, waitlists, announcements, reminders, online-event link access for registered participants, and QR check-in. But its networking model goes further by giving participants a structured way to describe what they are working on, what they are looking for, who they want to meet, and how they can help others. Those signals provide context that a basic attendee record cannot. MeetWho can analyze them alongside shared interests and event goals to rank relevant people who have opted into networking. A recommendation can then explain **why two people should meet**, how they could potentially help one another, and how the conversation might begin. This changes the participant experience from: > “Here is everyone attending. Find someone interesting.” to a more useful model: > “Here are the people most relevant to your goals, together with the context you need to decide whether to connect.” The difference is not cosmetic. It shifts networking from directory browsing toward informed discovery. ### The Gap Between Registration Data and Meaningful Networking Registration data can tell an organizer who intends to attend. It does not necessarily reveal enough about why those people should speak with one another. Even when profiles include job titles or company names, two participants with apparently different backgrounds may have highly complementary goals. Consider a startup workshop. One attendee may be building a B2B product and looking for insight from experienced sales operators. Another may be a commercial leader interested in advising early-stage founders. A conventional participant list requires both people to notice each other and independently infer that a conversation could be useful. Intelligent attendee matching can surface the relationship directly. This is where a **Luma networking layer** becomes a useful way to think about an event stack. Instead of asking one platform to perform every function, organizers can separate operational event management from deeper participant discovery and relationship-building. ## What Is the Luma Networking Layer Approach? A Luma networking layer is best understood as an additional networking capability placed alongside an existing Luma-centered event workflow. It is not necessarily a native feature, plugin, or official integration. Rather, the term describes a stack architecture: keep the tools that already handle useful parts of the event process and introduce a dedicated layer for attendee matching when better participant connections are required. For organizers, this approach can be especially relevant when the problem is not registration itself. If event pages and sign-ups are already working, rebuilding the entire workflow solely to improve networking can introduce unnecessary complexity. A complementary layer lets the team focus specifically on helping participants find high-value conversations. ### Extending Existing Event Infrastructure Without Replacement An event technology stack does not have to be all-or-nothing. Different systems can address different stages of the attendee journey, provided organizers maintain a clear experience and respect participant privacy. MeetWho can serve as the environment where networking intentions become actionable. Participants build professional profiles and specify: - what they are currently working on; - what they are looking for; - the kinds of people they want to meet; - topics where they can help other attendees; - relevant interests and networking goals. MeetWho then uses this context to produce personalized recommendations among users who have permission to participate in networking. Instead of exposing private information or selling attendee lists, the platform keeps organizer settings and participant consent central to the experience. For teams exploring **attendee matching software** alongside an existing event stack, this distinction matters. The objective is not simply to add another database of attendees. It is to add an intelligence layer capable of turning participant context into more meaningful opportunities to connect. ### Adding Intelligent Matching to Your Current Workflow The practical value of intelligent matching comes from prioritization. At a conference, founder gathering, professional community event, workshop, or online session, participants usually have limited time. The challenge is therefore not maximizing the number of people they encounter. It is improving the probability that the conversations they choose are relevant. MeetWho approaches that problem by ranking suitable connections and providing context for each recommendation. Participants can send connection requests, message after establishing a mutual connection, save private notes, create follow-up reminders, and manage their connection history after the event. That creates a networking journey that extends beyond discovery: **Event participation → professional context → relevant matches → connection request → conversation → notes and follow-up** For organizers, adding **AI event matching** in this way can transform networking from an open-ended instruction—“go meet people”—into a more structured experience designed around mutual relevance. ## How MeetWho Adds Matching Alongside Luma Adding a networking layer is useful only when it improves how attendees make decisions. MeetWho does this by moving beyond basic registration attributes and focusing on the professional context behind each participant. Instead of treating every attendee as equally relevant to everyone else, the platform analyzes the information people voluntarily provide about their goals, interests, needs, and areas where they can offer value. This makes **event networking intelligence** more selective and more useful. The objective is not to maximize profile views or encourage indiscriminate outreach. It is to help each attendee identify a smaller set of people with stronger reasons to connect, while keeping networking access subject to organizer settings and participant consent. ### Understanding Attendee Goals and Professional Context Job titles alone rarely explain what someone hopes to achieve at an event. Two people with similar titles may have completely different objectives, while attendees from unrelated industries may have a strong reason to speak because their current needs overlap. MeetWho allows participants to add richer networking context to their professional profiles, including what they are working on, what they need, who they want to meet, and what they can help others with. These inputs can then be considered alongside shared interests and the goals of the event. For example, imagine three attendees at an entrepreneurship event: - A founder is looking for people with experience entering a new market. - A growth specialist wants to meet early-stage teams that need go-to-market guidance. - An investor wants conversations with founders in a specific sector. A conventional attendee directory may display all three profiles, but the participants still need to identify the potential relationships themselves. A matching system can instead recognize where goals and capabilities are complementary and surface those relationships earlier. This is an important distinction for organizers researching a **Luma networking layer**. The value does not come merely from displaying more information. It comes from making the available information useful enough to guide a networking decision. ### Ranking Relevant People Instead of Showing Endless Lists Large attendee lists introduce a simple problem: choice overload. If a participant has a limited networking window but hundreds of possible people to meet, manually reviewing every profile is unrealistic. Many users will browse a handful of names, speak with whoever happens to be nearby, or abandon structured discovery altogether. MeetWho takes a different approach. Among participants who have opted into networking, it can provide ranked, personalized recommendations based on relevance. This reduces the need to browse an entire public directory and helps attendees focus their attention on people more closely aligned with their goals. The model supports MeetWho’s broader **“Know who to meet”** philosophy. Effective professional networking is not measured solely by how many contacts someone collects. A smaller number of mutually useful conversations can be more valuable than a large number of random introductions. ### Explaining Why Two Attendees Should Connect A recommendation is more actionable when the user understands why it exists. MeetWho therefore does not stop at identifying a potential match. Recommendations can include an explanation of why two people may benefit from meeting, how they could potentially help each other, and personalized ideas for starting the conversation. That context solves an important networking problem. Discovering someone relevant is only the first step; approaching them confidently is another. Participants often hesitate because they do not know how to open a conversation without sounding generic or transactional. By providing contextual conversation starters, **AI attendee matching** can shorten the distance between discovery and an actual discussion. Once participants mutually connect, MeetWho also supports messaging, private notes, reminders, and post-event connection history, helping networking continue after the event itself. ## MeetWho vs. Traditional Attendee Directories Traditional attendee directories and intelligent matching systems serve different purposes. A directory provides access to information and leaves discovery primarily to the participant. A matching layer interprets networking context and helps prioritize possible connections. Capability Traditional Attendee Directory MeetWho Matching Layer Participant discovery Manual browsing Personalized, ranked recommendations Networking context Often based on basic profile fields Goals, interests, needs, and ways to help Reason to connect Participant must infer it Match rationale can be explained Conversation support Usually limited Personalized conversation starters Privacy model Depends on directory settings Organizer controls and participant consent are prioritized Follow-up Often handled elsewhere Private notes, reminders, messaging, and connection history Primary objective Make attendees discoverable Help attendees identify relevant people Neither approach should be evaluated solely by the number of visible profiles. The more useful question for an organizer is whether attendees can translate the available information into meaningful conversations. For networking-focused events, that means evaluating whether the participant experience answers three questions efficiently: **Who should I meet? Why should we talk? How should I start the conversation?** MeetWho is designed around these decisions rather than around unrestricted access to attendee information. ## Benefits of Adding Matching to Your Existing Event Stack Adding matching alongside an existing event workflow can be valuable when organizers want to improve networking outcomes without making event technology itself the focus of the attendee experience. The layer should reduce friction, not create another task attendees have to complete without a clear benefit. MeetWho is particularly relevant to conferences, community events, workshops, startup programs, corporate gatherings, online events, and other formats where the people in the room are an important part of the event’s value. ### Improve the Attendee Experience Participants arrive with different objectives. Some want collaborators, others want clients, mentors, partners, specialists, investors, founders, or simply knowledgeable peers. Asking all of them to navigate the same generic attendee list treats very different networking goals as if they were identical. Personalized recommendations create a more relevant starting point. By surfacing people based on participant context, **event matchmaking software** can help attendees spend less time searching and more time evaluating conversations that may actually matter. The experience also remains participant-controlled. A recommendation is not an automatic disclosure of private contact information, and a paid membership does not provide access to hidden profiles or private participant details. ### Increase Networking Outcomes Good networking does not end when two badges are scanned or two people exchange names. The value often appears later: in a follow-up conversation, a useful introduction, advice exchanged after the event, or a relationship that develops over time. MeetWho supports that longer lifecycle through mutual connection requests, messaging, private notes, follow-up reminders, and connection history. Plus members can access additional networking tools such as more active recommendations, detailed matching rationales, personalized conversation starters, AI-assisted introduction and follow-up messages, unlimited notes and reminders, and calendar integrations. For organizers, the broader opportunity is to design an event around **meaningful connections**, not simply attendance. When participants can understand who is relevant and why, networking becomes a deliberate part of the event experience rather than an unstructured break between sessions. ### Support Organizers Without Rebuilding Their Workflow For organizers already using Luma or another event platform, the strongest reason to add a separate networking layer is flexibility. Registration, event pages, communication, and networking do not always need to live inside a single system. If the existing operational workflow is working, organizers can focus specifically on improving participant discovery rather than replacing tools for the sake of consolidation. MeetWho can also handle event creation, registrations, application approvals, waitlists, reminders, announcements, registered-participant access to online event links, and QR check-in when those capabilities are needed. But in a complementary-stack scenario, its defining role is the networking layer: understanding attendees and helping them identify the people most worth meeting. ## How MeetWho Works for Conferences, Communities, and Workshops Different event formats create different networking challenges. A large conference creates a discovery problem because attendees have too many possible contacts. A smaller workshop may need deeper connections between participants with complementary expertise. A recurring community needs continuity so relationships can continue beyond a single event. MeetWho adapts to these situations by focusing on participant intent rather than treating networking as a one-size-fits-all directory. The same underlying approach—profile context, goals, interests, relevance, and permission-based recommendations—can support multiple professional event formats. ### Conference Networking Conferences frequently bring together founders, executives, specialists, service providers, investors, partners, and potential customers. The diversity creates opportunity, but it also makes random networking inefficient. An intelligent matching layer can help a participant narrow hundreds of possibilities into a more manageable group of relevant people. Instead of spending the event searching for the right room or scanning badges, attendees can arrive with a clearer idea of **who to meet and why**. ### Startup, Community, and Professional Events Founder events and entrepreneurship programs often involve specific, complementary needs: fundraising, hiring, customer discovery, partnerships, mentoring, or technical expertise. Community events may instead prioritize peer learning, collaboration, or relationships between members with shared interests. In both situations, MeetWho can use the networking context participants provide to surface potentially valuable connections. Workshops, corporate events, and online sessions can apply the same model when participant-to-participant interaction is an important part of the experience. ## Privacy-First Networking With User-Controlled Connections Networking technology should not require participants to surrender control over their information. MeetWho therefore treats organizer settings and participant consent as core parts of the networking experience. The platform does not operate on the assumption that every attendee should automatically be visible to everyone else. Matching occurs among users who have permission to participate, and organizers can determine networking privacy settings for their events. This approach also separates paid functionality from access to private information. A MeetWho Plus membership can provide advanced personal networking capabilities, but it does not unlock hidden profiles or private contact details. MeetWho does not sell participant lists. For organizers evaluating a **Luma networking layer**, these safeguards should be part of the selection criteria. Better matchmaking should come from better contextual understanding—not from weakening participant privacy. ## How to Add MeetWho to Your Event Workflow A practical networking workflow can be introduced without making the technology itself the center of the event. - **Define the event experience.** Decide which parts of registration and event management will remain in your existing stack and where MeetWho will support networking. - **Invite participants to build useful profiles.** Encourage attendees to explain what they are working on, what they need, who they want to meet, and where they can help. - **Set networking permissions.** Configure the event’s privacy and networking settings so participant visibility reflects organizer requirements and user consent. - **Let attendees discover relevant matches.** MeetWho can rank suitable participants and explain the context behind each recommendation. - **Turn recommendations into conversations.** Users can send connection requests and, once mutually connected, continue with messaging and relevant conversation starters. - **Support post-event follow-up.** Private notes, reminders, connection history, and additional Plus networking tools can help relationships continue after the event. The result is not simply another attendee database. It is a structured path from registration to discovery, conversation, and follow-up. **Want to make networking a more intentional part of your next event? Create an event with MeetWho for free, manage participants, and help attendees discover the right people to meet.** ## Frequently Asked Questions About MeetWho and Luma Networking ### Can MeetWho replace Luma? MeetWho includes event creation and management capabilities, including registration, approvals, waitlists, announcements, reminders, online-event access controls, and QR check-in. However, organizers do not need to approach the products as an either-or choice. If an existing Luma workflow already serves their operational needs, MeetWho can be positioned alongside that stack to add deeper attendee matching and networking intelligence. ### Does MeetWho work with existing event platforms? MeetWho can be used as part of a broader event technology stack. The relevant concept is complementary use rather than assuming an official native integration. Organizers can retain existing event tools while using MeetWho to improve participant profiling, discovery, recommendations, connection requests, and follow-up. ### How does MeetWho match event attendees? MeetWho analyzes information that participants provide about their professional context, including what they are working on, what they are looking for, who they want to meet, how they can help others, shared interests, and event goals. It then recommends relevant people among users who have opted into networking and can explain why a connection may be valuable. ### Does MeetWho reveal private attendee information? No. MeetWho prioritizes participant consent and organizer-controlled privacy settings. Paid membership does not grant access to hidden profiles or private contact information, and MeetWho does not sell participant lists. ### Is MeetWho suitable for conferences and online events? Yes. MeetWho is designed for conferences, professional networking events, community gatherings, workshops, startup programs, corporate events, and online events. Its matching approach is particularly useful when meeting the right participants is an important part of the event’s value. ## From Event Registration to Event Networking Intelligence A strong event stack should solve the problems that matter to both organizers and attendees. Registration systems help people get into the event. Communication tools help them know where to be. But when networking is central to the experience, participants also need a reliable way to answer a more personal question: **Who here is actually worth my limited time?** That is the role of a **Luma networking layer** built around intelligent matching. Rather than replacing an existing workflow unnecessarily, MeetWho can add a participant-focused layer that transforms professional context into ranked recommendations, clear matching reasons, conversation opportunities, and ongoing follow-up. The goal is not to help attendees collect the largest possible number of contacts. It is to make the connections they do make more relevant, intentional, and mutually useful. **Know who to meet. Create your event with MeetWho for free and turn attendee participation into meaningful professional connections.** --- Canonical HTML version: https://meetwho.app/blog/meetwho-alongside-luma-adding-matching-to-your-existing-stack Machine-readable site index: https://meetwho.app/llms.txt