490 HumanX attendees onboarded themselves to an AI-native room at your event after a single booth conversation. No outbound, no paid lift. They're still using it today at 20%+ daily retention, roughly the benchmark of best-in-class consumer apps.
The room is already live, the data is already rich, and the asset belongs to HumanX. What it unlocks is a year-round, queryable layer under your existing event stack, one that sharpens connection, education, and sponsorship discovery with every event you run.
We brought a quiet experiment to the floor for three days. One booth outside the headshot lounge, April 7–9. A QR code. Conversations at the booth with anyone who stopped by. No paid media, no outbound from our team, no amplification beyond the people who walked up and asked what we were building. The question we wanted your audience to answer: would HumanX attendees onboard themselves to an AI-native room off a single in-person conversation?
Your audience answered. The signal showed up before the conference even opened: 2,909 unique users, 3,001 pageviews on April 6, the arrival day. Sign-ups peaked at 147 in a single day. All three conference days cleared 100 new members. Roughly one in ten of your attendees onboarded themselves after a single booth conversation, and the room is 490 members strong today.
A 10% conversion rate, off a single booth and a QR code. That's what your audience does when given the option, and it's the floor, not the ceiling.
The chart shows what unprompted demand looks like: a steady climb from arrival day forward, holding 300–800 pageviews a day through the event and beyond. Not a spike that decayed. A pattern that compounded.
The asset you already have, live today
Alani Connect isn't an event app or a community platform with AI bolted on. It's a live knowledge graph with a room on top of it, a category we built specifically for publishers, hosts, and convening organizations like HumanX. Every session transcript, post, member profile, and piece of event content is ingested as a node in your graph and made queryable in natural language. When an attendee asks Alani "what did the panel on agentic workflows actually conclude?", she answers from the graph. Today. Without any new work from your team. The room is the surface. The graph is the asset. You own both.
Inside the graph today: 352 library items, 41 posts, 490 member profiles. All cross-referenced. All queryable. All driving the 15–56% daily active rate the room is seeing post-event. The asset is yours. Everything that follows in this memo is about what's missing from it, and what unlocks when those pieces connect.
What your audience did once they were in
Sign-ups are easy. Coming back is the test.
Day-1 retention landed in best-in-class consumer territory
All three conference-day cohorts returned the next day at 20%+. For comparison: most event apps see near-zero return after Day 1. Best-in-class consumer apps (Instagram, TikTok, Duolingo) celebrate 25%. Your audience's room landed within striking distance of the best products on the App Store, off a booth, in three days.
Members behaved like a community, not an audience
Across the ten-day window, attention moved through a recognizable arc: land → orient → network → consume content. Feed dominated Day 1 (everyone landing). Profiles peaked Apr 8–9 (looking up who else was here). Posts and library content took over Apr 10–11 (event quieted, attention turned to what the room held). That sequence isn't something we programmed. It's what attendees did on their own, and it's the arc that separates a Slack channel from a community.
One outreach message. Two-hundred-plus views. Over the weekend after the event, our team uploaded session transcripts into the room and posted a single message pointing members to them. Posts views jumped to 223 that day and 203 the next. Members who had gone quiet came back. Not for a notification. For something worth reading.
This is the ROI story the room unlocks: the event's value extends past the conference floor. Every transcript, deck, and session becomes an asset that keeps working for twelve months after the last attendee flies home, and once your team is in the driver's seat, every drop compounds.
Most event platforms can't put a post-event chart in a deck, because there's nothing to put there. The app empties. The Slack goes quiet. Twelve months of work, back to zero.
HumanX closed on April 9. Four days later, the room is still pulling 36 to 153 visitors a day. No outreach. No emails. No paid pushes. 81 new members have joined since the event ended, averaging 20 per day on nothing but inertia and word of mouth.
The density is the part that should stop you. 15% to 56% of total members are active each day. Healthy community platforms run at 5%. Your audience is engaging at 3 to 10× the benchmark. On a good day, more than half the people in the room are in the room.
The event is over. The room isn't. That's the asset you now own.
The clearest thing your audience showed us wasn't in the numbers. It was in the questions they asked.
Every HumanX attendee walks in with one of three things on their mind: who to meet, what to learn, what to buy. Connection, education, sales. Every conference generates these three forces in parallel, and today they get handled by separate tools: a matchmaking app for connection, a session catalogue and recordings for education, a sponsor directory for sales. Three systems, three data silos, each of them quiet the day the event ends.
A queryable graph changes the shape of the problem. Sessions, speakers, members, and vendors as nodes in one substrate means the room your matchmaking app, your agenda, and your sponsor roster already point to has a persistent layer underneath. The Learner asks Alani what to study. The Networker keeps the context of the meetings they took. The Executive surfaces vendors against a budgeted need. Same graph, same room, three intent profiles served in parallel, and each one sharpens the others over time. What buyers ask reveals content gaps. What learners search reveals vendor categories. What networkers return to reveals which communities are worth convening next.
After three days and hundreds of conversations on your floor, every person we spoke to fit one of those three profiles. We've shaped what your audience showed us into a working frame, below. Each archetype gets served before, during, and after the event, without your team running a separate motion for each.
These archetypes aren't personas we invented in a workshop. They're a frame that emerged from watching your audience on the floor, and one we believe is the right first-principles model for designing what HumanX builds next.
Three of the four nodes that matter are already in your graph: sessions, speakers, members. Your attendees can query any of them today. One node is still missing, and it's the only one that serves attendees and unlocks new sponsorship revenue at the same time.
Vendors.
Every Executive on your floor came to Moscone with a budgeted problem. Most left without a clear path to a solution. Booth hopping isn't due diligence, and the vendor content that would have helped them (case studies, architecture docs, customer references) sat in PDFs on tables or behind lead-capture forms. None of it was queryable. None of it was in the room.
Add vendors to the graph, and three revenue streams open in sequence. A is the unlock. B and C only exist if A does.
Vendor content in the knowledge graph
What we observed. Floor placement is a lottery. Vendors near main halls and headshot lounges hummed all day; vendors tucked in back corners watched traffic die by lunch. They paid the same sponsorship dollars and got wildly different outcomes. And every vendor we spoke to faced the same cliff: once doors close, business cards get lost, conversations die in a notebook, and ROI evaporates.
What the graph does. A vendor profile and their content (case studies, architecture docs, customer references) ingested as nodes in the same graph that already holds your sessions, speakers, and members. When an Executive asks Alani "who's solving for retrieval at enterprise scale?", she surfaces the right vendors from the graph with the right context. Discovery becomes intent-driven, not foot-traffic-driven. Connections are organic. Floor placement becomes a bonus, not the whole game. The post-show cliff softens.
This is the anchor. The other two opportunities depend on it existing first.
A richer experience for your highest-intent attendees
With sessions, speakers, members, and vendors all queryable in one place, the room can do things for an attendee that no event app today can: synthesize sessions they missed, pre-match them with peers and vendors based on the problems they're trying to solve, plan an itinerary tied to their actual intent.
How this gets packaged, whether it's a feature for all attendees, a tier within your existing pass structure, or something else entirely, is a conversation we'd want to have with your team. What's clear is that the graph makes a meaningfully different attendee experience possible. The shape of how that gets monetized is yours to define.
A real-time picture of what your audience actually needs
Once attendees are interacting with Alani at scale, you have something no other conference can produce: aggregated, anonymized insight into what your audience is actually searching for. Which problems are top of mind. Which vendor categories have demand. Where the gaps are between what attendees need and what your sponsor roster currently offers.
For a programming team, this is signal for next year's agenda. For a sponsorship team, it's signal for which categories to recruit into. How HumanX uses it, and whether any of it ever gets externalized to sponsors, is your call. We'd want to build it with you, not hand you a packaged product.
Booths sell floor space. The graph sells outcomes. One of them dies on Friday at 5pm.
The 490 members in the room today have one thing in common: they stopped at our booth, had a conversation with our team, and signed themselves into your room. That's the population we reached with one table and three days. It's also the only slice of your audience currently in the graph.
HumanX already holds the rest. Six thousand-plus attendees with verified contact info, company, role, and session interest. Every one of them is a person who chose to be in the room at Moscone. None of them know the AI-powered version of that room exists.
If your team is open to it, we'd want to ingest and enrich the full attendee record into the graph: profiles, company context, session attendance, public bodies of work where available. The result is a true virtual representation of HumanX 2026, not a self-selected slice of it. The room becomes the conference, queryable.
Every attendee is a member on day one of Amsterdam. No QR code, no booth, no second adoption motion. They land in a room that already knows who their peers are, which sessions they cared about, and what content is available to them.
For the Networker, the graph stops being limited to who happened to scan in. For the Learner, content recommendations get richer because the system understands the audience. For the Executive, vendor matching gets sharper because intent signal exists at scale. And for HumanX, the room stops being a sample and starts being the source of truth.
This is also the path to a defensible answer to a question every conference is starting to face: what's the durable asset you own between events? Today, the answer for most is "an attendee list and a Slack channel that goes quiet." With the graph fully populated, the answer becomes a living, queryable representation of your audience and your content, working for twelve months instead of three days.
490 is what your audience built on its own. Six thousand is what we could build together.
This memo could sit in a drawer for eleven months and still be relevant. But you have two events in front of you before the next San Francisco show. Amsterdam in five months. Vegas in less than a year. Each one is an opportunity to run the room at a different scale, learn in public, and walk into Vegas with a playbook proven twice.
A contained, international audience. The natural next environment to extend what worked at Moscone, and to start ingesting vendor content into the graph at a scale your team can shape with us in real time.
If SF was the unprompted experiment, Amsterdam is the first run with intent.
9,500 enterprise leaders and 700 sponsors in one room. The flagship is where everything we learn at Amsterdam compounds, and where the graph has the audience scale to become a year-round asset, not just an event surface.
The defining show. The room with the most to gain from a complete graph.
We're not putting projection numbers in this memo because we don't have grounded inputs to project from yet. What we have is a baseline your audience set in SF (roughly 1 in 10 onboarded themselves, unprompted) and a clear sense of how that baseline moves once HumanX is in the loop. The numbers we'd model together are the numbers worth modeling.
We know what the twelve months around a conference look like, and the last thing your team needs is another platform to integrate. The path below is built to start with insight, not implementation. Each phase earns the next.
A 30-minute working session on the data
We sit down with your team and what your audience created in SF: the 490 members, the 352 library items, the activity patterns, what attendees searched for, where the unmatched intent showed up. We talk through what changes when the full attendee record gets ingested, and where vendor content fits. You walk out with a read-out you can share internally and a clearer sense of what the asset is. No commitment, no ask. Just the data, in your hands.
Amsterdam: extending what worked
We'd want to be in the room with you ahead of Amsterdam, figuring out together what to carry forward, what to test for the first time, and what shape vendor ingestion takes when the audience is contained and international. The right packaging, pricing, and commercial structure are conversations to have with your team, not assumptions to make in a memo.
Vegas: scaled to the flagship
Everything HumanX and bundleIQ learn together in SF and Amsterdam, scaled to 9,500 attendees and 700 sponsors. By that point we'll have two cycles of real data behind us: what to ingest, when, for whom, and how to measure it. The shape of the engagement at this stage is something we'll define together long before doors open.
You built something rare. Let's spend 30 minutes with it.
Everything in this memo comes from a room that's already live, already AI-powered, and already engaging 490 of your attendees. The graph works. The behavior is real. The asset is yours.
The simplest next step is a 30-minute working session with your team. We walk through the data together, answer whatever questions come up, and leave you with a read-out you can share internally. No commitment. No pitch. Just a conversation about what your audience built, and what Amsterdam could look like if we build on it together.
The data speaks for itself. Your audience walked into an AI-native room off a single booth conversation and stayed. They're still there today, and the room is still growing.
Amsterdam is five months out. Vegas is eleven. Both are close enough that the work to ingest, enrich, and activate the graph starts now — and a 30-minute working session in the next two weeks is how we figure out together what's worth doing first.
What HumanX has is rare: a high-signal audience that showed up, signed up, and stayed. What bundleIQ brings is the graph, the product, and the team to help that audience keep paying dividends for the fifty weeks your doors aren't open. Together, the next three years of HumanX can look very different from the last one.