Lensmor
Turn exhibitor data into pre-booked sales meetings
654 followers
Turn exhibitor data into pre-booked sales meetings
654 followers
Unlike generic contact databases, Lensmor starts with exhibitor data, helping teams discover relevant events, find exhibiting companies, identify decision-makers, reveal verified emails, and book meetings before the show begins. Standout features include 160,000+ global events, exhibitor search, reverse company-to-event lookup, CSV export, and an AI agent for lead discovery and outreach planning.
Congrats on the launch, and as one who loves going to expos for leads, I really like the idea! I was wondering whether the database could include side events related to each expo. Based on my experience, most real networking happens outside the exhibition space at those events, so I believe it would be helpful to include those information for reference as well.
Lensmor
@jinhao_bai2 Great point — and I completely agree. Our current focus is the core exhibitor and event intelligence layer, but we definitely see side events as an important part of the broader event graph. They can reveal where high-value conversations are more likely to happen, not just who is officially exhibiting.
One challenge is that side-event data is often fragmented and less structured, but that’s exactly why it could become very valuable once mapped properly. We’ll be exploring this direction more as we expand Lensmor beyond exhibitor lists into a richer pre-show intelligence workflow.
GraphBit
Good one for sales people. How does it help with bulk outreach, like someone want to set outreach sequence automatically?
Lensmor
@imrulkaayes Exactly — and I think this is an important distinction.
Trade shows are already a form of scaled customer acquisition. The real question is not just “how do I send more emails?” but “which event has the highest concentration of ICP-fit companies, and who should I meet there?”
For B2B, trust still matters a lot. Offline conversations and face-to-face meetings can create a level of credibility that purely automated outreach often can’t.
So our view is not to use AI for “spray and pray” bulk outreach. It’s to use AI to make the offline GTM motion much more precise: choose the right events, identify the right companies, find the right people, and create a relevant reason to connect before the show starts.
Lessie AI
Generic lead databases rarely understand event intent. Exhibitor data is a better starting point because it already tells you which companies are investing in that market. Love the idea of Lensmor!
Lensmor
@alexia_li Most lead databases start from “who could be a buyer.” But event data starts from “who is already making a market move.”
When a company chooses to exhibit, they’re not just fitting an ICP on paper — they’re actively investing budget, showing up in a category, and trying to create demand in a specific market window.
That’s why we believe exhibitor data is such a strong starting point for sales teams. Really appreciate your support!
Gro
Trade show ROI is hard to prove when the team starts with an unstructured list. Lensmor’s approach should make the before-and-after much easier to track.
Lensmor
@lily_liu8 Thanks Lily, exactly.
When the starting point is an unstructured list, it becomes hard to tell what worked and what did not after the event.
We want Lensmor to help teams create a clearer before-and-after:
which exhibitors matched the ICP, who was contacted, which conversations turned into meetings, and what actually came from the show.
The product feels useful because it connects event data to the sales workflow. That bridge is usually handled manually by someone on the team.
Lensmor
@william_wang24 Thanks William — exactly.
I like that Lensmor starts with the event context first. For RevOps teams, a cleaner target list before the show can save a lot of messy follow-up work later.
Lensmor
@shirley_mou Absolutely, we’ve heard this pain point so many times from sales teams, both in Reddit discussions and in day-to-day conversations.
AI is moving incredibly fast, but the trade show workflow still feels very traditional and manual. That’s exactly why we wanted to build something focused on the event context first.
HeyForm
Congrats on the launch, Claire! Love the angle of Lensmor.
From my experience, trade shows are expensive, yet most teams still prep with messy spreadsheets and generic lead lists. Turning exhibitor data into a prioritized meeting list before the event is a practical, high-ROI use case.
Lensmor
@itsluo Thanks Luo, really appreciate it.
That’s exactly the gap we’re focused on. Trade shows are expensive, but the prep often still depends on someone manually cleaning exhibitor lists, guessing which companies matter, and stitching together contacts in a spreadsheet.
Our goal is to make the pre-show workflow much more concrete:
which exhibitors should we prioritize, who should we contact, and how do we turn that into meetings before the event starts?
HeyForm
@clairehuang That makes sense!