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Lensmor is a next-generation AI-native Event Intelligence and GTM (Go-To-Market) Signal platform tailored for B2B enterprises. Unlike traditional providers that simply sell static attendee lists, Lensmor solves the critical challenge of converting "Who is there" into "Who is ready to buy." By aggregating data from over 160,000 top global B2B events, Lensmor powers a three-tiered intelligence engine: Event Aggregation, Dynamic Lead Graphs, and Deep Intent Analysis, equipping sales teams with actionable intelligence that goes far beyond static spreadsheets.
ExplainDev
LensmorLensmor's answer:
Lensmor is the only AI-Agent-native platform in the pre-show exhibitor intelligence space. While competitors like Vendelux sell static attendee databases, Lensmor lets sales reps describe their ICP in plain language and instantly get a qualified prospect list โ enriched with verified contacts and AI-drafted outreach โ weeks before the event. The entire workflow from discovery to first message takes minutes, not days.
Lensmor's answer:
Vendelux, the category leader, is a traditional database product built around human sales cycles. Lensmor is Agent-first and self-serve: no onboarding calls, no static exports. B2B teams in tech, finance, and consumer industries can run a full pre-show prospecting workflow โ find exhibitors, enrich contacts, draft outreach โ without waiting on a vendor. For teams that want speed over depth of enterprise features, Lensmor wins on time-to-pipeline.
Lensmor's answer:
B2B marketing and sales teams (Manager level and above) at tech, finance, and consumer companies that actively exhibit at trade shows. They spend significant budget on event participation and want to convert that spend into measurable pipeline โ not just badge scans.
Lensmor's answer:
The founding team observed that the pre-show exhibitor intelligence market is massively underpenetrated โ Vendelux is the only real player, and it operates on a traditional data-sales model. With AI Agent technology maturing in 2025, building a self-serve, AI-first version of this workflow became viable for the first time. Lensmor was built to give any B2B team the same pre-show intelligence advantage that was previously only accessible to large enterprise sales orgs.
Lensmor's answer:
Large language models (Claude by Anthropic) for the AI Agent layer, large-scale web crawling and data aggregation covering 160,000+ global B2B events, contact enrichment APIs, and a REST API backend supporting CRM integrations with HubSpot and Salesforce.
Lensmor looks especially promising for teams working around exhibitions and trade shows. It feels focused, practical,and much more relevant than generic market monitoring tools. I like that it seems built to help users quickly spot useful industry and competitor signals without getting lost in noise.
Based on our record, ExplainDev seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Thanks for the note. Generally best to just describe the task (need to improve the system prompt to always only return tools). Here's the response I got: https://imgur.com/a/NyHBCe2 (https://programming-helper.com/ , https://explain.dev/ , https://tldrdev.ai/ , https://code-mentor.ai/) In addition to the categorization and summary (driven by GPT-4), it takes into account performance metrics of the tool (visits,... Source: about 3 years ago
Agree with so many of the comments here. I believe the way to equip folks to be productive with legacy code is build tools that replicate the goodness of an experienced engineer while on the job. Supplement the help available and ensure the person onboarding is benefitting from the questions that were asked by new folks before them. I started building the tool here: explain.dev While courses could help you feel... Source: over 3 years ago
The technology behind the images is ExplainDev, an AI powered programmer's assistant. You can think of it as an expert that's always available to answer your technical questions and explain code. - Source: dev.to / almost 4 years ago
I used explain.dev for code explanations and snappify.io for the visuals :). Source: about 4 years ago
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