
Markwhen
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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.
Markwhen
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, Markwhen seems to be more popular. It has been mentiond 15 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.
Iโve been using MarkWhen for a similar life timeline https://markwhen.com. - Source: Hacker News / over 1 year ago
Reminds me a little bit of https://markwhen.com/. - Source: Hacker News / over 1 year ago
Have you tried https://markwhen.com/ I have not personally used it yet, but I would consider it if I wanted to work with timelines. - Source: Hacker News / over 1 year ago
๐ Andrew Ng's AI Suite OSS ๐ Open Jupyter Notebooks from github ๐ Snowpipe Streaming with Kafka Auto Schema ๐ SenseCAP Watcher AI Physical Device ๐ cool projects like sdkman and debezium ๐ Using AgentKit for orchestration ๐ Super charged voice ๐ Agents with Memory ๐ OpenInterpreter lets you run code locally ๐ Extract Structured Data from Documents ๐ Unifiy Streaming, Batch, AI ๐ Automated AI... - Source: dev.to / over 1 year ago
The creator of this (Chee Aun) is quite prolific and creative with their work (https://cheeaun.com/projects/). They created https://cheeaun.life, a timeline of their life, more than 10 years ago (which looks to be kept up to date), which was my inspiration for markwhen (https://markwhen.com). - Source: Hacker News / over 2 years ago
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