Lessie is an AI agent that helps you find and reach the right people. Instead of filters or keywords, describe your target. Lessie discovers high-quality matches across the web and automates personalized outreach and follow-ups.
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Render Sandboxes: a computer for every agentIsolated compute, persistent state and a real filesystem
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Good reminder that the hard part of outreach is usually saying something relevant, not just finding an email field.
@aaaarthur Finding an email is one job; saying something relevant is the harder one. Can't agree more.
@aaaarthur Finding the contact is just the first step. Crafting something relevant that actually gets a response is where the real challenge lies. That’s why Lessie also focused on helping with tailored outreach, not just the search.
This is the kind of feature that matters because it protects sender reputation, not because it's exciting on a landing page.
@onlyyoulove3 Agreed. Sender reputation is one of those things that quietly determines whether outreach actually scales.
@onlyyoulove3 We wanted to make sure that efficiency doesn’t come at the cost of credibility. Protecting sender reputation is subtle but critical, and it’s a core part of what Lessie manages behind the scenes.
👋 Hi PH! Sharon here, CPO at Lessie.
Most search tools are noisy, static databases. We built Lessie to solve this at the architectural level.
Our AI-native engine reasons in real-time, benchmarked across 119 queries. Lessie leads in SOTA Matching Quality, outperforming traditional tools in Relevance (70.2), Coverage (69.1), and Utility (56.4) by synthesizing identity beyond simple keywords.
Full report: https://github.com/LessieAI/people-search-bench
Search, Reach, Connect. Challenge Lessie today! ⚡️
What I like about this influencer discovery workflow is that it seems built around fit, not just volume. I'd rather get a short list of relevant creators than another giant export I'll never touch.
@janette_szeto Totally get you! So much noise for growth people, FIT is much more important for efficiency!
@janette_szeto Appreciate that! We deliberately pushed for fit over volume because most teams don't need more names, they need the right creators.
influencer sourcing is usually a manual nightmare of comparing engagement rates and profile vibes. using ai to evaluate the 'fit' before reaching out could save our agency dozens of hours a week. the ph50 code is a nice touch signing up to test a real use case today.@colin_yu_123
I like products that reduce tab-hopping. Investor discovery usually means bouncing between Crunchbase, LinkedIn, X, and personal notes; pulling that into one flow is genuinely useful.
@eeeeeach Same🙋 Reducing tab-hopping was one of the first things we wanted to fix in this workflow.
@eeeeeach Tab-hopping is the exhausted. Bringing everything into one flow was exactly what we were aiming for, so it’s great to hear it resonates. Would be curious to see how it handles your investor searches if you give it a spin!
A lot of tools help you search; fewer help you narrow. The lead generation angle makes sense because the hard part is usually filtering for ICP fit, not finding names.
@gangsirleo Well said. Narrowing is usually harder than searching, so a lot of the product work has gone into helping people filter faster.
@gangsirleo Exactly, that’s the tricky part. Finding names is easy; figuring out which ones are actually a good fit is where most tools fall short. Would love to hear how it works for your own use cases if you try it!