Provide a prompt and get your perfect leads. origami.chat has 100+ data sources - use it to find more of your perfect customers, enrich a CSV, or get decision makers. Try it out and get a lead list in seconds!
The credits based system is confusing because I dont know how many leads I can get from it.
How many leads do you currently have in your database?
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Congrats on the launch! As someone building a product with AI integration, I'm curious about your conversational UX decisions. When a user says "find me 50 SaaS CTOs in NYC who recently raised Series B," how much back-and-forth refinement typically happens before the list is useful? Do most users get what they need in one prompt, or is it more of an iterative conversation?
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Clean concept. As a freelancer I spend too much time finding leads manually. The prompt-based approach is smart, way faster than filtering through LinkedIn. Curious how it handles niche B2B audiences.
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Congrats on the launch 🚀
Have you thought about a post-launch visibility strategy? Many great tools struggle after day one
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Interesting approach. Lead gen tools usually struggle because data quality and intent matter more than raw search results. If prompt-to-list with confidence scoring actually delivers usable contacts, that could change outbound for small teams. How are you handling data provenance and filtering so lists convert rather than just expand in size?
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Does this work for b2b, b2c, and also finding things like affiliates? Is it mostly to find contacts for direct outreach and if so, how does it scale?
Used this to sources a lot of job ops for college students - super useful
Origami.chat
@austin_kennedy2 a lot of job finding uses on it surprisingly!
Liked the tool!
The credits based system is confusing because I dont know how many leads I can get from it.
How many leads do you currently have in your database?
Congrats on the launch! As someone building a product with AI integration, I'm curious about your conversational UX decisions. When a user says "find me 50 SaaS CTOs in NYC who recently raised Series B," how much back-and-forth refinement typically happens before the list is useful? Do most users get what they need in one prompt, or is it more of an iterative conversation?
Clean concept. As a freelancer I spend too much time finding leads manually. The prompt-based approach is smart, way faster than filtering through LinkedIn. Curious how it handles niche B2B audiences.
Interesting approach. Lead gen tools usually struggle because data quality and intent matter more than raw search results. If prompt-to-list with confidence scoring actually delivers usable contacts, that could change outbound for small teams. How are you handling data provenance and filtering so lists convert rather than just expand in size?
Does this work for b2b, b2c, and also finding things like affiliates? Is it mostly to find contacts for direct outreach and if so, how does it scale?