Hi HN,I’m Grayson, the founder of Conceptor.ai. We’ve been building Florence, an AI agent that helps bankers, investors, searchers, founders, and corporate development teams create buyer, investor, and acquisition target lists.The workflow today is still surprisingly manual. People search databases, review company websites, compare firms one by one, and then try to determine which companies actually fit a specific transaction or investment strategy.With Florence, a user provides the transaction type, company criteria, and strategic context. It then identifies relevant companies, ranks them, and explains the reasoning behind each recommendation.A major reason we built it is that many tools in this market are designed primarily for enterprise teams and sold through expensive annual contracts. We wanted to make this kind of workflow directly accessible to individual users as well, while still supporting larger teams.The product is still early, and I’d especially appreciate feedback on:Whether automated list generation is actually preferable to manual search How relevant the recommendations feel Where the workflow feels confusing or limiting What would make the output more useful in a real sourcing processYou can try it here: https://www.conceptor.ai/Happy to answer questions about the product, data, ranking approach, or what we’ve learned building AI software for M A sourcing.