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Product upvotes vs the next 3

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Product comments vs the next 3

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Product upvote speed vs the next 3

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Product upvotes and comments

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Product vs the next 3

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Customer Conversations Dataset

Synthetic dataset

500 synthetic e-commerce customer support conversations, ready for chatbot training and ML research.

About Customer Conversations Dataset on Product Hunt

Synthetic dataset

Customer Conversations Dataset was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #104 on the daily leaderboard. 500 synthetic e-commerce customer support conversations, ready for chatbot training and ML research.

On the analytics side, Customer Conversations Dataset competes within E-Commerce, Bots and Data — topics that collectively have 154.4k followers on Product Hunt. The dashboard above tracks how Customer Conversations Dataset performed against the three products that launched closest to it on the same day.

Who hunted Customer Conversations Dataset ?

Customer Conversations Dataset was hunted by Soham l Ambekar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Customer Conversations Dataset including community comment highlights and product details, visit the product overview.