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Consumer Sentiment Match
We revamped our consumer score to increase accuracy
We have pioneered a new methodology, Semantic Similarity Rating (SSR), to deliver rapid, cost-effective, and highly accurate market research. This approach leverages the advanced reasoning capabilities of Large Language Models (LLMs) like Gemini to replace traditional, high-cost survey panels and focus groups. This AI-powered solution delivers the depth of qualitative research at the speed of a quantitative query, reducing market analysis timelines from over six weeks to under three minutes.
“We revamped our consumer score to increase accuracy ”
Consumer Sentiment Match was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #84 on the daily leaderboard. We have pioneered a new methodology, Semantic Similarity Rating (SSR), to deliver rapid, cost-effective, and highly accurate market research. This approach leverages the advanced reasoning capabilities of Large Language Models (LLMs) like Gemini to replace traditional, high-cost survey panels and focus groups. This AI-powered solution delivers the depth of qualitative research at the speed of a quantitative query, reducing market analysis timelines from over six weeks to under three minutes.
Who hunted Consumer Sentiment Match?
Consumer Sentiment Match was hunted by Cole Crescas. 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.
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Cole Crescas