Unverified50% confidenceOpinionExact time
Product Hunt vote counts typically range from tens to hundreds, so 160 votes is a middling-to-above-average performance that reflects attention from the early tech community but cannot be directly equated with market size or commercial success.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
TheySaid 4.0: Predict User Reactions Right Inside Your Dev Tools
producthuntProductHunt Daily10/27/2026
Related Entities
Related Claims
UnverifiedProduct Hunt's daily leaderboard ranking is calculated by combining votes and engagement, but the sample is dominated by early adopters and tech enthusiasts and deviates from the real evaluations of professional users in vertical industries, so its data is better suited as a record of a marketing event rather than reliable evidence of product-market fit.79% similarUnverifiedProduct Hunt's audience consists mainly of tech enthusiasts and early adopters, and voting behavior reflects topical attention more than actual sales or product maturity.74% similarUnverifiedProduct Hunt's voting mechanism does not verify whether users have actually tried a product, so vote counts reflect community attention more than product retention.73% similarUnverifiedProduct Hunt's voting system assigns different weights to votes based on the voter's community activity level and historical contributions67% similarUnverifiedProduct Hunt's ranking algorithm weights votes, giving higher weight to votes from active users and those within the Hunter's social graph, while votes from new accounts or those arriving in concentrated surges are downweighted.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1103789API
curl https://kongchang.com/api/v1/knowledge/claims/1103789MCP
get_claim(id=1103789)