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Andrew ApellIntroducing the latest update for Flookup Data Wrangler: AI-powered data cleaning. Now, you can clean your datasets using natural language to specify what you want Flookup to do through tasks line fuzzy matching, duplicate removal and data standardization
About Flookup 4.0 on Product Hunt
“Fuzzy match, merge and remove duplicates by text similarity”
Flookup 4.0 was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #64 on the daily leaderboard. Introducing the latest update for Flookup Data Wrangler: AI-powered data cleaning. Now, you can clean your datasets using natural language to specify what you want Flookup to do through tasks line fuzzy matching, duplicate removal and data standardization
Who hunted Flookup 4.0?
Flookup 4.0 was hunted by Andrew Apell. 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.
Want to see how Flookup 4.0 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.