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dailypedia
Personalized daily Wikipedia reads, tuned to your curiosity
Six million Wikipedia articles. One, chosen for you each day. Pick from 18 worlds and 64 topics; in under a minute they become a map of your curiosity. Like or skip, and tomorrow's pick gets more personal. No feed, no trending list, no pressure to keep scrolling: read it, and you're done. Your taste profile is drawn from the same picks and reactions that choose your reads, so you watch your curiosity take shape. iOS readers can translate articles on-device. Free, no ads.
Years ago I came across an IFTTT applet that emailed you a random Wikipedia article every morning. I loved the idea, but it never knew what I was curious about. The real Wikipedia joy was the rabbit hole: following my own curiosity link by link, and losing hours to it.
dailypedia brings the two together: one article a day, shaped by your interests and feedback, and then you're done.
It's been live on both stores for more than a month: 150+ readers in 25+ countries so far, and 5000+ daily picks delivered.
A few things under the hood: • The recommendation engine went through six revisions before launch, each tested in ten-year simulations across different reader personas. • The taste profile isn't decoration: it's drawn from the same picks and reactions the recommendation engine reads, and it's deterministic, so the same history always draws the same figure. • On iOS, articles translate on-device with Apple Translation; the app itself speaks seven languages.
One heads-up: onboarding ends with an Apple or Google sign-in, so your reading history and taste profile survive a new phone.
It's free, with no ads or paywall. On iOS there's an optional tip that unlocks nothing.
I'd love your feedback: did your first pick feel like it was chosen for you?
About dailypedia on Product Hunt
“Personalized daily Wikipedia reads, tuned to your curiosity”
dailypedia was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #127 on the daily leaderboard. Six million Wikipedia articles. One, chosen for you each day. Pick from 18 worlds and 64 topics; in under a minute they become a map of your curiosity. Like or skip, and tomorrow's pick gets more personal. No feed, no trending list, no pressure to keep scrolling: read it, and you're done. Your taste profile is drawn from the same picks and reactions that choose your reads, so you watch your curiosity take shape. iOS readers can translate articles on-device. Free, no ads.
On the analytics side, dailypedia competes within Education, Books and Online Learning — topics that collectively have 205.9k followers on Product Hunt. The dashboard above tracks how dailypedia performed against the three products that launched closest to it on the same day.
Who hunted dailypedia?
dailypedia was hunted by Erdinç Tekay. 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 dailypedia including community comment highlights and product details, visit the product overview.
Erdinç Tekay
Hi Product Hunt 👋
Years ago I came across an IFTTT applet that emailed you a random Wikipedia article every morning. I loved the idea, but it never knew what I was curious about. The real Wikipedia joy was the rabbit hole: following my own curiosity link by link, and losing hours to it.
dailypedia brings the two together: one article a day, shaped by your interests and feedback, and then you're done.
It's been live on both stores for more than a month: 150+ readers in 25+ countries so far, and 5000+ daily picks delivered.
A few things under the hood:
• The recommendation engine went through six revisions before launch, each tested in ten-year simulations across different reader personas.
• The taste profile isn't decoration: it's drawn from the same picks and reactions the recommendation engine reads, and it's deterministic, so the same history always draws the same figure.
• On iOS, articles translate on-device with Apple Translation; the app itself speaks seven languages.
One heads-up: onboarding ends with an Apple or Google sign-in, so your reading history and taste profile survive a new phone.
It's free, with no ads or paywall. On iOS there's an optional tip that unlocks nothing.
I'd love your feedback: did your first pick feel like it was chosen for you?