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A data-driven lotto analysis platform for 40+ international lotteries. Explore historical draw patterns, frequency statistics, number trends, and probability insights. No predictions. No magic formulas. Just transparent data.
Hey everyone!
I built LottoPatternCheck because I was curious about lottery data and realized most lottery websites either generate random numbers or try to convince people they can predict winning numbers.
I wanted something that focused on the actual data instead.
The site lets you explore historical draws from lotteries around the world, look at number frequencies, find common patterns, check things like birthday bias, and generate random picks that follow the rules of each game.
The hardest part was collecting and organizing historical draw data from different countries. What started as a simple number picker turned into a much bigger project around statistics and historical analysis.
I'm not trying to predict winning numbers. Nobody can do that. The goal is to help people understand the data behind the games they already play and maybe discover interesting trends along the way.
I'd love to hear what you think and what features you'd like to see next. Thanks for checking it out!
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About LottoPatternCheck on Product Hunt
“Historical Lotto Statistics and Number Analysis”
LottoPatternCheck was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #123 on the daily leaderboard. A data-driven lotto analysis platform for 40+ international lotteries. Explore historical draw patterns, frequency statistics, number trends, and probability insights. No predictions. No magic formulas. Just transparent data.
LottoPatternCheck was featured in Data & Analytics (5.7k followers), Data Visualization (3.5k followers) and Statistical Analysis (884 followers) on Product Hunt. Together, these topics include over 4.7k products, making this a competitive space to launch in.
Who hunted LottoPatternCheck?
LottoPatternCheck was hunted by Renzo Magracia. 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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Renzo Magracia