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Hi Product Hunt,
I'm Emma, an independent developer from China.
After leaving my full-time job, I started building apps with the help of AI tools.
Songsong Magic School is my latest project—a magical Sudoku adventure where players restore a broken academy one puzzle at a time.
I wanted to make Sudoku feel less intimidating and more like an exploration game, so I replaced numbers with magical elements and created an academy full of stories and locations to discover.
I'd love to hear your feedback, especially:
• Is the gameplay easy to understand?
• Does the magical theme make Sudoku more enjoyable?
• What would you improve?
Thank you for checking it out! ❤️
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About Songsong Magic School on Product Hunt
“Restore a magical academy through Sudoku puzzles.”
Songsong Magic School was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #8 on the daily leaderboard. Songsong Magic School is a story-driven Sudoku adventure where you restore a magical academy by solving handcrafted puzzles from 4×4 to 9×9.
Songsong Magic School was featured in iOS (110.5k followers), Puzzle Games (4.3k followers) and Education (78.8k followers) on Product Hunt. Together, these topics include over 71k products, making this a competitive space to launch in.
Who hunted Songsong Magic School?
Songsong Magic School was hunted by Emma Wang. 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 Songsong Magic School stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Emma Wang