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SplitShot
Honest collectible card values
SplitShot values any trading card across several games (Pokémon, Magic, etc.) by fusing real marketplace data into one fair value. It then tells you the smart price to buy, the smart price to sell, what you'd net after fees, and whether grading is actually worth it. Confidence scores on every number, no accounts, no ads, free forever.
About SplitShot on Product Hunt
“Honest collectible card values”
SplitShot was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #100 on the daily leaderboard. SplitShot values any trading card across several games (Pokémon, Magic, etc.) by fusing real marketplace data into one fair value. It then tells you the smart price to buy, the smart price to sell, what you'd net after fees, and whether grading is actually worth it. Confidence scores on every number, no accounts, no ads, free forever.
On the analytics side, SplitShot competes within Star Wars and Pokemon — topics that collectively have 11.4k followers on Product Hunt. The dashboard above tracks how SplitShot performed against the three products that launched closest to it on the same day.
Who hunted SplitShot?
SplitShot was hunted by Vijaya Kolachalama. 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 SplitShot including community comment highlights and product details, visit the product overview.
Hey PH! Built this because card price sites kept showing my son and me suspiciously confident numbers. SplitShot is the opposite: every value shows its sources, its confidence, and its realistic range. Also, when our data is thin, the number literally gets rounder. Favorite features: the "aim to pay under X" buy discipline, the net-after-fees sell calculator, and the grading verdict that weights actual PSA gem rates instead of best cases. Ask me anything, especially about the pricing math.