OutRip
pay-to-rank, but you’re opening packs
What it does
OutRip is a pay-to-rank board where the rank is a pull, not a bid. Put your product in the set, open a $5 booster, and your single highest-rated card is your place on the public board — not what you spent, and not how many you hold. Rating is one over the square root of how likely the card was, computed from six published trait frequency tables, so it is continuous: there is no top card and first place is always beatable. Every pack returns at least what you paid in card value.
Rip a pack of collectible cards for your product; your single best card’s rating is your rank on the public board. Rating is continuous and computed from six published trait frequencies, so there is no ceiling and first place is always beatable. Every pack returns at least what you paid in card value.
Pulled on card 5 of 1 packs. It beats kynth.studio by 878.9 % . Its roll was Bone chroma, Sensor eyes, the Rune mark and a Foil cut — about 1 in 310,992 to roll exactly. The k-th pull sets a record with probability 1/k, so takeovers thin out on their own — about ln(k)+0.577 of them over the board’s whole life, whatever its scale. Nothing throttles this; it is what a continuous rating does , and it is the one thing a bid board cannotfrom outrip.lol
Does the same job
all alternatives →
DailyOutbid.lol14d ago · dailyoutbid.lol · ▲12Another outbid.lol copycat, but leaderboard resets EVERY 24h
More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com