Dynasty Trade Calculator
Fair dynasty trades with market-aware Superflex values
What it does
Compare dynasty football players and future draft picks with market-aware Superflex trade values powered by nflverse data. Free and no signup required.
Use this free dynasty Superflex trade calculator to compare NFL players and future rookie picks with transparent, market-aware values. Browse every active fantasy-relevant player. Every ranking uses the complete FairPlay model across the full player pool. Market behavior and career outlook combine into one useful value. The calculator is calibrated for dynasty Superflex and Half PPR leagues. FairPlay is intentionally focused. The calculator does not claim to be a redraft, keeper or live injury-advice tool. Its values are built for long-term dynasty decisions where quarterbacks, age curves and rookie picks matter. Read the dedicated Superflex calculator guide for the format assumptions,…from fftradecalculator.com
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https://dynastytradevalues.com4d ago · dynastytradevalues.com · ▲1algorithmic trade values for dynasty fantasy football
More growth this month
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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 · 10d 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