For the calibration-curious
Everyone in your feed already agrees with you. That's the problem.
You already know your feed is a bubble. What you don't know is how big it is, or what your take looks like to someone who reads the world differently than you do. UpTrust has two ways to find out, and both feed straight into how your own feed gets ranked.
Blind first, revealed after
Answer before you see who agrees with you
Calibration cards put a real statement in front of you with no names attached yet. You call it your way. Only then does UpTrust reveal which named perspectives read it the same way you did, and which ones didn't. No hedging once you see a crowd forming.
Ten cards in, you get a plain readout: who your instincts line up with, and where you're more of an outlier than you assumed. That's a starting point for your feed, not a verdict on you. You can run it again any time your views shift.
Put real weight behind a real belief
A regular vote and a trust bet aren't the same thing
A tap says you agree. A trust bet says you'd stake your reputation on it, under your own name, and the feed shows exactly who backed a post. Before you submit, pick your own conviction tier, from Endorse up through Boost, Bet hard, and All in: a private gut check for yourself, feeding the same engine that will resolve stakes against a network's actual disagreement once it's fully live. We are rolling it out carefully rather than turning it on for everyone at once.
Why this matters beyond you
Judgment, tracked over time
Every calibration card already feeds the same trust graph that ranks what you see, and trust bets are built to join it the same way once their resolution engine is fully live. Over time that graph knows something a follower count never will: whose track record actually holds up. On Questions, the contested topics people are still arguing over get laid out with every side represented, weighted by that same record instead of by who shows up loudest.
Ten cards. A few honest bets. See where you actually stand.
Sign up and run your own calibration. Your feed starts from what it learns, not from a guess.
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