Founder-story: After watching Kevin Durant sink a fifty-point night yet still get trolled in comment threads, IRIS creator Igor realised dating apps treat attraction the same wayâfavouring noise over skill. He built a training swipe that measures micro-reactions the way scouts log jump-shot arcs. Users rate a short photo reel; the algorithm maps their AttractionDNA⢠and searches only for profiles likely to like them back. Early testers shaved hours off swiping and doubled meetup rates. Today, basketball buffs use IRIS to skip endless scrolling and move straight to playoff-worthy conversations about player efficiency and best arena nachos, proving targeted chemistry beats blind volume every time.
In under a minute youâll swipe through a curated reel of facesâthink warm-up drills before tip-off. Each reaction shapes a neural model of your type, focusing on symmetry and subtle expressions, not bio fluff. Once complete, IRIS compares your pattern to millions of verified singles and filters those with matching shot charts. The payoff: a match queue that feels like highlight reels, not full-game replays, giving you more time for post-victory celebrations with friends cheering courtside.
IRISâs transparent Trust Rating appears beside every avatar, summarising selfie verification, reply reliability and community feedback. Scores rise when members confirm meetups or exchange respectful messages and drop for ghosting or spam. You can filter for high scorers, ensuring pre-date chats feel like friendly scrimmages, not risky streetball. Knowing credibility upfront frees you to debate player legacies rather than wonder if the profile is fake, and encourages better behaviour across the entire league of users.
Like a disciplined coach, IRIS enforces a strict daily match cap. Instead of scrolling through benchwarmers, you review a focused lineup of high-probability prospects, each already statistically likely to like you back. This pacing builds anticipation and leaves mental bandwidth for witty banter about Durantâs wingspan instead of burning energy on endless swipes. Users report feeling more present during dates and more excited to open the app each morningâproof that less volume drives higher percentages.
Fairness isnât just for refs. IRIS runs an annual bias audit that checks matching outcomes across gender, ethnicity and orientation, adjusting model weights where disparities appear. For you, that means a dating pool as inclusive as an All-Star roster, without sacrificing mutual attraction accuracy. The system learns preferences while remaining blind to protected traits, keeping focus on genuine chemistry. You get diverse, relevant matches, and the community enjoys a level playing field no matter whoâs shooting their shot.
Most apps equate success with hours on screen; IRIS chases real points on the board. By combining training-swipe precision, Trust Ratings and daily caps, it shrinks your feed to players already intrigued. Your attention shifts from mindless scrolling to planning courtside meetups, boosting personal bandwidth and date quality. Efficiency scores the triple-double, freeing evenings for actual connection, not stat-padding swipes. Thatâs a win across the board.
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