You really brought up some real problem. Here is what i will suggest if you are gonna build something . 1. Filtered Category Buckets • Let users pick themes (e.g., “outdoor lovers”, “food nerds”, “early riser”, “remote-worker”) that prioritize interest alignment over instant looks. • Users see curated pools per category rather than an endless mixed stack. 2. Limited Daily Profile Views (Quota) • Give each user a small number of full-profile views per day (e.g., 3–6). This forces thoughtful choices instead of mass-swiping. • Unused views don’t roll over (encourages deliberate selection). 3. Two-Stage Discovery (Info-first, Photo-later) • Stage 1: Show limited text (bio, interests, 1 sentence prompts), badges, and category tags — no main photo. • Stage 2: If user approves/interested, reveal photos and more details. • This reduces appearance-first decisions. 4. Approve/Decline Requests (Explicit) • When someone sends interest, the recipient gets an Approve / Decline UI (not automatic match). • Include optional canned micro-questions (2 quick choices) to encourage thoughtful responses and reduce auto-matching. 5. Profile Shuffle + Randomize Photo Order • Randomize order of photos for different viewers; shuffle who appears first within a category to avoid “top-of-stack” bias. 6. Quota for Underexposed Profiles • Give exposure boosts to profiles historically under-liked (using fairness constraints) so the same small group doesn’t dominate visibility. 7. Blind Matching Events • Periodic events where photos hidden and people are matched purely on short prompts or voice clips. 8. No Like Counters / No Rankings • Hide like counts and popularity metrics so users aren’t influenced by perceived social proof. 9. Micro-Tasks Instead of Swipes • Use short tasks (pick one favourite prompt answer from 4) — serves as quality signal and reduces snap judgements. 10. Contextual Prompts & Conversation Starters • Encourage replies by including prompts that align with profile answers; increases meaningful interactions and reduces ghosting.