Playrivo analyzes your real Steam data — playtime, achievements, review scores — and tells you what to play next from games you already own. Every pick comes with a visible reason: hours, achievements, genre match. Never a generated blurb. Thinking about a purchase? You get a buy / wait / skip call computed from the same data — and "skip" is a first-class answer, because sometimes the right move is not buying another game. Extras: story-based saga tracking, weekly play plans, achievement challenges and price comparison from official Steam key stores. Free, no premium tier. Steam OpenID login, no data sold, GDPR-compliant.
Deterministic recommendation engine — every pick re-checked against your owned games
Honest buy/wait/skip verdicts computed from real Steam data
Visible "why" on every pick: hours, achievements, genre match
Story-based saga tracking across franchises
Weekly play plans from your backlog
Achievement challenges (closest to 100%)
Price comparison from official Steam key stores
Free forever — no premium tier

I built this after dumping my own library stats: 124 games, 47% never launched, median game got 2 hours. The numbers were the product idea — stop buying, start playing. Playrivo computes picks deterministically from real Steam data (playtime, achievements, reviews), shows the "why" behind every pick, and gives buy/wait/skip calls where "skip" is a first-class answer. No AI guesses, no premium tier — feedback and return visits are the only metrics I care about. Roast my backlog stats, and tell me which numbers from YOUR library would sting the most.

I built this after dumping my own library stats: 124 games, 47% never launched, median game got 2 hours. The numbers were the product idea — stop buying, start playing. Playrivo computes picks deterministically from real Steam data (playtime, achievements, reviews), shows the "why" behind every pick, and gives buy/wait/skip calls where "skip" is a first-class answer. No AI guesses, no premium tier — feedback and return visits are the only metrics I care about. Roast my backlog stats, and tell me which numbers from YOUR library would sting the most.
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