now live — movies, books, games & podcasts
Discover without decision fatigue.
No ads. No algorithms pushing someone else's agenda. Just you telling us what you actually like — one swipe at a time.
No ads. No algorithms pushing someone else's agenda. Just you telling us what you actually like — one swipe at a time.
Every swipe tells us exactly what you mean — not an approximation inferred from watch time. This is the difference between a guess and a statement.
Haven't seen it yet but you want to. Adds it to your watch list and boosts your taste profile.
↑ Interested inYou've seen it and loved it. The strongest positive signal in your taste fingerprint.
→ Seen, lovedSeen it, didn't like it. decisio learns your edges — what you actively avoid matters as much as what you love.
← Seen, dislikedHaven't seen it, don't want to. Keeps your queue clean and your recommendations sharp.
↓ Not interestedEvery swipe is explicit, timestamped, and genre-tagged. No passive tracking. No inferred intent. The cleanest audience intelligence in entertainment — available to retailers, publishers, and studios.
decisio insights gives bookstores, game retailers, and publishers real-time demand signals from local audiences — so they stock what people actually want before they go elsewhere.
Small bookstores · 50K signals/mo
Mid-size retailers · 250K signals/mo
Large retailers & publishers · Unlimited
85–90% gross margin target · ~2 month payback period
Nike PM. Took ML recommendation accuracy from 63% to 93%. Building the product he always wanted.
Founder, Stratas Consulting. Brings operational rigor and startup execution to the team.
Santa Clara EMBA. Drives growth strategy and B2B pipeline for decisio insights.
NY Film Academy. Ensures the quality and integrity of decisio's content catalog.
Recent College graduate who build the decisio media social media platforms organically and from scratch!
We're raising a $250K pre-seed round. 12 months of runway to reach 250,000 monthly active users, $0.8M ARR, and Connections Phase 3.