ShouldI. Scan a friend. Get the read. Start the conversation.

One photo in, one report out.

Line up the shot, tap scan, and the report renders like something out of a retro sci-fi console:

• A match score (0–99, anything can happen) with a verdict headline
• Personality bars: the traits the subject apparently radiates
• Green flags and red flags, always more kind than cutting
• Insights and a conversation starter to actually use
• A final "Should I?" choice: you file the scan under Should or Nah, and over time the app plays back what your picks say about your taste

Reads are voiced. Choose the tone on a three-stop cheekiness dial (Sweet, Playful, Savage) and the accent from five voices: Standard, British, Shakespearean, Cockney, or Australian.

Jokingly educational: a comedy about connecting.

The report is a prop; the nudge is real. Every scan ends with an opener you can actually walk over and use, so the joke finishes with two people talking. Scan a group and the reports become the icebreaker: the room compares flags, argues the match scores, and gets louder.

The lesson lands on you, never on the person in the photo. Each "Should I?" you file quietly builds a playful picture of your own taste: what you fall for, what you swerve, and how little of it you would have guessed. Think of it as a wink of social homework. Notice what draws you to people, then go say hi.

A roast between friends, with hard lines.

The humor aims at what the subject chooses and does: the outfit, the haircut-as-a-decision, the pose, the staging, the imagined habits. It never goes after what a person is: no jokes about body shape, health, identity, or anyone's worth, at any cheekiness setting.

The bar we build to: the person in the photo should be able to read their own report and laugh. ShouldI is entertainment only, a novelty rather than an assessment of anyone, and the app says so plainly on every report.

Built privacy-first, not privacy-patched.

• Nothing leaves the phone without consent. Before the first cloud read, the app asks, and shows you exactly what would be sent.
• What is sent is de-identified first. The photo is downscaled, softened, and stripped of metadata on your device; the original never leaves it.
• Zero retention. The derivative is processed transiently to produce the report and is not stored off-device.
• Delete means delete. Removing a scan removes the stored photo, not just the record.
• No ads, no trackers. No advertising SDKs, no analytics resale; the app is supported by optional read packs instead.

Free to play with. Packs if you want more.

ShouldI launches with free reads: a generous first day, then a few more every day. Optional read packs (from $0.99) keep the scanner running for the group-photo nights. Android arrives first on Google Play, with the iOS build in development.