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Beta live video app where everyone watches one person at a time

Beta live video app where everyone watches one person at a time

by Tutati_app·Jun 8, 2026·2 points·0 comments

AI Analysis

MidShip It

Yet another live streaming app with a queue mechanic in a saturated market.

Strengths
  • 60-second rotating queue creates low-pressure broadcasting format
  • Cross-platform viewer experience between iOS app and web
  • Free beta with explicit request for honest feedback
Weaknesses
  • No technical differentiation from Twitch, TikTok Live, or similar platforms
  • Landing page is just Apple TestFlight documentation, no real product site
Category
Target Audience

Content creators, social app users

Similar To

Twitch · TikTok Live · Clubhouse

Post Description

Hi HN! We’re building Tutati, an app with a funky name that replaces the "broadcast-to-your-followers" model with one massive, shared live center stage. The concept is simple: the live streaming window opens, you jump in the queue, and when your turn hits, you go live to everyone for 60 seconds. Then the next person in the queue goes live and so on. It is 100% free. Our only ask is your brutally honest feedback, and that would mean a lot to us. Tell us what works, what doesn't, and what completely breaks.

Download the iOS app from here: https://testflight.apple.com/join/qJUHbNhd

No iPhone? Go-live or watch right in your browser: https://spotlyt-live.web.app/

The Next Live Window: Today, Monday, June 8 | 8:30–9:30 PM CT Add to Calendar: https://tutati.app/go-live

The Queue: Opens 30 min before at 8:00 PM CT. Join early to grab a spot on stage, or just show up at 8:30 to watch! Website: https://tutati.app/

Promo Video: https://youtube.com/shorts/jiHmbtRQsxM

We will be hanging out in the comments, so feel free to ask us anything about the build, the tech, the vision, etc. You can also drop your feedback at [email protected].

Technical Details:

This kind of architecture brings a few unique issues and we would like ideas and feedback on how to address them:

-Handling the live queue with growth - What do we do if someone drops (or their connection drops) mid-queue? How long do we wait? Do we jump to the next person? What if someone is #2 in the queue and leaves the queue? Do we bump up the next person who may not be ready?

-Since this is live streaming, any ideas on how to moderate the content with automation? Delay the live streaming for a few seconds to have time to moderate? We picked a direction and built it but your feedback here would be invaluable.

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