rafflr
Reverse raffle software for live events
What it does
rafflr is the reverse raffle board for the night of the event. You open it in a browser, throw it on a projector, and run auto-pull, buy-backs, and sponsor logos without a download. $77 per event, $97 a year, or $497 lifetime. Built for churches, schools, fire departments, and nonprofits.
Reverse raffle software for live events. Set up in 60 seconds, auto-draw tickets, manage sponsors and buybacks, and present from any device.
The fastest way to create, present, and manage a live reverse raffle. No download or training required—just open your event and start drawing. Everything You Need to Run Reverse Raffles Powerful features wrapped in a simple, intuitive interface. Create and start your raffle in under 60 seconds. No complex configuration needed. Beautiful full-screen presentations that look great on any display or projector. Each number is selected securely on the server and saved immediately as your event progresses. Display sponsor logos and messages during your raffle to recognize your supporters. Works seamlessly on Mac and PC. Run raffles from any computer with a web browser. Display important messages…from rafflr.io
Does the same job
all alternatives →
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com