Real Fighter Life
Build your fighter. Shape your career. Write your legacy.
What it does
Real Fighter Life is an MMA career simulation for iOS where decisions outside the cage matter as much as the fight itself. Train your athlete, choose match strategies, manage energy and finances, secure sponsorships, invest your earnings, and rise from the underground circuit to a world championship.
Download Real Fighter Life by KADIR CAN C0BANDAG on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Real Fighter Life.
Simulation Developer KADIR CAN C0BANDAG Language EN English Size 100.3 MB iPhone, iPad YOUR RING. YOUR STORY. YOUR LEGACY. Start as an ordinary fighter in Real Fighter Life and build your MMA career from the ground up. Train hard, sign contracts, step into the cage — every decision shapes your legacy. CAREER MODE - Develop your striking, wrestling, cardio, chin, and speed - Climb from underground leagues to world championship - Sign sponsorship deals, manage your social life - Use "Rewind" to erase a loss and stay undefeated - Retire whenever you want, earn your place in the Hall of Fame REAL COMPETITION - Battle players from around the world in online PvP matches - Climb the global…from apps.apple.com
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 · 10d 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