Repsify: Ranked Workout Tracker
Train, Level Up & Compete
Repsify: Ranked Workout Tracker launched on May 13, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Repsify is an iPhone fitness app built for people who work from home and want quick, consistent workouts without manually tracking every set. Using a custom on-device AI model I built myself, Repsify counts pushups, squats, situps, and pullups in real time, then turns progress into streaks, XP, ranks, leaderboards, and unlockable crests. Perfect for turning those short WFH breaks into real fitness progress.
Download Workout Tracker: Repsify by Vladislav Gershun on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Workout Tracker:…
Been using Repsify for my workouts and I’m actually obsessed. Seeing my progress tracked so clearly has kept me way more motivated and consistent. The app is super easy to use, clean, and makes working out feel rewarding instead of overwhelming. Definitely recommend if you need something to keep you accountable and excited to keep improving. Been using Repsify for my workouts and I’m actually obsessed. Seeing my progress tracked so clearly has kept me way more motivated and consistent. The app is super easy to use, clean, and makes working out feel rewarding instead of overwhelming. Definitely recommend if you need something to keep you accountable and excited to keep improving. Developer…from apps.apple.com
Does a similar job
all alternatives →More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com