
DeltaBody
Body Composition Tracker
What it does
Stop guessing and start tracking with DeltaBody, your precision body composition companion. Whether you’re losing fat or building muscle, our interactive charts for weight, BMI, and lean mass provide the clarity you need. Sync with Apple Health for seamless data import and let DeltaBody break your big goals into motivating, bite-sized milestones. Stay on track with visual target lines and share your success with stylish graphics. Best of all: total privacy with zero data tracking.
Does the same job
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- TNThe no bullshit approach to tracking your fitness progress2014 · ▲5
Hello HN, I wanted a simple app to track my fitness progress. Every fitness tracker in the AppStore had too many features for my liking so I made fit-stitch (Free, iOS). It allows you to take snapshots and attach a weight and date to each one. When you've made some progress you can create a before and after picture with a few taps. Hope you find it useful. www.fit-stitch.com
- IBI Built a Lightweight Nutrition Tracker for the iPhone2024 · apps.apple.com · ▲8
Hey HN, I was overweight in college and started my weight loss journey using an app called MyFitnessPal. Tracking calories not only helped me lose weight but also taught me a lot about nutrition and helped establish healthy eating habits that continue to benefit me. However, I’ve always been frustrated by the existing nutrition tracking apps. Many are slow and bloated, lack accurate nutrition data, or don’t respect user privacy. I wanted to build something that I’d love using myself. A few things that make FitBee stand out: * Fast, lightweight and to the point - The app is just about…
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Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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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…
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