
FuelTheGains
Meal planner built for your bulk
What it does
Most nutrition apps are calorie counters. They track the calories and macros you're eating and tell you if you're missing your objectives. They don't tell you what to put on your plate. FuelTheGains solves this problem. Based on your physiological data (age, height, sex...) it creates a diet plan tailored to you in less than 5 minutes. It tracks your weight progress to optimize your bulk.
Does the same job
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- LBLean bulk, cut, body recomp. Calculate maintenance caloriesJun 2026 · macrocodex.app · ▲28
A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight. By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle. It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch/whoop etc...) Traditionally, people often use static TDEE calculators which often over or underestimate for some by 100s calories. Chatgpt and TDEE calculators like…
- TYTrack your calories easily by saying what you ate2024 · calorio.xyz · ▲17
Hi guys, I created this app to solve one of my own problems: I found calorie tracking to be a real pain. Now, instead of scanning barcodes, scrolling through lists, or taking photos of food, I just speak into my phone (or computer), tell Calorio what I’ve eaten, and it handles the rest. It uses OpenAI’s APIs to process audio and map foods to calories. It’s free to use without an account, but if you want it to tally daily calories and remember everything you’ve eaten, you’ll need to sign up with your Google account and subscribe (you get 7 days for free). I would really appreciate any…
Protein Planner — Macro TrackerJun 2026 · apps.apple.com · ▲4Hate logging meals? Let an app plan your protein.
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- NW
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
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