
LeanBody
Body fat % from four photos. $5, no subscription.
What it does
LeanBody reads your body fat %, lean mass, and FFMI from four photos and scores you against the CDC's NHANES 2017–20 DXA cohort, so you get an honest percentile, not a guess. It's $5 once: no account, no subscription, no database. Your photos are analyzed and then deleted, and results live only in your browser. It isn't a DEXA replacement. It's built for the monthly check-in, a credible number you can track without a $150 appointment or a scale you don't trust.
Does the same job
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Real Body Fat13d ago · realbodyfat.com · ▲1Your body fat, in one photo — analyzed once, never stored
FreeWWW Body Fat CalculatorJul 2026 · freewww.com · ▲8Estimate body fat using three trusted calculation methods
- 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…


More ai this month
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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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, June 2026
the whole month →
Fundraisly▲1,544AI fundraising agent that finds investors and books meetings
AI · Jun 2026 · fundraisly.com
- H6Homebrew 6.0.0▲1,481
Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
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hope you enjoy
Life & fun · Jun 2026 · vorpus.github.io


- IM
Life & fun · Jun 2026 · hackernewstrends.com