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Adaptive TDEE Calculator

Research-grounded energy expenditure tracking

Health & Fitness
Artificial Intelligence
GitHub
Nutrition
Visit WebsiteSee on Product HuntGithub

Hunted byCarter JohnsonCarter Johnson

An adaptive TDEE calculator that replaces vague 4-option activity checkboxes with an integrated AI parsing layer. The AI evaluates granular user data to determine precise activity inputs, which are then processed by exact mathematical formulas rather than static population averages. The calculation logic dynamically corrects for lean body mass, NEAT variance, metabolic adaptation, and the acute energetic cost of regular plasma donation, mapping all outputs directly to peer-reviewed research.

Top comment

I built this adaptive TDEE calculator to solve a specific frustration with mainstream fitness apps: their reliance on static, one-size-fits-all equations and vague activity multipliers. Traditional models force you to pick between four arbitrary checkboxes (like "Lightly Active" or "Moderately Active") which completely ignores how your body actually expends energy. This calculator replaces those generic checkboxes entirely by integrating an AI engine as the frontend input processor. Instead of forcing your lifestyle into a rigid category, the AI analyzes your granular descriptions of daily living, training volume, and lifestyle factors to map out an accurate activity profile. Once the AI defines those precise inputs, they are fed into exact, deterministic mathematical formulas under the hood. The core math shifts the priority to lean body mass rather than just total scale weight, offering a more accurate foundational baseline. From there, the formulas layer on the parsed activity tracking and model dynamic changes like Non-Exercise Activity Thermogenesis (NEAT) and metabolic adaptation over time. It even accounts for less common but highly impactful biological variables, such as the direct caloric and metabolic cost of regular plasma donation. Every single calculation metric, modifier, and formula used under the hood is mapped directly to published, peer-reviewed nutritional science and metabolic research, all of which are cited transparently directly in the web application's footer. The backend is built to be as minimal and fast as possible, using a clean Node.js configuration to serve the single-page application without unnecessary script overhead or tracking bloat. I’m launching this today to get direct feedback from the community on the calculation logic, the usability of the UI layout, and any additional metabolic variables or tracking integrations you think would be valuable to add next.

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About Adaptive TDEE Calculator on Product Hunt

Research-grounded energy expenditure tracking

Adaptive TDEE Calculator was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #68 on the daily leaderboard. An adaptive TDEE calculator that replaces vague 4-option activity checkboxes with an integrated AI parsing layer. The AI evaluates granular user data to determine precise activity inputs, which are then processed by exact mathematical formulas rather than static population averages. The calculation logic dynamically corrects for lean body mass, NEAT variance, metabolic adaptation, and the acute energetic cost of regular plasma donation, mapping all outputs directly to peer-reviewed research.

Adaptive TDEE Calculator was featured in Health & Fitness (82.8k followers), Artificial Intelligence (471k followers), GitHub (41.3k followers) and Nutrition (967 followers) on Product Hunt. Together, these topics include over 150.4k products, making this a competitive space to launch in.

Who hunted Adaptive TDEE Calculator?

Adaptive TDEE Calculator was hunted by Carter Johnson. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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