Apps Like Biohacking Tracker: Biohackr for iPhone and iPad
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.

Hempvana
TELEBRANDS DIRECT RESPONSE CORPORATION
Track progress, set goals, improve habits
Track pain levels and mood with daily logs. Set reminders for supplements and wellness routines. View progress charts and connect with a community for support. Share achievements and receive motivational prompts.



Fiterate: Workout Journal
Fiterate, LLC
Log sets, reps, and weight
Log sets, reps, and weights for strength training sessions. Track progress over time with charts and statistics. Customize plans for powerlifting, bodybuilding, or strength blocks. Export data and share training logs.








Veto: Smart Scanner
NextGen Medias LLC
Scan supplements, get health scores
Scan supplement barcodes or ingredient labels to receive a health impact score. View basic product analysis for free. Upgrade to access detailed ingredient breakdowns, historical comparisons, and personalized recommendations.



AI Diet Coach Tracker: Nutrevo
Paul Thomae
Track calories, plan meals, and reach goals
Track calories and log food with photo, barcode, or label scanning. Plan meals using AI-powered coaching and personalized nutrition advice. Set health goals and receive tailored guidance for weight loss, muscle building, or smarter eating.

ShotTrackr: GLP-1 & Peptide
Blaine Cobban
Track peptides, calculate doses, manage inventory
Track peptide dosages with precise calculation tools and reconstitution guidelines. Log injections with timestamps and notes. Manage inventory by adding medications, quantities, and expiration dates. Set reminders for doses and inventory checks.

Prenatal Rater
Neurological Health Foundation
Rate supplements by nutrition
Helps users compare supplements based on nutritional content. Quick rating system provides 1-100% score for vitamin and mineral content. Offers detailed info on nutrients needed during pregnancy, their benefits, and recommended amounts.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.