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PepLedger – Peptide Tracker
PepLedger – Peptide Tracker — Never miss a dose. See what’s still active.
About PepLedger – Peptide Tracker
PepLedger – Peptide Tracker is a private iPhone app for logging peptide and GLP-1 doses and seeing a half-life estimate of what may still be active. It is designed for people who want a clear record of their own dosing without relying on spreadsheets. Add a dose log and review estimates based on logged doses and published half-lives. PepLedger supports iOS 18+ only and does not offer an Android app. It is not a medical device and does not provide medical advice; individual clearance varies. The app includes a free log, with a 7-day trial followed by Pro at $6.99/month or $49.99/year. PepLedger does not sell peptides. Visit the website or App Store listing to learn more.
- Who it is for
- Individuals who track peptide, GLP-1, or hormone doses and want to avoid manual spreadsheets.
- Problem it solves
- It solves the problem of forgetting doses or losing track of what was taken and when, while making clear that it is a private tracker and not a medical device.
- The solution
- PepLedger lets users privately log doses on iPhone and view estimated active levels over time, so their personal records are easier to review than scattered notes or spreadsheets.
- What makes it unique
- It is focused on private iPhone dose logging for peptide, GLP-1, and hormone tracking, with a simple active-level estimate view and no claim to be a medical device.
Starting price: $6.99/month or $49.99/year after a 7-day trial
Features
Private dose log
Record peptide and GLP-1 doses in a private iPhone log.
Active estimates
See a half-life estimate of what may still be active, based on logged doses and published half-lives.
iPhone focused
Built for iPhone users; iOS 18+ is required and there is no Android version.
Details
- Platforms
- iOS
- Pricing
- Freemium
- Subscription
- Free trial
- Built for
Individuals who track peptide, GLP-1, or hormone doses and want to avoid manual spreadsheets.
- Building since
2026
PepLedger – Peptide Tracker screenshot on IndieTools
1 / 4Website performance
Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.
80GoodMobile Lighthouse
Measured · UTC
- Load time
- 1.17 s
- FCP
- 905 ms
- LCP
- 5.19 s
- CLS
- 0.000
- TTFB
- 1 ms
- TBT
- 111 ms
- Speed index
- 2.47 s
These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.
- Overall rank · 2026-W44
- #367
- Up 79 places
- Best overall rank
- #42
- 0 top 10 finishes
- Best category rank
- #1
- 1 category win
- Latest change
- -19 score
- Best score 99 / 100
Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.
Website performance history
Inspect every successful mobile Lighthouse lab measurement by metric and date range.
Range
Metric
Latest score
80 / 100
Higher is better
35 measurements
Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.
Oct 8, 2026Nov 7, 2026Weekly rank history
Track the product's finalized overall position on the IndieTools Speed leaderboard.
Range
MetricOverall rank
Latest rank
#367
Closer to #1 is better
2 weeks
Use the left and right arrow keys to inspect weeks. Use Home or End to jump to the first or last week. Press Escape to dismiss the chart tooltip.
Oct 19, 2026Oct 26, 2026Domain Rating
Domain Rating by Ahrefs- DR3 (primary model)
- 12
No change since 5 Nov
- DR4
- Not measured yet
Measured · pepledgerapp.com
What do DR4, DR3 and the model difference mean?
- DR4:
- Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
- DR3:
- The previous model, shown in the Ahrefs app until 1 December 2026.
- Model difference:
- DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.
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