The peptide space has grown rapidly, and so has the need for tools to manage protocols. Whether someone is running BPC-157 for recovery, semaglutide for weight management, or a multi-compound stack, keeping track of doses, timing, and progress across several compounds is not trivial.

A handful of apps now exist to help. But they differ enormously in what they actually do under the hood. Some are glorified reminder apps. Others attempt real pharmacokinetic modeling. This comparison covers the four most commonly discussed options in 2026: Milligram, Shotsy, PeptIQ, and Regimen.

The Feature Matrix

Before diving into each app, here is a side-by-side comparison of core features. This is based on publicly available information and hands-on testing as of early 2026.

Feature Milligram Shotsy PeptIQ Regimen
Compound Library (100+) ~30 ~50
Real-Time PK Curves
Blood Level Estimation Basic
Saturation / Steady State
Dose Logging
Dose Reminders
Multi-Compound Stacks Limited Limited
Reconstitution Calculator
Subjective Check-Ins Basic
Adherence Analytics Basic
Interaction Checking
Protocol Sharing
Custom Compounds
Platform iOS iOS iOS / Android iOS

Milligram

Milligram is the only app in this category that performs real-time pharmacokinetic modeling. Rather than just logging when you took a dose, it uses published half-life data, bioavailability percentages, and absorption rate constants to generate continuous blood concentration curves for every compound in your protocol.

The practical result: you can open the app at any moment and see an estimated blood level for each compound, expressed as a percentage of steady-state peak. The dashboard shows saturation percentages, peak-to-trough ratios, and time-to-steady-state projections. If you are running a multi-compound stack, you see all curves overlaid on a single chart with individual compound toggles.

Beyond pharmacokinetics, Milligram includes a reconstitution calculator, subjective daily check-ins (energy, mood, sleep, recovery, and more), adherence analytics with a weighted protocol score, compound interaction checking, and protocol sharing via URL. The compound library covers 100+ peptides, hormones, SARMs, and related compounds with pre-loaded PK parameters.

The main limitation is platform availability. Milligram is iOS only as of early 2026. Pricing is $9.99/month or $39.99/year after a 3-day free trial.

Best for

Users running multi-compound stacks who want to understand what is happening at the blood level, not just log that they took a dose. Particularly strong for protocols involving compounds with long half-lives (testosterone esters, semaglutide, retatrutide) where steady-state dynamics meaningfully affect the experience.

Shotsy

Shotsy focuses on the injection experience itself. It includes injection site rotation tracking, dose reminders, and a reconstitution calculator. The interface is clean and straightforward, designed for users who primarily need help remembering when and where to inject.

The compound library is smaller (approximately 30 compounds), and there is no pharmacokinetic modeling. You will not see blood concentration curves or saturation percentages. Shotsy treats each dose as a discrete event rather than modeling the continuous concentration profile between doses.

For someone on a single compound with a simple dosing schedule, Shotsy handles the basics well. It starts to show limitations with complex stacks, since it was not designed for multi-compound protocol management.

Best for

Users on a single injectable compound who primarily need injection site tracking and reminders. GLP-1 users with straightforward weekly dosing schedules.

PeptIQ

PeptIQ positions itself as an educational platform with tracking features. It offers compound information cards, dose logging, and basic reminders. The compound library is moderate in size (around 50 entries), and the app includes some general guidance on common protocols.

The tracking is functional but surface-level. PeptIQ logs doses and can display basic timelines, but it does not model blood concentrations or calculate saturation. The educational content varies in depth, and some compound entries have limited pharmacokinetic data.

PeptIQ is available on both iOS and Android, which is a significant advantage for Android users who have very few options in this space. The cross-platform availability makes it the default choice for non-iOS users.

Best for

Android users, or those who value educational content alongside basic tracking. Users who are earlier in their research phase and want compound information paired with simple dose logging.

Regimen

Regimen takes a minimal, general-purpose approach. It is essentially a medication reminder app that can be adapted for peptide tracking. You create custom entries, set schedules, and log completions. There is no peptide-specific compound library, no pharmacokinetic data, and no reconstitution tools.

The advantage of Regimen is its simplicity. If all you need is a reminder to take something at a specific time and a log confirming you did, it handles that without complexity. The disadvantage is that it has no awareness of what you are actually taking — a peptide protocol and a vitamin schedule look identical in the interface.

Best for

Users who want the absolute simplest possible tracking with no learning curve, and who do not need compound-specific features, PK modeling, or analytics.

The Core Difference: Logging vs. Modeling

The fundamental split in this category is between apps that log doses and apps that model concentrations.

Dose logging records that you took 250mcg of BPC-157 at 8:00 AM. That is useful for adherence tracking and memory. But it tells you nothing about what is happening between doses. It cannot show you that your BPC-157 levels dropped to near zero by noon (half-life ~30 minutes) or that your testosterone enanthate from three days ago is still contributing meaningfully to your current blood levels (half-life ~4.5 days).

Pharmacokinetic modeling uses the dose log as an input, then applies published absorption, distribution, and elimination parameters to generate a continuous concentration curve. This is the same math that pharmaceutical companies use in drug development — applied to the compounds people are actually running.

For short-acting compounds dosed daily, the practical difference is modest. You dose, it absorbs, it clears, you dose again. The picture is straightforward. But for long-acting compounds where doses overlap and accumulate — testosterone esters, semaglutide, retatrutide — the difference between logging and modeling is the difference between knowing that you took a dose and knowing what that dose is actually doing to your blood levels over the next seven days.

Why This Matters

The concept of steady state is central to understanding any protocol. A compound with a 7-day half-life takes approximately 35 days of consistent dosing to reach stable blood levels. During that ramp-up period, each dose contributes to a gradually building baseline. Without modeling, there is no way to visualize where you are in that process.

Other Considerations

Privacy

Peptide tracking is inherently sensitive data. All four apps store data locally on-device. Milligram uses SwiftData with no cloud sync (as of early 2026), meaning protocol data never leaves the device. Users should review each app's privacy policy before entering health-related data.

Pricing

All four apps use subscription models, which is standard for health tracking apps that require ongoing development and compound database maintenance. Free tiers typically offer limited functionality. Trial periods range from 3 to 7 days.

Reconstitution

If you are reconstituting peptides from lyophilized powder, having a built-in calculator that converts vial size + bacteriostatic water volume + desired dose into units to draw is practical. Milligram and Shotsy both offer this. Milligram also provides a free web-based calculator that works without downloading the app.

The Bottom Line

The right choice depends on what you need the app to actually do.

The peptide tracking category is still young. Many users report starting with a general reminder app, then graduating to a purpose-built tool as their protocol grows in complexity. The question is not really "which app is best" in the abstract — it is which app matches the complexity of what you are actually doing.