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H1 2026 · Data Report

What Thousands of Real Peptide Logs Reveal

PeptIQ sits on one of the largest real-world peptide tracking datasets in the wild — tens of thousands of injection logs from thousands of accounts. Here is what H1 2026 looked like when we aggregated it all.

Published June 24, 2026· 12 min read · Aggregated & anonymized

PeptIQ H1 2026 Report data visualization
Executive Summary

Retatrutide is the gravitational center of active logging. Stacks are louder on social than in syringes — most shots are single-peptide. The famous BPC-157 + TB-500 pairing lives up to its nickname. And the single strongest onboarding signal we see is whether someone intends to quick-log from day one.

55%
Retatrutide share

Among active loggers in H1 2026

93%
Wolverine overlap

TB-500 users also on BPC-157

74%
Stack churn

Long-term users change stack month-to-month

Quick-log lift

Onboarding intent → actual logging

Chapter 1

The Retatrutide Era

Among users who actively log injections, retatrutide accounts for roughly 55% of peptide activity in H1 2026. BPC-157, GHK-Cu, and TB-500 fill out the long tail — recovery and aesthetics peptides orbit the metabolic giant.

Share of active logging by peptide

Among users with at least one logged injection in H1 2026

55%

Reta isn't trending — it's the default

If you only read forums, you'd think everyone runs bespoke 6-compound stacks. In logged reality, one triple-agonist dominates the dataset.

Peptide stack visualization
Chapter 2

Stack Culture vs. Logged Reality

Online peptide culture loves stacks. Logged data tells a more nuanced story: co-use is real, but most individual injections are still one compound at a time.

Single vs. multi-peptide injections

Share of all logged doses

The Wolverine Stack

BPC-157 + TB-500 is the most common co-injection pairing in the dataset — and the overlap is extreme.

GHK-Cu
Also on retatrutide
60%
TB-500
93%
MOTS-c
Added within ~10 days of starting reta
28%
Tesamorelin
Added within ~10 days of starting reta
20%

93%of TB-500 loggers also track BPC-157 — the “Wolverine stack” isn't just marketing.

Community tracking data visualization
Chapter 3

How Many Peptides Do People Actually Run?

The average PeptIQ user tracks about 3.1 peptides over their lifetime — but the distribution is bimodal. Nearly half never venture past one compound; more than one in five track five or more.

Peptides tracked (lifetime)

Share of accounts by portfolio size

Peptide diversity by segment

Average distinct peptides tracked — indexed for comparison

Men in their 50s track nearly double the peptide diversity of women in their 40s — not because women run fewer protocols, but because older male loggers accumulate experimental compounds over longer horizons.

The First 10 Days After Reta

Retatrutide starters don't sit still. Within roughly ten days, a meaningful slice adds a second compound — MOTS-c, GHK-Cu, and tesamorelin lead the expansion pack.

What reta starters add first

Within ~10 days of first retatrutide log

74%

Stacks aren't static

Three out of four long-term users change their active stack month-to-month. Peptide protocols evolve — tracking captures that churn better than any forum post.

28%

MOTS-c is the first expansion

More than a quarter of reta starters add MOTS-c within ten days — mitochondrial support riding shotgun on metabolic protocols.

Goals vs. Compounds

Weight loss and body composition dominate stated goals. But the most surprising finding: users who cite skin as a top goal log retatrutide more often than GHK-Cu. Intent and inventory diverge.

Top stated user goals

Share of accounts with goal selected

60%

GHK-Cu is rarely solo

Most GHK-Cu loggers are also running retatrutide — skin peptides ride alongside metabolic protocols.

83%

One peptide per shot

Despite stack culture online, the vast majority of logged injections are single-compound doses.

Skin → Reta

Surprise of the half

Users who cite skin as a top goal log retatrutide more often than GHK-Cu. Goals and compounds don't always match.

The 5× Onboarding Signal

The strongest predictor of whether someone becomes an active logger isn't age, goal, or peptide choice — it's whether they express intent to quick-log during onboarding. Users who opt into fast logging are roughly 5× more likely to actually record an injection.

Friction kills compliance. The apps that win aren't the ones with the longest feature lists — they're the ones that make the first log effortless.

Why This Dataset Matters

Clinical trials tell you what happened in a controlled room. PeptIQ tells you what people actually run, log, stack, and change — across thousands of accounts and tens of thousands of injection events. We believe this is the most comprehensive real-world peptide tracking dataset available to consumers today, and we publish these reports so the community can separate lore from logged behavior.

Disclaimer: All figures are aggregated and anonymized from PeptIQ user activity. This report is for educational purposes only and is not medical advice. Peptide use involves risk; consult a qualified healthcare provider before starting or changing any protocol.
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