About Peptide Schedule

The peptide space has a serious information problem. Conflicting dosing advice across forums. Product pages making promises that published research doesn't support. People injecting grey-market peptides with no purity testing, some of which have been found to contain heavy metals, bacterial endotoxins, or the wrong compound entirely.

And an entire layer of quick-money operators white-labeling whatever they can get from Chinese manufacturers, slapping a brand on it, and selling it as "pharmaceutical grade" with no third-party testing to back the claim.

The data problem runs deeper. PubMed has almost nothing on most compounds. BPC-157 has 165,000 monthly Google searches but only 3 published human studies. 38% of popular peptides in our database carry a Grade C safety rating, meaning limited human safety data. The real dosing knowledge lives scattered across Reddit threads from years ago, YouTube comments, and Telegram groups nobody can search.

The founder's own experience trying to research BPC-157 made the gap obvious: there was no single place that combined published research with real community experience, verified the dosing numbers, and was honest about what the science does and doesn't support. That's what Peptide Schedule exists to fix.

Published research from PubMed, FDA, and clinical trials on one side. Structured community data from real users on the other. Every dosing number is cross-referenced against at least two independent sources. Every page labels whether a claim comes from an FDA label, a clinical trial, or community consensus.

The longer-term goal is bigger. If people are already using peptides, give them proper tools to log protocols and track outcomes. Structured, anonymized data from real users could advance the research that formal institutions haven't funded yet.