PeRx Peptides
Physician-prescribed peptide therapy, shipped ready to use
Health & Fitness·Productivity·Sustainability
About
PeRx is a telehealth platform for physician-prescribed peptide therapy. You complete a short clinical health assessment, a licensed US provider reviews your case, and if it's a fit, prescribes a protocol. Pharmaceutical-grade, ready-to-use peptides then ship directly to your door, with no in-person clinic visit required.
What makes it different: every protocol is prescribed and reviewed by a licensed provider, not sold over the counter or shipped from a research-chemical vendor. Peptides arrive ready to use, so there's no measuring, mixing, or guesswork. The whole experience is online, pricing is transparent, and PeRx maintains a large library of evidence-based peptide guides so you can learn before you start.
PeRx is built for adults pursuing wellness and performance goals like recovery, energy, sleep, longevity, and healthy aging who want licensed clinical oversight instead of gray-market products. Learn more at
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The first 10 licenses were super super cheap, and then every 10 after that went up. So there was a little bit of FOMO for those early adopters. Pretty quickly it sold out.
Tier the pre-sale price ladder — first 10 cheapest, each batch goes up
A 50-license pre-sale used a stepped price ladder where the first 10 seats were cheapest and each subsequent batch of 10 cost more. The escalating curve manufactured scarcity-driven FOMO and sold out in 2-3 days, generating $20K before any code shipped.
The real revenue the one that passed by default on the SDK is not the one that I want to be sending because the free trial conversion is going to come too late — it's going to overvalue the yearly over the monthly.
Engineer predicted LTV into your revenue signal — defaults lie to the platform
Ad platforms receive the literal transaction amount by default: a yearly subscription fires a large number on day one, a monthly fires a small one, and a weekly might appear tiny even if it yields high LTV through renewals. Thomas Petit replaces those real-time figures with a predicted value at a fixed horizon (he favours month 13) so the platform's ML targets the users who are actually most profitable — not just the ones who generate the biggest single transaction.
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