Bloodwork, plotted against your protocol

Upload any lab report as a PDF. The app reads 36 biomarkers from it, including IGF-1, ApoB, HbA1c, hs-CRP and fasting insulin, and plots each one against the weeks you were on each compound. Two draws six weeks apart stop being two pieces of paper and become a line with your protocol drawn underneath it.

How it works, step by step

1. Get the PDF. Most labs and patient portals let you download results as a PDF.
2. Upload it. The app reads the biomarkers it supports from the report automatically.
3. Each marker is stored with the date of the draw. A second report adds a second point to every line.
4. Read the chart. Each marker is drawn over time, with the weeks you were on each compound from the dose log shown underneath.

Which markers it reads

The parser reads 36 biomarkers from a standard lab PDF. They include:

The how to read a lab report guide explains what the common markers mean, and the GLP-1 blood work and peptide blood testing pages cover which ones are usually checked and why.

Why plot labs against dose dates

A single lab value tells you where you are. It does not tell you why, or whether it is moving. Three things make the timeline matter.

Different markers reflect different time windows. HbA1c reflects average blood glucose over roughly the previous three months, according to the NIDDK. A protocol started four weeks before a draw has only partly shown up in it. Knowing exactly when each compound started, from the log rather than memory, tells you how much of the window it covers.

Markers vary on their own. Every biomarker moves from day to day within the same healthy person, which laboratory scientists call biological variation, and labs add their own analytical variation on top. The European Federation of Clinical Chemistry and Laboratory Medicine keeps a database of these within-person variation figures for hundreds of tests. The practical consequence is that a small change between two draws may be noise. A trend across several draws, read against what changed in the protocol, is far more informative than any single pair of numbers.

More than one thing usually changed. People start a compound, change their diet, add a supplement and train harder in the same month. A lab report on its own cannot separate those. A timeline with doses, food, supplements and training on it does not prove cause either, but it shows you what else was going on, which is where an honest interpretation starts.

Making two draws comparable

Trends are only as clean as the draws behind them. Using the same lab where you can, drawing at a similar time of day, and keeping the same fasting state for markers such as glucose, insulin and triglycerides all reduce the noise between results. Recording what changed between draws, in the dose log and the rest of the app, does the rest.

What it is not

The app plots and stores your results. It does not diagnose, and a marker outside the lab's reference range is a reason to talk to the clinician who ordered the test. The app does not order tests or interpret them for you as a doctor would. It makes the conversation with that doctor faster, because the dates are already on the page.

Who it is for

• People on a GLP-1 receptor agonist tracking HbA1c, lipids and liver enzymes as weight changes.
• People on compounds studied for effects on IGF-1, tracking it before and during a protocol.
• Anyone with a folder of lab PDFs who has never seen them as one line.

How it connects to the rest of the app

The chart is only as good as the dose log underneath it, and the protocol planner defines the weeks on each compound. Wearable data and dated body scans share the same axis. Remi answers questions from your own labs alongside your doses, and never produces a number it did not read from your log. Your lab results can be exported or deleted with the rest of your data.

If you have an old lab PDF, upload it now as a baseline, then log the protocol from today. The next draw will have something to be compared with. The app is on the download page.