getbased v1.6.0 — Photobiology release
The dashboard now opens with a Light Today card: a one-glance read on your day's exposure.
UVI, air quality, six biological light channels, and one-tap entry to start a Sun or PBM (photobiomodulation) session.
Open Light & Sun drops you into the dedicated photobiology view.
Conditions first: UV Index, sun position, ozone column, air quality.
Below it, today's sun arc — sunrise, first UV-A, midday UV-B peak, UV-A fall-off, sunset.
All data comes from a self-hosted Copernicus Atmosphere Monitoring Service (CAMS) relay you can run yourself: GitHub
GitHub - elkimek/getbased-uvdata: CAMS-fed UV/atmosphere relay for getbased.health Light & Sun module. Bird-Riordan reconstruction + per-coord lookups + Open-Meteo merge.
CAMS-fed UV/atmosphere relay for getbased.health Light & Sun module. Bird-Riordan reconstruction + per-coord lookups + Open-Meteo merge. - elkimek/...
Light Setup asks a handful of questions that anchor the math: skin type, home lighting, eyewear outside, baseline light burden.
It's what lets the model compute your vitamin D synthesis, eye + skin saturation, minimum erythemal dose, burn rate, and the rest of the sun-exposure picture honestly — not generically.
From here you can also start a sun or PBM session.
Your light, by what it does — six channels, computed from every sun and PBM session:
- Vitamin D
- Body clock
- Cellular repair
- Cardiovascular
- Mood & hormones
- Outdoor eye light
Behind them sit the mechanisms light actually drives in your biology: circadian entrainment, melatonin synthesis, nitric oxide release, the POMC system, and dopamine — pathways that are exclusively (or near-exclusively) controlled by light.
Tap any channel for a detail view: how saturated it's been over the last 7 days, which days banked it, what would tip it up next.
Beneath the chart, an AI overview ties it back to what you actually did — and what to do about it.
Before a sun or PBM session you tell it which body parts are uncovered. That drives correct channel math (e.g. how much vitamin D you actually synthesized — face-only is not torso).
It also flows into AI context, so later it knows whether you're skipping the parts that matter — thyroid, breast, genitals.
Basically: show us on the doll where the sun touched you.
When a session ends you get a per-channel breakdown — how well you lit up each one, plus an analysis.
Vitamin D math is intentionally conservative and weights your DNA (more on that soon), so you won't see "10 minutes of midday sun = 10,000 IU" fantasy numbers.
The maths behind it: Sun spectrum model — contributor reference | getbased
Blood work dashboard for tracking biomarker trends over time
PBM devices: pick from curated brand presets (Mitochondriak, Chroma, EMR-Tek) or drop a product link and the AI fetches the spec sheet for you.
From there a PBM session works the same as a sun session — body parts, timer, channel readout.
Indoor light shapes you more than most people realize, and unless you measure, you genuinely don't know what you live under.
Rooms you spend time in lets you build out each room — light source, hours per day, displays (including phones and tablets you carry between rooms). Eight on-device tools help you measure flicker, CCT, brightness, and spectrum from your phone.
The AI then reads everything together and tells you how bad it is — with concrete fixes.
Snapshot a room as an audit. Change something — swap the bulb, fix display settings, kill a PWM driver — and snapshot it again.
Side-by-side, before/after, with severity badges per room (lux, flicker, CCT, melanopic).
Light Tools. Your phone's sensor has real limits, but internal testing says it's good enough for "test, don't guess."
- **Quick checks (10–30s):** What is this light? · Lux Meter · Color Temp
- **Full measurements (30s–2min):** Flicker Detector · Sleep Darkness · Window check
- **Walkthroughs:** Home audit · Golden hour log
Most people have zero idea what light they live under or what it's doing to them. Now you can find out in an afternoon.
24K lines of code, 25 modules, 250 commits, 9 days of work — first version is out.
Expect bugs, rough edges, and the occasional weird UI moment.
If light is your cup of tea, take it for a spin and file what breaks on GitHub.
getbased started as a "nice charts for my blood work" and evolved into Personal Health Intelligence.
When you let your personal agent tap into your data, you'll see a magic happen. Health is just an engineering problem, so let's solve it piece by piece.
You get a detailed overview of everything you are taking, including the ingredients.
When there's enough data, you get Impact Analysis - so you know how it's working for you (or not).
Everything flows into the context so getbased chat or your agent knows about it.
Routsrt is a decentralized AI protocol.
Fully self-custodial 
(deposit temporarily limited to 25K sats — don't be reckless)
Stop guessing, start understanding at: