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Log what you took, how much, and when. Effect Curve draws how it will actually feel through the day - when it kicks in, when it's strongest, when it wears off, and the crash after. Built from published data, computed in your browser. No accounts, no tracking.
Hey Product Hunt!
I built Effect Curve because the numbers on a medication label never answer the question I actually have on a normal day: when will this kick in, when is it strongest, and when will it stop working - especially with a coffee on top and a second dose at lunch.
How it works:
- Search a substance (meds, caffeine, common supplements), enter dose and time
- It draws a felt-effect curve for the day: kicks in, strongest, wears off, how long it lasts - and for stimulants, the crash
- Stack multiple substances and doses on one timeline, switch routes (IR vs XR), tell it "with food" or "daily user" and the shape updates
What makes it different:
- The timing is fitted to published clinical figures (onset and duration of action), not vibes
- It's honest about its limits. For drugs where a single dose has nothing to feel the same day (SSRIs, statins, antibiotics), it refuses to draw a curve and tells you why
- Privacy by architecture: no accounts, no analytics, nothing you type ever leaves the page. The only network request is the substance search
The caveat the app repeats on every curve: these are illustrative estimates from population data. People vary enormously. It is not a dosing tool and not medical advice - it's a way to see the shape of your day.
It's free, open source (github.com/Open-Fitness/effect-curve), and runs in any browser with no install.
I'd love to hear: which substance did you try first, and did the curve match your experience?
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About Effect Curve on Product Hunt
“Felt medication effect over time”
Effect Curve was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #53 on the daily leaderboard. Log what you took, how much, and when. Effect Curve draws how it will actually feel through the day - when it kicks in, when it's strongest, when it wears off, and the crash after. Built from published data, computed in your browser. No accounts, no tracking.
Effect Curve was featured in Health & Fitness (83.1k followers), Education (79k followers), GitHub (41.4k followers) and Medical (3.5k followers) on Product Hunt. Together, these topics include over 91.8k products, making this a competitive space to launch in.
Who hunted Effect Curve?
Effect Curve was hunted by Giorgi Tsertsvadze. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Giorgi Tsertsvadze