This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Stop typing sweaty notes. Trainlog lets you record voice reflections after training. Our AI extracts structured insights, spots patterns, and builds a persistent health history. PWA with daily Web Push reminders.
Hi Product Hunt! 👋 I'm David, the maker of Trainlog.
As someone who trains regularly, I’ve always struggled to track the qualitative data of my workouts. My smartwatch tracks my heart rate, but it doesn't know if I slept poorly, if my left knee hurt, or if I was stressed.
I tried writing in a journal after training, but typing with sweaty hands on a tiny keyboard is terrible UX. Friction is the enemy of consistency.
So, I built Trainlog. It's a progressive web app (PWA) that removes the friction entirely.
🎙️ How it works:
Finish your workout and hit record.
Speak naturally for 15 seconds about how you felt.
Our AI (Whisper + Llama 3) transcribes your voice and extracts structured data (fatigue, intensity, emotions).
It builds a beautiful, searchable calendar history of your progress.
🛠️ The Tech Stack: I wanted this to feel native without maintaining 3 codebases. It's built with React 19, Firebase, Tailwind, and Vite PWA (with Web Push notifications finally working on iOS!).
The code is completely open-source for my fellow devs! You can check the repo on my GitHub.
I'd love to hear your feedback on the UX, the AI analysis, or the architecture. I'll be hanging out here all day to answer questions! 👇
Trainlog was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. Stop typing sweaty notes. Trainlog lets you record voice reflections after training. Our AI extracts structured insights, spots patterns, and builds a persistent health history. PWA with daily Web Push reminders.
On the analytics side, Trainlog competes within Health & Fitness, Sports, Artificial Intelligence and GitHub — topics that collectively have 614k followers on Product Hunt. The dashboard above tracks how Trainlog performed against the three products that launched closest to it on the same day.
Who hunted Trainlog?
Trainlog was hunted by David Rueda. 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.
For a complete overview of Trainlog including community comment highlights and product details, visit the product overview.
David Rueda