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Trainingload.ai
AI coaching and training plans for runners and cyclists
Bring your training plan, completed workouts, load, and recovery into one place. Trainingload.ai helps runners and cyclists compare planned vs. actual sessions, track fitness, fatigue, and form, and use an AI coach to adjust what comes next. Sync Strava or Intervals.icu, import Garmin history and activity files, and use the hosted app or self-host the open-source core. Free plans and core analysis; AI Coach is available with a subscription.
A training plan is only useful if it stays connected to the training you actually complete. Trainingload.ai brings plans, completed workouts, load trends, and AI coaching into one workflow for runners and cyclists.
You can:
• Compare planned workouts with the sessions you actually completed.
• Track fitness, fatigue, and form trends across your training cycle.
• Ask AI Coach to review your training and suggest what to adjust next.
• Sync supported platforms or import Garmin history and FIT, GPX, and TCX files.
You stay in control: AI Coach proposes changes; you decide whether to apply them.
The hosted app includes free running plans, a calendar, and core analysis, with paid AI Coach access. The training core is open source and self-hostable. There is also a read-only MCP connection for asking compatible AI tools about your training data.
I'd love feedback on the plan-vs-actual workflow, which training signals you find useful, and what would make AI coaching more practical in your everyday training.
No comment highlights available yet. Please check back later!
About Trainingload.ai on Product Hunt
“AI coaching and training plans for runners and cyclists”
Trainingload.ai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #336 on the daily leaderboard. Bring your training plan, completed workouts, load, and recovery into one place. Trainingload.ai helps runners and cyclists compare planned vs. actual sessions, track fitness, fatigue, and form, and use an AI coach to adjust what comes next. Sync Strava or Intervals.icu, import Garmin history and activity files, and use the hosted app or self-host the open-source core. Free plans and core analysis; AI Coach is available with a subscription.
Trainingload.ai was featured in Health & Fitness (83.5k followers), Open Source (69k followers), Artificial Intelligence (483k followers) and GitHub (41.5k followers) on Product Hunt. Together, these topics include over 220.6k products, making this a competitive space to launch in.
Who hunted Trainingload.ai?
Trainingload.ai was hunted by ber ber. 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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ber ber
Hey Product Hunt! I'm the maker of Trainingload.ai.
A training plan is only useful if it stays connected to the training you actually complete. Trainingload.ai brings plans, completed workouts, load trends, and AI coaching into one workflow for runners and cyclists.
You can:
• Compare planned workouts with the sessions you actually completed.
• Track fitness, fatigue, and form trends across your training cycle.
• Ask AI Coach to review your training and suggest what to adjust next.
• Sync supported platforms or import Garmin history and FIT, GPX, and TCX files.
You stay in control: AI Coach proposes changes; you decide whether to apply them.
The hosted app includes free running plans, a calendar, and core analysis, with paid AI Coach access. The training core is open source and self-hostable. There is also a read-only MCP connection for asking compatible AI tools about your training data.
Try the read-only demo without signing up: https://demo.trainingload.ai/en
I'd love feedback on the plan-vs-actual workflow, which training signals you find useful, and what would make AI coaching more practical in your everyday training.