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    <title>TrainDash — Blog</title>
    <link>https://traindash.app/blog/</link>
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    <description>How the coaching decides what it decides — periodization, autoregulation, volume landmarks and coming back from a break, written out rather than hidden behind an algorithm.</description>
    <language>en</language>
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      <title>RPE, RIR and your 1RM: the one scale everything runs on</title>
      <link>https://traindash.app/blog/rpe-rir-and-the-1rm/</link>
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      <pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
      <description>What RPE and RIR mean, how a rating converts to a percentage of your max, what the evidence says about how accurate that is, and how TrainDash reads a one-rep max off a set.</description>
      <content:encoded><![CDATA[<p>Every strength program has to answer one question before it can say anything else: how heavy? Percentage programs answer it with a number you tested once, months ago, on a day that may not have been representative of anything. Effort-based programs answer it with a rating you give after the set — and it turns out that rating carries most of what a percentage table knows, plus one thing it never could: how you are today.</p><p><a href="https://traindash.app/blog/rpe-rir-and-the-1rm/">Read the article</a></p>]]></content:encoded>
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      <title>Introducing TrainDash: a strength program that argues back</title>
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      <pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate>
      <description>A block-periodized coach for squat, bench and deadlift that re-plans itself every session — what it does, how it decides, and what it deliberately refuses to do.</description>
      <content:encoded><![CDATA[<p>Every strength program is a prediction. Somebody decides today what you will lift in five weeks — how many sets, at what percentage, on which day — and writes it down. Then you get a cold. Work runs long on a Tuesday. Your bench moves faster than anyone guessed and your squat stalls for a month. The prediction was made once, in advance, by someone who could not see any of that.</p><p><a href="https://traindash.app/blog/introducing-traindash/">Read the article</a></p>]]></content:encoded>
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