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Reckon, the decision calibration journal
Less journaling, more calibration
Most decisions feel resolved the moment you make them. Reckon keeps what hindsight erases: the prediction, the confidence, the reasoning. Check-ins capture what changes before the outcome: new info tagged positive or negative, confidence updated. At resolution you log what happened; weeks later it asks if you'd still make the call. A year in, you see where confidence overshoots, where it undershoots, where judgment is sharpest. iPhone and iPad, iCloud sync, no account. One-time purchase.
I built this because I noticed the same thing keeps happening to me: I make a call, the outcome arrives a few weeks later, and by the time I remember what I had predicted, the story has already been re-written by hindsight. The version of me that hesitated, that wasn't sure, is gone, and with it most of what I could have learned.
A note app captures what happened. A journal captures how I felt. Neither captures what I predicted, or how confident I was before I knew. So I built the thing that does.
Reckon is a decision journal where the moment of choice is the beginning, not the end. You log a prediction with a confidence percentage and a review date. Between then and resolution, check-ins capture what changed: new information tagged positive or negative, updated confidence. At resolution, you log the outcome and how satisfied you are. Thirty to sixty days later, the app asks again: would you make this call again? Because the two answers can sometimes differ from each other.
After enough decisions, calibration becomes something you can see: where your confidence overshoots outcomes, where it undershoots, which domains your judgment is sharp in. That's the part I wanted, and couldn't get anywhere else.
It's for anyone who has ever felt their judgment is good but couldn't prove it, or for those of us that failed a decision, but can't put our finger on why. Founders, parents, planners, investors, people who care about thinking clearly.
One-time purchase. Native iOS, with iCloud sync, no account, notifications for checkins and followups.
What's next: after launch, I want to spend time on the long-window calibration views (year-over-year and domain-vs-domain), because that's where the artifact really starts paying back.
I would love any feedback, especially if the concept makes sense or feels useful for non-forecasters.
About Reckon, the decision calibration journal on Product Hunt
“Less journaling, more calibration”
Reckon, the decision calibration journal was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #37 on the daily leaderboard. Most decisions feel resolved the moment you make them. Reckon keeps what hindsight erases: the prediction, the confidence, the reasoning. Check-ins capture what changes before the outcome: new info tagged positive or negative, confidence updated. At resolution you log what happened; weeks later it asks if you'd still make the call. A year in, you see where confidence overshoots, where it undershoots, where judgment is sharpest. iPhone and iPad, iCloud sync, no account. One-time purchase.
On the analytics side, Reckon, the decision calibration journal competes within iOS, Productivity and Quantified Self — topics that collectively have 769.1k followers on Product Hunt. The dashboard above tracks how Reckon, the decision calibration journal performed against the three products that launched closest to it on the same day.
Who hunted Reckon, the decision calibration journal?
Reckon, the decision calibration journal was hunted by Roland Leth. 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 Reckon, the decision calibration journal including community comment highlights and product details, visit the product overview.
Roland Leth
Hey Product Hunt. Roland here, maker of Reckon.
I built this because I noticed the same thing keeps happening to me: I make a call, the outcome arrives a few weeks later, and by the time I remember what I had predicted, the story has already been re-written by hindsight. The version of me that hesitated, that wasn't sure, is gone, and with it most of what I could have learned.
A note app captures what happened. A journal captures how I felt. Neither captures what I predicted, or how confident I was before I knew. So I built the thing that does.
Reckon is a decision journal where the moment of choice is the beginning, not the end. You log a prediction with a confidence percentage and a review date. Between then and resolution, check-ins capture what changed: new information tagged positive or negative, updated confidence. At resolution, you log the outcome and how satisfied you are. Thirty to sixty days later, the app asks again: would you make this call again? Because the two answers can sometimes differ from each other.
After enough decisions, calibration becomes something you can see: where your confidence overshoots outcomes, where it undershoots, which domains your judgment is sharp in. That's the part I wanted, and couldn't get anywhere else.
It's for anyone who has ever felt their judgment is good but couldn't prove it, or for those of us that failed a decision, but can't put our finger on why. Founders, parents, planners, investors, people who care about thinking clearly.
One-time purchase. Native iOS, with iCloud sync, no account, notifications for checkins and followups.
What's next: after launch, I want to spend time on the long-window calibration views (year-over-year and domain-vs-domain), because that's where the artifact really starts paying back.
I would love any feedback, especially if the concept makes sense or feels useful for non-forecasters.