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A productivity journal for the mildly depressed

Hacker News

A productivity journal for the mildly depressed

A few months ago, I underwent in-patient treatment for depression. I created a productivity journal based on the activities and methods that I learned during treatment. The Mood and Productivity Journal ( https://www.moodcheckin.com/store/p2/mpjournal ) is different from journals I've used before because it encourages you to track not just how much you got done, but also how you're feeling every day. Weekly retrospectives help you identify what affects your mood on a long-term basis so you can take specific steps towards feeling better. A hardcopy version of the journal is available at: https://www.moodcheckin.com/store/p2/mpjournal A downloadable "lite" version is available for free at: https://www.moodcheckin.com/store/p7/mpjournal_lite_edition

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TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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