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Bucketly – visual history of personal achievements

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Bucketly – visual history of personal achievements

hi HN! I managed my bucket list (things to do before I die) in the .md file but I've found it not quite effective, so I built the website. I want to deliver high quality and yet collaborative catalog of ideas to have. Traditional todo lists lacks several things in the context of the bucket list -> these are not public / social, there is no catalog to inspire, there's no catalog to inspire you, lack of gamification, etc. Also, would be nice to have a lifetime visual history of personal achievements. All feedback is welcome.

Visit productView on Hacker NewsJul 28, 2025
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Product HuntOn track for Day 1 leaderboard · Strong signals: context, visual · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
66%66% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
52%52% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
41%41% predicted probability of success on TrustMRR, 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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