Ma

Make the most of your limited life, with ideas aligned with your goals

Hacker News

Make the most of your limited life, with ideas aligned with your goals

I've been thinking during the past years of building a website that would be: - aligned my views. - lean. no bloat. - useful. Early 2025 I noticed how hard it was to come up with good ideas of how to use my free time to the fullest. Even though there are tons of exciting things to do in the world, not all were aligned with my ideals. At the same time, our time here on Earth is _very_ limited, and in between busy lives and distractions, opportunities, time and energy pass, even though it might not seem like it. We've been given a beautiful gift, and we should honour it. That's where the idea to build vivotime.net came up. It shows you, without any sugar coating, how much life time you are predicted to have left, and then according to your goals, it suggests a series of meaningful ideas that you can allocate and manage for the time you have left. That's it. ---- https://www.vivotime.net/ was implemented using laravel, livewire, picoCSS and a sqlite database. I've tried to make it as lean as possible. No need for a overpowered MySQL database, or using tailwind, react, vue, or any other (default) technology du jour. There is something beautiful about keeping things contained to their essence, with nothing more, nothing less than what is required.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, 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
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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.

Incorrect prediction on native model

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