Remote Work and Free Time

Hacker News

Hey folks! I track time for 4 years already... Usually, remote work isn't demanding when for an engineer in a non-early stage startup. When you like your job and are excited about career growth, putting in extra hours can payout. But for some folks working enough hours and doing something on the side could be a better strategy. When you think of time as an investment, you may distribute it properly between a day job, side projects, and hobbies. How do you think of your time in the era of flexible work? Do you treat it as an investment, or do you go with a flow? P.S. If you entertain an idea of allocating and tracking time, you may try it with https://increaser.org

Visit product View on Hacker NewsJan 25, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: excited, ide · Missing: https docs, just released, exist

67%67% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

19%19% 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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