A newsletter for teenagers to build their dream career

Hacker News

Hey everyone, I’m Simon, a 29-year-old entrepreneur recognized in Forbes 30 Under 30 in 2022 for my work on improving financial education for Gen Z. But I wasn’t always a straight-A student—far from it. I struggled in school and was a late bloomer who constantly felt left behind. One teacher told me, “The job you’ll have as an adult probably hasn’t been invented yet.” She was right. As technology evolves at lightning speed, I can't predict the opportunities of the future, but I can teach the timeless skills, habits, and mindsets that can help you grab those opportunities. I’ve also noticed a wave of harmful “get rich quick” ideologies aimed at teenagers. To counter that, I created dream.career—a free, weekly newsletter designed to give teens practical skills school often overlooks: - Boost creativity & problem-solving - Save, invest, and build financial freedom - Find opportunities, take smart risks, and create your own luck - Turn hobbies and passions into income - Build gratitude, confidence, empathy, and courage Each issue delivers simple, actionable lessons that have helped me (and others) build fulfilling, sustainable careers. No gimmicks, no toxic narratives—just real skills and mindsets that work in any era. If you’re interested or want to share feedback, check out dream.career. I’d love to hear your thoughts or suggestions on making this more impactful for the next generation.

Visit product View on Hacker NewsDec 26, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

90%90% 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.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way, education · Missing: mobile apps, ios, personal

37%37% 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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