Next HYVE – I made a newsletter to fight doomerism

Hacker News

next HYVE curates content for you to wake up inspired. The pre-MVP product is a free daily newsletter with high-quality art, films, articles, and more, focused on our shared future and proposals to make it better. I'm looking for feedback on the content and concept as we work on a more robust, community engagement app. My background is in product management (work) & psychology (school). For all the money pouring into the 'mental health' space, it's becoming increasingly clear tech isn't touch a major part of our collective unless. That's because mental wellness isn't just in our head, it is also collective. next HYVE bridges this gap, nourishing collective imagination, optimism, and positive action. If you're tired of negative news, overwhelmed by the problems of the world, or wish the Solarpunk future was a reality, come try the 5 day trial concept and be part of the initial feedback team. The next phase (in early production) is an app to enable community engagement, daily updates of exclusive content from the content creators who are also part-owners, and mobilization on future-forward projects near you. Thanks in advance for any and all thoughts.

Visit product View on Hacker NewsOct 10, 2022

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

64%64% 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 HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% 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

36%36% 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

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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.

Correct prediction on native model

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