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Too Long; Automated

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Too Long; Automated

I can no longer stand Substack. Mostly because I don't like the fact that the readers of my blog are constantly being pushed towards subscribing to either the platform or the newsletter. It just shouldn't work like this... I know, call to action, declarations, impulsive decisions, all those marketing hooks. But whenever I find an online resource, like a blog, to be valuable, I'll simply bookmark it, follow the author on X, and find my way to the content. I don't like being pushed and I don't want anyone to go through this themselves. Maybe I'm naive, but I care about whoever visits my page, otherwise how would I expect to ever create a community around the topics I've been writing about? That's why I've decided to migrate from Substack to a custom page I'm currently building. I'm proud of the result and content so far, and thought I'll show it here to ask for your opinions and feedback. Thanks in advance! Here's the page: https://toolongautomated.com

Visit productView on Hacker NewsDec 16, 2024
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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
69%69% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.

Correct prediction on native model

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