The Coolest advancements in AI this week

Hacker News

I hope you find these AI breakthroughs and projects as exciting as I do! I'd love to hear your thoughts, opinions, and predictions about these advancements in the comments below. Let's have a lively discussion! I'm also excited to announce that I've started a free daily newsletter called "The AI Revolution" to help you stay updated on the latest AI advancements, all in one place. Today's post is just the first issue, and I'm completely open to suggestions for improving tomorrow's newsletter. Your feedback will be invaluable in shaping this resource. Subscribe to "The AI Revolution" and never miss an update: https://theairevolution.beehiiv.com/subscribe And feel free to follow us on Twitter for more recent updates: https://twitter.com/TheAIRevolu Looking forward to your thoughts and ideas!

Visit product View on Hacker NewsApr 10, 2023

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Actual performance

4points

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: beehiiv, new, open · Missing: mac, agents, macos

58%58% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% 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

31%31% 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

29%29% 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

12%12% 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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