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The HN Recap – A daily podcast that recaps the top HN posts of the day

Hacker News

The HN Recap – A daily podcast that recaps the top HN posts of the day

The podcast is produced entirely using AI tools. We welcome your feedback on all aspects including the following: Clarity of post summaries: Are the summaries easy to understand? Would you like them to be more or less detailed? Top 10 focus: Should we continue featuring the top 10 posts or consider covering more or fewer posts? Background music: Do you enjoy the music in the background, or would you prefer a music-free podcast? Synthetic voice recognition: Were you able to identify that the voice is AI-generated? Additional suggestions: If you have any other ideas for improvement, please feel free to share. Create your own podcast by visiting https://podcast.wondercraft.ai/

Visit product View on Hacker NewsApr 10, 2023

Actual performance

39points

22comments

Made the leaderboard

Launch Intel predictions

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

75%75% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% 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: using · Missing: mac, agents, macos

36%36% 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

34%34% 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

17%17% 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.

Correct prediction on native model

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