Make New Friends, a podcast about friendship

Hacker News

Hey HN. We just launched a new podcast about friendship. Two episodes are up so far, and the next one is coming on Wednesday. It's a conversational approach to talking about the taboo subject of friendship. Figured some of you might get a kick out of it! My wife and her friend Mary are hosting, and I'm doing the editing and publishing. You can find it on our website [1] and on iTunes [2]. [1] https://www.makenewfriendspodcast.com/ [2] https://itunes.apple.com/podcast/make-new-friends/id12454116...

Visit product View on Hacker NewsJun 17, 2017

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

87%87% 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: wife · Missing: supports, reddit linkedin, podcasting

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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

16%16% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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