Easy Improv – Have fun and improve soft skills as a side effect

Hacker News

Tech stack: NextJS, Antd components, Firebase for some storage and DB 9 simple games to start enjoying improv with no experience. Some games details: - Go for "Battledeck" to improve your presentation skills and feel more comfortable speaking in public while everyone else laughs. - Check out "Blind Interview" if you want to have some easy fun with friends. - Use "Questions Only" or "One Voice" if you are looking for something fun with zero preparation or if your friend starts panicking. Seriously, I used these games to help my daughter calm down when she was too emotional on a flight. - And of course, "Lines" - make your audience enjoy your play by injecting their phrases into your performance and watching you struggle. Don't leave for tomorrow something you can enjoy today, especially if it makes you live longer and happier! Of course, I'll gladly get any feedback about my little baby. Thank you for your time, anyway.

Visit product View on Hacker NewsJul 22, 2024

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Launch Intel predictions

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

83%83% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

58%58% 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way, para · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% 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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