New Scoring System: Up Your Taboo Game with Taboo.ai Latest Update

Hacker News

Exciting news! Taboo.AI's latest update is here, and we've revolutionized the scoring system to encourage fair gameplay and prevent cheating! Now, not only is time a factor, but also the quality of your clues. The weighted score varies depending on the difficulty level, so you'll have to bring your A-game and squeeze out your creative juices to earn those top scores! Plus, the timer now flashes colors to keep you on your toes and warn you when time is running out. With these improvements, you'll be able to broaden your knowledge and enhance your thinking skills while having a blast with Taboo.AI. To be a clue-giving master, use clear and concise language and gradually narrow down your descriptions while avoiding taboo words. And remember, the guesser is ChatGPT AI, so get ready for a challenge! Let's keep the game fun and lighthearted!

Visit product View on Hacker NewsApr 6, 2023

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3points

2comments

Did not reach leaderboard

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

74%74% 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 · Strong signals: new, chatgpt · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

19%19% 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 · Strong signals: arr · Missing: mrr, revenue, profit

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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