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GreetPool – an easy platform to create and share group cards with teams

Hacker News

GreetPool – an easy platform to create and share group cards with teams

Hi Everyone, Very happy and excited to Show HN GreetPool, GreetPool is a collaborative group greeting card platform that enables distributed teams, friends, family, or virtual communities to create and share collective ecards for all special occasions. Its the digital twin of the office card that's signed and passed around, but without the coordination hassles, and is much more fun and engaging. With remote-work/wfh prevalence widening the virtual distances, it is the small gestures that help teams stay connected, and keep the greeting card traditions, & the human connection at workplace, alive. Test out a Live demo here (no signup or account required) https://www.greetpool.com/demo We launched on ProductHunt today, feel free to check that out too. I would love to hear feedback and comments! ~Jaskirat

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
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.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
37%37% 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
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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.

Incorrect prediction on native model

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