Active circles, invite friends' friends to your event

Hacker News

Are you looking for a great get together? Well, you can post it on facebook and twitter. Majority of them are strangers and you don’t want them anywhere near your event. But still… you want your event to be a success and your circle of friends is nowhere near enough. What do you do? Did you know your friends’ friends are people you met with but never had a chance to get to know them better? But you don’t have them in your contacts, what do you do? Now you can with Active Circles. “Pull” people into whatever you’re doing by a simple tap on a “circle”. Planning for a new party, need friends for a quick yoga session. How about going for a run? Active Circles allows you to give a shout out to your close friends and your friends’ friends all at the same time. Have you ever noticed that sometimes that’s not enough? A picture is worth a thousand words but more than that it creates a great story to tell. Give someone an extra little nudge to get up and get going to come over to whatever you are doing. This is the pleasant side effect of Active Circles. A simple way to invite friends over and create huge crowds! If more common friends are present at the same place then stronger the effect. So have fun and let us know how we can make it better! (Only Available in North America for now). Version 2 with groups coming soon! Sign up below to receive updates! https://mailchi.mp/41fa50e83ed8/active-circles https://play.google.com/store/apps/details?id=com.the99topics.activeCircles&hl=en

Visit product View on Hacker NewsMar 9, 2018

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

71%71% 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 HuntUnlikely to reach the leaderboard · Strong signals: google, apps, new · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

40%40% 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

36%36% 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: active · Missing: arr, mrr, revenue

20%20% 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.

Incorrect prediction on native model

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