CrowdPiper - experiments using popular social networks

Hacker News

How can we use so many popular social networks existing right now in interesting, creative, & meaningful ways? With CrowdPiper (http://crowdpiper.tumblr.com) I'm trying to find out exactly that. Crowd Piper lets you rally a crowd to participate in creative experiments on your favorite social networks. For example, you can explore fun ways of using photos on Pinterest or viral methods for marketing on Twitter and so on. The experiments, however, MUST involve lots of people & all contents MUST be crowd-sourced! I have submitted few of my own experiments & included a couple more from friends & other links. Feel free to submit your own new experiments or participate in one of them. Find out more here: http://crowdpiper.tumblr.com/faq#.T3LOrGGP-So

Visit product View on Hacker NewsMar 29, 2012

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

57%57% 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.

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

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

45%45% 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

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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