EARLY - connect with Early adopters

Hacker News

We thought it would help us a lot if we would have a platform to connect with early adopters more easily for Stamplin. As a quick and dirty side project, we buit early (http://early.herokuapp.com/) other the weekend. There is a lot's of features we would like to add: - obviously, subscribe, single vote by project - comments - give your email address, add twitter account info and more to keep early adopters posted - more details about the project (images, video, etc..) Customer validation shouldn't be that difficult. Comments/thoughts?

Visit product View on Hacker NewsMay 5, 2013

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

68%68% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

56%56% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% 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

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% 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.

Correct prediction on native model

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