FauxBuy – A fake buy button for Entrepreneurs

Hacker News

Find out if your customers will buy before you build. FauxBuy is an instant fake buy button for Entrepreneurs. You setup a marketing page, add a button, and get an email every time someone enters their credit card to buy. https://fauxbuy.com I've been thinking about this idea for a long time. Today I'm releasing my initial vision. “If you’re not embarrassed by the first version of your product, you’ve launched too late.” – Reid Hoffman This is my MVP. It's a great foundation but there's a lot more work to do. For starters, some JavaScript verification and friendlier error messages are coming soon. If you're interested in being an early adopter, PM me and I'll give you a discount on the product. I'm interested in any and all feedback in the comments below. "Enthusiasm is the sparkle in your eyes, the swing in your gait, the grip of your hand and the irresistible surge of will and energy to execute your ideas." - Henry Ford

Visit product View on Hacker NewsJun 5, 2017

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Actual performance

2points

3comments

Did not reach leaderboard

Launch Intel predictions

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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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