Crowdfunded inventory for small businesses

Hacker News

We were a part of Boomtown Boulder's second accelerator class, and after a few months of thrashing and pivoting, we feel we've got something pretty cool! We are a new crowdfunding platform with a twist - we let you partner with retail businesses by financing their inventory, helping them with marketing/lead generation and then collecting a return when that inventory sells. What I am personally really excited about, is that because the users are actively engaged throughout the process, this type of investment is not classified as a security and we can offer it to non-accredited investors. It's also a pretty unique solution for the businesses as they essentially get their inventory fronted to them at no cost, freeing up their cash for other business activities. Would love any feedback on anything, our site is: http://www.kickfurther.com

Visit product View on Hacker NewsNov 15, 2014

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

80%80% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

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

TrustMRRFits verified-revenue profile · Strong signals: personal, month, users · Missing: mobile apps, ios, entrepreneurs

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos

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

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

39%39% 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

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.

Correct prediction on native model

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