Easyful – A Free Gumroad Alternative

Hacker News

Hi HN, If you’re selling templates or digital assets online, platforms like Gumroad have a ton of amazing features . . . but they’re also expensive. It’s not uncommon to be paying 10%, 20% or even 30% of your revenue just to host and deliver some digital content to customers. Instead, we think most creators should own their own Stripe account and use a lightweight fulfillment layer to send customers their orders. So we built Easyful, a platform built on Stripe to email your content to customers when they buy it. And it’s free! We’ve been using Easyful ourselves for a few months now. Try it out and let us know what you think!

Visit product View on Hacker NewsAug 8, 2023

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

84%84% 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 HuntOn track for Day 1 leaderboard · Strong signals: stripe, email, using · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

21%21% 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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