Open-source, Self-hosted, Dockerized Gumroad alternative

Hacker News

As an indie I have to pay multiple commissions for selling digital items on payments hosts like Gumroad. Indies are subjected to arbitrary content censorship, Payment delays, Unfair discovery algorithms, Account banning etc. on several payment hosts. So I have built a self-hosted, Minimalist, FOSS(MIT), Dockerized payments host so indies like me can save money on commissions and not be at the mercy of payment hosts and their banks. Current features include, Customers can buy without logging in, Increases conversion. Stripe support, Just add the price id for the product and rest is done automatically. Multi-country pricing, Price changes automatically according to the user's location resulting in better conversion and for parity pricing. Mailchimp support, Customers are automatically added to a mailchimp list; Useful for sending newsletters. WYSIWYG editor to create beautiful product pages. Automatic SSL and other security features for production. Upcoming planned features include optional file delivery authentication, More payment gateways support, Subscription metrics. Feedback and feature suggestions are much appreciated.

Visit product View on Hacker NewsDec 21, 2022

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

91%91% 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.

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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% 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: host · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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.

Incorrect prediction on native model

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