I'm building an open-source Amazon

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A couple of years ago, I had an interesting idea. What if there was a marketplace where all the underlying tech was open-source? The order management system, the storefront, customer support, etc. The marketplace would simply connect to the seller’s infra instead of locking them in. If, for some reason, the seller is removed from the marketplace, their software stays with them and they can continue accepting orders directly. This model can be used to disrupt any marketplace from AirBNB to UberEats: building tech for home renters and restaurants and later, leveraging that to build a competing marketplace. In 2019, I started building the first piece, Openship, an order management system that lets you source orders and fulfill them from anywhere. Now that that’s in stable release, next up is Openfront (an e-commerce platform for storefronts) and Opensupport (ticketing software for customer support). Together, they provide the staples for any modern business: sales, fulfillment, support. Let me know what you guys think of the idea and if you see any potential pitfalls.

Visit product View on Hacker NewsSep 2, 2022

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

73%73% 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: model, open · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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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