Konbini – One universal API for every ecommerce platform

Hacker News

Hi, HN! Konbini is a one-man project I've been working on for the better part of the year, and I think I've finally reached a point where it makes sense to put it out into the world and try to get some feedback on it. Aside from the obvious value prop of giving people a single API they can use to instantly integrate with every* ecommerce platform, one of my main motivations for taking up this project was giving fellow developers an abstraction that papers over the often... subpar experience of working with many ecommerce platforms' APIs, so hopefully people find it useful from that angle, too. *Konbini supports Shopify, WooCommerce and Magento (Adobe Commerce) right now.

Visit product View on Hacker NewsNov 10, 2022

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

85%85% 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: agent, single, apis · Missing: mac, agents, macos

84%84% 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: ide, io · Missing: https docs, excited, just released

48%48% 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

38%38% 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

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: shopify · 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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