Dropshipping with Remix, Printful, Stripe, and Cloudinary

Hacker News

While playing and learning Remix.run I pulled in the Printful API to display products. Well... after many hours, this turned into a little CMS that allows you to mange your products, orders, and media. Started with the Remix Blues Stack with the addition of: - Printful for merchandise and fulfillment - Stripe for payment processing - Cloudinary media hosting and delivery - SendGrid for sending transactional emails The Blues Stack has tailwind, prisma with Postgres, and deployment with fly.io Remix has been a lot of fun to work with and learn. You can play with a live store at dropshipjs.com and you can grab the code at: https://github.com/braginteractive/dropshipjs Looking forward to hearing your feedback.

Visit product View on Hacker NewsJan 13, 2023

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Did not reach leaderboard

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

87%87% 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, code · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% 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

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

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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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