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Reusable packaging for online shops [German]

Hacker News

Reusable packaging for online shops [German]

Hi there, I'm the co-founder and CTO at Ravioli ( https://getravioli.de , page in German). We've built a reusable packaging service for online shops. In shops that work with us, customers can optionally choose to get their products delivery in a reusable shipping box instead of cardboard. They can then drop off the empty package at any DHL point (i.e. at every corner in many big German cities). The empty boxes are returned to our storage and prepped for the next cycle. For merchants, we make it super easy to start offering reusable packaging. We provide them with the software (e.g. our Shopify or WooCommerce plugin), the packaging, and take care of all reverse logistics and cleaning processes. We charge merchants € 2,99 per package shipped. Merchants can flexibly decide how much they charge their customers for Ravioli. We're currently live with a handful of smaller merchants, and so far the response has been better than we expected with ~ 30 % of customers choosing Ravioli during check out. Merchants are interested in reusable packaging because 1) they see increasing demand from their customers for sustainable shipping and 2) there's regulation coming in EU for reusable shipping quotas in ecommerce (the current proposal is 10% until 2030, and 50% until 2040): https://ec.europa.eu/commission/presscorner/detail/en/ip_22_... We currently offer the service to merchants that ship to Germany. You can check out our demo shop to see how it works: https://demo.getravioli.de (just add a product to the cart and check out). If you're a merchant, feel free to reach out and we can get your started: can@getravioli.de Looking forward to questions and feedback.

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
86%86% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, 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
40%40% 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 · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue
20%20% 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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