Destash – Buy and sell childrens clothing (UK)

Hacker News

If you live in the UK and have children I would REALLY appreciate any thoughts you have. My name is Tom, this is my startup which I recently launched. I have been working on the technology and platform for some time now though. Why did we create this: - Young children outgrow their lightly used clothes each year. So parents have a constant need to get in new items and pass on their used items. - The environmental problem of fashion is huge, literally bigger than aviation and marine shipping combined. - Parents want quality clothes at an affordable price and they don't have time to mess around with bad actors and time wasting features. They deserve a product built around their specific needs. - Existing well known platforms aren't as customer focused as they should be, leading to bad experiences and mistrust. We believe a competitor in this area can increase the bar for what a customer experience should look like in the resale space. Key features: - App only - UK only for now - Available on App Store & Google Play - Zero seller fees - 10% buyer fee - Bundle discounts Download the app using this link https://getdestash.page.link/download Minimal website here https://getdestash.com/ (n.b. The app requires a sign up, phone number + email, I know this might be frustrating for a quick review but it really is required when dealing with C2C commerce and wanting to ensure a level of trust in the user base we are trying to build, apologies for that!) Thank you for any comments in advance.

Visit product View on Hacker NewsSep 28, 2024

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

93%93% 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: google, user, new · Missing: mac, agents, macos

55%55% 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: exist, existing, io · Missing: https docs, excited, just released

39%39% 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: platform · Missing: plus, intuitive, reviews

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

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

25%25% predicted probability of success on TrustMRR, 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

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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