Stop N Swop: A retro gaming marketplace

Hacker News

I got tired of trawling through mountains of over-priced low-quality often-irrelevant listings on ebay and decided to make a fresh alternative. There's no shopify or squarespace, I built it from the ground up as a one-man-evenings-and-weekends job over the past 2 years. This is the first time I've ever got a side project from conception to launch instead of abandoning it mid way through. I've also never put together the entire infrastructure myself before (I'm usually a back-of-front-end developer) so I'm pretty pleased with how it's come together. The front end is Vue (with Nuxt). I've always had a soft spot for Vue but professionally I've almost always worked on React apps. On the backend I have a simple node.js express server acting as an api gateway, and then several event-driven miniservices. (I've never done EDA or mini/micro services so this was another opportunity to soak up articles and blogs.) Nothing overly fancy and no giant frameworks involved, just node.js apps communicating via Redis and a MongoDb data store. The entire app is running across Digital Ocean droplets, which is also the first time I've attempted to set up anything like this.

Visit product View on Hacker NewsJan 23, 2023

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

84%84% 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.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

20%20% 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

17%17% 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.

Incorrect prediction on native model

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