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A Next.js Marketplace Boilerplate

Hacker News

A Next.js Marketplace Boilerplate

Hi HN, I recently built a two sided online marketplace called Nordic Mugs. It took me 2 months to make the MVP. After finishing the MVP, I launched it on a Facebook forum to see if I could get both sides to connect (sellers and buyers). I wasn't sure if it would be possible. It went relatively well, and the marketplace is still running today. I realized that when building a marketplace, the most important thing is quickly building the MVP, so you can launch it to see if you can get both sides to connect. That's why I built this boilerplate. With it, you can build something similar to Nordic Mugs quickly. Let me know what you think. Useful?

Visit product View on Hacker NewsAug 26, 2024

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

63%63% 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 NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

44%44% 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

38%38% 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

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% 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

22%22% 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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