Which Marketplace? A crowd-sourced list. App markets for side-projects

Hacker News

Hello HN! Are you looking to build an extension, app or plugin as a side project? If you ever wondered what other software ecosystems and marketplaces there are besides the crowded WordPress Plugins, Shopify Apps and Chrome Extension Store we have a solution for you. A free crowd-sourced list with (50+) plugin marketplaces, app stores and software extension directories for different target markets. Check it out: >> https://goo.gl/rpBPQx (Airtable spreadsheet) If you'd like to stay in touch or add your thoughts and experiences into the database, check out the “More Info” tab in the spreadsheet. Patric

Visit product View on Hacker NewsMar 17, 2018

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

72%72% 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.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps · Missing: mac, agents, macos

44%44% 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: ide, io · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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

19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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