10Minions: VS Code coding assistant powered by GPT-4

Hacker News

Hello all! We're excited to introduce you 10Minions, a GPT-4 based coding assistant for Visual Studio Code. Equipped for any programming language and can handle multiple file operations simultaneously. Our aim with 10Minions is to improve your coding efficiency and quality, endowing you with the ability to translate complex coding tasks into natural language directives. However, please be aware that 10Minions is currently in its Alpha version and you might experience a few limitations, mainly around multi-file operation and file size restrictions. We're working to address these issues, and your valuable feedback plays an instrumental role in this progress. Feel free to share your thoughts, every review is a price and leads us to create a better product! You can reach us out via 10minions@10clouds.com

Visit product View on Hacker NewsJul 17, 2023

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

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, io · Missing: https docs, just released, exist

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Correct prediction on native model

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