Herbs Assist – Open-Source AI Assistant for Microservices Developement

Hacker News

Hello HN community, we just released Herbs Assist, an open source AI assistant that helps developers create use cases and specs using OpenAI GPT-3 Codex. It simplifies the workflow by generating natural language specs and Herbs specs and use case files based on the information provided. We are looking for feedback and suggestions for improvements. Since it is also open source, contributions are welcome.

Visit product View on Hacker NewsJan 10, 2023

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

92%92% 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.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% 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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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