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Codex.nvim – Codex inside Neovim (no API key required)

Hacker News

Codex.nvim – Codex inside Neovim (no API key required)

Hi HN! I built codex.nvim, an IDE-style Neovim integration for Codex. Highlights: - Works with OpenAI Codex plans (no API key required) - Fully integrated in Neovim (embedded terminal workflow) - Bottom-right status indicator shows busy/wait state - Send selections or file tree context to Codex quickly Repo: https://github.com/ishiooon/codex.nvim Why I built this: I wanted to use Codex comfortably inside Neovim without relying on the API. Happy to hear feedback and ideas!

Visit product View on Hacker NewsJan 29, 2026

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: codex, context, openai · 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: ide, io · Missing: https docs, excited, just released

61%61% 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

60%60% 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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% 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

16%16% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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