Co

Codeium Chat: Free IDE-Integrated ChatGPT

Hacker News

Codeium Chat: Free IDE-Integrated ChatGPT

Hi HN, I'm Varun, CEO at Codeium. A few months ago, we launched our flagship AI-powered autocomplete capability to a decent response: https://news.ycombinator.com/item?id=33885676 Today, we are excited to launch our next major capability for accelerating software development with AI - Codeium Chat! Codeium Chat gives you both the familiar open-ended chat experience from ChatGPT as well as sleek one-click suggestions to integrate seamlessly with your existing workflows. No need to switch to browsers or copy-paste common prompts. Use it to generate, refactor, explain, and translate code (let us know what else you can use it for!) Codeium Chat is available today in VSCode, with more IDEs coming soon. This is just the next step in our mission at Codeium to build a one-stop AI-powered code acceleration toolkit that integrates naturally with your existing workflows, and would love to get your feedback.

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3points
1comments
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, chatgpt, code · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, existing · Missing: https docs, just released, lua
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.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
33%33% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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