CopilotKit – a hackable OSS copilot for any react app

Hacker News

CopilotKit is a typescript library for adding a hackable copilot to any react app. You can let the copilot interact with your app via plain typescript closures , and give it (explicit) read access to app data. An example user interaction could look like: - "Which of these travel destinations has a rich architecture history?" - [Copilot answers] - "Great. Add these to my august trip folder, except the ones where it's typically rainy then" - [Added] Recursive agent integration (via Langchain) is in the works - if you have ideas I'd love to hear them here or on the discord.

Visit product View on Hacker NewsJul 21, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, user, plain · 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.

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

54%54% predicted probability of success on Indie Hackers, 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

46%46% 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 · Strong signals: answers · Missing: mobile apps, ios, personal

44%44% 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

40%40% 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

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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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