An elegant AI chat client

Hacker News

Differences from other AI Chat clients: - Supports more platforms, including Windows, Linux, Mac, Android and Web (PWA) - Supports creating multiple workspaces to isolate conversations and work on different themes - Modifications and regenerations will be presented as branches, just like chatgpt.com - Local-first data storage + real-time cloud synchronization after login - Supports more MCP features, including Tools, Resources, Prompts, and supports both STDIO (desktop only) and SSE connections - Supports using prompt templates and variables to build dynamic and reusable prompts - Some detailed functions: user input preview, message content catalog, quote message content, custom keyboard shortcuts, etc. - Supports document parsing, bug no RAG yet

Visit product View on Hacker NewsMay 20, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

90%90% 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: mac, mcp, user · Missing: agents, macos, agent

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

58%58% 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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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