Use Claude's projects feature with any LLM

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I fell in love with Claude's projects feature but felt frustrated switching between different AI platforms. I wanted the freedom to use any LLM while keeping my knowledge base organized. So I built Prism Harmony - a workspace where you can use features like Claude's projects with any LLM of your choice. It's organized in 3 simple levels: workspace > topics > chats, making it easy to manage all your AI conversations in one place. Coming soon: We're expanding Prism Harmony's capabilities with document intelligence - parse PDFs, webpages, and even video content directly into your knowledge base. For those running their own models, we're adding support for local LLMs, giving you complete control over your AI workspace.

Visit product View on Hacker NewsFeb 21, 2025

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, models · Missing: mac, agents, macos

94%94% 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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · 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: ide, io · Missing: https docs, excited, just released

31%31% 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

11%11% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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