Claude Architect

Hacker News

Claude Architect

Introducing Claude Architect Make Plan Mode feel like a whiteboard session Architect is a plugin to create interactive architecture diagrams you can review, annotate, and revise with Claude. Coding agents one-shot prototypes, but production systems need more steering. Long prompts and many rounds of back-and-forth in the terminal can feel draining. I built this because I love whiteboard sessions with engineers. It's the easiest way to grok the whole system, spot relationships, and point out feedback. Architect makes Plan Mode feel like a whiteboard session: 1. Review the architecture at a glance 2. Drill down into containers and components 3. Comment directly on any node or edge 4. Review Claude's updates Under the hood, Claude builds a semantic model of the architecture using the C4 model: Context, Containers, Components, Code. The model is stored in YAML and rendered as SVG diagram. Claude receives your comments through a Channel and updates the plan + diagram together Try it now on github: https://github.com/willhennessy/architect I'd love feedback. How would you use this? What features do you want to see next?

Visit product View on Hacker NewsApr 27, 2026

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2points

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

97%97% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% 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: io · Missing: https docs, excited, just released

48%48% 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 · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

19%19% 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

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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