This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Hammad Abbasi
See Claude Code context. Control what it can do.
Iris is a local control plane for Claude Code. It shows exactly what each request carries, including system prompt, tool schemas, and conversation context. Find unused tools that create a recurring token tax, remove them safely, set Allow / Ask / Deny boundaries before tools run, and review what Claude actually executed.
I built Iris after noticing that a fresh Claude Code session was carrying far more context than I expected before I had done any meaningful work.
In one setup, the baseline was 28.0k tokens, with 25.6k coming from system tools. After removing optional tools I wasn't using, that dropped to 5.6k.
Iris shows where that context is going, which tool schemas are being carried, whether those tools are actually used, and how the request maps to API-equivalent cost and quota consumption.
From there, you can remove unused schemas, set Allow / Ask / Deny rules for tool execution, and review the tool activity from the session in the Flight Recorder.
Iris runs locally, is MIT licensed, and is available through npm.
I'd like feedback from people using Claude Code heavily, especially around context usage, cost visibility, quota efficiency, and Guard behavior.
About Hammad Abbasi on Product Hunt
“See Claude Code context. Control what it can do.”
Hammad Abbasi was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #57 on the daily leaderboard. Iris is a local control plane for Claude Code. It shows exactly what each request carries, including system prompt, tool schemas, and conversation context. Find unused tools that create a recurring token tax, remove them safely, set Allow / Ask / Deny boundaries before tools run, and review what Claude actually executed.
On the analytics side, Hammad Abbasi competes within Developer Tools, Artificial Intelligence, GitHub and Security — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Hammad Abbasi performed against the three products that launched closest to it on the same day.
Who hunted Hammad Abbasi?
Hammad Abbasi was hunted by Hammad Abbasi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Hammad Abbasi including community comment highlights and product details, visit the product overview.
Hammad Abbasi