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Guardrail by NeatProxy
Full visibility into your AI spend, before it goes rogue
We burned real money running AI agents and didn't know why until it was too late. That's the whole reason Guardrail exists. It's a local proxy for Claude Code and Codex that shows you where every dollar goes, system prompt, tools, that MCP server you forgot about, before you spend it. When you're about to blow a budget, Guardrail blocks the request. Not after. Before. Built for developers who'd rather see the bill coming than explain it later.
I'm Jitte, co-founder of NEAT. We built Guardrail because we got burned by our own AI spend while running a previous company: runaway agent loops, surprise bills, no way to see it coming until the invoice hit.
Guardrail is a local proxy that sits between your dev tools (Claude Code, Codex) and the AI providers. It blocks requests before they fire once you hit a budget threshold, instead of just reporting on the damage after the fact. A few things we're proud of:
Pre-send blocking, not post-hoc reporting
Local-first: your data stays on your machine, cloud sync is opt-in
Hidden Costs view that shows exactly what you're paying for (including MCP servers you forgot you connected)
A live status line so you see today's spend under every Claude Code prompt
We've been running this in closed beta with 35 users across several teams, and today we're opening it up more broadly.
Would love your feedback, especially if you're already burning real money on Claude Code, Codex, or other agentic tools. What's the scariest AI spend surprise you've had?
About Guardrail by NeatProxy on Product Hunt
“Full visibility into your AI spend, before it goes rogue”
Guardrail by NeatProxy was submitted on Product Hunt and earned 12 upvotes and 1 comments, placing #25 on the daily leaderboard. We burned real money running AI agents and didn't know why until it was too late. That's the whole reason Guardrail exists. It's a local proxy for Claude Code and Codex that shows you where every dollar goes, system prompt, tools, that MCP server you forgot about, before you spend it. When you're about to blow a budget, Guardrail blocks the request. Not after. Before. Built for developers who'd rather see the bill coming than explain it later.
On the analytics side, Guardrail by NeatProxy competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Guardrail by NeatProxy performed against the three products that launched closest to it on the same day.
Who hunted Guardrail by NeatProxy?
Guardrail by NeatProxy was hunted by Jitte Sjösäter. 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 Guardrail by NeatProxy including community comment highlights and product details, visit the product overview.
Jitte Sjösäter
Hey Product Hunt! 👋
I'm Jitte, co-founder of NEAT. We built Guardrail because we got burned by our own AI spend while running a previous company: runaway agent loops, surprise bills, no way to see it coming until the invoice hit.
Guardrail is a local proxy that sits between your dev tools (Claude Code, Codex) and the AI providers. It blocks requests before they fire once you hit a budget threshold, instead of just reporting on the damage after the fact. A few things we're proud of:
Pre-send blocking, not post-hoc reporting
Local-first: your data stays on your machine, cloud sync is opt-in
Hidden Costs view that shows exactly what you're paying for (including MCP servers you forgot you connected)
A live status line so you see today's spend under every Claude Code prompt
We've been running this in closed beta with 35 users across several teams, and today we're opening it up more broadly.
Would love your feedback, especially if you're already burning real money on Claude Code, Codex, or other agentic tools. What's the scariest AI spend surprise you've had?