
The AI coding agent for building ambitious software
The AI coding agent for building ambitious software
NapCat records 4,224 monthly visits with -16.8% month-over-month growth and Free pricing. Raindrop records 42,807 monthly visits with -18.4% growth and Free Trial, Paid, Contact for Pricing pricing.

Free MacBook notch monitor for Claude Code, Codex, and other AI coding agents
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | napcat.app | raindrop.ai |
| Pricing Model | Free | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 4.22K (4,224) | 42.81K (42,807) |
| MoM Traffic Delta | -852 (-16.8%) | -9.63K (-18.4%) |
| Primary Market & Share | 🇺🇸 United States (66.3%) | 🇺🇸 United States (77.1%) |
| Direct Visits / mo | 1.4K | 23.55K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |

Free MacBook notch monitor for Claude Code, Codex, and other AI coding agents
See at a glance which of your AI coding sessions are working, which need you, and which finished, with stable identities across CLI and desktop threads.
Click a row in the notch to jump back to the precise Claude Code or Codex session and thread, instead of hunting through terminals and windows.
Review permission requests and structured MCP elicitation forms from the notch; simple choices resolve inline while typed or secret fields open a native form.
Cover your displays with a private nap screen while builds and downloads continue in the background, with keep-awake holding off sleep and the lock timer.

Find and fix problems in your AI agents before users do
See every message, tool call and decision in a run, with inputs, outputs and durations, so you can pinpoint where a run broke down.
Recurring failures are grouped into issues with severity, affected users, last-seen time and a confidence score, instead of scattered alerts.
An agent investigates issues and automates follow-up across Slack, the web app and MCP, so debugging happens where your team already works.
Run scenarios against a change on a pull request and compare results with real traffic to catch regressions before merge.

The AI coding agent for building ambitious software
The AI coding agent for building ambitious software
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams

The coding agent that learns your coding taste
The coding agent that learns your coding taste

Free / Open-sourceOpen-source personal AI assistant that runs on your own machine and works from chat apps
Free / Open-sourceOpen-source personal AI assistant that runs on your own machine and works from chat apps

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Free / Open-sourceCut AI agent token costs with recoverable context compression and smart model routing
Free / Open-sourceCut AI agent token costs with recoverable context compression and smart model routing

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org

Automated QA, simulation and observability for voice and chat AI agents

Connect your AI agents across machines
Connect your AI agents across machines