Products

WatchLLM

Skill

YOUR AI AGENT IS YOUR CO-PILOT IS A FUCKING LIAR.

watchllm.dev SourceSecurity & Privacy / Application & Cloud Security

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Kaadz
@kaad_zz· 28 followers
Launched
11mo ago
2025-12-24 · Est.

Traffic

Last 12 months
Monthly visitsData through Sep 2026 · Oct 2026 pending
Events3 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
X accounts@kaad_zz
  • Launched on Show HN (1 pts)Launch

    WatchLLM – Debug AI agents step-by-step with cost attribution — Hi HN! I built WatchLLM to solve two problems I kept hitting while building AI agents: 1. Debugging agents is painful - When your agent ma…

    Jan 16 · 10mo agoLaunch page

  • Launched on Show HN (1 pts)Launch

    Built a tool so that you can track where your LLM costs are headed

    Jan 13 · 10mo agoLaunch page

  • Launched on Show HN (1 pts)Launch

    WatchLLM – Semantic caching to cut LLM API costs by 70% — Hey HN! I just shipped WatchLLM - a semantic caching layer for LLM APIs that sits between your app and providers like OpenAI/Claude/Groq.…

    Dec 24, 2025 · 11mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2025-12-24Source
Post excerpt:
Hey HN! I just shipped WatchLLM - a semantic caching layer for LLM APIs that sits between your app and providers like OpenAI/Claude/Groq. The problem: LLM API costs add up fast, especially when users ask similar questions in different ways ("how do I reset my password" vs "I forgot my password"). The solution: Semantic caching. WatchLLM vectorizes prompts, c
Show HN
2026-01-16Source
Post excerpt:
Hi HN! I built WatchLLM to solve two problems I kept hitting while building AI agents: 1. Debugging agents is painful - When your agent makes 20 tool calls and fails, good luck figuring out which decision was wrong. WatchLLM gives you a step-by-step timeline showing every decision, tool call, and model response with explanations for why the agent did what it

Open Source & Agent Ecosystem

GitHub · MCP / Skill
Last commit 2026-03-22
GitHub Stars
Public repo
Forks
—
License
See repository
Primary language
—

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct37%
  • Organic Search35%
  • Referrals10%
  • Social7%
  • Other10%

Countries

  • Türkiye100%

Search

Domain authority —Domain registered 2025-12-05

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Pricing page does not list plan prices.

Trial: None · Observed 2026-11-03 · Pricing page

Pages & changes

Tracked since 2026-07-31

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does WatchLLM get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is WatchLLM and what platforms does it support?
WatchLLM is catalogued under Application & Cloud Security: YOUR AI AGENT IS YOUR CO-PILOT IS A FUCKING LIAR.. Supported platforms: CLI / SDK.
Is WatchLLM open source?
WatchLLM has a public repository (https://github.com/kaadipranav/WatchLLM) with its source repository published.Source

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