Team analytics, AI insights, and proactive alerts for engineering teams using Claude Code and Cursor. Dev teams are bleeding money on Claude Code and Cursor and nobody knows where it goes. Talos Auditor fixes that: token spend broken down by task, developer, sprint and feature. Anomaly alerts in Slack before budgets blow up. Optimization suggestions grounded in real usage data. Weekly reports to Notion. One-line install. ~35% average savings. Solo-built, in beta — feedback very welcome.

AppSignal — Get full visibility into app health, errors, and performance

Get full visibility into app health, errors, and performance

Hey PH 👋 I'm the solo maker behind Talos Auditor. Quick story: I kept staring at our Claude Code + Cursor bill every month with no idea which task, feature or developer was responsible for the spike. Provider dashboards give you totals — not answers. So I built what I wanted to use. **Talos Auditor** breaks AI token spend down by task, developer, sprint and feature. Anomaly alerts hit Slack before budgets blow up. Optimization suggestions are grounded in real usage — not generic tips — like "this task ran on Opus but Sonnet would've sufficed, ~$180 saved." Weekly reports auto-ship to Slack and Notion. Install is one line. Early users are seeing ~35% reduction in AI tooling costs. First 100 from this launch get **40% lifetime**. What I'd love from this community: • If you're running a team on Claude Code or Cursor — try it and tell me what's broken or missing • If you're not the target user — tear the positioning apart. Is it clear in 10 seconds what this is and who it's for? • If you've launched on PH before — I'm all ears for advice I built this solo end-to-end, so I'll be here in the comments all day. Push back, ask anything, don't be polite. That's why we launch here 🙏

AppSignal — Get full visibility into app health, errors, and performance

Get full visibility into app health, errors, and performance

Talos Auditor

AI infrastructure that reduces LLM costs significantly

AI infrastructure that reduces LLM costs significantly