Identify net-positive engineers with AI-driven insights

Stirixi unifies GitHub, Linear, AI tooling metrics, Snowflake analytics, and Solana credentials—giving CTOs complete visibility into which engineers accelerate delivery and why.

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Connected systems

Live

Engineer insights

Soulbound

Employee analytics

Gemini

AI copilot engine

Sarah Kim

Senior Full-Stack Engineer

Performance Score8.7

PRs Merged24/month

Bugs Generated3

Inspiration

Closing the blind spot on net-positive engineers

CTOs and engineering managers constantly face a blind spot: it’s hard to prove who on the team is truly a net positive when GitHub commits, PR reviews, and AI tool usage live in silos.

We built Stirixi AI ATL to unify that signal—the first observability cockpit blending delivery metrics, AI tooling activity, and on-chain proof-of-work into a single “CTO operating system.”

What it does

Stirixi AI ATL helps leaders instantly spot net-positive, neutral, and net-negative engineers by fusing delivery health, AI leverage, and hiring signals.

Live Engineering Cockpit

Track PR throughput, bug rates, review latency, AI spend, and hiring funnels from a single Next.js dashboard.

StirixiAI Copilot

A Gemini-powered assistant reads your org snapshot and recommends staffing or mentorship moves in plain language.

On-chain Reputation

Soulbound Tokens on Solana Devnet capture each engineer’s performance snapshot with tamper-proof proof-of-work.

Full Data Stack

MongoDB, Snowflake, and FastAPI services unify GitHub, Linear, Codex, Cursor, and Claude signals into one source of truth.

Bring clarity to every engineering decision

Explore how Stirixi pairs delivery analytics, AI copilots, and evidence-backed credentials to spotlight net-positive impact and guide next best actions.

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