Quantypace - Flow metrics for Linear + GitHub teams

Hey Product Hunt! 👋 I built Quantypace because I was tired of jumping between Linear, GitHub, and spreadsheets just to answer "when will this ship?" The problem: Engineering managers spend hours before every sprint planning, review, and retro manually pulling data from Linear and GitHub. There's no single view of code-to-deploy time, and forecasting delivery dates means gut-feeling guesses. What Quantypace does: 🔗 Connects Linear + GitHub — one dashboard for issue flow AND code delivery ⏱️ Cycle time tracking — P50, P80, P95 from issue start to deploy 📊 Monte Carlo forecasting — "When will these 12 items ship?" with confidence ranges 🚀 Code-to-deploy metrics — see exactly where bottlenecks happen (PR review? staging? merge?) 📋 Ceremony packs — auto-generated sprint planning, review, and retro packets 📈 DORA-aligned metrics — deployment frequency, lead time, change failure rate What makes it different from Screenful, Swarmia, etc: Built specifically for Linear + GitHub (not a generic connector) No per-seat pricing — unlimited viewers on all plans Ceremony packs — ready-made data packets for sprint events Monte Carlo forecasting built in, not an add-on 🎁 Launch offer: Free beta access — just sign up and connect your tools. I'd love your feedback — what flow metrics matter most to your team? Drop a comment! 🙏