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Nina

Built at Built with Opus 4.7: a Claude Code hackathon · Apr 21, 2026 · Remote

Demo video · www.loom.com/…

Kairos is a thinking layer for product builders. The bottleneck in shipping products has shifted from execution to judgment. Product builders are shipping faster than ever, but more speed doesn't automatically lead to better decisions. Most AI tools accelerate this problem rather than solve it - they're biased toward action, ignore unknowns and assume context instead of truly synthesising it. Kairos does the opposite. The product is structured around four stages. Signals is the data backbone: every piece of context a builder is exposed to - customer calls, research notes, tickets and internal threads, pulled into one layer, with sensitive material excluded by design. Two Claude Managed agents run weekly to ingest market and competitor updates automatically, so the system feeds itself between sessions. Synthesis is where judgment starts. Kairos looks at signals through three lenses simultaneously: internal (strategy, leadership, team debates), external (market and competitive moves), and customer (calls, tickets, direct feedback), and produces a single synthesised position. The value is in the connections across lenses: a customer signal that maps to a leadership-flagged risk, an internal capability gap that intersects with a market shift. Opportunities is where Kairos pushes back. Each ranked opportunity comes with a Devil's Advocate panel where the system argues against its own ranking. The opportunity layer also tracks which initiatives get picked and how they play out over time, so intelligence compounds: future synthesis flags when a builder is about to repeat a past mistake or miss the same kind of opportunity twice. Solution turns a chosen opportunity into three differentiated approaches with trade-offs named clearly, then pushes a structured brief to Linear: a project for the strategy and individual issues for the work, ready to hand to Claude Code for execution. I built Kairos because I urgently needed it myself. The bet underneath is that we don't just need to build faster, we need to build better, which means deciding what not to build, and when not to build it. A week in, I'm already making different decisions than I would have without it.

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