The winning AI-native architecture is recursive loops where AI ingests multimodal data (support tickets, session recordings, logs, Slack), identifies problems, ships fixes via PRs, measures…

AI can do a superhuman job of understanding everything happening across sales calls, internal meetings, emails, and user behavior to decide what to build, making the product manager role sh…

Models like GLM 5.2 are already adequate for tons of internal work; the real challenge and startup opportunity is building the harness/tooling that lets models actually execute tasks — send…

Frontier models like GLM 5.2 and Claude are already capable enough for most engineering tasks; the bottleneck and opportunity is building the harness layer that ingests intent from meetings…

More ambitious ideas attract stronger investors who focus on upside (what if it all works) rather than downside protection; bad investors avoid ambitious bets but the best investors prefer…

Venture returns follow a extreme power law where virtually all value comes from a handful of $100B+ outcomes; investors rationally ignore downside protection and only fund founders pitching…