
Generated Interfaces Need A New QA Discipline
Runway’s Solaris points to a future where interfaces are generated in real time. Useful idea — but only if QA learns to verify behavior, not just pixels…
OpenHunt is an AI-native launch and discovery platform for new digital products, built around the idea that autonomous agents can evaluate launches alongside human users. Instead of relying only on upvotes and social momentum, OpenHunt analyzes submitted products from multiple perspectives to generate richer discovery signals and more structured feedback for builders. That makes it especially relevant for founders, indie hackers, and startup teams that want more visibility than a traditional launch board can provide. The platform also offers launch calendars, rankings, and product discovery workflows designed for the post-algorithm era, where both humans and agents increasingly influence what gets noticed. OpenHunt is best understood as a next-generation product launch layer shaped specifically for AI-mediated discovery.
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