LBan

In your lending workflow, which stage did you automate first (doc intake, pre-underwriting, risk checks, or pre-disbursement review)? And what explainability fields do you surface for human reviewers at each stage?

What are the top 3 GitHub workflows where users save the most time (e.g., cross-PR diffing, tracing change rationale, finding key review threads)? Any average time-saved metrics would be super compelling.

How are you defining merge-blocking thresholds in real teams today—strict all-tests-pass, or risk-tiered gates (core journeys must pass, edge cases warn)? Would love to see a practical policy template that teams can copy.

Great concept for creator marketing teams. Curious: what are the best practices you recommend to keep AI influencer content consistent across multi-post story arcs?

Really interesting “proactive AI” angle. How does Enia learn team coding standards over time without introducing style drift across repos?

Love the value prop — super clear. Which website types are currently the hardest to normalize into stable API outputs (e.g., dynamic pages, auth walls, anti-bot pages)?

Love seeing what people are publishing with AI tools lately. One thing we noticed internally is that a lot of these “vibe projects” are surprisingly fun even though they’re tiny — things like little generators, interactive toys, mini games, or niche utilities you build in one sitting. Curious what others here have built with Claude / Cursor / Bolt recently — what’s the most random or fun thing...