Failure Patterns
A curated, allowlisted library of 50+ India-specific failure patterns that Orin checks against your startup every night.
Most startups fail for a small number of recurring, recognisable reasons. Orin maintains a library of these patterns — drawn from Indian startup data and sector-specific knowledge — and scans your current state against them overnight.
What gets detected
- —Fundraising patterns — raising too much too early, no investor-thesis clarity.
- —Team patterns — solo founder scaling past MVP, all-technical co-founder overlap.
- —Financial patterns — short runway against the next milestone, negative gross margin at revenue stage.
- —Product patterns — building without customer conversations, feature creep before a first paying customer.
- —Go-to-market patterns — enterprise sales before product–market fit, paid acquisition before organic validation.
- —Sector-specific — EdTech without an institutional channel, FinTech without regulatory clarity, HealthTech without data-protection compliance.
Curated and reviewed, not invented on the fly
Patterns are stored in a database with a human review-and-publish workflow. Only published patterns drive live detection, and conditions are evaluated safely — they are never executed as code.
How to act on a flag
Each pattern comes with a severity, a confidence level, and a concrete intervention. When Orin flags a risk in your Morning Brief, it tells you what it sees and the single most effective next step — for example, recalibrate your raise, activate co-founder matching, or fix unit economics before raising.
Last updated: June 2026 · Suggest an edit