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Real intelligence drops generated by Miyagai. Six founder decisions across security, finance, legal, regulation, growth, and economics.
Key insight: The average Next.js app inherits 847 transitive dependencies. In 2025, 3 of the top 100 npm packages had confirmed malicious code injected via compromised maintainer accounts.
Contradiction surfaced: npm audit reports ‘zero vulnerabilities’ by default because it only checks direct dependencies. The actual attack surface is in the transitive tree that nobody reviews.
Key insight: The median YC SAFE cap in 2025 was $12M post-money, but founders who negotiated MFN clauses retained 8–12% more equity through Series A than those who accepted standard terms.
Contradiction surfaced: VCs recommend priced rounds for ‘clarity’, but YC data shows SAFE-funded companies close 40% faster and spend 60% less on legal — speed to market matters more than perfect terms.
Key insight: 3 of the last 10 failed tech acquisitions above $50M cited unresolved GPL contamination in due diligence. Acquirers now run automated license audits before term sheets.
Contradiction surfaced: The ‘SaaS loophole’ (GPL doesn’t apply if you never distribute binaries) is legally untested. The AGPL explicitly closes it, and 23% of popular database libraries use AGPL.
Key insight: Most AI startups fall under ‘limited risk’ (not ‘high risk’), requiring only transparency obligations — but misclassification triggers fines up to 3% of global revenue.
Contradiction surfaced: The Act exempts open-source models from most obligations, but startups fine-tuning open-source models for commercial use may not qualify for the exemption — the boundary is untested.
Key insight: PLG companies reach $1M ARR 60% faster than sales-led peers, but plateau harder at $10M. The winners switch to a hybrid model between $3–5M ARR — pure PLG rarely scales to enterprise.
Contradiction surfaced: PLG advocates claim ‘the product sells itself’ but top PLG companies (Figma, Notion, Linear) all added sales teams before $5M ARR. Zero-touch is a myth at scale.
Key insight: Bootstrapped companies started in down markets have 2.3x higher survival rates than funded peers from the same vintage. Constraint forces focus — and focus compounds.
Contradiction surfaced: Despite the ‘funding winter’ narrative, AI startups raised 35% MORE in 2025 than 2024. The downturn is sector-specific — if you’re building in AI, capital is available.
These examples show what Miyagai produces. Ask anything and get this level of intelligence.