Bootstrapped AI Product
Solo or small team, no VC, building an AI-first product
Order matters. Incorporate first to unlock downstream perks, join NVIDIA Inception before AWS (it improves your AI terms), then layer the big-3 cloud and an AI provider. None of this needs a VC referral.
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Incorporate as a Delaware C-Corp first — it unlocks Stripe, AWS, and a stack of partner perks you can’t get without an entity.
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Free to join. Do this before AWS — Inception membership materially improves your downstream AI/cloud terms.
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The easiest big-cloud entry with no VC needed. Start at the self-serve Founders Hub tier and verify up.
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Founders tier is open to self-funded startups. Apply with a professional domain email, not Gmail.
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Open business banking — it bundles partner perks and investor matching regardless of whether you’ve raised.
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Corporate card + a rewards marketplace with OpenAI, AWS, and Notion credits you can stack on top.
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Apply once Claude is clearly central to your product — show real usage, not a side feature.
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Edge, R2, and AI gateway credits — cheap egress and inference plumbing for an AI app.
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Atlas credits plus Voyage AI tokens for embeddings/RAG — the data layer for your AI features.
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Free Business plan + Notion AI to run the company while you build.
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Skip if you have no accelerator — Figma’s startup tier usually requires a partner affiliation.
Eligibility & how to apply
Other playbooks
Seed-Funded B2B SaaS
$500K+ in effective value
Seed-stage B2B SaaS with institutional funding
AI-First Seed (Series A-track)
$1M+ in cloud + AI credits
Compute-heavy AI startup, seed heading into early Series A
International (Non-US) Founder
$200K+ in credits + a Delaware C-Corp
Founder building a US entity from outside the US
Compliance-First (Enterprise Sales)
$500K+ in value + audit readiness
B2B SaaS selling into enterprise that requires SOC 2 / ISO / HIPAA