Describe your company. Naïve builds it.

San Francisco, CA
Joined February 2026
We’re hosting the world's first Autonomous Company Hackathon @ycombinator $100,000+ in prizes. Winners get a guaranteed YC interview. Mac Minis, iPhone 18 + much more: 💰💰 Pick a business. Build the agent team that runs it with the Naïve SDK. Show it operating at demo time. November 7–8, YC office, San Francisco. Thanks to our sponsors: @OpenAI , @OpenRouter , @supabase, @neondatabase, @vercel , @stripe , @agentmail, @tenki, @MonidHQ, @apify, and more. register ⬇️
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Introducing Clipping Bench v1.0. We measure how well agents can run profitable clipping channels autonomously. To create this benchmark, we gave each team of agents $300 to run hundreds of channels across Tiktok, Instagram, Youtube (120M+ views) using SOTA models.
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Takeaways: > Baseline strategy*: $2,606 > Best model, GPT-6 Astra: $9,514 > Oracle**: $27,521 (2.9x Astra) *Baseline strategy: a scripted bot, no AI model, that reads transcripts and follows the posted campaign rules. **Oracle: a scripted bot that can see the simulator's hidden state. It shows roughly how much a near-perfect player could earn. Conclusion: There's a lot of room left for improvement for agents to autonomously run companies.
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We built Clipping Bench because we have thousands of users running AI channels. If you want to run your own AI clipping channel with agents across TikTok, YouTube and Instagram: Check out Naive → usenaive.ai/businesses/clipp…
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Announcing Naïve × @tenki Starting today, every Naïve agent computer runs on Tenki sandboxes. On average, users will see: → ~30% lower sandbox costs → 72.3% lower sandbox latency
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Jev (@typesafeai) is now live in Naïve. Your agent shouldn't be using the same model for every task Now it doesn't have to. Read more at: usenaive.ai/docs/concepts/mo…
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Introducing Vetta, the most efficient harness for long-horizon agent tasks. Same model, same tasks. Only the harness changed: 🥇 Vetta: $0.298 per finished task 🥈 claude-code: $0.872 🥉 hermes: $1.095 Highest finish rate, a third of the price. Autonomous companies only happen when the cost makes sense. Here's how we get there:
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We proved Vetta for ourselves first. Old infra: > ~$670k/mo for 750k+ agents > ~$2M/mo running frontier claude-family inference on all tasks > Always-on VM per tenant, billed 24/7. New infra: > ~$50k/mo for 1M agents > ~$200k/mo auto routing tasks and optimising inference > Agents sleep when idle.
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Vetta is in early beta. Don't miss out! Get in early today: Vetta.sh Use code VETTA50 for 50% off your first month.
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Naïve Lab is live four benchmarks on the substrate agents actually run on. Serverless agent runtime hosting: what a million agents cost to keep alive, at 100,000 tenants × 10 agents per month. 🥇 Naïve · serverless — ~$44–60k 🥈 Self-host Hermes / Eve — ~$740k 🥉 Self-host OpenClaw / Paperclip — ~$1.5M VM per tenant (AWS) — ~$14M Every runtime here is free to licence. The cost is the box staying awake between turns, and agent work is bursty — a turn, then nothing for an hour. We want an agent running continuously for every workspace. That is a hosting problem before it is a model problem.
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Agent Brain on FictionalCharacters QA, at a matched gpt-4o-mini backbone. Single-hop 🥇Naïve Brain 91% 🥈 CAR (prior SOTA) 78% 🥉 HippoRAG-v2 54% Multi-hop 🥇 Naïve Brain 57% 🥈 CAR (prior SOTA) 30.2% 🥉 the remaining field ≤7% 22 published systems answer ≤7% of multi-hop questions correctly. It is the split the benchmark reports as universally failed.
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Inference: 20–30% cheaper per solved task on SWE-bench Pro, by delegating retrieval to a scout sub-agent. Claude Opus 4.8 — $1.23/solved, was $1.75 · −29.8% · +3 solved Claude Opus 5 — $1.07, was $1.35 · −20.4% · +1 GPT-5.6 Sol — $0.82, was $1.05 · −21.9% · −2 Kimi K3 — $1.00, was $1.35 · −26.0% · +1 A scout call costs ~$0.0034 against ~$0.031 for a planner step — roughly 9× less and adds ~1.8% to the bill.
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