Instinct users grow by approximately 10%daily, driving computing demand close to doubling weekly; founder cites reservation and cost pressures in scaling

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Instinct’s founder said users have recently increased by approximately 10%to 11%per day, and computing demand is already close to doubling weekly.

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Instinct’s daily growth 10%comes at a cost: computing demand is doubling weekly, and the founder 40%spends time calculating how much to buy

Dongcha Beating AI breaking news, individual AI Agent Instinct founder Noah Shinn said the company’s user base has recently been growing by approximately 10%to 11%per day, with corresponding computing demand nearly doubling every week. He now spends approximately 40%of his time considering how much computing capacity to purchase in advance.

The difficulty is that computing capacity cannot be purchased in real time in lockstep with user growth. Shinn ran the numbers: if he buys only 2 times the current computing capacity, it will be exhausted in around 1 weeks; buying 5 times would also be fully consumed in under 3 weeks; directly purchasing 10 times, meanwhile, amounts to committing a large cost upfront. Many resources must also be reserved months in advance, while the price of adding capacity on short notice may be 3 to 4 times higher.

Even if Instinct’s daily growth rate falls from 10%to 5%to 8%, Shinn estimates that after sustained growth for 3 to 4 months, capacity may still need to be prepared for a user base of 100000000 users. The issue is that this is also roughly the wait time for additional computing capacity to come online. Buying too little cannot sustain growth, while buying too much magnifies costs if growth slows.

Shinn believes this is more difficult than scaling conventional consumer internet products. When Instagram or Facebook users double, they mainly process more requests; each additional user of an individual Agent also continuously consumes substantial model inference. He said Instinct’s current scaling pace is even faster than similar challenges previously faced by Claude Code and Codex.

Original link https://m.theblockbeats.info/flash/369489

Key points

Individual AI Agent Instinct founder Noah Shinn said the company’s user base has recently been growing by approximately 10%to 11%。
Noah Shinn said that corresponding computing demand is nearly doubling weekly, and that he spends approximately 40%of his time considering how much computing capacity to purchase in advance.
Shinn estimates that purchasing only 2 times the current computing capacity would last approximately 1 weeks, while purchasing 5 times would be fully consumed in under 3 weeks.
The original article states that many computing resources must be reserved months in advance, and the price of adding capacity on short notice may be 3 to 4 times higher.
Shinn estimates that even if the daily growth rate declines to 5%to 8%, after sustained growth for 3 to 4 months, capacity may still need to be prepared for a user base of 100000000 users.
Shinn said that each additional user of an individual Agent continuously consumes substantial model inference.
Shinn said Instinct’s current scaling pace is even faster than similar situations previously encountered by Claude Code and Codex.

AI-assisted interpretation

The following is analysis, separate from reported facts. Verify important claims independently.

Instinct’s challenge is that user growth is rapid, but computing capacity cannot be purchased on demand. Buying too little in advance may lead to rapid exhaustion, while buying too much requires substantial upfront costs; the reservation cycle for additional resources may also coincide with the period of rapid business growth.

Why it matters to readers

This reflects that as individual AI Agent rapidly add users, they must not only process more requests but also bear ongoing model-inference consumption; therefore, the timing, scale, and cost of computing-capacity procurement may affect service expansion.

Beginners can understand computing capacity as AI the computational resources required to operate a service. The report illustrates why rapidly growing AI products may face both resource shortages and pressure from over-procuring in advance.

Risks and unknowns

User growth rates, computing-demand figures, procurement cycles, and pricing data all derive from media accounts of Noah Shinn’s statements; the original article provides no company announcement or third-party data verification.
The original article does not specify whether “user base” refers to registered users, active users, or another measurement basis.
Based on 100000000 user scale, the computing power prepared is Shinn's estimate and does not indicate that this user scale has already been reached.
The original source did not disclose the actual scale of computing power procured by Instinct, its total cost, or its revenue.

Instinct users grow by approximately 10%daily, driving computing demand close to doubling weekly; founder cites reservation and cost pressures in scaling

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