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Seedstage Notes

From idea to first customers, step by honest step

Validation

First Customers for AI Reliability After a ChatGPT Outage

A ChatGPT outage is a validation prompt, not market proof: find affected users, ask what broke, what they did, what they'd pay, and book a follow-up.

Illustration: First Customers for AI Reliability After a ChatGPT Outage

The outage is a validation prompt, not market proof

Your status page is green, but your prospect's team chat is full of red. ChatGPT, Claude, Gemini and most known Western AI services stopped working around 17:00 and were not fully restored until after 19:00, with Anthropic's Claude the most affected.

Thousands of users reported outages across ChatGPT, Claude, Gemini, Copilot, and Grok. Downdetector showed the incident reaching Groq, Elon Musk's AI, and Amazon Web Services.

OpenAI's official status page showed problems and severe errors in ChatGPT and Codex. ChatGPT was the first service to return to normal operation. For ChatGPT, Downdetector split the reports into 77% for the chatbot, 10% for Codex, OpenAI's coding assistant, and 7% for the app.

Claude was affected across Mythos 5.1, Fable 5.1, Opus 5, Opus 4.8 and Opus 4.6.

A Downdetector review spanned 471 days from Jan. 1, 2025 to Apr. 16, 2026 and included 3.72 million user-reported problem reports for ChatGPT, Claude, Gemini, Microsoft Copilot, AWS, and Microsoft Azure.

OpenAI had the largest raw AI app disruption days in the data, the days with the most reported problems, including 67,567 reports on Dec. 2, 2025 and 55,039 on Feb. 4, 2026. U.S. Downdetector reports for Claude rose from 48,589 in Q3 2025 to 108,694 in Q4 2025 and 314,996 in Q1 2026. The Gemini app had more than 750 million monthly active users by Q4 2025 and more than 900 million monthly users by May 2026, so higher report volumes can partly reflect a larger user base.

The first customer owns a deadline

The relevant audience includes staff who rely on ChatGPT, Claude, Gemini, and Copilot for drafting, research, coding, analysis, and support work, as well as IT groups embedding AI into business processes.

AI reliability failures matter more when AI moves into longer-running agentic tasks, because failed prompts, login loops, stalled code tasks, unavailable files, or broken connectors can interrupt business processes.

Your first customer is the person who had to tell a client that the report was late, the engineer who had to rerun a job, or the support lead who had to answer tickets by hand.

Look for the role that has to deliver, not the role that just uses the tool. A marketing manager who missed a campaign window is more useful than a casual user who lost a chat.

Keep a simple table with columns for person, task, workaround, and number. Fill it before you build another feature.

Five steps turn an outage into a customer

Run the five steps before you spend another week building. They move from pain to workaround, then to money and a meeting.

  • Find affected users: copy names or companies from outage reports, status-page comments, or team chats where people said the tool failed.
  • Ask what broke: send a message asking which task failed and what they saw on screen.
  • Ask what they did: ask how they finished the job and how long the workaround took.
  • Ask what they would pay: ask for a fee they would accept if the failure was prevented.
  • Book a follow-up: end with a demo offer and include a scheduling link in the reply.

If a reply gives you a task, a workaround, and a number, put it in the table and send the follow-up. If it gives you only sympathy, note the role and move to the next name.

A paid pilot proves the fix before you build more

Don't send a deck. Send a note that names the failure they described and offers a narrow fix.

Say you will monitor the same task, alert them when it stalls, and route them to a fallback if the primary tool fails. Charge a small fee for the pilot, and ask for a written note on what changed.

If pilots say the same thing, you have a product. If they say it saved time but will not pay, you have a feature request.

Then build the smallest version that handles the exact failure they named, and ask the next users for the same five steps.

Send the first message today, and put the follow-up on the calendar before you write another line of code.

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