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- This prompt spies on your competitors weekly
This prompt spies on your competitors weekly
What their job board quietly reveals
Most people open Claude, type a question, then close the tab. That is the whole relationship. A builder on r/PromptEngineering looked at that habit and saw something wasted.
The creator turned Claude into an agent that runs every Monday at 8am. It checks competitor sites, scans announcements, hunts for pricing changes. One brief lands before the week starts.
The GTM bets that shouldn't have worked, and did
One grew revenue 50x after half his team quit over the strategy. One brought in 50K signups in a single day with no paid budget. One generated 100M+ views from a stunt that took 50 hours to conceive. One asked every prospect to demo the product themselves instead of demoing it for them.
None of them followed the safe playbook. They treated GTM like an experiment, moved before they had proof, and made bets most founders would never get approved.
HubSpot for Startups documented all 6 stories in the free Bold Bets Playbook. The risks they took, why it was risky, and what it returned.
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The Old Way Is Reactive
Manual checking means you only look when something pokes you. A customer mention, a Slack ping, someone on a call saying they just launched X. By then you are already behind.
I think this is the quiet cost nobody measures: a pricing change ran for two weeks before you noticed, or a free tier vanished while you pitched against it. The problem is not laziness: it is timing. You look when prompted, never on schedule.
One Prompt, On A Schedule
The new shape is simple: one prompt, autonomous, same depth every single week. The agent does the reconnaissance. You read the output Monday morning over coffee.
What struck me is the compounding effect. After three months of weekly briefs, patterns surface that no single check reveals: a rival that ships monthly suddenly goes quiet for six weeks. That absence is a signal. Manual checking never hands you that longitudinal view.
Say user_id. Get user_id.
Wispr Flow recognizes variable names, file references, and framework syntax mid-dictation. Speak your prompt, get developer-ready text for GitHub, Jira, or your editor. No mangled syntax. Ever.
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The Signal Most People Miss
Here is the part that sold me: job listings. What a company hires for tells you what it is building before it says a word in public. The author treats the job board as a roadmap, posted openly, that almost nobody reads.
Think about what specific roles signal. A Head of Community hire means a shift to product-led growth. An Enterprise Account Executive after years of SMB focus means they are moving upmarket. A sudden cluster of ML engineers means something is about to ship.
How To Build It
The structure stays clean: list your competitors, name what to check across pricing, features, content, press, and job listings, then ask for a changes summary plus the single thing that matters most. Schedule it for Monday 8am through Claude Projects or any scheduler. Cron, Zapier, Make: all work.
One tuning note from the contributor: be specific. Notion returns generic noise. Notion's AI features and recent product blog returns something you can act on.
If you want the exact prompt and the full walkthrough, read the original write-up.
This is a smart approach for staying two steps ahead without burning two hours digging every week. If you want to see the full breakdown, check out the original article.
Credits to u/Professional-Rest138 on r/PromptEngineering.
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