I take Perplexity Computer for its first real spin and test five use cases that founders can use right now to make money and move faster. I connect my Gmail live, let the AI send cold outreach on my behalf, set up daily competitive intelligence monitoring, research 50 VCs for a mock Series A, and kick off a full investment memo on Shopify, all in a single session. By the end, I walk away genuinely impressed and convinced the $200/month Max plan can pay for itself with one closed deal.
Timestamps
00:00 – Intro
00:35 – What We're Testing Today
02:35 – Use Case 1: Warm Outbound at Scale
15:31 – Use Case 2: Automated Competitive Intel
25:11 – Use Case 3: Investor Pipeline Research (50 VCs)
26:58 – Use Case 4: Turn a Podcast Into a Content Machine
31:39 – Use Case 5: Live Market Diligence (Shopify Investment Memo)
34:17 – Bonus: Additional Use Cases Worth Trying
36:06 – Closing Thoughts and Takeaways
Key Points
Perplexity Computer runs multiple research tasks in parallel using sub-agents, skills, and tools — functioning like a virtual analyst working across the open internet.
The cold outreach workflow found real email addresses, researched each prospect's recent activity, and drafted hyper-personalized emails that reference specific details — then sent them through a connected Gmail account.
Setting up recurring competitive intelligence monitoring (daily reports, weekly sponsor tracking) is where the tool shifts from a one-off assistant to a persistent agent running on autopilot.
The VC pipeline research use case demonstrates how founders who lack a warm network can still build a structured, targeted investor list with fund sizes, thesis alignment, and partner contacts.
At $200/month on the Max plan, the cost pays for itself if even one sponsorship deal or investor meeting closes from the outreach.
The platform already supports connectors for Gmail, Google Drive, Slack, HubSpot, Ahrefs, Reddit, and more — making it a serious contender for centralized founder workflows.
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