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One sentence what it does:
Repilot is an AI SDR that finds companies actively hiring SDRs, raising rounds, or launching products — and sends them personalized cold emails automatically.
Why you built it:
Cold outbound is broken. 0.9% reply rates on static ICP lists because you're emailing people with no urgency, no budget, no problem worth solving. I was spending hours on LinkedIn manually finding signals. I built Repilot to make that automated and continuous.
The signal-based insight:
Companies actively hiring SDRs have open budget and a pressing need to build pipeline. Companies that just raised money are in hiring mode. Companies launching products are in growth mode. These signals = urgency + budget. Repilot detects them and targets companies in that window. Early data from our campaigns shows 8x higher reply rates vs industry baseline (0.9% → ~7-8%).
How it works:
- Define your ICP once (industry, company size, geography)
Repilot continuously monitors hiring, funding, product launch, and expansion signals across your target companiesAI writes personalized cold emails — unique angle per company based on their specific signalEvery reply is classified: interested / not interested / unsubscribe — and meetings auto-book from interested replies
Honest about stage:
MVP. $299/month. 1 email sent so far. Looking for honest feedback — does this solve a real problem or am I fooling myself?
Tech stack (for the HN crowd):
Node.js + Postgres on Render, Postmark for transactional email, Hunter.io for lead sourcing, GPT-4o for signal detection and email personalization. Nothing novel under the hood — just applying existing tools better.
Ask:
Roast my positioning — am I solving a real problem or fooling myself? Is there anyone who actually wants this?
