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Repilot – AI SDR targeting companies with buying signals

  • 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 companies

  • AI writes personalized cold emails — unique angle per company based on their specific signal

  • Every 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?

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Repilot
  1. 1

    Not fooling yourself, the signal is real, but I'd push on the "raising rounds" leg specifically since I've been heads-down on exactly that data source for a side project. If you're pulling funding signals from press/news coverage, you're missing a lot: a large share of actual raises (smaller rounds, non-VC-backed) never get a TechCrunch-style writeup at all. The primary source is SEC Form D filings, filed within 15 days of first sale, public, and it catches raises before most funding-news aggregators do. Worth checking whether your funding signal is press-derived or filing-derived, that's the difference between finding out 2 weeks late like everyone else and actually being early. Agree with Aryan's point on hiring/launch signals though, those are much noisier as buying-intent proxies than a funding event, which is a hard, dated, public fact.

  2. 1

    The hardest part here isn’t detecting signals — it’s whether those signals actually map to buying intent or just correlated activity.

    A lot of systems look strong early because they’re picking up real motion, but not necessarily real intent to purchase.