Latest / The Series A Show with Fexingo: Early-Stage Funding, Pitch Decks, and Startup Milestones / How Startups Are Using AI to Automate Fundraising Outreach
Transcript
- Lucas: SpaceX finally went public yesterday, and the ARK Innovation ETF is up more than six percent in the last five days. That’s not directly related, but it tells you something about the risk appetite in the market right now — investors are hungry for growth stories, and that trickles down to early-stage fundraising. Luna: Yeah, and it’s not just the big names. We’re seeing a surge in seed rounds too. But what’s interesting to me is founders are going about raising that money. There’s a new playbook emerging. Lucas: Exactly. And one trend I’ve been watching closely is the use of AI to automate the entire outreach and follow-up process. I’m not talking about sending a hundred generic emails — I mean smart, personalized sequences that learn from engagement. Luna: Right, tools like Regie.ai or even custom GPT wrappers that crawl a VC’s portfolio and recent tweets before drafting the email. But does it actually work? Or does it just flood inboxes with more noise? Lucas: That’s the million-dollar question. I spoke with a founder last week who raised a two-million-dollar seed round using an AI assistant that managed the entire pipeline — from identifying warm leads to scheduling calls. He said it cut his time spent on outreach by about seventy percent. Luna: Seventy percent — that’s huge. But I wonder what VCs think when they realize they’re talking to an AI, not the founder. Doesn’t that undermine the relationship-building that fundraising is supposed to be about? Lucas: It depends on the execution. The smart founders use AI for the initial data gathering and the first touchpoint, but they always jump in personally before the first meeting. What VCs hate is a generic blast. But if the AI is good enough to craft a message that references a specific tweet from the partner or a company in their portfolio that’s relevant — that actually feels personal. Luna: So it’s about using AI to scale the research, not to impersonate the founder. That makes sense. But I’ve also seen some startups take it a step further — using AI to dynamically adjust their pitch deck based on which investor is viewing it. Lucas: That’s the next frontier. There are platforms now that let you create a deck with modular slides that reorder themselves depending on the investor’s background. If they’re a healthcare-focused fund, the health-tech slide moves up. If they’re a deep-tech fund, the IP slide gets prominence. Luna: And you can track what they clicked on, how long they spent on each slide. That’s data that previously you’d only get from a live pitch. It’s like giving your deck a brain. Lucas: And that data feeds back into the AI outreach system. So now you know which slide got the most attention, and your follow-up email can reference that specific point. It creates a closed loop that feels highly tailored, even though it’s largely automated. Luna: But there’s a risk of over-optimization, right? If every founder is using the same playbook, investors will start to recognize the patterns. They might get cynical about any outreach that feels too polished. Lucas: That’s why the best founders still inject their own personality. The AI is the engine, but the voice has to be real. I think we’re heading toward a world where the baseline expectation is that outreach will be ai assisted — and the differentiation will come from the quality of the insights and the authenticity of the founder’s own voice. Luna: Speaking of quality insights — if you’re a founder building or running a business, and you find these conversations useful, it’s worth mentioning that listener support is what keeps this show ad-free and independent. Lucas: Absolutely. If you’d like to support the work that goes into researching topics like AI fundraising tools and talking to founders on the ground, you can buy us a coffee at buy me a coffee dot com slash fexingo. No pressure, just a way to keep the content coming without sponsorship noise. Luna: Yeah, every bit helps us dig deeper into the trends that actually matter for early-stage founders. Now, back to the automation question — I’m curious about the downside. What happens when a startup raises too efficiently and skips the messy conversations that actually build trust? Lucas: That’s a real concern. Fundraising is partly about the relationship, and if you automate all the early touchpoints, you might miss the serendipitous moments — like a VC sharing a piece of feedback that changes your go to market strategy. Those don’t happen when everything is templated. Luna: So maybe the smart approach is to use AI for the top of funnel — the initial research and the first reach-out — but then shift to high-touch, human-driven conversations once there’s a warm lead. That way you’re not wasting time on cold outreach, but you’re still building real relationships. Lucas: Exactly. And that’s what the best founders are doing. They’re using AI to identify the fifty investors most likely to be interested, craft personalized intros, and schedule meetings — but then they show up themselves, ready to have a genuine conversation. The AI is a force multiplier, not a replacement. Luna: It reminds me of how sales teams evolved. Ten years ago, cold calling was the norm. Then it became about personalized emails. Now, AI is making that personalization scalable. The bar keeps rising. Lucas: And the VCs are adapting too. I’ve heard partners say they now have their own AI assistants that summarize incoming pitches and flag the ones that show genuine understanding of their thesis. So it’s becoming an arms race — founder AI vs. VC AI. Luna: That’s fascinating. So if you’re a founder, you need to think about not just how to get your message past the spam filter, but how to get it past the VC’s own AI gatekeeper. That changes the game. Lucas: It does. The key is to avoid generic language and to include specific, verifiable connections to the VC’s portfolio or recent activity. If an AI can’t tell that your email is personalized, a human won’t either. Luna: Do you have any examples of startups that are building these AI fundraising tools specifically for founders? Lucas: There’s a company called Outreach that’s been around for a while, but in the startup world, newer players like Pocus and Apollo are adding AI layers that go beyond simple email sequences. They integrate with investor databases like Crunchbase and PitchBook to pull in real-time data and suggest the perfect time to reach out based on recent news or funding events. Luna: So it’s not just about sending emails — it’s about timing, relevance, and follow-up cadence. That’s a lot smarter than the old spray and pray approach. Lucas: Exactly. And for early-stage founders who are bootstrapping their raise, these tools can be a lifeline. Instead of spending sixty hours a week on investor outreach, they can spend ten hours on the research and strategy, and let the AI handle the execution. That frees up time to actually build the product. Luna: But there’s a cautionary tale too. I’ve heard of founders who over-automated and ended up sending follow-ups to investors who had already passed, which just annoyed them. So you still need to manage the process. Lucas: Right, the AI is only as good as the rules you set. If you don’t update your CRM and mark who’s out, the system will keep pestering them. That’s a quick way to burn bridges. Luna: So the takeaway seems to be: use AI to scale the boring parts, but keep the human touch for the moments that matter. It’s a hybrid approach. Lucas: Exactly. And I think we’ll see this become the standard within the next twelve months. The startups that master this balance will have a significant advantage in raising capital efficiently. Luna: I’d love to see some data on conversion rates for ai assisted outreach versus traditional methods. Maybe that’s a topic for a future episode. Lucas: Absolutely. If any listeners have run those experiments, we’d love to hear about it. You can reach us through the show notes. For now, I think the message is clear: AI isn’t coming for your fundraising — it’s coming to help you do it better, if you use it wisely. Luna: And with that, we’ll wrap up this episode of The Series A Show. Thanks for tuning in, and we’ll see you next time.