Fundraisly - AI fundraising agent that finds investors and books meetings

Fundraisly: ultimate AI agent for fundraising. It analyzes 300K+ investors and millions of deals, identifies the relevant ones actively investing in your space, maps warm paths to them from your own network, then covers the rest with targeted cold outreach. The result: 20-40 qualified investor meetings. Built by founders who raised over $1B.

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Best

Congratulations. And happy product launch.

 Thanks for the kind message!

   Thanks a lot!!

 Thank you for your support!

 Appreciate your support!

Looks quite cool for founders! Good luck

 Thanks, means a lot!

 Thanks for checking it out Divesh! That means a lot

 Appreciate your support!

How deep does the pitch deck feedback go?

 It's not a redesign service, but our team has reviewed thousands of pitch decks from the investor side. If something will hurt conversion, like an unclear ask, weak positioning, or messy financials, we flag it. Think of it as a practical conversion check before distribution.

 Our team flags issues that could hurt conversion, such as unclear asks, weak positioning, or messy financials.

Not seeing how this is different from Visible or Foundersuite tbh.

 The overlap on the surface is real because fundraising still needs tracking. The difference is that those tools help you manage a fundraise you are already running, while Fundraisly builds the target list, runs outreach, handles replies, and books calls. Visible's strength is post-meeting tracking and investor updates; we focus on getting qualified meetings onto the calendar.

 Visible is what you open after meetings happen. Fundraisly is what helps make the meetings happen. They sit at different points in the same process, so for a serious raise they can be complementary rather than mutually exclusive.

Do follow-ups go out automatically? That's where a lot of outreach starts feeling robotic.

 Yes, follow-ups are automated, but that's exactly where we put the most work in to make sure they don't feel that way.

The sequences are written per campaign, not pulled from a generic template. Timing, tone, and content are calibrated based on the investor's profile, thesis, and recent activity, so each touchpoint feels like a considered follow-up, not a drip sequence.

We also monitor replies in real time. The moment an investor responds, they're pulled out of the sequence and handed off for a human conversation. No one gets a follow-up after they've already replied.

The goal is that an investor reads it and thinks "this founder did their homework", not "this is a mass campaign."

 Nikita, curious how Anna’s answer landed for you?

 Hi Nikita, great question. We do it automatically, but we personalize the emails and set the outreach campaign in a way that looks totally personal.

Skeptical about quality, ngl. Used a similar service last year, won't name names. They booked 12 meetings, but 8 were with associates at funds that did not invest at the stage or check size we needed. By the third call I was burning founder time just to hear "too early for us." How are you screening for stage fit beyond what a fund says on its website?

 That's exactly the stage-fit problem we try to avoid. We don't rely only on what a fund says on its website; we look at recent investments, check-size patterns, partner activity, and whether similar companies actually got funded. The outreach also includes your deck and context, so investors know why they're being asked to take the call.

 Ha, yes - exactly the pain. Curious what your honest read would be if you ever try Fundraisly.

 I just wanted to add that instead of relying on website stated preferences, we evaluate recent investments, check sizes, partner activity, and actual funding patterns for similar companies.

A very interesting AI business app!

Good luck!

 Thank you very much! Your support means a lot 💙

 Really appreciate it!

 Appreciate your support!

If I use you for Seed, can I come back for Series A with the same data?

 Your CRM, relationship history, and network map carry over. For Series A we rebuild the funnel with growth-stage funds, but all Seed context, who passed, who said 'come back at A', is valuable.

 When you move to Series A, we reset the funnel for growth-stage investors, but all prior Seed signals (who passed and who asked to reconnect at A), remain highly useful context.

Looks like an amazing products !
do you also serve other industries thank the tech space ? Hospitality for example?

would be intereted then !
Best

 Great news, our database covers 300K+ investors and several million portfolio deals, which means we have virtually every investor, deal, and market represented, including hospitality, across all stages and geographies. So yes, we absolutely work with hospitality startups.

Happy to dive into your specific case and give you an honest evaluation of what we can do for you. Reach out directly at and we'll take it from there! 🚀

 Appreciate the support!

Really interesting - curious how you handle the warm path mapping when someone's network is mostly in a different industry. I'm coming from institutional finance/tax consulting, so my warm connections are mostly family offices and healthcare executives, not traditional tech VCs. Does the system weight domain-relevant investors even when they're not traditional tech VCs? Congrats on the launch

 Really relevant question and actually a more common situation than most founders admit.

A few things work in your favor here. Family offices are a significant part of our investor database and many are actively deploying into tech, especially at early stage where ticket sizes align. So your existing warm connections to family offices aren't a liability, they may be direct paths to capital that's less competitive than traditional VC.

Healthcare executives as angels or check-writers is also a pattern we see a lot in healthtech, medtech, and enterprise SaaS with healthcare verticals.

The system doesn't penalize domain mismatch, it maps your warm paths as they are, then supplements with targeted cold outreach to traditional tech VCs where your network has gaps. So in practice you'd be running two tracks in parallel: leveraging your existing institutional finance connections where they're relevant, and building new warm paths into tech VC through the LinkedIn expansion layer.

 Appreciate the support!

  appreciate you taking the time to understand the nuance here - and thank you for the support.

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