Fundraisly - AI fundraising agent that finds investors and books meetings

@maria_anosova We look at a few different signals. First, we check whether the investor has made any investments in the past year. We also review their profile and recent activity to see if they're actively investing and engaging with new opportunities.

@maria_anosova Appreciate the support!

@veranika_zdanovich They do hate BAD cold emails. That's why we don't send bad ones 😄 We build custom outreach infrastructure (dedicated email domains and inboxes) and craft personalized scripts based on your startup industry and description. We're reaching 40K+ VC funds and decision-makers. The result: investors show up to calls already knowing the deck and ready to talk.

@veranika_zdanovich Investors hate lazy cold email. The point is to make outreach narrow, relevant, and tied to a deck they can understand quickly, not to blast a generic list.

@veranika_zdanovich Appreciate the support!

@protsenkoalexandra 

Thank you! Fair comparison to raise, Carta is a great product, but the overlap is smaller than it looks.

Carta's investor matching is built around their existing ecosystem, it works best if you're already on Carta and connects you with investors who are also active on the platform. It's a network effect play within their universe.

Fundraisly operates outside any single platform. We analyze 300K+ investors and millions of deals across the broader market, map warm paths through your actual network (Gmail, Outlook, LinkedIn), and run the full outreach and follow-up sequence, not just a match, but a managed pipeline through to a booked call.

@protsenkoalexandra Appreciate the support!

@kate_prasniak That's exactly the failure mode we obsess over, because it's where most tools quietly fall apart.

A fund that raised in 2021 and deployed through 2022 can still look "active" in a static database. Their website says they invest in your space. Their Crunchbase profile looks fine. But they haven't written a new check in 18 months and are in full portfolio-management mode.

We filter for deployment activity, not just existence. That means looking at actual deal cadence over the last 6–18 months, cross-referencing fund vintage and typical deployment timelines, and flagging funds that have gone quiet even if their public-facing thesis hasn't changed.

@ayoub_moustaid Really appreciate it!

@ayoub_moustaid Thank you Ayob for your support!

@ayoub_moustaid Thanks so much!

@duyk_me Thanks for checking it out!

@duyk_me Thanks, glad you like Fundraisly!

@duyk_me Thanks, means a lot!

@niksmac Thank you, really appreciate your kind words! Looking forward to helping with your fundraising 🔥

@niksmac Thanks for checking it out!

@niksmac Appreciate your support!

@gelfenbeyn Thanks, means a lot!

@gelfenbeyn Thanks so much, Ilya!

@gelfenbeyn Thank you, really appreciate your kind words!

@_mkcd_ Appreciate the support!

@_mkcd_ Thank you for your support!

@_mkcd_ Really appreciate your support!

@jared_salois We capture pass signals where they're available, sometimes that's explicit feedback from the conversation, sometimes it's inferred from the stage of diligence they reached before going quiet, sometimes it's patterns across multiple investors that point to a specific objection (valuation, market size, team gap).

Honest caveat: investors rarely give written rejection reasons, so we're often working with incomplete signal. But even partial context is valuable, knowing a fund passed at first meeting vs. after a partner call tells you something very different about where you stand with them at Series A.

The carry-over is most powerful when combined with what's changed since the Seed. If a fund passed on traction and you've since 3x'd revenue, that's a re-open conversation. If they passed on market size and your thesis hasn't changed, probably not worth the relationship capital.

@jared_salois Appreciate the support!

@jared_salois Jared, Anna covered this one well. From my side - thank you for the support