Fundraisly - AI fundraising agent that finds investors and books meetings

@annmast The most painful part was realizing I was pitching product features instead of the underlying insight. Investors don’t fund what you built — they fund why the problem is structurally unavoidable. Took me longer than I’d like to admit to learn that distinction. Congrats on the launch, Anna!

@annmast Good luck :)

@annmast good luck! 🤞

@annmast Very cool! Would be great to know how your data is sourced, would pitchbook, dealroom, crunchbase etc have similar data?

@userio_neimio It depends on the plan, but with our full-service plan, infrastructure setup takes 2 weeks. After that, meetings start flowing in. In one campaign, a founder had 16 calls locked in during the first three days, including a conversation with the Andreessen Horowitz team within 25 minutes of outreach going live.

@userio_neimio For full-service campaigns, setup usually takes a couple of weeks before meetings start appearing. The exact timing depends on targeting, deliverability, and how ready the materials are.

@userio_neimio Appreciate the support!

@userio_neimio Thanks man! Fast and furious, as they say 🙂

@andrasczeizel All of the above, but the magic is in how they're weighted together, not treated as separate filters.

We start with the hard constraints: stage, geography, check size, and sector. That cuts the 300K+ universe down to a realistic pool. Then the second layer: recent deal velocity in your specific sub-vertical, partner-level thesis (different partners at the same fund can have completely different conviction areas), and timing signals like fund age and deployment pace.

Then there's a third layer that most tools miss entirely: warm path proximity. A perfectly matched investor you can reach through two degrees of your network is worth 10x a cold contact with identical criteria on paper.

@andrasczeizel Appreciate the support!

@andrasczeizel Thank you - that's exactly what mattered to me as a founder too

@ansari_adin Fair point, and worth saying out loud because founders genuinely lose sleep over this.

VCs are processing hundreds of emails a week. A well-crafted cold email that doesn't land isn't a reputation event, it's just noise that passes through. They won't remember it, and they certainly won't hold it against you when you reach out again with a warm intro six months later.

What actually ruins a founder's reputation in the VC community is dishonesty, inflated metrics, misleading decks, P&L that doesn't hold up to scrutiny. That travels fast and sticks. A cold email that didn't convert? Nobody's talking about that at a partner meeting.

The other side of this: we're not sending several emails a day to the same investor. The sequencing is measured, spaced out, and stops the moment there's a reply. And the target list is built for accuracy, if an investor isn't a genuine fit, they don't make the list in the first place.

Outreach done right is genuinely the safest part of the process 🙌

@ansari_adin Ansari, curious how Anna’s answer landed for you - does it address the concern?

@ansari_adin VCs receive hundreds of emails per week, so a cold email that doesn’t convert is usually just noise and won’t affect future outreach. Reputation risk comes from misrepresentation or inaccurate data, not unanswered emails, and our sequencing is controlled, stops on replies, and is sent only to well-matched investors.

@millwiller For investors, we run automated analysis on their completed deals, not their stated thesis, which is often outdated or deliberately vague. What sectors did they actually back? What stage, check size, business model, and geography patterns emerge from their real portfolio? A fund that says "we invest in enterprise software" but has 60% consumer deals in their last 20 investments tells you something their website never would.

And you're right about the contact layer too, matching to the right fund is only half of it. We go to partner level, mapping which specific partner has the relevant thesis 🚀

@annmast  @millwiller Anna covered it well. Real respect for the depth of the question💪

@annmast  @millwiller Thank you Will! We analyze investors based on their actual completed deals rather than stated thesis, since public positioning is often outdated or imprecise. This includes portfolio patterns across sector, stage, check size, business model, and geography.

@valeriiavramenko Response rates vary by sector, stage, and timing, but our outreach consistently outperforms what founders do on their own, typically by 3-5x. The reasons are dedicated sending infrastructure, personalized scripts, warm-up, and AI-matched targeting.

@valeriiavramenko Usually, it's more than 50% open rates, and investors tend to reply to the founders' emails because they need to have the inbound flow.

@ada_johnsen We track activity signals, not just historical categorization. That includes: recent deal flow (what they've actually closed in the last 6–18 months), fund lifecycle stage (are they in active deployment or winding down?), partner-level activity (which specific partner is leading deals in your space right now), and public signals like LP updates, portfolio announcements, and conference participation.

The output isn't "this fund has fintech in their thesis", it's "this partner closed two B2B fintech deals in the last 8 months and is speaking at a fintech event next week." That's the difference between a cold list and a warm target.

@ada_johnsen Anna took the smart part - I’ll take the easy one and say thank you for the interest 🙂

@ada_johnsen Thank you for your support! We focus on real-time activity signals rather than static fund categories, including recent deals (last 6–18 months), fund lifecycle stage, partner-level investment behavior, and public indicators like portfolio updates and event participation.

@rajagopalanar Thank you! Deliverability is one of those things that looks invisible when it's working and kills a campaign when it's not.

A few things we do: dedicated sending domains per campaign, proper SPF/DKIM/DMARC setup, gradual mailbox warm-up before any volume goes out, and send volume pacing that stays well within inbox provider thresholds.

We also monitor bounce rates, spam complaints, and reply rates in real time and adjust if anything looks off. The goal is that every email looks like it came from a real person who thought carefully before sending, because the best deliverability signal is an email that actually deserves to land in the inbox.

@rajagopalanar Appreciate the support!

@rajagopalanar Thank you for your support! I hope Anna's answer helped you deal with the deliverability issue.

@rutkovskyi We don't have a CRM built into the product. However, we share all reports via Google Sheets, which you can use as your CRM to track outreach and investor interactions.

@rutkovskyi Hi Anton, we don't have a built-in CRM. Instead, all investor reports are delivered via Google Sheets, which can be used to track outreach, manage investor interactions, and maintain your fundraising pipeline in one place.

@rutkovskyi thank you for your support!

@karimbenkeroum  Great question! Transparency here matters a lot to us.

We connect Gmail, Outlook, and LinkedIn to build the relationship graph. For Gmail and Outlook, we analyze metadata and communication patterns (frequency, recency, responsiveness). We're CASA certified for our Google integration, which means our security practices have been independently audited and verified.

For LinkedIn, we work with a GDPR-certified third-party service to handle that connection, so data handling there meets the highest European privacy standards.

@karimbenkeroum Privacy really matters here. The team is very serious about it.

@karimbenkeroum We do care about privacy; that matters a lot for us. Anna handled that question very well.