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 🙂

@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.

@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

@artyom_zhuravlev We set up a CRM system as part of the full-service plan that contains your entire investor funnel, organized by stage, status, and engagement. It's designed specifically for fundraising workflows, not generic sales.

@artyom_zhuravlev We have the CRM in the system, that is fundraising-specific and contains info about investors and leads for the outreach. If you already have a workflow, we use that context during onboarding so existing conversations don't get duplicated.

@artyom_zhuravlev Appreciate the support!

@xanderiang You should have your deck ready. We focus on getting it in front of the right investors, not on creating the pitch itself. That said, because our team has reviewed thousands of decks, we often give feedback on positioning and messaging during onboarding. But our core value is the distribution machine, not deck design.

@xanderiang Thanks for the ask! A working deck has to be in place before outreach starts. We can flag obvious conversion issues in positioning or the ask, but we're not trying to replace a deck design or strategy process.

@okhlopkov That comes up regularly. We show the reasoning behind the list, then founders can approve, remove, or challenge targets before outreach starts. You can also add your investor list to the outreach campaign.

@smetanka Yes, the lighter network analysis plan is built for that. It maps your existing connections to relevant investors and gives you a more focused funnel without running the full outreach campaign.

@smetanka Research-only is supported. The lighter plan exists for exactly that: mapping the network and seeing where the funnel sits before deciding how aggressive to get.

@smetanka Appreciate the support!

@smetanka thanks for the support Alex!

@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 🙂

@systerr Appreciate the support!

@systerr Really appreciate it!

@systerr Thanks, means a lot!