Fundraisly is a smart and highly focused fundraising tool for founders who want a more structured way to reach investors. It combines investor discovery, warm introduction mapping, and outreach automation into a single workflow that helps reduce the manual effort behind fundraising. What I like most is that it does not try to replace the founder’s role in the process — it supports the parts that are usually slow, repetitive, and hard to scale. The product feels practical, relevant, and clearly designed around a real pain point for startups.
My recommendation would be to keep strengthening the product’s credibility through clear case studies, transparent results, and founder-first messaging. Overall, Fundraisly looks like a well-positioned solution for teams that want to spend less time on fundraising operations and more time on meaningful investor conversations.
Zlata
Hey Product Hunt! 👋 I'm Anna, founder of Fundraisly.
I spent 2.5 years as an investment analyst at $600M+ AUM VC Fund, portfolio includes 10 unicorns. I reviewed thousands of pitch decks — and saw firsthand how broken fundraising is. Brilliant founders wasting months cold-emailing the wrong investors. Meanwhile, the right ones were just sitting in databases nobody knew how to use.
So I built what I wished founders had when they came to us: an AI agent that analyzes 300K+ investors and millions of deals to find exactly who's active, relevant, and likely to respond — in minutes, not months.
The results blew my own expectations:
🎯 60–70% open rates. We only reach investors who are actively investing in your space, not generic cold lists
📞 On average, founders conduct 20-40 qualified investor meetings within the first 90 days with funds actively investing in their space
💼 3k+ VC calls conducted in last 6 months with funds like a16z, Sequoia, Index Ventures
💰 $100M+ raised for founders through the platform
Fundraisly isn't a CRM or a database. It's an AI agent that does the entire investor research, outreach, and follow-up for you — so you can focus on building your company.
I'd love your feedback — especially from founders who've been through the fundraising grind. What was the most painful part for you? Happy to answer any questions! 🚀
@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!
@dani_mashael Features are just the answer - investors want to see you've diagnosed the disease, not just the symptoms. That structural inevitability is exactly what Fundraisly is built on: the way fundraising is broken isn't a product gap, it's a systems problem. That conviction is what got us here. Love the perspective, thanks for the kind words on the launch! 🙌
@annmast @dani_mashael So true, and it's a hard lesson because building something real makes you want to talk about what it does. The shift from 'here's the product' to 'here's why this problem exists' is a mental model switch, not just a messaging fix. Appreciate you sharing that - I see it so often with my Client, too. Once you unlock it, that's when the magic happens ;)
@annmast good luck! 🤞
@annmast Very cool! Would be great to know how your data is sourced, would pitchbook, dealroom, crunchbase etc have similar data?
@faizanlaghari Great question! And yes, we pull from multiple sources including the ones you mentioned. But they're inputs, not the product.
The difference is what happens after the data is collected. Those platforms give you a database to search manually. We run it through an AI layer that scores and ranks investors against your specific company profile, filters for active deployment signals, and maps warm paths through your personal network on top of that.
So a founder using PitchBook still has to figure out who's relevant, who's currently writing checks, and how to get in front of them. Fundraisly answers all three and then executes the outreach. It's less "better database" and more "the work that used to take weeks, done in minutes." 🚀
@annmast @faizanlaghari Faizan, Anna covered it beautifully - here to say thank you for the support :)
what happens to a founder's reputation with investors if the outreach volume is high and the targeting is off. investor networks are small and word travels. a founder who sends 200 poorly targeted cold emails through an AI agent can do real damage to their chances before they ever get on a call. how are you thinking about the downside risk of scale outreach in a community where relationships and signal matter more than volume
@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?
@dave_waiser fair response from anna. the targeting accuracy claim is the one that matters and that's something you'd have to test to verify. the point about dishonesty being the real reputation killer is correct and worth keeping in mind regardless of which outreach tool you use
@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.
@annmast Cool idea! Seems very useful assuming the methodology used to assign potential investors to your relevant vertical is sound (i.e. the categorization your own vertical needs to first be correct and then the categorization of the investor's vertical needs to also be correct). How exactly are you doing that? Are there automated analyzes done on an investor's completed deals that properly categorize those companies relative to the profile of your own? The largest waste of time in my opinion is not necessarily obtaining contact info or sending the email but ensuring the person I am emailing is actually an appropriate person to contact.
@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 Perfect, sounds like the right approach!
@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.
Create an MCP server so founders and VCs can let their agents do that matching.
Love how sharp the positioning is — "not a CRM, not a database" is the line most fundraising tools fail to draw clearly.
Curious about one thing: how do you handle the signal decay problem? A fund that was "actively investing in fintech" 6 months ago might have just closed their pocket, and the public signals (portfolio adds, partner tweets, LP letters) lag reality by a quarter or two. Is the agent re-scoring investor activity continuously, or is it more of a snapshot at outreach time?
@maple_shaw Really sharp question - signal decay is probably the most underrated problem in investor intelligence, and you're right that most tools just ignore it.
Honest answer: public signals do lag. A partner tweet about "excited to back fintech" is often a post-facto announcement, not a leading indicator. We can't fully escape that.
What we do: the agent runs continuous monitoring rather than a point-in-time snapshot - it's re-scoring investor activity on an ongoing basis as new signals surface (portfolio page changes, co-investment patterns, public statements, job postings at portfolio companies, etc.). So by the time you're ready to reach out, you're working off the freshest available read, not a 6-month-old crawl.
@maple_shaw Thanks for the question! Public investor signals often lag real activity, so a partner tweet or public statement is usually a trailing indicator rather than an early signal. To reduce this problem, our agent continuously monitors and re-scores investors using fresh data sources such as portfolio updates, co-investment activity, public statements, and hiring patterns, ensuring outreach decisions are based on the most current available intelligence rather than outdated snapshots.
Nice launch! You say it's not a CRM, so do I still need a separate one for my pipeline?
@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.
I like that Fundraisly focuses on active and relevant investors, not just “more contacts.” That feels much more useful for founders (or at least for me).
Curious how you decide which investors are actually a good fit for a startup. Is it mostly based on past deals, current activity, stage, geography, or all of these together?
@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.
Fundraisly
Thank you Aira, for using Fundraisly and your kind words! Appreciate it