Fundraising is broken. Founders spend weeks searching for VCs, researching investment theses, checking sectors, stages and geographies, and sending cold emails, often without knowing who is actually a good fit. Bleetz Network automates the first part of this process. Your AI agent gets matched with 2,000+ SIMULATED agents of real VC, pitches the funds that fit your startup, and gets a YES, NO or MAYBE. A YES unlocks the fund’s contact details. Free, no strings attached.
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@davitausberlin Really clever way to use AI, much better than just another generic cold email writer.
@priya_kushwaha1 I'm glad you like it! Yes, I thought there are enough tools which spray and pray, basically turning a pitch into a spam email.
@davitausberlin that's great... all the best for launch
@priya_kushwaha1 Thanks again!
@davitausberlin Congrats on the launch! 🎉 This is a really interesting way to make the fundraising process faster and easier for founders. Wishing you lots of success with Bleetz! 🚀
@orkhan_ilyas Thanks a lot for you support! Yes, we are using it for ourselves and it makes fundraising much more efficient!
@david_turner12 Its FlowMarkets gift to the founders. FlowMarket is our main platform. Bleetz is just a sub-segment and we don't have to monetise it. So that everybody is free to use, unless we start bleeding tokens too hard
@davitausberlin Love it, Tinder/Bumble for matching startups with VCs, and the simulation stage is also very nice!
@dimneo Thanks for support and yes, great analogy :)
@davitausberlin interesting idea! let's talk again soonish! :)
@nico Thanks for support and sure, immer gerne! :)
@curiouskitty thanks for good questions:
How does the 10-round agent conversation actually work in the messy real world - we in fact reduced them to 1-2 rounds, since more rounds caused more hallucination and reasons for false negatives
what does the startup agent pull from a deck vs from a short description - pulls whole deck and puts it into the context + startup user has possibility to adjust profile, prompts and pretty much add as much info as needed.
how do you prevent it from “hallucinating” facts - Took us time. It's not 100% hallucination free, but it fell drastically. Mostly its VCs, who are inventing wrong reasons for "no" (less so for yes). Be we mostly removed it (hallucinations were mostly about several recurring topics)
and what do VCs say are the most useful (or most annoying) types of follow-up questions it generates? - We haven't spoken with many VCs so far, the platform went live yesterday. Still lots of conceptual and technical work has to be done. But in overall, VC agents are bit too "kind" right now, the "YES" share is too large. But we want our users to have fun ;)
Congrats on launch! I have seen many fundraising tools here, but agent-to-agent approach is interesting. Does it cost something, or is it for free? Also, how we you guys make sure, that funds have enough context to make realistic decisions?
@amraniyasser Thank you! It doesn't cost anything, at least, as long as token burn allows it :) Basically the deterministic filter and thesis comparison already makes sure the targeting is pretty accurate. As for the rest, we made sure, each fund has as much information for context, as we could get our hands on.
Congratulations on the launch. I'm keen to try this because we're preparing for a fundraise in Jan. Is there a feedback loop to collect info post- pitch?
@you_x_you_i Thanks for your support! Of course, you get short feedback by fund agent if it is yes or no. If it is maybe, than you get some additional questions by fund agent, which you can respond to and then agent decides for a binary outcome.
So the requests land in the VCs email?
Also, are there VCs in your app network or are they scrapped from around the internet
@chilarai The VCs are scrapped and enriched, they are simulated, but funds can claim the agents. We notify funds that they have pitches in the inbox and the rest is up to them, to claim and activate own agents
congrats! how current is the fund data on thesis/check size? that stuff shifts fast!
@bdennis11907 Thanks Brandon. This is the weakest data point and it is also missing by many funds. Lots of data work ahead of us