Parsers VC

AI predicting funding rounds based on startup or VC website

5.0•3 reviews•

525 followers

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AI-based Predictive Investments by Parsers VC predicts funding rounds based on 26 parameters. Startups will receive a list of VCs that invest in it. VCs will receive a list of startups that are suitable for Investment Attractiveness. All you need is a website!
This is the 2nd launch from Parsers VC. View more

Venture Matching

Tinder for venture capital
AI-based Predictive Investments and Venture Matching platform. We provide a hot intro for the best deals of startups and VCs based on 26 parameters. Add a startup or VC website and select the best match from the PI list. We'll connect the pair by email.
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Venture Matching gallery image
Venture Matching gallery image
Venture Matching gallery image
Venture Matching gallery image
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Launch tags:Venture Capital•Artificial Intelligence•Fundraising
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What do you think? …

Eugene Hurynovich | Parsers VC
Maker
📌
Hey Guys, It's a big day, we're launching Venture Matching for everyone. The latest startups and venture funds have already been added to the Predictive Investments and Venture Matching platform. We track funding rounds and constantly train AI to predict the best deals for you. Now there are 19,000 venture capital funds and 700,000 startups on the platform. About 300 VCs and 15,000 startups are added every month. You can check your startup or VC fund and add it (if it's not already in the database). We recently launched Predictive Investments and have received a lot of feedback thanks to you. The most important thing that was missing was the ability to connect with startup founders or partners, principals, associates from venture capital funds. Today we start matching with one button. Just click Like and we will make you an intro. Venture matching works on the Tinder model. Startups pick VCs from a list of predictions, and VCs pick startups from a list. If both click Like, then we make an intro by email. What to do? 1. Add a startup or venture fund website (if not already in the database) 2. Like a venture capital fund or startup from a selected list 3. We will make a hot intro with partners, fund principals or startup founders
Daniel Zaitzow
@gurinovichevgen Just reached out on LinkedIn - Eager to connect and learn more!
Eugene Hurynovich | Parsers VC
Maker
Garen D Orchyan
Emma: AI Food Scanner
@gurinovichevgen Looks great, congrats on the launch and best of luck!
Anthony Lancaster
@gurinovichevgen Congratulations! Great product and perfect implementation! Looking forward to starting to use it on a scale. ✌️
N Firmansyah
@gurinovichevgen congrats on the launch! the product looks so promising
Dmitry Titov
Looks like House of Pitch for VC?
Eugene Hurynovich | Parsers VC
Maker
@ititov_agency our main goal is to make an intro with the right investors!
Dmitry Titov
@gurinovichevgen 100% guarantee?
Eugene Hurynovich | Parsers VC
Maker
@ititov_agency for some venture capital funds, we predict 100% investment.
Hay Day
Kirill Sokol
Exciting to see an AI-based Predictive Investments and Venture Matching platform! The idea of using 26 parameters for the best deals between startups and VCs is a solid approach. 🚀 Selecting matches from the PI list simplifies the process. I'm curious, what inspired the choice of these 26 parameters, and do you foresee incorporating additional criteria as the platform evolves to enhance matchmaking precision?
Eugene Hurynovich | Parsers VC
Maker
@malkielfalcone Thank you! We experimented with different parameters for the AI and chose these 26 to start with. Adding new parameters did not make a significant difference, so we added machine reinforcement learning. But of course we will be adding a lot more parameters.
Crustdata
Congrats team Venture Matching by Parsers VC on the launch!
Eugene Hurynovich | Parsers VC
Maker
@manmohit thank you! If you have questions about matching, feel free to write!
Hiro - Atsuhiro Teshima
Congrats on the launch ParsersVC team! This will also be a good resource for researching startups. I thought it would be great if there's small CRM to list VCs or add notes.
Eugene Hurynovich | Parsers VC
Maker
@atsuhiro_teshima This is a great idea, we were thinking about integrating Notion with venture partner cards.
Daniel Zaitzow
Congratulations on the launch of Venture Matching, @gurinovichevgen! Cool to see Parsers.vc bridging the gap between startups and venture capital funds through your platform. With the robust database and (dating-app-like matching) - It looks like you're simplifying the networking process in a neat way. How do you plan to enhance the accuracy and relevance of match predictions as your platform continues to expand? And something I have always been curious about in the space is how tight has VC funding been given the current interest rate situation and do those rates really affect the capital pools on the table?
Eugene Hurynovich | Parsers VC
Maker
@dzaitzow Thanks! We want to significantly increase the accuracy of predictions with the help of additional training from startups and venture funds. The more likes and dislikes there are, the better the algorithm will learn. We also want to significantly expand the number of parameters by which we will predict rounds. Unfortunately, I cannot predict how the venture market will grow.
Daniel Zaitzow
@gurinovichevgen haha yea If you told me you were able to predict market conditions I might call your bluff! Really cool and that makes a ton of sense re: more input data/training = better predictions etc.
Eugene Hurynovich | Parsers VC
Maker
@dzaitzow right, no magic, just a lot of data and machine learning with reinforcement.
André J
DiffSense
Getting: "Predict Investments and Venture Matching 0" I guess this tool is for later stage invests. Series a,b,c etc ?
Eugene Hurynovich | Parsers VC
Maker
@sentry_co It also works well in the early stages of pre-seed and seed. We also analyze indirect indicators, such as the biography of founders, mentions in the media etc.
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