Unicorn Nest Pitch Deck NOV 2020

1. We recommend the most relevant investors
from a comprehensive, verified and constantly
updated database for startups, and build an
effective workflow for the fundraising process.
Unicorn Nest
Denis Dovgopoliy
denny.do@gmail.comunicorn-nest.com

2. We set industry standard for venture capital for
fundraising and investor relations as a continuous
process, from the first institutional rounds to the
exit to affect the $500B capital market.
Vision

3. - Founders' core competencies lie in building and expanding businesses, not raising
funds.
- Most famous VCs are overloaded by deal flow and due diligence.
- Startups are forced to allocate a large number of resources towards VC reporting
systems at the expense of funding their own operations.
Problem
Fundraising is a complicated and resource-
intensive process for startups.

4. Big Picture
Traditional methods are no longer applicable for
today's funding landscape.
Sources: Reaction Wheel, USSBA, HuffPost, InnMind, TheFunded, VentureBeat

5. Capital Market $350B in 33k deals (all rounds raised at 2020, annual growth 17%
during last 20 years).
PAM - $12B total spent for fundraising (consultants, IB, legal, travels, services etc.)
by startups.
TAM - $4B total spent for Linkedin, Crunchbase, Pipedrive, investors, advisers bases
and other products to support fundraising now.
SAM - $1B (up to 20% of all startups in fundraising process can spend $1000 per
annum for our products).
SOM - $200M (potential of Annual Revenue in 7 years).
Market for Problem

6. Unicorn Nest is a SaaS that recommends the most relevant investors from a comprehensive,
verified, and constantly updated database for startups looking to raise seed, series A and B
funds.
Value proposition: save your time with good false negative/false positive ratio and prioritise
your resources on fundraising process.
Scoring: Funds (founding date, # of deals, # of exits, # of unicorns), Geo (geo of funds, geo of
portfolio, geo of birth, study, work)
Magic: We can show “invisible” investors
Matching: Industry, Amount, Geo, MRR, market, biz model etc
Product: Value
UN for startups: $150 for 150 hrs & relevant list

7. Search
+ Info about
startup, CRM
+ Using CRM, AI
Product: Involvement
20202020
20212021
20232023
Longlist (100 - 200) of
most relevant investors
Shortlist (20 - 50) of funds
+AI, matching
Most relevant funds (up to
20) + communication
improvement
More involved - finer selection & communication

8. Search
Pay-as-you-go
+ Info about startup, CRM
Subscription
+ Using CRM, AI
Transaction fee
Business model
20202020
20212021
20232023
Longlist (100 - 200) of
most relevant investors
Shortlist (20 - 50) of funds
+AI, matching
Most relevant funds (up to
20) + communication
improvement
Finer selection & communication - more involved

9. Data collection is carried out in 2 ways:
Automated tools: Web-spiders collect
structured information from the web: VC
data providers, social networks, regulatory
filings
Semi-manual ML-empowered tools: A team
of junior analysts using our own software
enriches the dataset with extra data from
unstructured sources.
Data collection

10. Our targeted ecosystem provides the consistent work of such elements: A flock of web spiders
(I) that collect data for our dataset (II). User interaction with our database using our matching
rules (III). Reaching relevant investors (IV) through the built-in IRM. Receiving feedback from
them, which is also aggregated into our dataset (V).
UN data ecosystem

11. Competitors

12. Where we are now
Existing dataset: 38k funds, 250к deals, 46k startups with proprietary methodology of analysis
and the first version of AI.
Unicorn Nest is already available, with hundreds of paying customers, and twofold monthly
growth since March.
Our Detailed Fund Profile & Analytics, Media portal is running (9,000 MAU).
10,000+ downloads of Unicorn Nest Fund Dataset (publicly available dataset of 26000 funds).
Successful Product Hunt campaign (top 3 product of the day with 1200+ upvotes).
Established Unicorn Nest s.a.r.l (Luxembourg), BIL Bank Account, Business permits, R&D
accrediation, residents of Luxembourg House of Financial Technology (since March, 2020).

13. Initial $300,000 funding – Founder’s contribution.
Angel seed round of $250,000 - recognition from Ukraine’s Angel Investors side.
USF Seed Grant of $50,000 - recognition from Ukrainian government side.
Lux House of Financial Technologies (LHoFT) membership - recognition from Luxembourg
start-up community.
One of only 100 companies in Lux with R&D Accreditation - recognition from the Ministry of
Economy of Luxembourg.
Next milestones coming soon
Recognition

14. Timeline

15. Revenue projection

16. Use of Funds
Operations €200,000
- AI/ML €250,000
LUX office setup €50,000
R&D
Legal, GDPR, Grants €50,000
TOTAL €1,000,000
We are raising a seed round €1,000,000
(min €100,000 in syndicate)
- Site, IRM €200,000
- Data collection €100,000
Marketing & Growth €150,000

17. Funding Goals
1. Improve Key metrics - DAU, RR, conversions, revenue.
2. Conduct regular updates of our database.
3. Create MSP CRM/IRM and get first traction.
4. Collect data from CRM/IRM workflow and create an MVP of the AI-powered
recommendation system to support the process of fundraising.
5. Use the round as a «matching financing» for grants in Luxembourg and EU (EUR 500K-2M) in
2021-2022. Establish a research center in Luxembourg using grant financing.
6. Prepare to Round A (EUR5-10M) in Q4’2021-Q1’2022.

18. Exit strategy
Marketplace going to IPO
with EUR500-600M MCap or
M&A by strategist (Big IB)
in 7 years in Europe

19. Denis Dovgopoliy, CEO
Victor Zakharchenko, COO
Olexander Udodenko, CIO
Valeria Temple, VP of Business Development
Andrey Khantil, Legal/Administrative
Sviatoslav Sviatnenko, Head of Non Equity Financing
Andrey Dekhtyar, CTO
Vlad Samoletov, Head of Web Development
Anna Scherbak, Product Manager
3 Junior analysts, 3 Journalists/interviewers, 10 Junior Researchers, 5 developers
Team

20. Denis Dovgopoliy,
denny.do@gmail.com
Thank you!
unicorn-nest.com