4. Processes digital
footprints
Businesses get Individuals get
• executive summary and
credibility rate on
• ratings of 1st and 2nd
degree connections
customers, partners or
employees • comprehensive
• most influential and
valuable customers
summary on anyone
on the web
• desirable and qualified
employees • ability to find experts
among connections
5. 1. 2. Data mining
3. Endorpin’s
Analytical Platform
HOW DOES IT
WORK?
4. Happy user gets
processed data
Scores Personal Summary
6. 1. John needs a VC
USE CASE
for John
2. LinkedIN & Facebook to
endorphin
3. Data mining 1st
& 2nd degree
connections
4. John can work now with
processed data:
– Select Success rating
– Set industry filter to VC
- Explore summaries of top VCs
- Connect with them through
strongest links
7. 1. Airb’n’b needs to check USE CASE
user’s credibility to
for Airbnb
minimize fraud.
For example, discrepancy to reality, damage,
purity, etc.
4. Apply results
to Airbnb DB
2. Give access to its
customers’ information
3. Select
Credibility Scoring
8. 1. Amazon needs to check
USE CASE
customer’s value or
influence to provide them for Amazon
with perks, like special
offers, discounts, other 5. Get the List of
benefits. the Most Valuable
2. Give access to its or Influential
customers’ information customers
3. Select Success Scoring 4. Select the minimum
or Influence Scoring + acceptable score
9. Competitors
People search: Ark – $4,5M seed funding,
250K signups first months
People-
Search
Browsr
Ark
Radian6
Scoring: Klout – $40M funding,
2Bl API calls per month
No search
Kred
Peer
Klout
Index
No Score Only Influence Various Scores
Score
10. score & search vs endorphin
Score Endorphin provides:
★ Summaries on anyone
on the web
★ Ability to perform search
give people their among 1st & 2nd degree
influence score connections by criteria
★ Sort search by ratings:
credibility, success,
Search
ark.com
influence
variety of filters to apply
to FB database.
11. Endorphin business-models
b2c b2b
Freemium Pay-per-API call
Makes money on extra Summaries on employees,
exploring tools and complex clients, partners.
ratings.
Metrics Metrics
Conversion rates: Conversion rate: 25%
- users to views: 70% LTV: $600.000
- paying users to users: 10% Acquisition cost: $9.000
LTV – $350
Acquisition cost – $5.4
12. App Users’ Market
23M active* LinkedIn users
* active (at least 1 visit per day) LinkedIn users
with 500+ connections (super-connected) are
our Target Audience as people that care the
most about their professional network.
$552M – in condition of 70% conversion rate,
10% paying users and average bill
120$ per paying user a year
13. Business’s Market in U.S.
Banking – $880M
In condition of 220M credit-active consumers in 2012,
4 loan’s categories and average cost-per-score/
summary $1
E-commerce – $524.3M
In condition of 149,8M online-buyers in 2012,
7 buying categories and average cost-per-score/
summary $0.5
Airlines – $192.6M
In condition of 642M airlines’ clients in U.S. in 2012
and average cost-per-score/summary $0.3
14. Roll-out
Marketing: HR:
• PR (Press Release, News letters, • PR-manager
Conferences and Events)
• Sales Manager
• SEO (Google Adwords, Web-site
optimization) Stages:
1. Launch MVP
• Social Media (Facebook Ad, Public 2. Test basic product hypotheses
Pages, Viral)
3. Proof of basic product hypotheses
• App Promotion (Feedback rating
management. Top-25, Editor’s 4. Start PR, App Promotion, Social
choice) Media and E-mail Marketing
5. Test marketing hypotheses
• E-mail Marketing (CRM, updates,
news e-mail delivering) 6. Apply changes to Promotion
strategy
• Direct Sales to Business
7. Launch Release 2
15. MVP Launch
Hypotheses: Metrics and Deliverables:
(per week)
• People are interested in ratings of
their 1st and 2nd degree • App Downloads/App Views = 70%
connections • App Enters/App Users = 2.3
• Crucial info summary is useful for • Ratings Views/App Users = 10
users
• Favorites Users/App Users = 2.7
• Users will check other people out • Mails/App Users = 1.8
• Users will send emails
• Users will add people to favorites
16. endorphin team
FOUNDERS ADVISORY BOARD
Artem Zavyalov Roman Sidorenko
Co-founder, CEO Customer and Product
Development, Concept Advisor
Viktor Strelbitskyy Alexandr Mertens
Co-founder, COO Strategy and Funding Advisor
UX TECH TEAM
Yevgen Rudyy Sergey Khristoliubov
Designer Tech team lead
Alexander Kukhtenko Alexander Skakovskiy
UX and product manager Leading developer
17. Endorphin’s History
1. October 2011 - Endorphin launched as the Platform for seeking
new acquaintances (weakly scalable business model)
2. January 2012 - Pivot to Social Scoring Platform
3. April 2012 - Customer Development and Reality Check at
Blackbox Connect Accelerator in Silicon Valley (lean startup,
customer development, pitching, networking)
4. May – August 2012 – Prototyping (Design, UX, Technical
prototype)
5. September 2012 - Reality Check in Startup Alley at TC Disrupt
San Francisco
6. October 2012 – Raised $250K Seed funding from the Untitled
VC
7. December 2012 – MVP launch: mobile apps for iOS and Android
18. NOW
1. We interviewed over 1.000 people personally to prove
the interest for such a service and we got 8 out of 10
people that would like to use it.
2. We've got over a 250 signups for beta-testing invitation
at TechCrunch Disrupt SF.
3. We have 75% of code written (15.000 lines which we
plan to double in the next two months).
4. We have finalized and proven interactive mobile app
prototype which is now been coded (iOS and Android).
19. Investment Opportunities
Needs for the next rounds
$5M November 2013
$5M from a pool of investors
February 2013 $2M as equity
$2M from a pool of investors
as convertible notes
Cap: 4%, Discount: 20%
Click here
angel.co/endorphin
20. ROADMAP
MVP – Mobile app used to search experts and professionals using
scoring algorithms applied to social network data
Endorphin after round A funding:
Release 2
B2B – Social Scoring Platform with Open API for Businesses;
B2C – Mobile App used to search and get an analytical summary of
anyone on the web
Release 3
B2B – Online Scoring Platform with Open API and DB for Businesses;
B2C – Online Scoring App and Site for searching, analyzing and
scoring anyone on the web.
