Over the past several months I have been doing some thesis building around the API economy. I want to pause to share some initial thoughts, and to solicit your feedback.
Team Networks - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, networks
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, LiOn Batteries
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Quantum
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Disinformation
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Wargames
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Acquistion
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, climate
Over the past several months I have been doing some thesis building around the API economy. I want to pause to share some initial thoughts, and to solicit your feedback.
Team Networks - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, networks
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, LiOn Batteries
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Quantum
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Disinformation
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Wargames
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Acquistion
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, climate
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve Blank, Army Venture capital
Team Catena - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, economic coercion,
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space force
Team Drone - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, c3i, command and control
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, semiconductors
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, venture capital
Lecture 8 - Technology, Innovation and Great Power Competition - CyberStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Michael Sulmeyer, cybercom,USCYBERCOM
Lecture 7 - Technology, Innovation and Great Power Competition - SpaceStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space, space force, general Raymond, space command
Lecture 6 - Technology, Innovation and Great Power Competition - Autonomy and...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, ONR, Lorin Selby, Maynard Holliday, Bradley Garber,
Lecture 6- Technology, Innovation and Great Power Competition - Unmanned Syst...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, ONR, Lorin Selby, Maynard Holliday, Bradley Garber,
Lecture 5- Technology, Innovation and Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, JAIC, DIU, Mike Brown,Nand Mulchandani, Jacqueline Tame
Lecture 4- Technology, Innovation and Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, semiconductors, china, applied materials
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve Blank, Army Venture capital
Team Catena - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, economic coercion,
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space force
Team Drone - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, c3i, command and control
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, semiconductors
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, venture capital
Lecture 8 - Technology, Innovation and Great Power Competition - CyberStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Michael Sulmeyer, cybercom,USCYBERCOM
Lecture 7 - Technology, Innovation and Great Power Competition - SpaceStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space, space force, general Raymond, space command
Lecture 6 - Technology, Innovation and Great Power Competition - Autonomy and...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, ONR, Lorin Selby, Maynard Holliday, Bradley Garber,
Lecture 6- Technology, Innovation and Great Power Competition - Unmanned Syst...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, ONR, Lorin Selby, Maynard Holliday, Bradley Garber,
Lecture 5- Technology, Innovation and Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, JAIC, DIU, Mike Brown,Nand Mulchandani, Jacqueline Tame
Lecture 4- Technology, Innovation and Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, semiconductors, china, applied materials
Power-sharing Class 10 is a vital aspect of democratic governance. It refers to the distribution of power among different organs of government, levels of government, and social groups. This ensures that no single entity can control all aspects of governance, promoting stability and unity in a diverse society.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
This presentation provides an introduction to quantitative trait loci (QTL) analysis and marker-assisted selection (MAS) in plant breeding. The presentation begins by explaining the type of quantitative traits. The process of QTL analysis, including the use of molecular genetic markers and statistical methods, is discussed. Practical examples demonstrating the power of MAS are provided, such as its use in improving crop traits in plant breeding programs. Overall, this presentation offers a comprehensive overview of these important genomics-based approaches that are transforming modern agriculture.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
1. Total Interviews: 42
(Team F)
Academic Competition Tools and Advanced Candidate
Screening Investment Management Firms
Pre-Class Day 1 Day 2 Day 3 Day 4
Survey: Interviews: Interviews: Interviews: Interviews:
16 Recruiters 6 Recruiters 9 Recruiters 7 Recruiters 5 Recruiters
9 Candidates 6 Candidates 9 Candidates
Jigar Patel Andrew Weisgall Atin Garg Yezhuo Li Zak Schwarzman
2. Day 1
-Ability to proactively
distinguish themselves Front-office candidates
-Training from the competition -Co-creation (candidates
courses(TrainingTheStre that are seeking jobs in
-Platform (candidate -Showcase their portfolio create content on site)
ets) Financial Services
engagement on the site) and track performance -Automated self-service
-Industry trade groups -Matchmaking (data -Automated job matching -Community/Network
(i.e. CFA) mining/parsing, NLP) (saves time by not having -Financial Institutions
-Executive search firms -Candidate Ranking to search/apply for jobs) -Executive search firms
-Dedicated personal
(provide fit/personality (portfolio performance) (headhunters)
-Better evaluation of assistance (initially)
assessment, -Self-service (in long run)
candidates (based on Hedge Fund,
complements our meritocracy vs. brand)
technical assessment) Mutual Fund,
-Deeper insight into Sell-side Research,
-LinkedIn (extract user candidates' investment
Investment Banking,
profile data) search/thought process
-Student clubs and Financial Advisory Firms,
-Virtual trading -Cost-efficient solution
-Intellectual (matching (headhunters charge 50k+ university career centers Pension/Insurance
platforms (i.e. Covestor,
algorithm) per hire) -Online communities Funds,
Estimize) Family Offices,
-eFinancialCareers and -Human (sales force, -Save time through -Educational sites/blogs
developers, engineers) automated matching Endowment Funds,
other job board sites Private Equity,
-Quality of candidates (employers only need to -Sales force
-Quantity of jobs available post a job description) -Industry Conferences Venture Capital
Fixed:
-Website hosting & maintenance
-Salaries (developer)
-Freemium (job analytics; -Tiered subscription fee (recurring)
Variable: stats on other candidates) -Commission Fee (per successful hire)
-Sales force commission
3. Takeaways (Day 1)
• CS: Narrowed focus of financial firms
• CS: Added Educational Institution as a new customer
• RS: Can’t charge students/candidates to use the system
• RS: Subscription model for large firms and headhunters
• RS: Commission fee for small firms w/ ad hoc hiring
• RS: Firms would pay for a product that made
screening/filtering candidates faster and more accurate
• VP: ~100% of fundamental hedge funds use stock pitches to
evaluate candidates
• VP: Thought process behind a stock pitch > Performance
• New Tests: Stock pitch competitions / application platform
4. Day 2
-proactively distinguish
themselves from the -Co-creation (candidates
competition create content on site) Front-office candidates
-Showcase their portfolio -Automated self-service that are seeking jobs in
and track performance -Community/Network Financial Services
-Platform (candidate -Automated job matching
engagement on the site) (saves time) -Dedicated personal
-Training courses -Matchmaking -Greater access assistance (initially) -Financial Institutions
-Industry trade groups -Candidate Ranking -Executive search firms
-Better evaluation -Self-service (in long run)
-Executive search firms (headhunters)
-Deeper insight earlier in Hedge Fund,
-LinkedIn -Cross promotions
the interview process Mutual Fund,
-Virtual trading
-Cost-efficient Sell-side Research,
platforms (i.e. Covestor, -Save time Investment Banking,
Estimize) -Surfaces non- Financial Advisory Firms,
-eFinancialCareers and -Student clubs and
traditional hires Pension/Insurance Funds,
other job board sites -Eliminates unqualified
university career centers Family Offices,
-Yahoo! Finance -Intellectual -Online communities
candidates Endowment Funds,
-sales force -Educational sites/blogs Private Equity,
-engineers -Virtual Competitions Venture Capital
-candidates
-available jobs -Sales force
-Customer referrals -Industry Conferences Educational Institutions
-Relationships
-Direct targeting
Fixed: Affiliate Marketing
-Website hosting & maintenance
-Salaries (developer)
-Freemium (job analytics; -Tiered subscription fee (recurring)
Variable: stats on other candidates) -Commission Fee (per successful hire)
-Sales force commission
5. Takeaways (Day 2)
• Hypothesis:
– Firms would recruit investment professionals using an online platform
– They would find automatic matching and ranking valuable
• Experiments:
– Interviewed (and surveyed) portfolio managers, analysts, and head of recruiting at investment
firms as well as Executive Search Firms
• Results:
– Only active job seekers will contribute content; better candidates already employed
– Insight into investment approach more valuable than portfolio performance
– Firms skeptical in the matchmaking ability; but consider manual search a pain point
– Most firms only target top schools/firms; some find it sufficient, others feel that candidates are
not well prepared or arrogant
– Online tool not useful for hiring experienced candidates (mostly relationship driven)
• Iterate:
– Is a virtual pitch competition platform more valuable?
• Will it produce better candidates?
• Will it provide more granular evaluation criteria (qualitative data on candidate’s thought process and ability to pitch a
stock)?
– Is a video pitch more valuable than written pitch?
6. Day 3
-Mgmt / organization -Personal assistance
-Online platform for competitions -Co-creation (candidates
-Training courses -Matchmaking -Help promote students create content on site) Universities / student
-Industry trade groups -Candidate Ranking -Management of -Automated self-service organizations
-Executive search firms -Competition mgmt investment ideas -Community/Network
-LinkedIn -Granular evaluation of -Standout from crowd / -Platform
-Yahoo! Finance content matching -Personal assistance
-Candidate filtering -Saves time Students / Candidates
-Universities / student
organizations -Crowd-sourced -Cross promotions
-Video service investment ideas
-Access to qualified Investment firms
candidates Executive Search Firms
-Intellectual (algo) -Deeper insight -Sales force
-Sales force & -Mgmt of investment -Web or email
engineers pitch competition
-Participants -Automated filtering -Web or email Educational
-Job listings -Sales force Institutions
-Customer referrals -Industry conferences
-Relationships
-Direct targeting -Site participants
-Competitions
Fixed:
-Website hosting & maintenance
-Salaries (developer)
-Video service Subscription / license Freemium
Variable: Subscription / license
-Sales & marketing Affiliate marketing
Commission
7. Takeaways (Day 3)
• Hypothesis:
– There is demand for an online competition management system among b-schools
– Investment firms want pitch data on student pitches for recruiting and investment
decisions
– Investment firms want short videos of student pitches for recruiting
• Experiments:
– Interviewed portfolio managers, analysts, and head of recruiting at investment firms
– Interviewed student club presidents at top 10 business schools
• Results:
– There is clear demand for an online competition management system from students
– Investment firms find student pitches and videos useful for recruiting
– Firms skeptical about the value of crowd sourced pitch data
• Iterate:
– Reach out to school administrators and student club presidents
– Reach out to non-investment focused clubs/organizations
8. Day 4
-Mgmt / organization -Personal assistance
for competitions
-Online platform -Help promote students -Co-creation (candidates Universities / student
-Industry trade groups -Competition mgmt create content on site) organizations
-LinkedIn -Granular evaluation of -Management of -Automated self-service
-Yahoo! Finance content investment ideas -Platform
-Universities / student -Candidate filtering -Standout from crowd /
organizations matching Students / Candidates
-Personal assistance
-Video service -Integrate recruitment
-Investment firms and pitches competition
-Pitch archive
Investment firms
Executive Search Firms
-Crowd-sourced -Sales force
-Intellectual: algo & data investment ideas -Web
-Sales force & engineers -Access to qualified
-Participants candidates -Web
-Relationships -Deeper insight
-Competitions -Mgmt of investment -Sales force
-Judges pitch competitions -Site participants
Fixed:
-Website hosting & maintenance
-Salaries (developer)
-Video service Subscription / license Freemium
Variable:
-Sales & marketing Subscription / license
9. Takeaways (Day 4)
• Hypothesis:
– The competition platform can be applied to other verticals, not just finance
– Organizers want better competition management system
• Experiments:
– Talk to recruiters at various firms
– Talk to student club presidents and competition organizers to see if they’d use it
• Results:
– No student clubs use online competition systems – most people use email
– Club presidents would love to have a management tool
– Participants might be concerned about using their data for recruiting
– Video pitches might be useful but not necessary
• Iterate:
– Keep on truckin’
– Stay hungry, stay foolish!
10. Day 5
-Mgmt / organization -Personal assistance
for competitions
-Online platform -Help promote students -Co-creation (candidates Universities / student
-Industry trade groups -Competition mgmt create content on site) organizations
-LinkedIn -Granular evaluation of -Management of -Automated self-service
-Yahoo! Finance content investment ideas -Platform
-Universities / student -Candidate filtering competition content
organizations -Standout from crowd Students / Candidates
-Personal assistance
-Video service -Integrate recruitment
-Investment firms and pitch competition
-Pitch Content archive
Investment Financial
firms
-Target relevant -Sales force
-Intellectual: algo & data Executive Search Firms
candidates -Web
-Sales force & engineers Consulting Firms
-Access to qualified
-Participants Law Firms
candidates -Web
-Relationships -Deeper insight
-Competitions -Mgmt of investment -Sales force
-Judges pitch competitions -Site participants
Fixed:
-Website hosting & maintenance
-Web Development
-Salaries (developer) Subscription / license Freemium
-Video service
Variable: Subscription / license
-Sales & marketing
11. Students Ecosystem
Competition
Universities
Platform
Student
Clubs
Candidate
Data
Employers
12. Channels Students (Freemium)
Student Clubs ( up to $1000
Social
/ year)
Commerce
Dedicated Universities (up to $25K /
E-Commerce year)
Direct Sales Consulting Firms ($50K /
Year or $10K / hire)
Financial Firms ($50K / Year
or $10K / hire)
13. Competitive Landscape
Competition
Company Description Hiring? Finance Focus? White Label?
Mgmt?
Academic competition management and recruitment
Influential Investor
platform. ✔ ✔ ✔ ✔
Wizehive Competition software for branded web contests. ✔ ✗ ✗ ✔
Skild
Software service to run awards, prizes and contest
promotions.
✔ ✗ ✗ ✔
ChallengePost allows organizations to challenge the
ChallengePost
public to solve big problems through competitions. ✔ ✗ ✗ ✗
Monster Leading job posting site ✗ ✔ − ✔
LinkedIn Professional social network ✗ ✔ − ✗
eFinancialCareers Job posting site targeting finance industry. ✗ ✔ ✔ ✔
Skipso Solutions Versatile contest management tool. ✔ ✗ − ✗
Database of professionally-submitted investment ideas
SumZero
with a recruitment platform on top. ✗ ✔ ✔ ✗
OneWire Finance-focused recruitment platform. ✗ ✔ ✗ ✔
Bloomberg Finance news and job board. ✗ ✔ ✔ ✗
ValueInvestorsClub A investment idea community. ✗ ✔ ✔ ✔
14. Archetype
John Jane
Industry MBA student Finance
Title Investment Management Club President Hedge Fund Portfolio Manager
Age 29 38
Sex Male Female
Income $0 $1,400,000
Motivation -Wants a job at a hedge fund after -Wants a new investment analyst
graduation -Is tired of interviewing students that look
-Is extremely busy and wants software to good on paper but don’t have great
run a pitch competition for his club investment ideas
-is willing to sponsor a competition to find
the best candidates
15. Market Size
Total Available Market
$15 billion • # of entry level finance hires in
U.S. per year * cost per hire
$6 billion Served Available Market
• MBAs as % of entry level
finance * TAM
$1 billion Target Market
• Assumption: Top 100 Business
Schools