An early Peloton and Fitbit backer invested in travel startup Sherpa after seeing this pitch deck

Sherpa
arc beats above · slides in the middle · loops below · scroll → 2 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 1
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4
coverage by narrative range · generated from this deck JSON

Slide inventory

21
every slide · same image gating as the playbook
01
Slide 1
Includes a date and a watermark/stamp in the bottom right corner.front_matter
02
The slide uses a screenshot of a tweet to illustrate a real-world pain point regarding travel documentation.frame_problem
Open slide detailBeat · Agitate
03
The slide uses a 'wall of pain' approach to demonstrate the frequency and severity of customer friction regarding travel documentation.frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
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establish_context
Open slide detailLoop · Cost Of Inaction
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show_traction
Open slide detailLoop · Cost Of Inaction
06
show_traction
Open slide detailLoop · Cost Of Inaction
07
The map visualizes the company's global footprint.show_traction
Open slide detailLoop · Cost Of Inaction
08
The diagram uses a hub-and-spoke model to show Sherpa as the central intermediary between various government entities and the end-user's mobile application jourpresent_solution
Open slide detailLoop · Cost Of Inaction
09
The slide shows a functional UI component for a travel-related application.present_solution
Open slide detailLoop · Cost Of Inaction
10
The slide highlights the ease of use and error reduction through automated data capture.present_solution
Open slide detailLoop · Cost Of Inaction
11
The image shows a kiosk interface for selecting various international entry requirements.present_solution
Open slide detailLoop · Cost Of Inaction
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The seat map uses a color-coded legend to indicate eTA status (Invalid, Valid, Not Needed).present_solution
Open slide detailLoop · Cost Of Inaction
13
present_solution
Open slide detailBeat · SolutionLoop · Cost Of Inaction
14
The slide uses a simple additive model to derive a TAM of $2.5B from two distinct cost drivers.size_opportunity
Open slide detailBeat · Market Sizing
15
size_opportunity
Open slide detailBeat · Market Sizing
16
show_traction
Open slide detailLoop · Quick Win Big Bet
17
other
Open slide detailLoop · Quick Win Big Bet
18
The slide uses a bubble-based categorization framework to illustrate market fragmentation.compare_peers
Open slide detailLoop · Quick Win Big Bet
19
present_solution
Open slide detailLoop · Quick Win Big Bet
20
The revenue chart shows a projection reaching over $100M by 2022, which contradicts the text claim of $30M by 2022.plan_implementation
Open slide detailLoop · Quick Win Big Bet
21
Includes a watermark/stamp from the Consulate General of India in the bottom right corner.front_matter