principle / 01field-tested
Diagnose first, recommend second.
Most sellers lead with their product. The deals that actually close start with a sharper diagnosis of the buyer's problem than the buyer has on their own.
klause-osuptime 99.97%·fps 120·--:--:-- PT
live · ingesting nowbuild · betatestopen to senior roles
SaaS sales leader running his own operator stack.
Fifteen years closing enterprise deals into the world's biggest hotel brands. The site you're reading is the actual surface of the AI tooling I built to do it.
pipeline · live weight syncing
$0.0M
weighted across 0 active opportunities
●Hilton
evaluation
─Marriott
discovery
─IHG
proposal
─Hyatt
discovery
─Accor
qualification
─Choice
evaluation
system log · last 60stail -f klause-os.log
tenure
15+
years in hospitality SaaS
brands
8/10
top global hotel brands sold into
quota
3×
quota years stacked
[track-record]indexed · 15 yrs
Fifteen years selling SaaS into the most complex buying committees in hospitality.
sold-into · brand graph 10 nodes
HiltonMarriottHyattIHGChoiceWyndhamAccorFour SeasonsBest WesternRadissonHiltonMarriottHyattIHGChoiceWyndhamAccorFour SeasonsBest WesternRadisson
principle / 02field-tested
Map all four buyers, not one.
Economic buyer signs, champion fights, user tolerates, skeptic kills in committee. You either map all four or you wonder why it died at procurement.
principle / 03field-tested
The gap is the market.
Hotels are operationally messy and technologically conservative, under pressure to prove ROI on every line item. The gap between buyer skepticism and what AI can deliver is where the next decade of SaaS sales gets won.
[sales-tooling]4 systems · all shipping
The AI tools I built because the off-the-shelf stack doesn't close deals.
Every one of these started as a problem I had as a seller, not a side project. They run on my laptop today.
tool · 01
rec · 14:32Call Coach
Live MEDDICC and Challenger overlays during sales calls. WhisperKit on-device transcription, sub-second prompts to the rep.
MEDDICC
4 / 8
talk-time
44%
latency
1.4s
live transcript
buyerWe've tried this before. It didn't stick.
insight · The highest-leverage moment in a sales call is the one you usually miss. Coaching has to be fast enough to nudge the next sentence.
tool · 02
post-meetingMeeting Co-pilot
Auto-detects commitments the rep made on the call. Drafts the follow-up, files the CRM update, schedules the next-step reminder.
commits
3
drafted
1
filed
2
drafting · marriott / sarah lin ·
▋
▋
insight · The deal-killer is rarely the call itself. It's the 48 hours after, when the rep moves on and the buyer drifts.
tool · 03
pipeline opsAI Sales Assistant
Bundled CRM stack — account research, opportunity scoring, MEDDICC qualification, post-meeting commitment detection, follow-up automation.
stage funnel · last 30dn=247
discovery
247
qualification
168
evaluation
94
proposal
47
closed-won
14
context retrieval · per-dealp95
email history1,241 threads
call transcripts412 hrs indexed
committee map4-7 roles / acct
competitor mentionsauto-flagged
insight · Most reps don't have a pipeline problem, they have a context problem. Better context beats better cadence.
tool · 04
outboundProspector
End-to-end outbound: account selection, ICP matching, persona research, sequence drafting in my voice, suppression and dedup.
accounts
1,240
icp-fit
247
personas
812
drafted
94
pipeline graph
icp→persona→research→draft
insight · Outbound at scale fails because every step compounds. Get one wrong and the whole sequence rots.
[other-work]range · weekends
Range, by way of weekends.
Things I've shipped outside the sales-tooling lane. Different problems, same building muscle.
[trader]
edge-engineKlause Trader
Multi-strategy portfolio system. PEAD, Form 4 insider clusters, supplier-graph signals, IPO radar, USPTO patent scanner. Hand-rolled conviction model with tiered fractional rotation.
strategies
9
graphs
supplier · insider
cadence
nightly
[notify]
single-sourceNotification Consolidation
Replaced 10+ daily automated emails with one morning briefing and one EOD digest. Per-source cards, money-blur on shoulder-surf, dark/light aware.
emails-replaced
10+
channels
1
blur
click-to-reveal
[billpay]
plaid-reconciledBill Pay System
Plaid-reconciled bill discovery, email parser for new billers, HTML dashboard. Catches mis-categorized charges and surfaces forgotten subscriptions.
source-of-truth
plaid
parser
email-side
view
html dash
[travel]
watchlistsTravel Automation
Flight tracker with airline filtering, hotel price scanner across Amex FHR, miles scraper across United/Delta/American, family-trip workflows.
airlines
12 tracked
hotels
fhr+inv
miles
ua · dl · aa
[about]the human behind klause-os
I Lead. I build. The next decade of SaaS sales belongs to people who do both.
~/klause-os/about
shell · zsh❯ whoami
Alex Setzler · sales leader who builds · Henderson, NV · dual citizen US/CA
❯ cat about.md
I've spent fifteen years selling SaaS into hospitality. Hotel chains, resort groups, brand HQs, the messy committees that decide what tech actually gets deployed. The work taught me the deal isn't won in the demo. It's won in the diagnosis before the demo, the commitments tracked after the call, and the follow-up that actually shows up.
Two years ago I started building the tools I wished I had as a seller. Real-time call coaching. A meeting co-pilot that detects commitments and drafts the follow-up before I've closed the laptop. A prospector that actually sounds like me. Now I write more code in a week than most reps will write in their career, and the gap between buyer skepticism and what AI can deliver is the most interesting market I've ever sold into.
Based in Henderson, Nevada. Dual citizen, Canada and the United States. Married twenty years this fall. Two daughters, one heading to the University of Toronto in the fall. One grey cat.
❯ ls contacts/
locationHenderson, NV · US-remote, open to travel
❯ _▋