Pick 01
Broadcom
Part: Wi-Fi 6E and Bluetooth combo chip
- Patent strength
- High
- Patents
- 1,200+ patents
- Revenue
- ~$80M Vision Pro revenue
- Location
- US · Low risk
“Leader in wireless chips with a close working relationship with Apple.”
GTM Engineering and StrategyBuilt in ClayInvestment Research
Apple Vision Pro
Supplier Intelligence
System.
One Clay table that works as both an investment idea and a sales outreach engine. Research and action in one place. This is what a modern GTM setup looks like.
- Role
- GTM Engineer · Researcher
- Tool
- Clay (single table)
- Year
- 2026
One table · Two outputs
Skills applied
Product strategyAI & LLM literacyAgentic workflowsData architectureMarket & competitor analysisAnalytical thinkingRapid iterationExecutive-ready storytelling
What this project proves
Not a research deck. A working system that brings together three skills at once.
01 · Data Setup
Build a multi-source data pipeline from scratch in Clay
iFixit teardowns, Apple's 2024 Supplier List, Counterpoint parts analysis, patent databases, and analyst reports. All pulled into one auto-running flow.
02 · Market Research
Turn raw supplier data into a real investment idea
A focused stock list mapped to the hardest-to-replace parts in spatial computing. Not just buying Apple stock.
03 · Outreach
Run a full sales outreach engine on the same data
60 verified decision-makers, full contact info, and personalized messages. All generated automatically from each supplier row.
This is what GTM Engineering and Strategy means: building systems that combine data, research, and sales outreach into one flow. Clay is the tool that lets all three live in the same place.
60
Suppliers mapped
46
Data points per supplier
44 / 46
Columns auto-filled
82%
Table filled automatically
$3,499
Vision Pro parts list mapped
5
Top picks
60
Personalized outreach messages
What I built in Clay
One table. 60 rows. 46 columns. Filling itself.
C
Apple Vision Pro · Supplier Intelligence
Clay table · Auto-run on · 82% filled
Filling
Research layer
Investment-quality signals per supplier
- Supplier Companycol 01
- Headquarters Countrycol 02
- Part Suppliedcol 03
- Estimated Yearly Apple Revenuecol 04
- Revenue Confirmed or Estimatedcol 05
- Patent Countcol 06
- Patent Strength Tagcol 07
- Years Supplying Applecol 08
- Alternative Supplierscol 09
- Supplier Confirmation Statuscol 10
- Teardown Source Citationcol 11
- Estimated Part Costcol 12
- % of Vision Pro Parts Listcol 13
- Supply Chain Risk Flagcol 14
- China and Taiwan Exposurecol 15
- Risk of Being Replacedcol 16
- Apple Official Supplier List (Y/N)col 17
Outreach layer
Sales-ready data per supplier
- Contact Namecol 01
- Contact Titlecol 02
- Work Emailcol 03
- LinkedIn URLcol 04
- Time in Rolecol 05
- Personalized Outreach Messagecol 06
Multi-source data lookups
Teardowns, supplier lists, parts analyses, and patent databases are checked in order until every cell has an answer.
AI columns and Claygent research
Patent Strength and Risk of Being Replaced are written by AI columns. Claygent handles open-web research for every row.
Auto-run and personalized outreach
Auto-run keeps the table filling on its own. A final AI column writes a custom message using each supplier's part and Apple history.
How the agents work
Five agents. One row at a time. No manual research.
Every supplier row is built by a five-step agent pipeline. A name goes in, a fully enriched record and a personalized outreach message come out - unattended.
01
Seed row
Supplier name enters from Apple's official list or an iFixit teardown.
02
Claygent research
Reads teardowns, analyst notes, and news on the open web for that supplier.
03
Data lookups
Waterfall through Crunchbase, Apollo, and patent databases to fill firmographic and IP columns.
04
AI scoring
GPT columns write Patent Strength, Risk of Being Replaced, and China / Taiwan Exposure.
05
Personalized outreach
Final AI column writes a bespoke message using each supplier's part and Apple history.
Input
One supplier name.
Runtime
≈ 90 seconds per row, fully unattended.
Output
46 filled columns, 1 investment score, 1 outreach message.
The investment idea
The best way to invest in spatial computing isn't Apple. It's the suppliers that own the hardest-to-replace parts.
Apple Vision Pro is the first real spatial computing product people can buy. The companies that supply its hardest-to-replace parts (strong patents, confirmed Apple supplier status, and low political risk) are the best bet for long-term growth in this space. This is a focused stock list, not just buying Apple.
Five things I score each supplier on
Patent Strength
Low, Medium, High, or Very High. Based on patent count and how unique the part design is.
Estimated Yearly Apple Revenue
Dollar range tied to Vision Pro specifically.
Supply Chain Risk
How concentrated the supplier is and how exposed they are to political risk.
China and Taiwan Exposure
Important for big investors and ESG-focused portfolios.
Risk of Being Replaced
How likely the part is to be swapped out for future Apple chips or a rival platform.
Top 5 picks
The shortlist the table lands on.
AVGO
Pick 02
Texas Instruments
Part: Power management chips and Battery Management System
- Patent strength
- Very High
- Patents
- 2,100+ patents
- Revenue
- $30M to $60M Vision Pro revenue
- Location
- US · Low risk
“Largest analog chip portfolio in the industry. Very hard to replace in power design.”
Pick 03
Murata Manufacturing
Part: Antenna modules and small RF parts
- Patent strength
- High
- Patents
- 2,000+ patents
- Revenue
- $40M to $80M Vision Pro revenue
- Location
- Japan · Low risk
“Largest patent portfolio in the world for MLCC and RF filters.”
Pick 04
Largan Precision
Part: Camera lens assemblies. Main supplier for all Vision Pro cameras
- Patent strength
- Very High
- Patents
- 600+ patents
- Revenue
- $400M to $700M across the wider Apple relationship
- Location
- Taiwan · Confirmed on Apple's 2024 Supplier List
“Apple's sole precision lens supplier for more than ten years.”
Pick 05
Cirrus Logic
Part: Apple-custom audio chips
- Patent strength
- Very High
- Patents
- 500+ patents
- Revenue
- $80M to $150M Vision Pro revenue
- Location
- US · Very low risk
“Built into Apple's custom audio roadmap. Revenue is almost locked in.”
The outreach engine
Same table. Now a 60-contact outreach pipeline.
On top of the research, I built a full B2B outreach layer aimed at decision-makers at each supplier. For each of the 60 suppliers, Clay finds the right contact (a VP or Director in supply chain, partnerships, or BD), their work email, LinkedIn, and time in role. Then it writes a personalized message using the supplier's part, Apple history, and patent position.
Investor relations outreach
to supplier companies and IR teams
Partnership and BD targeting
with context-aware first messages
Supply chain research
warm-intro conversations with primary sources
LP
Largan Precision · BD
Filled in: name, title, work email, LinkedIn, time in role
Hi, given Largan's role as Apple's sole precision lens supplier and the camera assemblies confirmed in the Vision Pro teardown, I'd love to compare notes on how the parts share might change as Apple builds the next headset. Have 15 minutes next week?
Sole supplierApple Supplier List 2024600+ patentsTaiwan HQ
One system, two outputs. The research and the outreach share a row.
How I built it
Research and outreach should live in the same system, not in separate tools.
I built this as a single source of truth: one Clay table feeds both the investment analysis and the outreach pipeline. Auto-run keeps it filling on its own, so the data gets better over time without me touching it. This is what a modern GTM setup looks like.
Step 01
Data
→
Step 02
Fill in
→
Step 03
Score
→
Step 04
Personalize
→
Step 05
Outreach
Impact and measurable outcomes
What used to take a two-person team a week now takes one person an afternoon.
Research time
~1 week → 1 afternoon
Personal estimate: manually sourcing 60 suppliers with the same 46 data points would take me roughly a full week; the Clay build ran in an afternoon.
Table auto-fill
82%
44 of 46 columns populated by Clay enrichments and AI prompts. The remaining 2 required manual review.
Suppliers mapped
60
Covering the confirmed Vision Pro bill of materials cross-referenced with iFixit teardowns and Apple's 2024 Supplier List.
Outreach drafted
60 emails
Personalized messages generated end-to-end. Sample too small to report a meaningful reply rate.
Investment output
5 top picks with a defensible thesis
Backed by patent counts, revenue estimates, and teardown citations.
GTM output
60 personalized emails ready to send
Each references the exact part and years supplying Apple.
Reusability
Template reruns for any Apple product
Swap the seed list and the same 46-column workflow re-runs for iPhone, Watch, or AirPods.
Supply chain risk map
60 suppliers, grouped by China and Taiwan exposure.
Low risk
US, Germany, Japan, Austria, Netherlands, UK HQ
- Broadcom
- Texas Instruments
- Qorvo
- Skyworks
- Bosch Sensortec
- ams-OSRAM
- Murata
- Alps Alpine
- NXP Semiconductors
- Jabil
- InvenSense
- Dialog Semiconductor
- Laird
- Panasonic
- Nippon Mektron
Medium risk
Taiwan-based confirmed suppliers
- Largan
- Novatek
- Himax
- TSMC
- Catcher Technology
- Genius Electronic Optical
- Zhen Ding
- Primax
- Career Technology
- Compal
- Pegatron
- Quanta
- Goertek
High risk
China-based / China-heavy operations
- AAC Technologies
- ATL
- Sunny Optical
- Luxshare
- Lens Technology
- Biel Crystal
- Sunwoda
- Foxconn
Sources and transparency
Every data point has a cited source.
Each supplier row is marked as one of three confirmation types. This is what sets the system apart from a generic supplier list.
Confirmed via teardown
Physically seen in the iFixit Vision Pro teardown.
Confirmed via Apple Supplier List
Listed in Apple's official 2024 Supplier List.
Estimated from analyst reports
Pulled from Counterpoint parts data, sell-side notes, and patent filings.
Sources: iFixit Vision Pro Teardown · Apple Supplier List 2024 · Counterpoint Research parts data · supply-chain teardown reports · public patent database searches.
Closing thought
The best GTM engineers don't just build outreach sequences. They build the data system that makes every next step smarter.
The same Clay table that powers a $5M+ stock portfolio idea also powers a 60-contact personalized outreach campaign. That's what modern go-to-market work looks like.