A little background.
Tucker Fry — Growth & Operations
Growth and operations, leaned systems-heavy. Four years end-to-end on outbound, enrichment, and RevOps infrastructure for a venture-backed SMB acquisitions startup. Before that, a different life — that part still shows up in the work.
Nontraditional route into ops: kitchen work → music production → audio/video engineering → growth and ops. Each phase was learn-by-doing; that pattern carries now. I build systems the way I used to build records — get the rough idea running end-to-end, then iterate tightly against real output.
How I work
Systems-thinking. Hands-on. I prefer shipping imperfect and iterating against real signal over planning the perfect thing in a doc. Comfortable moving between creative and technical work, and between high-altitude strategy and the specific brittle script that nobody else wants to touch.
Where to find me
Best reach: email. Also on LinkedIn. Response times are human — usually same day on weekdays.
- Meetings_that_could_have_been_emails.rtf Document
- 15-step_growth_hack_framework.pptx Presentation
- Linkedin_thought_leadership_v17.docx Document
- Buzzword_bingo_2024.xlsx Spreadsheet
The Trash is empty.
Tuck Fry the Business Guy
- 1 Tuck Fry the Business Guy Riley Bria —:—
Riley wrote this for me when I left the Nashville music life for business. One of the truest, kindest people I've come to know — and one of the most talented.
At a glance.
Tucker Fry — Growth Engineering · Operations · Solutions Engineering
Four years end-to-end on outbound, enrichment, and RevOps infrastructure for a venture-backed SMB acquisitions startup. Nontraditional route in — kitchen work → music production → audio/video engineering → growth ops — which shows up in how I work: systems-thinking, hands-on, comfortable across creative and technical.
Below: every case study at a paragraph each. Click any title in the Selected Work window to read the full version.
Outbound
Cold email infrastructure at SMB volume.
- SMB outbound infrastructure · 2022–present
SMB cold outbound at volume without burning deliverability or reputation.
Sustained certification cadence at SMB volume; open rates well above the typical B2B benchmark. - Acquisition outbound (multi-channel) · 2024–present
Acquisition outreach to SMB owners considering exit — precision over throughput.
Opened off-market exit dialogue with owners and built an advisor referral network.
Enrichment
Owned data pipelines and custom scrapers.
- Custom enrichment scripts · 2024–present
Off-the-shelf enrichment was too expensive at scale and didn't surface buy-box-specific signals.
Drop-in Clay alternative — owned, cheaper, tunable to specific classification questions. - Listings scraper (deal sourcing) · 2025
Business-for-sale data lives across dozens of broker sites in inconsistent formats — manual sourcing doesn't scale.
Python scraper that normalizes listings across the major directories and adds derived metrics for evaluation.
Scoring
LLM-augmented lead scoring rubrics.
- Clay + Claude scoring pipeline · 2025–present
Industry-specific lead scoring at scale — judgment, not keyword matching.
Live inside a week. Filters raw lists to a high-confidence subset before any send.
Wiring
CRM, automations, and the connective tissue.
- Custom CRM for experiment tracking · 2025
Outbound experiments and lead lifecycle data scattered across spreadsheets and tool-specific dashboards.
Airtable lead tracker with automations across Instantly, Zapier, and Slack — single surface for campaign performance. - CIM auto-creation system · 2022
Building CIMs (Confidential Information Memorandums) by hand was a multi-hour copy-paste job for every new mandate.
Sheets → Figma pipeline that generates polished, on-brand CIMs from structured deal data.
Reach out
Email tucker@tuckerfry.com or message on LinkedIn. Response times are human — usually same day on weekdays.
A little background.
Tucker Fry — Growth & Operations
Growth and operations, leaned systems-heavy. Four years end-to-end on outbound, enrichment, and RevOps infrastructure for a venture-backed SMB acquisitions startup. Before that, a different life — that part still shows up in the work.
Nontraditional route into ops: kitchen work → music production → audio/video engineering → growth and ops. Each phase was learn-by-doing; that pattern carries now. I build systems the way I used to build records — get the rough idea running end-to-end, then iterate tightly against real output.
How I work
Systems-thinking. Hands-on. I prefer shipping imperfect and iterating against real signal over planning the perfect thing in a doc. Comfortable moving between creative and technical work, and between high-altitude strategy and the specific brittle script that nobody else wants to touch.
Where to find me
Best reach: email. Also on LinkedIn. Response times are human — usually same day on weekdays.
SMB outbound infrastructure
SMB cold outbound at volume without burning deliverability or reputation.
Problem
An SMB certification program needed a scalable way to reach independent business owners and certify them — without burning sender reputation or relying on manual list-building.
What I built
End-to-end cold email infrastructure, from domain setup through suppression logic. Configured sending domains with proper SPF/DKIM/DMARC authentication, warmed up a fleet of senders, and built a HubSpot → Zapier → Instantly automation that suppresses certified leads from active campaigns using domain-based matching. Iterated on copy, segmentation, and deliverability based on real performance data.
Scoring is handled by a separate pipeline — see Clay + Claude scoring pipeline for the detail.
Outcomes
- cadence
- Sustained certification volume at steady state
- opens
- Open rates well above the typical 20–30% B2B benchmark, sustained over months
- footprint
- Multi-inbox, multi-domain sending architecture
- volume
- Sustained high daily send volume at peak
- time-to-value
- First certifications inside the opening week of sending
Acquisition outbound (multi-channel)
Acquisition outreach to SMB owners considering exit — precision over throughput.
Problem
Sourcing acquisition opportunities from small business owners and advisors requires reaching a fragmented audience — owners, brokers, intermediaries — each with different contexts, motivations, and preferred channels. A single-channel approach won’t produce consistent deal flow.
What I built
A multi-channel outbound system spanning cold email and direct mail, with messaging tailored across distinct swimlanes for owners, brokers, and intermediaries. Segmented audiences by industry, size, and ownership profile, and built reply tracking, conversation routing, and pipeline visibility into the existing tooling stack. Iterated on positioning and targeting based on response patterns.
Outcomes
- conversations opened
- Off-market exit interest from business owners
- off-market deals
- Employee-buyout and private sale dialogue
- advisor network
- Brokers, exit planners, and intermediaries as referral sources
- investor relations
- Expanded IR top-of-funnel as a byproduct
Custom enrichment scripts
Off-the-shelf enrichment was too expensive at scale and didn't surface buy-box-specific signals.
Problem
Off-the-shelf enrichment tools (Clay credits, third-party APIs) were either too expensive at scale or didn’t surface the specific classification signals we needed — owner-profile categories, structural attributes, and other buy-box criteria not available off the shelf.
What I built
A Playwright + Claude Haiku pipeline that visits company websites, extracts relevant context, and returns structured classifications (boolean flags with confidence scores). Designed as a drop-in alternative to Clay enrichments where the per-row cost matters. Also debugged and rebuilt Claygent enrichments returning malformed output to enforce clean integer scoring.
Outcomes
- cost
- Materially lower per-row cost vs. off-the-shelf enrichment
- signals
- Custom classifications not available from generic enrichment vendors
- ownership
- Owned end-to-end, tunable per campaign
- control
- Prompts and validation rewritten to enforce clean structured output
Clay + Claude scoring pipeline
Industry-specific lead scoring at scale — judgment, not keyword matching.
Problem
Raw lead lists pulled from scrapers, public datasets, and broker sites contained thousands of records with wildly varying quality. Manually qualifying them against acquisition criteria — industry fit, structural quality, buy-box alignment — wasn’t tractable at the volume we needed to operate. Off-the-shelf scoring (“good lead / bad lead”) breaks the moment you’re targeting more than one thesis at once.
What I built
A data enrichment and lead scoring system in Clay that aggregates raw leads from multiple sources, enriches them with firmographic and web-scraped data, and runs them through an LLM-based scoring framework. The 1–6 scoring scale evaluates industry fit, structural quality, and overall attractiveness using AI prompts grounded in website-derived inputs. Iterated on scoring logic to balance strict industry alignment against broader structural fit, so the pipeline surfaces both bullseye targets and high-quality adjacencies.
- Data aggregation (Clay) — website flatten, NAICS, reviews, firmographics
- Industry-specific evaluation (Claude) — thesis-comparison prompt, on-site evidence only
- Structured scoring output — 1–6 scale with banded meanings
- Override logic — caps for edge cases, softer penalties on missing data
Architecture principle
Separation of concerns. Clay handles data + orchestration. Claude handles reasoning + judgment. Neither tool is stretched to do the other’s job, which is what makes this cheap to operate and easy to change.
The scoring band
1–2— not a fit — hard pass3–4— edge case — manual review before send5–6— strong / near-ideal — send with primary campaign
Outcomes
- time to live
- First working version within a week
- filter rate
- Raw lists → high-confidence subset before any send
- cost
- Operational cost in the low hundreds per month
- coverage
- Underpins both outbound programs — same engine, different rubrics
- iteration
- Continuously modified as buy-box criteria shift
Listings scraper (deal sourcing)
Business-for-sale data lives across dozens of broker sites in inconsistent formats — manual sourcing doesn't scale.
Problem
Broker directories and marketplaces fragment business-for-sale data across dozens of sites with inconsistent formats, making systematic deal sourcing slow and manual.
What I built
A Python-based scraper that systematically extracts listings across broker directories and marketplaces. Handles pagination, anti-bot friction, and retries to maintain reliability. Normalizes output into structured CSV/XLSX datasets and adds computed fields (multiples, margins, derived metrics) for quick evaluation. Replaced manual browsing with a repeatable, scalable sourcing system.
Custom CRM for experiment tracking
Outbound experiments and lead lifecycle data scattered across spreadsheets and tool-specific dashboards.
Problem
Tracking outbound experiments, lead lifecycle, and campaign performance across channels was scattered across spreadsheets and tool-specific dashboards, making it hard to compare what was actually working.
What I built
A lightweight CRM layer in Airtable to track outreach, experiments, and lead lifecycle across channels. Schema covers campaign status, source, notes, last contact, and segmentation fields. Automations dedupe leads, update records, and sync campaign activity. Integrated with Instantly, Zapier, and Slack for real-time visibility, and structured to support rapid A/B testing across messaging and datasets.
CIM auto-creation system
Building CIMs (Confidential Information Memorandums) by hand was a multi-hour copy-paste job for every new mandate.
Problem
Building CIMs (Confidential Information Memorandums) was a manual, multi-hour process — copy-pasting deal data into design files and reformatting layouts for every new mandate.
What I built
An automated pipeline that generates polished CIMs from structured deal data. Standardized Google Sheets templates capture financials, ops, and narrative inputs; exports flow as CSVs into Figma via the CopyDoc plugin, mapping fields into reusable CIM layouts. Output is a fully formatted, on-brand PDF — turned a multi-hour manual process into a templated workflow.
It is now safe to turn off your computer.
click anywhere to power on
Force Quit Applications
If an application doesn't respond for a while, select its name and click Force Quit.
Mac OS X
Version 10.0 — Cheetah
- Operator
- Tucker Fry
- Processor
- 1.0 GHz Growth & Ops
- Memory
- 512 MB Outbound · 256 MB Enrichment
- Startup Disk
- tuckerfry.com
Build 4K78 · TM and © Tucker Fry
Welcome to Tucker Fry's Portfolio
Starting up…
Click anywhere to skip
Welcome to Tucker Fry's Portfolio
Pick how you want to start
Mac OS X · 10.0 Cheetah