The Technology and SaaS playbook for STACK10X. Surface net-new ICP accounts, build data-backed TAM models, track funding signals in real time, and reach the right companies before your competitors know they exist.
Dynamic TAM modeling
ICP account discovery
Funding signals
Tech stack intelligence
Greenfield pipeline
AI Pack Query · Southeast US · SaaS Segment
AI PACK QUERY
"Series A–C SaaS companies in the US Southeast that raised funding in the last 90 days, have 50–200 employees, and use Salesforce"
✔ 412 companies matched
✔ 89 are net-new (not in CRM)
✔ Estimated TAM: $24.7M addressable
✔ Enriched: round size, investors, stack
Most SaaS and technology companies define their total addressable market using industry reports, analyst estimates, and spreadsheet arithmetic. The result is a number that's cited in board decks but never actually used to drive prospecting decisions.
Meanwhile, ICP-fit accounts get funded, scale their teams, and buy from competitors — while your sales team is working off a CRM populated with accounts they already know. The companies that should be in your pipeline next quarter aren't in your system today.
STACK10X fuses firmographic signals, funding events, hiring velocity, and tech-stack data into a living model of your total addressable market — updated continuously, queryable in plain language, and actionable in minutes.
net-new ICP accounts discovered in a single AI Pack query for one SaaS client
estimated addressable revenue identified from a single Southeast US segment query
funding recency window to surface newly-funded companies actively building their tech stack
to run your first dynamic TAM query — no contract, no data science team
Live TAM Breakdown · Southeast US SaaS Segment
Series A (50–100 employees)
143 companies
Series B (100–200 employees)
178 companies
Series C (200–500 employees)
91 companies
Net-new (not in CRM)
89 companies
Estimated total addressable revenue in this segment
✓ 89 net-new accounts surfaced — pipeline none of your competitors have called yet
The Playbook
A step-by-step methodology for SaaS and enterprise tech teams that want to replace spreadsheet TAMs with living intelligence models, discover net-new ICP accounts, and build pipeline from signals that competitors aren't tracking yet.
Stop defining your ICP in a slide deck and start querying it from a database. Use STACK10X to run a Company List query that returns every company in your target geographies that matches your ICP criteria — firmographic stage, employee count, industry vertical, and any other filters you apply.
This becomes your baseline TAM — the complete universe of companies you should be selling to, not just the ones in your CRM. For most technology teams, this list is 30–50% larger than what's currently being worked.
✔ Outcome: Data-backed ICP universe established
Company List Query
→Select target geography (US core DMAs)
→Filter by funding stage (Seed, Series A–C)
→Set employee count range (e.g., 50–500)
→Add industry vertical or tech category
→Export clean, CRM-ready data
Geography: Southeast US
Stage: Series A–C
Employees: 50–200
Vertical: B2B SaaS
→ 412 companies returned
A static list of ICP companies tells you who could buy. Signal data tells you who's about to. The AI Pack enriches every matched company with funding events, hiring velocity (specifically, new sales, ops, or technology hires), and tech-stack changes — the signals that predict an active buying window.
Companies that raised a Series B in the last 60 days are building their stack right now. Companies that added a VP of Sales last month have budget and are building a team. STACK10X surfaces these companies before your competitors know they exist.
✔ Outcome: Prioritized list of signal-active, in-window accounts
AI Pack Signal Query
→Filter by funding recency (last 30, 60, or 90 days)
→Identify companies hiring VP Sales / CRO / Head of Ops
→Flag tech-stack changes (new tools adopted)
→Surface accounts with competitive churn signals
Query: "From my ICP list, which companies
raised funding in the last 90 days AND
added a VP Sales or similar in last 60 days?"
→ 34 signal-active accounts ranked by fit
Cross-reference your ICP universe against your CRM to identify which accounts are already in your system — and which are invisible to your team. The gap between these two numbers is your net-new pipeline opportunity, quantified.
For most technology teams, 20–40% of their ICP universe has never entered the CRM. These aren't marginal accounts — they're companies that fit your criteria exactly, funded and growing, that your AEs have never contacted because they didn't know they existed.
✔ Outcome: Net-new pipeline opportunity quantified and prioritized
CRM Gap Analysis
→Upload CRM export (Salesforce, HubSpot, CSV)
→Cross-reference against full ICP universe
→Identify net-new accounts not in pipeline
→Rank by signal activity and fit score
Query: "Which companies in this segment
are NOT in our Salesforce? Rank by
funding recency and fit score."
→ 89 net-new accounts surfaced
Use the AI Pack to size the total revenue opportunity in your ICP universe — by segment, geography, company stage, and any other dimension you want to model. Unlike analyst reports, this TAM is built from real company data and can be refreshed any time the market moves.
Newly funded companies appear in your model the month they close their round. Companies that scale past your ICP threshold drop off. Your TAM becomes a living tool — not a one-time slide.
✔ Outcome: Data-backed TAM model, continuously refreshable
Dynamic TAM Modeling
→Size revenue opportunity by segment and geo
→Break down TAM by funding stage and company size
→Model penetration rate vs. remaining opportunity
→Refresh monthly or on-demand
Query: "What is the estimated TAM for
Series A–C SaaS in the Southeast,
broken down by stage and headcount?"
→ $24.7M estimated addressable revenue
When your AI Pack query surfaces 89 net-new ICP accounts, you have a choice: add them to a sequence and let your AEs slowly work through them, or activate the AI Contact Pack and reach all 89 within days — via LinkedIn, voice, and web contact forms.
The AI Contact Pack is particularly effective for technology teams running outbound to newly funded companies, where speed-to-contact directly impacts conversion. The company that reaches a newly funded startup first is the one that wins the evaluation.
✔ Outcome: Full-funnel pipeline from net-new ICP accounts
AI Contact Pack
→Target your net-new ICP accounts
→LinkedIn connection + message sequence
→AI voice outreach for high-priority accounts
→Website contact form submission
→Performance reporting — responses, meetings
Target: 89 net-new Series A–C accounts
Channels: LinkedIn + Voice
→ 71 LinkedIn contacts reached
→ 54 voice attempts
→ 12 responses / discovery calls booked
Signal Intelligence
The AI intelligence layer goes beyond firmographic data to surface the real-time signals that predict buying intent — before your competitors see them.
Surface companies that raised capital in the last 30, 60, or 90 days — filtered by round size, stage, and investor. Newly funded companies are actively building their tech stacks and have budget to do it.
"Fintech companies that raised $5M+ in the last 60 days in the Northeast US"
Identify companies that are rapidly adding headcount — especially in Sales, Revenue, or Operations roles. Hiring a VP of Sales is one of the strongest signals of an active buying window for any B2B SaaS product.
"Series B SaaS companies that added a VP Sales or CRO in the last 45 days"
Filter by the technology a company uses — or doesn't use. Target companies running competitive tools, find companies with gaps in their stack, or identify the companies in your ecosystem that are most likely to expand into your product category.
"Mid-market SaaS companies in the Midwest using HubSpot but not a dedicated CSP"
Use Cases
Replace static analyst estimates with a living TAM built from real company data. Size your market by segment, stage, and geography — refreshed any time.
AI Pack →Define your ideal customer profile and surface every matching company in the US that fits — including accounts your team has never seen and that aren't in any database you currently use.
Company List + AI Pack →Query companies by recent funding events. Find newly funded companies that are actively building their tech stack — your optimal buying window, surfaced before competitors can act.
AI Pack →For AEs with geographic or vertical territories: compare your CRM against the total ICP universe. See which segments or regions have untapped potential — and build campaigns to close the gap.
Company List + AI Pack →Filter companies currently using a competitor's platform. Identify accounts ripe for displacement — and approach them with specific messaging about what you offer that the competition doesn't.
AI Pack →Identify, enrich, and reach net-new ICP accounts via LinkedIn, voice, and web forms. Build pipeline from accounts that weren't in your CRM yesterday — at a speed no individual SDR can match.
AI Contact Pack →Who This Playbook Fits
The intelligence layer is configurable to any segment, stage, and go-to-market model. Here's how it maps to the most common technology company profiles.
Early Stage · Series A–B
You've found product-market fit and you're scaling outbound. Use STACK10X to build a complete ICP universe, identify signal-active accounts, and generate pipeline faster than your team can manually prospect.
"List every Series A SaaS company in the US with 20–100 employees that fits our ICP and isn't in our CRM."
Growth Stage · Series B–C
Your AEs have territories. Your RevOps team is trying to build a real TAM model. Use STACK10X to replace analyst estimates with real data, identify territory gaps, and automate top-of-funnel at scale.
"Build a territory TAM for each AE by geography, broken down by segment and company stage — refreshed quarterly."
Mature · Series C+
You know your ICP. You need to find more of them — across new geographies, new verticals, or new funding cohorts. Use STACK10X to expand into adjacent markets with intelligence-led campaigns.
"Show me companies in the manufacturing vertical that match our ICP but are not currently in Salesforce — ranked by fit score."
Any Stage
Tech stack intelligence is your competitive advantage. Use STACK10X to find companies using complementary tools, identify ecosystem expansion opportunities, and reach engineering-led buyers at newly funded startups.
"Which Series A–B companies in the US use AWS and Kubernetes but haven't adopted a secrets management tool?"
Where to Start
MOST POPULAR
Best for building your initial ICP universe — the complete baseline of companies that match your profile across target geographies. The foundation for every analysis that follows.
per 50K records + $500 platform fee
Get Company List →Core for Tech Teams
Best for signal-based prospecting, TAM modeling, CRM gap analysis, and any query that requires enrichment beyond basic firmographics. Ask complex questions in plain language — get ranked, enriched results instantly. This is the power tool for technology sales teams.
per usage block — add blocks as you scale
Get AI Pack →For Outbound Scale
Best for reaching net-new ICP accounts at scale — when your AEs can't personally reach 89 newly funded companies in time to win the evaluation. Full-funnel: LinkedIn, voice, and web form outreach, all measured.
per 50K records + $1,000 setup
Get Contact Pack →Need a live TAM model or recurring signal feed? Custom builds for continuous TAM monitoring, CRM-integrated intelligence, and segment-specific alert systems are available. Talk to our team →
Run your first AI Pack query and see the complete universe of ICP-fit companies in your target market — including the ones that raised funding last month that your competitors haven't called yet. Starting at $500. No contract.
Starting at $500 · Pay-as-you-go · No contract · Signal data refreshed continuously
Custom GTM intelligence for a sales team of any size selling into the US market. Verified company data, enrichment, scoring, and automated outreach across every core DMA.
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