Type a vertical and a city. Get complete, exclusive leads — name, phone, buying-signal — manufactured from data at near-zero cost.
A prompt-driven, vertical-agnostic lead-intelligence platform. One prompt fuses 25+ public + open-data sources and per-vertical intent overlays into a clean, complete, exclusive lead — name + phone + buying-signal — that no single source could give.
Apollo-scale, for high-intent local leads, across every vertical. Apollo and ZoomInfo own B2B contact data — but have no local/consumer intent and don't manufacture exclusive leads. We do, at ~$0.0015 each.
CONFIDENTIAL — 2026
Every local business needs new customers, every month, forever. The market that serves them sells shared, stale, intent-free leads at a brutal price — because reselling attention is the only thing the incumbents know how to do.
Angi, HomeAdvisor and Thumbtack sell the same form-fill to 3–5 competitors at once. Contact rates collapse to 15–30%. You're not buying a customer — you're buying a race against four other buyers for a lead that's already cold.
Data brokers have oceans of data and zero intent — demographic guesses ($0.001–0.01) that tell you who might own a home, never who needs the service right now. Without a buying-signal, a record is just noise.
The sales-intelligence giants ($1.6B / $12B) have rich B2B firmographic data — but no local consumer intent, no vertical-agnostic local lead manufacturing, and no real-time buying-signal. They can't tell you which homeowner has a problem today.
A paid customer on Meta/TikTok runs $200–600. Google LSA "qualified" calls cost $20–80. When 60–90% of a shared lead's value is gone before you act, the budget mostly funds the platform's resale margin — not your pipeline.
HeatSeak is a prompt-driven, vertical-agnostic lead-intelligence platform. You type a vertical and a geography; the engine fuses public data and per-vertical intent overlays into a complete, exclusive lead — name, phone, buying-signal — and delivers it through a dashboard, an API, or self-serve SaaS. The lead is manufactured from data, which is why it's exclusive and near-zero cost.
No single source is a lead. A business listing has a phone but no intent. A health-department violation has intent but no contact. A storm map has a hot zone but no household. Each is a puzzle piece.
Fusion creates the answer. We match partial signals on shared keys — time, geo, entity — to construct a complete, callable, provenance-labeled lead no provider has in inventory. Because we make it, it's exclusive and costs ~$0.0015.
The overlay is the only thing that changes. Swap the intent overlay / keyword set and the identical engine re-aims at pest, roofing, home services, real estate, or any high-intent local vertical — near-zero marginal cost per new vertical.
Brokers resell a record they bought, so the same lead lands on 3–5 desks. We fuse partials — Places + open-data + people-search + intent overlays, matched on geo and time — into a lead that exists nowhere else. Exclusivity isn't a policy we can be undercut on; it's a property of how the lead is made.
Public discovery via Places (~$0.001/lead), free people-search for phone append ($0), open-data intent overlays ($0). Blended cost lands at ~$0.0015 per clean lead. A lead that costs a sixth of a cent to build and sells for $20–600 is the asymmetry the whole platform rests on.
A single prompt drives the whole pipeline. The engine plans the query, fuses scattered sources into a real buying-signal, resolves the household, verifies the line, grades the lead, and delivers it — then loops to add more verticals and sources.
A live lead token travels Prompt → Fuse → Resolve → Verify → Score → Deliver, then loops back to add more verticals & sources.
Type any vertical + geography. A planner (Gemini) parses it into audience, vertical, geo, intent signals, and queries — the engine's whole run is driven by one natural-language prompt. No per-vertical code.
Pull B2B via Places (proven 10–35 clean companies/run), B2C homeowners via address→resident people-search, plus 25+ signal sources and per-vertical intent overlays (health-dept violations, NOAA hail data, and more). Matched on time + geo + entity.
From the fused signal, resolve the owner/household: name + phone appear in Places (public) or free people-search snippets. Validate + dedupe. Near-zero lead cost, ~95% phone yield on the B2B path.
Line-type verification confirms a real, reachable number (mobile vs landline vs VOIP) — the "verified" stamp that separates a deliverable lead from a guess. A clean number is what a buyer actually pays for.
Each lead is scored on intent strength, freshness, and completeness, then graded. Only complete leads — qualified + buying-signal + named + verified — pass the quality bar and ship. Over-scrape, deliver only what's complete.
Ship via the members dashboard, the public API (/api/v2/leads/discover?prompt=&target=N), or self-serve token SaaS. Same engine, three delivery surfaces — resold at margin.
| Stage | Input | Output | Live mechanic |
|---|---|---|---|
| Prompt | "any vertical + city" (NL) | Plan: audience/vertical/geo/intent/queries | Gemini planner |
| Fuse | Places + open-data + 25+ sources + overlays | A real buying-signal, geo+time matched | Serper ~$0.001/call |
| Resolve | Signal + address/business | Clean name + phone | Places (public) / free people-search |
| Verify | Resolved phone | Line-type verified number | Line-type lookup |
| Score | Fused, verified lead | Graded, ranked lead | Intent + freshness + completeness |
| Deliver | Complete lead | Dashboard / API / SaaS | resell at margin |
Not a spreadsheet of leads — a working platform. The engine runs live today; leads land in a members dashboard, flow out through a public API, and can be self-served on a token model. Three delivery surfaces, one fusion engine underneath.
heatseak_engine_v2.py — prompt-driven, vertical-agnostic, on cold-caller.mynewstaff.ai. Both the B2B Places path and the B2C storm-intent path are verified end-to-end.
Every lead in one view — graded, with the fused provenance behind each field. Login surface for the buyer to see, filter, and export complete leads.
/api/v2/leads/discover?prompt=&target=N — one call, any vertical, N clean leads back. The same engine, programmatically. This is the platform primitive.
Buy credits (Whop), type a prompt, get enriched + scored leads in seconds. 5–8 tokens per lead vs 1–2 of cost → 3–5x margin per transaction. The product sells itself, no sales team.
Vertical-specific landing pages already built — each speaks to a different buyer (pest, home services, real estate, and more), all feeding the same engine.
A working demo lets a prospect type a prompt and watch real leads resolve — proof, not a mockup. The engine's output is the pitch.
Why it matters to a buyer: they don't get a stale CSV — they get a live console (or one API call) that returns clean, complete, exclusive leads on demand, graded and provenance-labeled, for whatever vertical they sell into. Access model: dedicated per client — isolated data, the buyer's own keys. Shared engine, dedicated delivery.
The fusion + resolve + verify + score + deliver pipeline never changes. To enter a new vertical, we change one thing: the intent overlay / keyword set. That's why a new market is near-zero marginal cost — and why this is a platform, not a single-vertical lead shop.
The same engine, re-aimed by swapping the intent overlay — pest (proven), roofing/storm (NOAA hail), home services, real estate, and beyond.
Health-dept & sanitation violation overlays → the proven beachhead. The engine ran live here first; this is example vertical zero, not the product.
NOAA hail-storm overlay, nationwide. A hail event is a hot zone; we resolve the homeowners under it. Verified path, live.
HVAC, plumbing, electrical, restoration. Acute-need signals + Places resolution. Same engine, different keyword set.
Move/listing/ownership signals → buyers and sellers. Any high-intent local vertical drops into the same pipeline.
For 30 years, a qualified local lead meant a $20–80 shared form or an enterprise data subscription with no local intent. Three independent shifts hit maturity at the same moment and made manufactured-exclusive leads possible at near-zero cost.
Health-dept violations, NOAA storm data, municipal records, business listings — public, for $0, exposing exactly who has a problem and where. Our fusion engine stitches these partials + people-search into a complete lead no single source could give.
$5/lead in 2024 → a fraction of a cent now. Places discovery ~$0.001, free people-search for phone append, free open-data overlays. What used to be an enterprise budget line is now a rounding error — making resell-at-margin trivial.
An LLM planner turns a natural-language prompt into a full query plan — so one engine serves every vertical without per-vertical code. The thing that was a custom build per niche is now a prompt. That's what makes "Apollo-scale across all verticals" tractable for a small team.
We don't sell "data." We sell clean, exclusive, intent-scored leads — starting where intent is undeniable and the incumbents are weakest: high-intent local verticals, then re-aiming the same engine at every adjacent one.
Comps: Apollo $1.6B · Clay $1.3B · ZoomInfo $12B IPO. The lane: high-intent local leads — the slice Apollo/ZoomInfo's B2B-only data structurally can't reach. Engine already live, proven across multiple verticals.
~$0.0015 to produce → $20–600 to sell. Near-zero cost means the lead resells at margin in any vertical, with no shared-lead discount.
Incumbents: Google LSA $20–80, Angi $15–30 (shared 3–5x), Thumbtack $8–25. We deliver an exclusive, intent-scored lead at a fraction of the cost.
Margin holds across verticals because only the overlay changes — the cost structure is identical whether it's pest, roofing, or real estate.
| Vertical | Lead value | Same engine? | Intent overlay |
|---|---|---|---|
| Personal injury / legal | $250–600+ | ✓ | incident / social signals |
| Roofing / storm | $60–130 | ✓ | NOAA hail map |
| Home insurance | $40–80 | ✓ | move / property signals |
| HVAC / plumbing | $35–110 | ✓ | acute-need keywords |
| Real estate | $20–60 | ✓ | listing / ownership signals |
The market splits into three camps. Each has a structural flaw we don't share — and none of them produce a clean, exclusive, intent-scored, vertical-agnostic local lead at near-zero cost.
Apollo (~$1.6B), ZoomInfo ($12B IPO) have deep B2B firmographic data — but no local/consumer intent, no real-time buying-signal, and no vertical-agnostic local-lead manufacturing. They tell you a company exists; never which homeowner needs help today.
Sell the same self-reported form to 3–5 buyers — shared, stale, intent-thin, and expensive. Contact rates collapse; the buyer races four competitors for a cold lead. We deliver an exclusive, intent-scored lead they own alone.
Oceans of demographic data, sold cheap — and zero intent. They tell you who might qualify, never who's in-market now. We start from the buying-signal and fuse the household behind it.
| HeatSeak | Apollo / ZoomInfo | Angi / Thumbtack / LSA | Data brokers | |
|---|---|---|---|---|
| Cost / clean lead | ~$0.0015 | $49–800+/mo seats | $8–80/lead | $0.001–0.01 (no intent) |
| Intent / buying-signal | ✓ Real-time, fused | ✗ B2B firmographic only | Self-reported form (stale) | ✗ None |
| Local / consumer reach | ✓ Any local vertical | ✗ B2B only | Local, shared | Local, no intent |
| Exclusivity | ✓ Manufactured-exclusive | Shared DB | Shared 3–5 buyers | Resold widely |
| Vertical-agnostic | ✓ Swap the overlay | B2B only | Per-marketplace | Generic lists |
| Complete (name+phone+signal) | ✓ Verified, scored | Email-first, no signal | Form only | Demographic only |
| Delivery | Dashboard · API · SaaS | SaaS / API | Marketplace | List export |
Apollo/ZoomInfo have data, no local intent. We have both, fused on a real-time buying-signal, for consumers and local businesses.
Angi/Thumbtack/LSA have local leads, but shared and stale. Ours are manufactured-exclusive and intent-scored — the buyer owns them alone.
Data brokers have data, no intent. We start from the signal. And we re-aim across every vertical by swapping a config — a reseller renegotiates supply for each one.
Honest flag: any one layer is replicable — enrichment, listings, a single overlay. The defensible thing is the full fusion stack + per-vertical intent overlays + vertical-agnostic prompt engine assembled into a manufactured-exclusive lead at near-zero cost. That combination is what no incumbent has, and it's already live.
The demand side isn't a hypothesis we have to create — it's a proven, recurring spend the incumbents already harvest. Our job is to deliver the same buyers a cleaner, exclusive, intent-scored lead at a fraction of the cost. Here's exactly who pays.
Home-service SMBs & contractors — plumbing, HVAC, roofing, electrical, restoration. Fragmented, can't run sophisticated marketing, structurally addicted to a steady flow of new jobs. Most spend $500–$10,000/mo on digital marketing (Workiz/WebFX).
PI / legal firms — the richest lead vertical. Avg PI firm pays ~$284/lead, ~$468/signed case; exclusive leads $250–$600+ (First Page Sage 2026, $3.3M-spend study).
Real estate & insurance — agents and carriers buying intent on movers, owners, and property events. Lifetime policy/commission value justifies premium per-lead pricing.
Agencies, resellers & self-serve users — buy in bulk via the token SaaS, mark up, and route to their own SMB clients. The whole performance-lead economy runs on this.
| Vertical | Lead value | Buyer | Why they pay |
|---|---|---|---|
| Personal injury / legal | $250–$600+ (avg $284/lead) | PI firms | One signed case = thousands in fees |
| Water damage / remediation | $80–$180 | Restoration cos | High-ticket emergency jobs |
| Roofing / storm | $60–$130 | Roofers | $10K+ average job |
| HVAC / plumbing | $35–$110 | Trades | Recurring + install revenue |
| Insurance (home/auto/health) | $20–$200+ | Carriers/agents | Lifetime policy value |
| Real estate | $20–$60 | Agents | Commission on close |
Sourcing: $657B is Angi's own self-published TAM estimate (independent US home-services estimates span ~$475–842B by methodology). Per-vertical payouts blend SearchLight/BlueGrid LSA benchmarks, Service Direct, and First Page Sage — directional industry figures, not audited.
The data sources are commodities. The moat is the layers we stacked on top — each compounds, none is on a price list, and the gap widens every day we operate and every vertical we add.
Most tools resell a record they bought. We construct one — partial public signals fused with people-search into a complete, callable, provenance-labeled lead no provider has in inventory. A competitor who loses API access loses their product; the source we depend on is the public record itself.
The hard part isn't the data — it's knowing which signal means in-market now for each vertical (a health-dept fail for pest, a hail polygon for roofing, a move event for insurance). Each overlay is hard-won IP, and the library compounds: every vertical we map makes the next one cheaper.
One prompt-driven engine serves every vertical with no per-vertical code. A reseller renegotiates supply for each new market; we change a config. That turns "Apollo-scale across all verticals" from a 100-person build into a small-team reality.
~$0.0015/lead means we undercut every incumbent on price and sell an exclusive lead. Exclusivity is a property of how the lead is made, not a policy we can be undercut on. The cost edge is 50–250x at the top of the funnel.
| Source | Cost / Lead | Notes |
|---|---|---|
| HeatSeak — open-data fusion + free people-search | ~$0.0015 | the platform unit |
| HeatSeak + optional skip-trace | ~$0.07 | 85% phone-verified |
| Angi / HomeAdvisor (shared) | $15–30 | 20–30% contact |
| Google LSA | $20–80 | per lead, ~45% unbookable |
| Apollo / ZoomInfo | $49–800+/mo | seats; B2B, no local intent |
No enterprise sales team. The product is a self-serve token SaaS that demonstrates value in one prompt — distributed through creator clips and an existing 50-country network, both an order of magnitude cheaper than Meta's $200–600 CAC.
The product sells itself: type a prompt, watch real leads resolve, buy tokens. Creators paid $0.10 / 1,000 views drive trials at an effective CAC of pennies vs Meta's $200–600. The hook writes itself — "type any vertical + city, get clean leads in seconds."
| Clipper budget | Views | Paid users | New MRR | Effective CAC |
|---|---|---|---|---|
| $5K | 50M | 192 | $17,088 | ~$26 |
| $15K | 150M | 576 | $51,264 | ~$26 |
| $25K | 250M | 960 | $85,440 | ~$26 |
The one number that closes it: at $0.10/1K, $1 of spend returns ~$3.42 of MRR inside 30 days. Even at 10x hotter ($1.00/1K), the channel stays LTV-positive.
The unfair advantage. 50+ leaders across 50 countries, each 1,000–50,000 followers, activated via a recurring affiliate — zero ad budget. 50 affiliates × 100–500 users = 5,000–25,000 users at $0 CAC. Directive: affiliate-first — prove a cohort before scaling paid.
Deliberately the backstop. Target $5–12 CPL, 4x ROAS within 60 days. Turned on only once a channel clears the unit-economics gate (6%+ trial-to-paid, payback <90 days). Paid spend follows proof, never precedes it.
| Channel | CAC / paid user | vs. Meta | Budget posture |
|---|---|---|---|
| Klemen affiliate network | $0 | ∞ cheaper | activate first |
| Clippers @ $0.10/1K | ~$26 | 6–23x cheaper | scale on green-light |
| Meta / TikTok ads | $200–600 | baseline | secondary throttle |
Don't take our word for the lead economics. Drag the inputs and watch the math — pure lead supply, no transfers, no call layer.
The core asymmetry: it costs ~$0.0015 to produce a clean lead and sells for $20–600. Set your cost, sell price, and monthly volume — see margin per lead, monthly volume, revenue, and gross margin.
A clean, exclusive, intent-scored HeatSeak lead converts far better than a shared broker lead split across 3–5 buyers. Compare effective value per lead — and the multiple the buyer actually gets.
The platform line: leads produced per day, sell price, and our cost set monthly revenue, gross margin, and our take. Pure lead supply + token SaaS — no transfers, no call minutes.
The whole business hinges on one asymmetry: a clean, complete, exclusive lead costs a fraction of a cent to manufacture and sells for $20–600. Everything else is upside.
Over-scrape → resolve → verify → grade. Only complete, verified leads ship — quality is the filter. (Illustrative — model your own in the calculators above.)
Lead cost ~$0.0015. Fused from free open-data + Places (~$0.001) + free people-search. Optional skip-trace ~$0.07/lead for 85% phone-verified.
2,000 leads/day at ~$3/day all-in. Throughput proven; cost scales linearly and stays near-zero.
Sells for $20–600. Depending on vertical — a clean exclusive lead commands a premium over shared broker leads.
Supply gross margin. No human agents in the loop; the engine runs autonomously. Cost stays flat as quality and volume climb.
| Cost to produce (fused) | ~$0.0015 |
| Optional skip-trace | ~$0.07 |
| Sell price (vertical-dependent) | $20–600 |
| Margin / lead (at $35) | ~$34.998 |
| Gross margin (supply) | ~98%+ |
vs the market: ~$0.0015/lead vs $20–80 LSA, $15–30 Angi, $8–25 Thumbtack. 50–250x cheaper at the top of the funnel — and the lead is exclusive and intent-scored.
One engine, two revenue models — so we capture both the operator who wants exclusive leads delivered and the self-serve user who wants the tool. Both at near-zero marginal cost.
Deliver clean, exclusive, intent-scored leads to operators per-vertical via dashboard or API. Cost ~$0.0015, sell $20–600 depending on vertical — a structural ~98%+ supply margin. Each buyer's leads are theirs alone.
Type a prompt, spend tokens, get enriched + scored leads in seconds. 5–8 tokens per lead vs 1–2 of cost → 3–5x margin per transaction. Tiers + credit packs. Network-effect product that compounds — the Apollo-scale platform line.
| Revenue / lead (tokens) | $0.40–0.80 |
| Cost / lead (fused) | ~$0.0015–0.08 |
| Gross margin / lead | 80–95% |
| Monthly usage / active user | 200–500 leads |
| Effective ARPU | $89–249/mo |
Exclusive supply gives predictable cashflow from operators today; the token SaaS gives a network-effect product that compounds into the Apollo-scale platform. The same fusion + overlay + score engine powers both — so a dollar of R&D pays off across every revenue line and every vertical.
Discipline is the story: every dollar of capital is unlocked only after the prior milestone is proven. No blind scaling. ARPU holds ~$89 across the self-serve curve; exclusive-supply contracts layer on top.
ARPU holds ~$89 across the curve. M12 cumulative revenue $4.1M · M24 cumulative $33.9M. Multi-vertical expansion adds revenue lines on the same infrastructure.
| Round | Amount | Timing | Gate to unlock next |
|---|---|---|---|
| R1 Seed (open now) | $200K | Mo 0–3 | 500 users · $45K MRR · positive unit economics |
| R2 Growth | $400K | Mo 4–8 | 3,000 users · $250K MRR · 2+ profitable channels |
| R3 Scale | $600K | Mo 9–14 | 10,000 users · $800K MRR · 3+ verticals live |
| R4 Domination | $500K | Mo 15–20 | 25,000 users · $2M MRR |
| R5 War Chest | $300K | Mo 21–24 | $3M+ MRR · Series A ready · $50–100M val |
→ $1–1.5M on the 10%
→ $5–10M on the 10%
stake → 8%
Full $2M across all rounds → blended 25–30% equity → at a $50–100M exit, a 25% stake = $12.5–25M (6.25–12.5x). Comparable exits: Apollo.io $1.6B (16x ARR), Clay $1.3B (50x ARR), ZoomInfo $12B IPO (40x ARR), Instantly ~$100M (8x ARR).
Not a pitch for what we'll build — a working engine producing clean name + phone + buying-signal leads for any vertical, with a dashboard, an API, landing pages, and a live demo deployed.
heatseak_engine_v2.py on cold-caller.mynewstaff.ai, public endpoint /api/v2/leads/discover?prompt=&target=N. Prompt-driven, vertical-agnostic, returning clean name + phone + buying-signal at near-zero cost.
B2B via Places (proven 10–35 clean companies per run) and B2C homeowners via storm-intent (NOAA hail → address→resident) are both verified end-to-end. Same engine, two delivery paths.
684 clean callable leads produced in a single NYC vertical run; 2,000 leads/day sustainable at ~$3/day all-in. Quality is the filter — only complete, verified leads ship.
Fuses 25+ partial public-record signals + intent overlays + people-search into a complete, provenance-labeled lead no single source could produce. Vertical-agnostic by construction.
A login surface showing every lead graded with provenance, plus the public discovery API. Self-serve token SaaS on the same engine.
Vertical-specific landing pages and a working demo where a prospect types a prompt and watches real leads resolve — proof, not a mockup.
We could sell lead-gen as a service to one company at a time. It pays the bills, but it caps at a payroll. Building the platform — a self-serve, vertical-agnostic lead engine — is the harder thing, and that difficulty is the moat. It's the only path to a unicorn outcome.
| Dimension | Software Platform (what we're building) | Lead-gen Agency / Services shop |
|---|---|---|
| Priced on | Revenue multiple (SaaS median ~8.5x, 2026) | EBITDA multiple (3–6x; ~0.7–2.3x revenue) |
| Gross margin | 80–95% (near-zero lead cost) | 10–20% net; 50–60% blended delivery |
| Cost of next customer | ~$0 marginal | ~proportional new labor |
| Cost of next vertical | ~$0 (swap the overlay) | renegotiate supply each time |
| Revenue type | Recurring (subscription/usage) | Non-recurring retainer, 30-day cancel |
| Scaling shape | Leveraged (Rule of 40 applies) | Linear |
| Real comparable | ZoomInfo 1.8x rev / 84% GM (even depressed) | WPP 0.7x rev (largest agency on earth) |
Healthy SaaS trades at ~8.5x revenue (2026). The world's largest ad agency, WPP, trades at 0.7x. Even a depressed lead-gen platform — ZoomInfo at 1.8x revenue, 84% gross margin — is priced richer than the best-run agency holding company alive. The same revenue dollar is worth ~3x (vs depressed platform) to ~10x+ (vs healthy SaaS) more inside a platform.
You sell hours. Every new revenue dollar needs a new labor dollar. Margins cap at 10–20% net; growth is linear.
The asset walks out nightly. Clients cancel at 30 days; the moat is a personal relationship that exits with the account lead.
Concentration discount. Top client >20% of revenue = automatic valuation haircut. Exits at 3–6x EBITDA if you can sell at all.
This is not a bet on a new market — it's a more capital-efficient, more defensible way to capture a market that has already produced multiple generations of billion-dollar outcomes. The pattern is clear, and we fit it.
| Generation | Company | Vertical | Value | What it owned |
|---|---|---|---|---|
| Data intelligence | Apollo.io | B2B sales data | $1.6B | The contact data (B2B) |
| Data intelligence | ZoomInfo | B2B sales data | $12B IPO | The contact data (B2B) |
| Lead marketplace | Thumbtack | Home services | $3.2B (2021) | The lead, >90% GM |
| Transaction OS | ServiceTitan | Trades/contractors | IPO ~$6.3B → ~$8.9B day-1 | The whole job, >110% NDR |
| AI-native vertical | EvenUp | Personal-injury law | $1B → $2B+ (Oct 2025) | The workflow, AI |
| AI agents | Sierra / Decagon | AI agents | $15.8B / $4.5B | AI does the work |
Apollo $1.6B, ZoomInfo $12B, Clay $1.3B — the market is paying unicorn prices for sales/lead intelligence. We attack the slice they can't reach: high-intent local leads, every vertical.
EvenUp (AI for personal-injury — an exact adjacent vertical) went $1B+ → $2B+ in under a year (Bessemer, Oct 2025).
Bessemer + Euclid: AI-native vertical companies hit $100M ARR faster than any prior SaaS generation — "particularly in legal, healthcare, and housing." That's the lane.
A thin data wrapper fetches ~8x ARR.
Genuine fusion + proprietary intent overlays + defensibility fetches up to 25x; a proprietary data loop pushes higher (Capitaly vertical-AI comp sheet, Feb 2026).
A vertical-agnostic engine that manufactures an exclusive, intent-scored lead no provider sells, across every vertical, is the textbook proprietary-data moat — the engine that re-rates a lead-gen company into a data-intelligence platform. We plug into proven willingness-to-pay at a fraction of incumbent CAC.
Honest pre-empt: private valuations (EvenUp, Sierra, Decagon, Apollo's $1.6B, Thumbtack's $3.2B 2021 mark, ZoomInfo's $12B IPO) are confirmed via funding/IPO announcements; circulating ARR multiples are directional estimates, labeled as such. The platform build is genuinely hard — the cold-start and the overlay R&D are real; that difficulty is exactly the moat.
The rare combination: someone who can build the engine, and someone who can distribute it across 50 countries at $0 CAC.
Built the entire platform — the prompt-driven fusion engine, the intent overlays, the scoring, the members dashboard, the API, the self-serve SaaS. Full-stack (Next.js, Supabase, VPS, AI automation). Track record: $8.5M revenue across 5 clients, 10x build speed. Full-time.
Capital partner + the distribution moat: 50+ leaders across 50 countries, built over 15 years, each 1,000–50,000 followers → $0-CAC affiliate army for the self-serve product. Slovenian Government COVID partnership (saved 50% taxpayer money, 100% success).
We're raising $2M across 5 milestone-gated rounds, opening with a $200K Seed at a $2M pre-money (10% equity). Capital is released only as each milestone is proven — the investor's downside is structurally capped.
| Product (self-serve, auth, billing, Stripe) | $40K |
| Clippers (10–15 creators) | $35K |
| Meta + TikTok test | $30K |
| API credits + new-vertical overlays | $25K |
| Luka stipend (3 mo) | $20K |
| Affiliate launch | $20K |
| Infra + DevOps | $15K |
| Legal + contingency | $15K |
| Total | $200K |
500 paying users, $45K MRR, positive unit economics — proven before another dollar is asked for.
Worst case: $75K max loss, kill-switch at Month 4 if MRR isn't tracking. The engine already exists and runs live, so seed capital buys distribution and new verticals, not invention.
The market: $127B Sales & Lead Intelligence TAM, growing 15% YoY. Buyers over-pay for cold, stale, intent-free lists. We sell clean, exclusive, intent-scored leads, for any vertical.
The engine is universal. Only the overlay changes — pest, roofing/storm, home services, real estate, insurance, legal. Apollo-scale ambition, pointed at the local-intent slice the giants can't reach.
The moat compounds: the fusion engine, the per-vertical intent-overlay library, the vertical-agnostic prompt engine, near-zero cost, manufactured-exclusive supply, and Klemen's 50-country distribution.
On Sales Intelligence comps of 4–16x ARR (Apollo, Clay, ZoomInfo).
A viable $2–5M/yr business with a credible $15–25M acquisition exit in 3–4 years — and a real shot at far more if the network and the multi-vertical engine compound. We plan for conservative, and we're built to celebrate moderate. Exit paths: cash-flow business · Series A at $35–80M (M12–18) · acquisition to Apollo/ZoomInfo at 4–8x ARR (M18–36) · IPO track at $100M+ ARR.
We're past the "will it work" question — the engine produces clean, complete, exclusive leads for any vertical, live, today. The next steps are about volume and verticals, not validation.
Live today: prompt-driven fusion engine · public discovery API · 684 clean leads proven in one run · 2,000/day at ~$3/day · B2B Places + B2C storm paths verified · members dashboard · 6 ICP landing pages · live demo.
Sign per-vertical buyers — exclusive lead delivery via dashboard/API
Add intent overlays — roofing, insurance, legal, real estate
Quality gate — only complete, verified leads ship
Dedicated-per-client delivery — isolated data, buyer's own keys
Legal (LLC) · ship self-serve token MVP (Whop credits, "already 70% built")
First 3 clipper contracts ($5K) · Klemen activates first 10 affiliates
Launch $5K ad test on the self-serve hook
First paying users → Gate 1 check (500 trials, 3+ clippers live)