Token-based lead enrichment platform. Find any business owner's direct phone, email, and intent signals. Self-serve SaaS with network effects.
Real-time lead intelligence. Users input an industry + location, get enriched leads with direct contact info, FIRE scores, and actionable insights β in seconds.
Not a wireframe. Not a mockup. This is what heatseak looks and feels like across every device β a super app that makes lead intelligence feel effortless.
Not building for VC fantasy. Building for real businesses buying leads today β roofers, agencies, coaches, recruiters, MLM leaders.
| Segment | Size | Willingness to Pay |
|---|---|---|
| Home Services (roofing, HVAC, plumbing) | 2.1M businesses | $80-400/lead currently |
| Digital Agencies | 180K agencies | $500-2000/mo on tools |
| Coaches/Consultants | 1.4M solopreneurs | $29-199/mo on leads |
| Recruiters | 350K firms | $200-1000/mo on data |
| Network Marketing Leaders | 500K top earners | $20-100/mo tools |
| Competitor | Price | Our Edge |
|---|---|---|
| Apollo.io | $49-119/mo | Stale data, no real-time enrichment |
| ZoomInfo | $15K+/yr | Enterprise pricing, complex |
| Clay | $149-800/mo | Complex setup, dev-heavy |
| Instantly | $30-97/mo | Email-only, no discovery |
| LeadMagic | $99-299/mo | API-only, no UX |
Three channels. Staggered launch. Creator-led growth backed by paid amplification. No sales team.
| Stage | Conservative | Moderate | Optimistic |
|---|---|---|---|
| Monthly Views (clippers @ $0.10/1K) | 50M ($5K) | 150M ($15K) | 300M ($30K) |
| Click-through rate | 0.08% | 0.12% | 0.18% |
| Landing page visitors | 40,000 | 180,000 | 540,000 |
| Trial signup rate | 8% | 12% | 15% |
| Monthly trials | 3,200 | 21,600 | 81,000 |
| Trial β Paid (21-45 days) | 6% | 10% | 14% |
| New paying users/month | 192 | 2,160 | 11,340 |
| Monthly churn | 12% | 8% | 5% |
Same funnel assumptions (0.08% CTR β 8% trial signup β 6% trial-to-paid β $89 ARPU). Only the cost-per-view changes.
| Metric | $0.10 / 1K views | $1.00 / 1K views |
|---|---|---|
| Cost per 1M views | $100 | $1,000 |
| β $5K/month budget β | ||
| Total reach | 50,000,000 views | 5,000,000 views |
| Landing page visitors (0.08% CTR) | 40,000 | 4,000 |
| Trial signups (8%) | 3,200 | 320 |
| Paying users (6%) | 192 | 19 |
| Monthly MRR generated | $17,088 | $1,691 |
| Month 1 ROI (MRR Γ· spend) | 3.4x | 0.34x (negative) |
| LTV return ($712 Γ users) | $136,704 (27x) | $13,528 (2.7x) |
| β $15K/month budget β | ||
| Total reach | 150,000,000 views | 15,000,000 views |
| Landing page visitors (0.08% CTR) | 120,000 | 12,000 |
| Trial signups (8%) | 9,600 | 960 |
| Paying users (6%) | 576 | 58 |
| Monthly MRR generated | $51,264 | $5,162 |
| Month 1 ROI (MRR Γ· spend) | 3.4x | 0.34x (negative) |
| LTV return ($712 Γ users) | $410,112 (27x) | $41,296 (2.75x) |
| β $25K/month budget β | ||
| Total reach | 250,000,000 views | 25,000,000 views |
| Landing page visitors (0.08% CTR) | 200,000 | 20,000 |
| Trial signups (8%) | 16,000 | 1,600 |
| Paying users (6%) | 960 | 96 |
| Monthly MRR generated | $85,440 | $8,544 |
| Month 1 ROI (MRR Γ· spend) | 3.4x | 0.34x (negative) |
| LTV return ($712 Γ users) | $683,520 (27x) | $68,352 (2.7x) |
Every number in this model is sourced from industry data. Here's why each assumption applies to Heatseak specifically.
| Assumption | Our Number | Industry Source | Why It Applies to Us |
|---|---|---|---|
| Clipper Rate | $0.10 - $1.00 per 1K views | Clipper programs (Opus Clip, Spotter, Clipping agencies) pay $0.05-$2.00/1K. Finance/business niche pays higher ($0.50-$2). Viral/entertainment pays lower ($0.05-$0.20). | Our product is a "wow" demo tool (find anyone's phone in 10 seconds). Content is viral-friendly, not dry B2B. Creators will get volume β we're closer to the $0.10-$0.50 range because the content performs like entertainment, not business. |
| CTR (Click-through) | 0.08% (conservative) | TikTok/Reels average CTR for product demos: 0.1-0.3% (Dash Hudson 2025). B2B SaaS content: 0.05-0.15%. Viral hooks ("I found the CEO's phone number"): 0.2-0.5%. | We use 0.08% to be conservative. Our hook is inherently curiosity-driven ("watch me find this business owner's direct phone"). Industry average is higher. If we hit 0.15% (still below average), numbers double. |
| Trial Signup Rate | 8% of landing page visitors | B2B SaaS free trial conversion: 3-10% (Unbounce 2024 Conversion Benchmark Report). Self-serve tools with instant value: 8-15%. Apollo: ~10%. Instantly: ~12%. | Free trial with 50 free tokens = no friction. User sees the demo in the clip, lands on page, gets free credits instantly. No credit card required for trial. 8% is the floor for this model β competitors with similar hooks get 10-15%. |
| Trial β Paid | 6% (conservative) | Freemium SaaS: 2-5% (OpenView 2024). Free trial (no CC): 8-12%. Free trial (CC required): 25-60%. Product-led growth tools: 5-15% (Lenny Rachitsky benchmark). | We model no-CC trial at 6% β below the 8-12% benchmark. Why conservative: our users are SMB (roofers, coaches) who may not understand the tool instantly. If we add CC-required trial later, this jumps to 25%+. Our 6% accounts for lower tech literacy of target audience. |
| ARPU (Average Revenue Per User) | $89/month | Sales intelligence ARPU: Apollo $79/mo avg, Instantly $63/mo, Clay $249/mo, ZoomInfo $1,250+/mo. B2B SaaS SMB average: $50-150/mo (SaaS Capital 2024). | Blended across our tiers: Starter $49 (40% of users) + Pro $149 (45%) + Scale $349 (10%) + token top-ups (5% extra). Weighted average = $89. Conservative because we're not counting enterprise tier or one-time token purchases above plan. |
| Monthly Churn | 8-12% | SMB SaaS monthly churn: 3-8% (Recurly benchmark 2024). Self-serve tools: 5-12%. Sales intelligence tools: 5-10% (high when leads dry up). First-year products: 10-15%. | We model 12% conservative (Year 1 product, SMB users, token exhaustion causes pauses). 8% moderate assumes product improvement + habit formation. Industry tools with clear ROI (leads = money) retain better than average SaaS. Target: get below 8% by month 6 with engagement features. |
| LTV (Lifetime Value) | $712 per user | LTV = ARPU Γ· churn. $89 Γ· 12.5% monthly churn = 8 months avg lifespan Γ $89 = $712. Industry: Apollo ~$900, Instantly ~$500, Clay ~$2,000+. | $712 is conservative because: (1) uses highest churn rate, (2) doesn't include token upsells, (3) doesn't include plan upgrades over time. Real LTV likely $900-1,200 once product matures and users adopt higher tiers. |
| Gross Margin | 78-85% | SaaS industry median: 75% (KeyBanc 2024). Data/enrichment companies: 60-80% (API costs). Apollo: ~82%. ZoomInfo: ~87%. Clay: ~75%. | Our cost: 1-2 tokens per enrichment (API waterfall), charge 5-8 tokens. Gross margin per lead: 75-85%. Factor in failed lookups (10-20% failure = wasted API cost), hosting, and infrastructure β blended 78%. Could improve to 85%+ with volume discounts from data providers. |
| CAC Payback Period | 9 days ($0.10) / 90 days ($1.00) | Best-in-class SaaS: <6 months (Bessemer Cloud Index). Median: 15-18 months. Self-serve PLG: 3-9 months. Companies with viral distribution: <3 months. | At $0.10/1K: CAC = $26/user ($5K Γ· 192 users). Payback = $26 Γ· $89/mo = 0.29 months = 9 days. Absurd efficiency β indicates we should scale spend aggressively. At $1/1K: CAC = $263/user. Payback = $263 Γ· $89 = 2.95 months. Still excellent vs. industry 15-18mo average. |
| Meta Ads CAC (comparison) | $200-600 per paid user | B2B SaaS Meta CAC: $150-800 (Databox 2024). SMB tools: $100-400. High-intent B2B: $400-1,200. Self-serve with free trial: $150-350. | We use $200-600 range for comparison. Why clippers beat ads: no ad creative fatigue, no iOS tracking issues, no audience saturation, content is native (not interruptive), and social proof is built into the format (creator vouches for product). |
Even if we're off on multiple assumptions, the model still works:
Three scenarios. Conservative assumes everything takes 2x longer and converts 50% worse than expected. No hockey sticks.
| Category | Month 1-3 | Month 4-6 | Month 7-12 | Total Y1 |
|---|---|---|---|---|
| Product Dev (Luka's time) | $0* | $0* | $0* | $0* |
| Infrastructure (APIs, hosting) | $2,400 | $4,800 | $12,000 | $19,200 |
| Clippers ($0.10/1K views) | $3,000 | $5,000 | $15,000 | $23,000 |
| Meta/TikTok Ads | $10,000 | $20,000 | $60,000 | $90,000 |
| Affiliate payouts | $0 | $3,000 | $18,000 | $21,000 |
| Legal/Compliance | $3,000 | $1,000 | $2,000 | $6,000 |
| Contingency (15%) | $2,760 | $5,070 | $17,850 | $25,680 |
| TOTAL | $21,160 | $38,870 | $130,850 | $190,880 |
*Luka's dev time is sweat equity (50% ownership), not cash investment.
| Month | Paying Users | MRR | Cumulative |
|---|---|---|---|
| Month 1 | 0 | $0 | $0 |
| Month 2 | 15 | $1,335 | $1,335 |
| Month 3 | 85 | $7,565 | $8,900 |
| Month 4 | 180 | $16,020 | $24,920 |
| Month 5 | 310 | $27,590 | $52,510 |
| Month 6 | 480 | $42,720 | $95,230 |
| Month 7 | 650 | $57,850 | $153,080 |
| Month 8 | 840 | $74,760 | $227,840 |
| Month 9 | 1,050 | $93,450 | $321,290 |
| Month 10 | 1,280 | $113,920 | $435,210 |
| Month 11 | 1,520 | $135,280 | $570,490 |
| Month 12 | 1,800 | $160,200 | $730,690 |
| Category | Month 1-3 | Month 4-6 | Month 7-12 | Total Y1 |
|---|---|---|---|---|
| Infrastructure | $3,000 | $8,000 | $24,000 | $35,000 |
| Clippers ($0.10/1K views) | $5,000 | $10,000 | $30,000 | $45,000 |
| Meta/TikTok Ads | $15,000 | $40,000 | $120,000 | $175,000 |
| Affiliate payouts | $2,000 | $12,000 | $60,000 | $74,000 |
| 1 Support Hire (Month 4+) | $0 | $9,000 | $18,000 | $27,000 |
| Legal + Compliance | $5,000 | $2,000 | $3,000 | $10,000 |
| Contingency (15%) | $4,950 | $14,400 | $47,250 | $66,600 |
| TOTAL | $37,950 | $110,400 | $362,250 | $510,600 |
| Month | Paying Users | MRR | Cumulative |
|---|---|---|---|
| Month 1 | 0 | $0 | $0 |
| Month 2 | 50 | $4,450 | $4,450 |
| Month 3 | 250 | $22,250 | $26,700 |
| Month 4 | 600 | $53,400 | $80,100 |
| Month 5 | 1,100 | $97,900 | $178,000 |
| Month 6 | 1,800 | $160,200 | $338,200 |
| Month 7 | 2,600 | $231,400 | $569,600 |
| Month 8 | 3,500 | $311,500 | $881,100 |
| Month 9 | 4,500 | $400,500 | $1,281,600 |
| Month 10 | 5,600 | $498,400 | $1,780,000 |
| Month 11 | 6,800 | $605,200 | $2,385,200 |
| Month 12 | 8,200 | $729,800 | $3,115,000 |
| Category | Month 1-3 | Month 4-6 | Month 7-12 | Total Y1 |
|---|---|---|---|---|
| Infrastructure | $5,000 | $15,000 | $50,000 | $70,000 |
| Clippers ($0.10/1K views) | $10,000 | $20,000 | $60,000 | $90,000 |
| Meta/TikTok Ads | $25,000 | $75,000 | $250,000 | $350,000 |
| Affiliate payouts | $5,000 | $30,000 | $150,000 | $185,000 |
| Team (2-3 hires) | $0 | $18,000 | $72,000 | $90,000 |
| Legal/Compliance/IP | $8,000 | $5,000 | $7,000 | $20,000 |
| Contingency (15%) | $8,700 | $28,950 | $106,350 | $144,000 |
| TOTAL | $66,700 | $221,950 | $815,350 | $1,104,000 |
| Month | Paying Users | MRR |
|---|---|---|
| Month 3 | 800 | $71,200 |
| Month 6 | 5,500 | $489,500 |
| Month 9 | 14,000 | $1,246,000 |
| Month 12 | 25,000 | $2,225,000 |
Optimistic assumes viral product-market fit similar to Instantly's 2023 trajectory (0 β 30K users in 12 months). Requires everything going right + some luck.
Two-person core. Asymmetric skillsets. Maximum leverage. No dead weight.
| Role | When | Trigger | Cost |
|---|---|---|---|
| Customer Success / Support | Month 4-5 | 500+ paying users | $3,000/mo (offshore) |
| Growth Marketer | Month 6-7 | $100K MRR | $5,000/mo + performance |
| Backend Engineer | Month 8-9 | Scale issues / 5K+ users | $6,000/mo (offshore) |
| Clipper Manager | Month 5-6 | 10+ active clippers | $2,500/mo + bonus |
Ship fast. Measure everything. Double down on what works. Kill what doesn't.
SaaS valuations are driven by ARR Γ multiple. Multiples depend on growth rate, retention, and market size.
| Company | Category | Time to Scale | Exit/Valuation | Multiple |
|---|---|---|---|---|
| Apollo.io | Sales Intelligence | 4 years | $1.6B (2024) | 16x ARR |
| ZoomInfo | B2B Data | 7 years | $12B IPO (2020) | 40x ARR |
| Instantly.ai | Email + Leads | 2 years | ~$100M+ valuation | 8x ARR |
| Clay | Data Enrichment | 3 years | $1.3B (2024) | 50x ARR |
| Lemlist | Outreach | 3 years | ~$150M valuation | 12x ARR |
No wishful thinking. Here's the real risk matrix and our mitigations.
| Risk | Probability | Impact | Mitigation |
|---|---|---|---|
| Low trialβpaid conversion (<3%) | Medium | High | Gate 2 kill switch at Day 60. Pivot product before burning more cash. |
| API provider price hikes | Medium | Medium | Multi-provider waterfall. No single dependency. Renegotiate at volume. |
| Competitor launches same product | Low | Medium | Speed to market + creator distribution moat. First with virality wins. |
| Clipper channel doesn't work | Medium | Medium | Three channels. If clippers fail, double down on ads + affiliates. |
| Partner disagreement | Low | High | Clear domain split (product vs. distribution). Vesting + operating agreement. |
| Compliance/legal (data privacy) | Medium | High | GDPR/CCPA compliant from day 1. Legal review before launch. Terms clear on data sources. |
| Total failure (product doesn't sell) | Low | High | Max downside capped at $75K (split = $37.5K each). Kill switch at Month 4. Existing clients keep running regardless. |
Prepared by Luka Lah β MyNewStaff.ai | May 2026
This document contains forward-looking projections based on industry benchmarks and comparable company performance. Actual results may vary. Conservative scenario represents base-case expectations.
Independent M&A-grade assessment. No cheerleading. Real talk from real experts.
| Expert | Verdict | Top Concern | Top Opportunity |
|---|---|---|---|
| M&A Advisor | CONDITIONAL | No proprietary data moat β enrichment is replicable | Affiliate distribution network is genuinely unusual & acquirable |
| SaaS CFO | CONDITIONAL | Real margin is 50-60% after failed lookups, not 75%+ | Token + subscription model creates predictable base + usage upside |
| Growth Marketing VP | CONDITIONAL | B2B clipper model unproven β B2B content rarely goes viral | MLM network = pre-qualified "biz opp" audience, best channel by far |
| Product Strategist | PASS* | Zero moat β Clay/Apollo can replicate in weeks | Go vertical (home services or MLM tools) for defensibility |
| VC Partner | PASS | Lifestyle business framed as venture-scale; 50/50 governance concern | Don't need VC β bootstrap to $1-2M ARR without dilution |
| Legal/Compliance | CONDITIONAL | GDPR minefield β personal phone/email across 50 countries | Compliance done right = enterprise sales advantage vs. competitors |
| Operations Expert | CONDITIONAL | 2-person ceiling at ~$80K MRR β breaks without hires | AI-powered support can extend ceiling to $120K MRR |
| Consumer Psychologist | CONDITIONAL | Roofers/coaches don't naturally adopt self-serve SaaS | MLM audience is psychologically primed for tool adoption |
| Serial Entrepreneur | INVEST* | Building a feature, not a company β needs workflow ownership | Fastest to $10M: affiliate distribution + vertical domination |
This is a viable $2-5M/yr bootstrap business with a potential $15-25M acquisition exit in 3-4 years. The optimistic $2.2M MRR scenario requires simultaneous perfect execution β plan for conservative, celebrate moderate.
Platform dependency without contractual protection. You're reselling data from providers with "no resale" clauses. One ToS enforcement = no product. Must be addressed with legal agreements and source diversification BEFORE scaling.
The advisory board focused on risks. Here's the full spectrum β what each outcome looks like and the probability based on comparable SaaS launches.