QuoteHound

1. One-liner

AI autopilot that chases unsold quotes for HVAC, plumbing, and electrical contractors via text and email.

2. Trend signal — why now?

The home services industry is drowning in unsold quotes. The data is brutal: 70% of homeowners don’t buy after the first visit, 80% of sales require 5+ follow-ups, but 44% of contractors give up after one touchpoint. The average contractor close rate sits at 30–40%, and contractors who automate quote follow-ups see 40–60% higher close rates.

Three forces converged in the last 12 months:

1. AI text/voice agents got cheap. An AI-powered follow-up text costs ~$0.04 vs. $7–12 for a human call. LLMs can now personalize messages based on job type, quote amount, and homeowner objections — something a canned drip campaign can’t do.

2. Contractor AI adoption hit an inflection point. 25% of residential contractors now use AI in some form (ACHR News, 2026), double from 2024. The psychological barrier is breaking.

3. The “too busy to follow up” problem got worse. HVAC alone faces a 110,000 technician shortage. Plumbing could see a 550,000-worker shortfall by 2027. Contractors literally don’t have the hands to chase quotes — they’re too busy doing the work.

Provenance:

• Signal 1: 70% of homeowners don’t buy after first visit; 80% of sales need 5+ follow-ups but 44% of contractors stop after 1 — https://www.builderprime.com/blog/how-to-close-more-sales-with-the-leads-you-already-have — 2025
• Signal 2: SMS costs $0.01–0.05/msg; AI calls $0.40 vs. $7–12/human; 25% of residential contractors now using AI — https://www.achrnews.com/articles/166074-survey-25-of-residential-contractors-using-ai-to-boost-business — 2026
• Signal 3: HVAC faces 110K technician shortage; plumbing 550K shortfall by 2027; home services market $650–750B — https://www.servicetitan.com/blog/home-services-industry-statistics — 2025 Category: Workflow automation

3. The opportunity

Every home service contractor — HVAC, plumber, electrician, roofer, painter — sends quotes that die on the vine. The contractor is on a ladder, under a house, or driving to the next job. They don’t have time to send a “just checking in” text three days after the quote, let alone run a 5-touch sequence over 30 days.

The incumbents don’t solve this well:

• Jobber, Housecall Pro, ServiceTitan — great at scheduling and invoicing, but their “follow-up” is a manual reminder or a single canned email. No intelligence, no persistence, no personalization.
• Hatch — does AI follow-up but charges $250+/mo with opaque pricing and enterprise onboarding. Built for 20+ employee operations, not a 3-person plumbing shop.
• Structurely — similar story. No published pricing. Focused on real estate and larger operations.

The gap: a dead-simple, $49–99/mo tool that plugs into whatever the contractor already uses (or works standalone), reads their unsold quotes, and runs a smart text+email chase sequence until the homeowner says yes, no, or stop.

4. Target market

• Primary customer: Owner-operators and office managers of 1–10 employee HVAC, plumbing, electrical, roofing, and painting businesses in the US.
• Why they buy: They know they’re leaving money on the table. They sent 50 quotes last month, closed 15, and forgot about the other 35. A recovered $5K job from a $49/mo tool is a no-brainer ROI.
• Rough TAM reasoning: 117,449 HVAC contractors + ~120K plumbing + ~70K electrical + ~50K roofing + ~50K painting in the US. Even limiting to shops with 1–10 employees, that’s 300K+ businesses. At $79/mo average, 1% penetration = $2.8M ARR.
• Why now for them: Labor shortage means they can’t hire a dedicated sales follow-up person. AI got cheap enough to do it for the price of a few pizzas.

5. Product sketch (MVP)

• Quote inbox: Forward quotes from email, upload from phone camera, or connect to Jobber/Housecall Pro/ServiceTitan via API. QuoteHound extracts customer name, job type, quote amount, and date.
• Smart chase sequences: AI generates a 5–7 touch follow-up sequence (text + email) personalized to the job type and quote amount. Spacing: Day 1, Day 3, Day 7, Day 14, Day 21, Day 30.
• Homeowner reply handling: When the homeowner texts back, AI triages the response — “yes, I’m ready” gets routed to the contractor immediately. “What about the warranty?” gets an intelligent answer pulled from the original quote. “Not interested” stops the sequence.
• Dashboard: Simple view of open quotes, chase status, and won/lost outcomes. One number matters: recovered revenue this month.
• Do-not-disturb: Contractor can pause or kill any sequence with one tap. Homeowner can opt out with a standard STOP reply.
• Mobile-first: The contractor lives on their phone. The entire product works from a mobile browser or SMS commands.

6. AI angle — what’s load-bearing

Without AI, this is a dumb drip campaign — same message to everyone, no matter the context. With AI:

1. Message personalization at scale. A $2,500 water heater replacement gets different follow-up language than a $15,000 HVAC install. The AI reads the quote, understands the job type, and writes messages that feel like the contractor typed them.
2. Reply triage. When a homeowner responds, the AI classifies intent (ready to book, has questions, price objection, not interested) and routes accordingly. This replaces a human reading and responding to texts all day.
3. Timing optimization. Over time, the AI learns which follow-up cadences convert best for different job types and price ranges — something a human doing this manually could never optimize across hundreds of quotes.

Remove the AI and you have MailChimp with a phone number. The AI is the product.

7. Localization angle (if any)

N/A — this is a US-first play. The home services contracting market is massive domestically ($650–750B), and the SMS/text follow-up pattern is deeply American (homeowners expect texts from service providers). Expansion to Canada, UK, and Australia is natural but not the wedge.

Spanish-language support for contractors serving Hispanic homeowners could be a meaningful v1.5 feature — there are ~60M Spanish speakers in the US and many home service markets (Florida, Texas, California, Arizona) where bilingual follow-up would convert better.

8. Business model — path to $1M–$5M ARR

• Pricing: $49/mo (Starter — up to 50 quotes/mo) / $99/mo (Pro — unlimited quotes, CRM integrations, priority reply routing) / $199/mo (Team — multi-user, reporting, custom branding on messages)
• ACV: ~$950 blended (most land on Pro at $99/mo = $1,188/yr)
• Rough math to $1M ARR: 850 Pro customers × $99/mo × 12 = $1.01M
• Rough math to $5M ARR: 3,500 customers at blended $119/mo average = $5M. Requires geographic expansion of sales channels and adding trades (landscaping, pest control, garage door, etc.)
• Expansion path: Usage-based overage for high-volume shops. Add AI phone follow-up (voice) as premium tier at $149–249/mo. White-label for franchise groups.

9. Go-to-market wedge — first 100 customers

1. Scrape and cold-text. Pull HVAC/plumbing contractor listings from Google Maps in 5 metro areas (Phoenix, Dallas, Atlanta, Tampa, Charlotte — high-volume, year-round demand markets). Send a personalized text: “Hey [Name], I built a tool that chases your unsold quotes automatically — recovered $12K for a plumber in Phoenix last month. Want to try it free for 14 days?” Target: 2,000 contractors, 5% reply rate = 100 trials, 30% convert = 30 customers.

2. Partner with 3–5 home service influencers. YouTube and TikTok creators like “HVAC Guide” (200K+) and trade-focused podcasts. Offer affiliate rev-share (20% for 12 months). These creators’ audiences are exactly the 1–10 person shops this targets.

3. Jobber/Housecall Pro app marketplace. Both have app stores for integrations. A listing there puts QuoteHound in front of hundreds of thousands of contractors already managing quotes digitally. Ship the integration in Month 2.

4. Local trade association sponsorships. Sponsor a booth or webinar at PHCC (plumbing) or ACCA (HVAC) local chapter events. $500/event, 5 events = 25 demos per event, 20% close = 25 customers from $2,500 spend.

5. “Quote recovery report” as lead magnet. Contractor uploads their last 30 days of quotes, QuoteHound analyzes the follow-up gap and estimates recovered revenue. Free report, paid product.

10. Build complexity — justification

Low. The core product is an AI text/email sequence engine. Tech stack: Next.js frontend, Twilio for SMS, SendGrid for email, OpenAI/Claude for message generation and reply classification, Supabase for data. The quote ingestion (email forwarding + camera OCR) is the most complex piece, but Google Vision API / Claude vision handles OCR well. No custom models needed. Solo builder ships v1 in 6–8 weeks.

11. Gating checklist

Gate	Pass?	Note
Legal in target market	✅	SMS marketing is regulated (TCPA) but compliant with proper opt-in/opt-out. Contractor has existing business relationship with quote recipients.
Ethical — no harm / dark patterns	✅	Following up on a quote the homeowner requested is expected behavior. Clear opt-out on every message.
Market exists (evidence above)	✅	300K+ target businesses, existing spend on CRMs and follow-up tools.
1–5 person team can build this	✅	Solo builder can ship v1 in 6–8 weeks with off-the-shelf APIs.
Launchable with <$50K / ₹40L	✅	Under $5K to launch — Twilio, hosting, and API costs are usage-based.

12. Feasibility score

Axis	Weight	Score	Notes
Problem intensity	20	17/20	Contractors lose 60–70% of quoted revenue to non-follow-up. This is money walking out the door every week. Hair-on-fire for anyone who does the math.
Demand evidence	15	13/15	Multiple independent signals: industry stats on close rates, existing competitors charging $250+/mo, contractor forums full of “I forget to follow up” admissions, 25% AI adoption rate among contractors.
Build feasibility	15	14/15	Off-the-shelf APIs (Twilio, OpenAI, Google Vision). Standard web stack. Solo builder in 6–8 weeks. The hardest part is CRM integrations, which can be phased.
Distribution clarity	15	12/15	Clear channels: cold outreach to scraped contractor lists, app marketplace listings, trade influencers. Not instant virality, but concrete and testable.
Revenue mechanics	15	12/15	$49–99/mo pricing benchmarked against contractor tool budgets (Jobber at $29–169/mo, Housecall Pro at $49–109/mo). ROI is obvious: one recovered $3K job pays for a year of QuoteHound. Churn risk if contractors don’t see results in first 30 days.
Time to first revenue	10	8/10	Revenue in 4–6 weeks of launch. 14-day free trial, then paid. Contractor tool purchasing is fast — owner decides, owner pays, no procurement committee.
Defensibility	10	3/10	Low moat initially. Any CRM could add this feature. Defensibility builds through: (1) data on which follow-up patterns convert best by trade/price/region, (2) CRM integrations that create switching costs, (3) brand recognition in a niche. But at month 3, this is copyable.
Total	100	79/100

13. Qualitative modifiers

Founder-fit tags

technical-heavy — This is an API integration play. The builder needs to be comfortable with Twilio, LLM APIs, OCR, and webhook integrations. No sales-heavy or operations-heavy requirements at v1 — the product sells itself on ROI.

Key assumptions to validate (3–5)

1. Assumption: Contractors will forward quotes by email or upload photos to trigger the chase sequence. How to test: Build a 10-contractor pilot. Track how many actually forward quotes vs. forget/abandon the workflow. If <50% forward consistently, the ingestion UX needs rework.

2. Assumption: Homeowners will respond positively to AI-generated follow-up texts that appear to come from the contractor. How to test: A/B test AI-written messages vs. generic templates with 500 homeowners. Measure response rate and sentiment (positive/neutral/negative).

3. Assumption: $99/mo is the right price for a 3–5 person shop. How to test: Offer 50 contractors a choice between $49, $99, and $149 plans during onboarding. Track which tier converts and retains best over 60 days.

4. Assumption: One recovered job per month makes the ROI obvious enough to prevent churn. How to test: Track revenue recovered per customer per month. If median is <$1,000/mo recovered, the value prop weakens. Target: $3K+/mo median recovered revenue.

Risk flags

1. [Regulatory — TCPA compliance]: SMS marketing to consumers is regulated under TCPA. Contractors texting homeowners who requested a quote have an “established business relationship” exemption, but the line between follow-up and marketing can blur. Mitigation: mandatory opt-in at quote delivery, clear STOP handling, message frequency limits.

2. [Platform dependency — Twilio]: Core SMS delivery depends on Twilio. A Twilio pricing increase or policy change could squeeze margins. Mitigation: abstract the SMS layer to swap providers (Vonage, MessageBird) if needed.

3. [Competitive response]: Jobber, Housecall Pro, or ServiceTitan could add smart follow-up as a feature. Mitigation: move fast, build niche brand loyalty, and accumulate conversion data that makes the AI smarter than a generic add-on feature.

14. Structured verdict

Score:                  79/100
Verdict:                GO
Confidence:             High
Best-fit builder:       Technical solo founder comfortable with APIs, SMS, and LLMs
Time to revenue:        6–8 weeks to v1, first paying customer by week 10
Capital to launch:      $3–5K (API credits, hosting, Twilio deposit)
Top 3 assumptions to validate first:
  1. Contractors will consistently forward/upload quotes (test with 10-contractor pilot)
  2. AI-generated follow-up texts convert better than canned templates (A/B test with 500 homeowners)
  3. $99/mo pricing sustains <5% monthly churn (track 60-day retention in first cohort)
Kill criteria:
  - Abandon if <30% of pilot contractors forward quotes consistently after 30 days
  - Abandon if AI follow-up texts produce complaint/block rate >5%
  - Abandon if median recovered revenue per customer is <$500/mo after 60 days

15. Next step — 1-week validation sprint

• Day 1–2: Build a bare-bones prototype: a Twilio number that receives forwarded quote emails, extracts customer info with Claude, and sends a 3-text follow-up sequence over 7 days. No dashboard, no fancy UI — just the core loop.
• Day 3–4: Recruit 10 contractors from Google Maps in Phoenix and Dallas (cold text outreach). Offer free quote-chasing for 2 weeks. Get them to forward their unsold quotes from the last 30 days.
• Day 5: Measure: How many contractors forwarded quotes? How many homeowners responded to the follow-up texts? Any complaints or STOP requests? Did any quote convert to a booked job? Go if: ≥6/10 contractors forwarded quotes, ≥15% homeowner response rate, and ≥1 converted job across the cohort. No-go if: <4 contractors participated or homeowner complaint rate >5%.