"We don't book services. We own the outcome."
This is my honest, no-BS breakdown of Homeasy Solutions — the real-world operations platform I'm building for home services in India. I wrote this case study to hold myself accountable. Every number is scrutinized. Every assumption is challenged. If something doesn't add up, I say so. This isn't a pitch deck dressed as analysis — it's me stress-testing my own work.
I'm going to be straight with you. Homeasy is my attempt to build what I believe should be the operating system for how home services work in India. Not another marketplace that connects you to a plumber and walks away. A platform that actually owns the outcome — from the moment you report a leaking pipe to the moment it's fixed, verified, and warranted.
I've spent over ten years in proptech. I've scaled a product to $20M ARR. I know this market inside out — the broken promises, the no-show workers, the pricing games. And I know that slapping an app on top of the same broken system doesn't fix anything. You have to rebuild the system itself.
Throughout this case study, I'm labeling every claim with a confidence level: Verified means I can prove it with data. Likely means the evidence is strong but needs more validation. Unproven means I'm making a claim I haven't fully backed up yet. And Unknown means there's a gap I haven't filled. This isn't standard practice for founders — most people would hide their unknowns. I'm putting mine on the table because I'd rather build on honest foundations than comfortable illusions.
My honest confidence in Homeasy right now? 5.3 out of 10. That's below average, and I'm okay with that. It reflects a genuine market opportunity sitting next to significant execution gaps. The market is real. The problem is real. Whether I can build the solution at scale — that's what I still need to prove.
Don't raise all the money at once. Start with $1.5M. Prove unit economics in one city. Show that the "outcome ownership" model actually works — that customers stay longer, pay more, and complain less than they do on marketplace-only platforms. Then raise the next round with real numbers, not projections.
I should also be honest about the contradictions in my own documents. My pitch deck says I need $1.5M. My operations plan says $5M. My Year 3 revenue projections range from $18M to $60M depending on which document you read. My LTV:CAC ratio shows up as 4.5x in one place and 15x in another. These aren't rounding errors — they're fundamental modeling questions I need to resolve. And if I'm asking someone to trust me with their capital, they deserve to know that I know these gaps exist.
| What | Details | Confidence |
|---|---|---|
| Company | Homeasy Solutions | Verified |
| What we do | Real-world operations platform for home services | Verified |
| Where | India-first (Tier 1 & Tier 2 cities), global later | Verified |
| Stage | Seed / Pre-launch, still in pilot | Verified |
| Founded by | Me — Abhishek Jaiswal | Verified |
| Business model | Platform with outcome ownership, 15-20% take rate | Verified |
| Vision | "Building the operating system for the physical world" | Verified |
I've been in proptech for over ten years. I've seen how the real estate and property management world works — the lifecycle of transactions, the maintenance nightmare, the trust problem that eats every service interaction from the inside. My biggest credential is scaling a product to $20M ARR, which I'm labeling Likely because while I lived it, I haven't published independent third-party verification. If you're evaluating me, ask for it. I'll provide it.
My CTO is a former engineering lead from a top-tier marketplace startup. I'm not naming names publicly yet, so I'm calling that Likely too. What matters is that we're building real matching and orchestration technology, not a glorified directory with a booking button.
One honest gap in my team: I don't have a dedicated operations leader yet. For a company that claims to "own the outcome," that's a real weakness. Outcome ownership requires deep operational infrastructure — quality assurance workflows, provider management, incident response. I need to hire a COO before I scale. I know this.
We're in pilot. 500+ sign-ups in the first 30 days. 4.6/5 customer satisfaction. 85% service completion rate. These numbers sound good on paper, but I'll be the first to tell you they're thin. 500 sign-ups doesn't tell me how many are paying customers versus curiosity clicks. 85% completion doesn't tell me if the outcomes were actually good or just "technically done." I need deeper data, and I know it.
Here's the uncomfortable truth: my own documents cite three different global market sizes — $600B, $1.2T, and $2.1T. That's a 3.5x variance. I'm labeling all global TAM figures as Unproven until I reconcile them. The point isn't the exact number — it's that the market is enormous and fragmented, and I need to be more disciplined about which figure I use and why.
What I can say with confidence: the structural dynamics are genuinely attractive. Home services are extremely fragmented — the top five players in any market hold less than 5% share. Information asymmetry between customers and providers creates persistent pricing games. Transactions recur (average homeowner uses 4-6 services per year). And the emotional stakes are high — a botched plumbing job floods your home, a bad electrician is a fire hazard.
India's digital infrastructure has reached a tipping point. These are verifiable facts, not my projections:
That last number is the one that keeps me up at night — in the good way. 0.8% online penetration means $59B+ of annual home services spending still happens through informal channels. Word of mouth, the guy your neighbor recommended, the number scribbled on a wall. Even capturing 1% of the offline market is a $590M opportunity.
I'm not going to give you a sanitized problem statement. Here's what actually happens when someone in India needs a home service:
You ask your neighbor for a plumber. The plumber says he'll come Tuesday. He doesn't show. You call again. He shows Thursday, quotes you double what you expected, does a mediocre job, and disappears. Three weeks later, the pipe leaks again. You have no warranty, no recourse, no one to call. You start the whole process over.
That's the reality for hundreds of millions of Indian homeowners. And here's the thing — the "tech platforms" that claim to solve this? Most of them are glorified directories. They connect you to a provider and walk away. If the outcome is bad, that's your problem.
| Pain Point | How Bad It Is | What Exists Today | What We're Building |
|---|---|---|---|
| Inconsistent quality | High — you never know what you'll get | Trial and error | Outcome ownership + quality assurance |
| Pricing games | High — post-service cost surprises | Negotiation, guesswork | Transparent upfront pricing |
| No-shows and delays | Medium — hours wasted waiting | Phone calls, hope | AI scheduling + real-time tracking |
| Safety anxiety | High — letting strangers into your home | Skip the service, ask neighbors | Background checks + insurance |
| Zero accountability | High — when it fails, you're on your own | Angry social media posts | Outcome guarantee + SLA |
| No memory of your home | Medium — explaining everything from scratch every time | Paper notes, photos | Property intelligence system |
I did a 5 Whys analysis on this, and it took me somewhere uncomfortable:
Why do customers struggle? Because outcomes are unpredictable and managing providers is exhausting.
Why are outcomes unpredictable? Because there's no quality assurance or accountability.
Why no accountability? Because platforms just connect you to providers without owning what happens next.
Why don't they own outcomes? Because it requires massively more infrastructure, cost, and risk than a marketplace model.
Why hasn't anyone built that? Because the trust systems, verification, insurance, and coordination required are extraordinarily hard in India's fragmented, informal market — and nobody's been willing to absorb the cost.
That last answer is both my opportunity and my biggest risk. I'm betting that AI-first orchestration can bring the cost of outcome ownership below the value it creates. It's a bet, not a certainty.
| Segment | Market Share | How Often | Annual Spend | What They Need Most |
|---|---|---|---|---|
| Homeowners | 60-70% | 4-6x/year | ₹5K-15K | Quality + Trust |
| Rental Property Managers | 10-15% | 8-12x/year | ₹40K-80K | Standardization |
| Housing Societies | 15-20% | Monthly contracts | ₹2-5L per society | Bulk management |
| Small Businesses | 5-10% | Bi-weekly | ₹20K-60K | Reliability + SLA |
People don't hire a home services app to "find a plumber." They hire it to solve a deeper set of needs:
This is why pure marketplaces keep failing on customer satisfaction — they only solve the surface-level functional job. The emotional and social dimensions are where real loyalty gets built.
I have a credibility problem with my own TAM numbers, and I'd rather own it than pretend it doesn't exist. Three different documents cite three different global TAMs: $600B, $1.2T, $2.1T. All labeled Unproven.
What I can defend: India's home services market is approximately $60B (Verified). The serviceable addressable market (SAM) is around $180B (Verified). The serviceable obtainable market (SOM) — what I can realistically go after in 3-5 years — is $4.5B (Verified).
The gap between my SOM calculations and my Year 3 revenue projections doesn't fully add up. At a 15-20% take rate on $4.5B SOM, my theoretical platform revenue ceiling is $675M-$900M. The conservative $18M Year 3 figure makes sense as an early capture rate. The $60M figure needs stronger justification. I'm working on reconciling this.
Let me be direct: Urban Company is the elephant in the room. ₹1,000+ Cr in revenue. ₹240 Cr net profit in FY2025. $376M in total funding. Coverage across 30+ cities. They're not a paper tiger — they're a real, profitable, scaled business.
Housejoy (Amazon-backed), Pronto, Snabbit, and dozens of local players fill out the rest of the landscape. But Urban Company is the benchmark.
My differentiation bet is outcome ownership. Urban Company connects you to a provider. I want to own the result. Whether customers will actually pay a premium for that — whether it materially changes retention and satisfaction — is the single most important question I need to answer. I believe the answer is yes. But belief isn't data. I need to prove it in pilot.
Platform marketplace with outcome ownership. 15-20% take rate on every booking. Revenue streams:
The model's entire viability comes down to one equation: can the incremental cost of verification, insurance, quality assurance, and outcome monitoring be recovered through higher customer retention and willingness-to-pay? I believe yes. The math needs to prove it.
Here's where I have to be most honest with myself:
That LTV:CAC discrepancy is not a minor thing. 4.5x is "healthy but not exceptional." 15x is "too good to be true for a seed-stage company." Until I run a controlled pilot and measure this independently, any financial model built on the optimistic end should be treated as a fantasy, not a forecast.
I'm targeting a CAC below ₹320 using AI-driven matching and the housing society channel (which should give me organic, low-cost acquisition). If the housing society strategy works, 15x might be real. If it doesn't, 4.5x is the baseline — and I need to build my burn rate around that number, not the dream number.
I'm not going to sugarcoat this section. Here are the things that could end Homeasy:
| Risk | How Likely | How Bad | Confidence | What I'm Doing About It |
|---|---|---|---|---|
| I'm better at telling the story than executing it | High | Critical | Verified | Milestone-gated funding, measurable validation |
| Urban Company crushes us | Moderate-High | High | Verified | Differentiation focus, community-level moats |
| Operations cost more than I think | Moderate | High | Likely | Contribution margin monitoring, cost caps |
| Can't scale the provider network | Moderate | High | Unproven | Provider tools that make their lives better |
| Run out of money | Moderate | Critical | Unproven | Conservative seed ask, phased spending |
| A safety incident destroys trust | Low | Critical | Unproven | Insurance, verification, incident response plan |
Notice that my #1 risk is myself — the gap between my narrative and my execution. I've labeled it Verified because the evidence is in my own documents: inconsistent metrics, ambitious projections, thin validation data. The best thing I can do is acknowledge this gap and close it with real results.
| Scenario | Year 3 Revenue | Net Margin | LTV:CAC | Probability |
|---|---|---|---|---|
| Everything goes right | $25M+ | 25%+ | 5x+ | 15-20% |
| Realistic middle ground | $15-18M | 18-22% | 4.5x | 40-50% |
| Things get hard | $8-10M | 10-15% | <3x | 25-30% |
| We fail | <$3M | Negative | <1.5x | 5-10% |
If I could sit across from myself and give advice, here's the list — in order of urgency:
| # | What to Do | Priority | When | Why |
|---|---|---|---|---|
| 1 | Fix the funding ask — decide if it's $1.5M or $5M and explain why | P1 | Now | Credibility |
| 2 | Prove unit economics in one city before expanding to a second | P1 | Months 1-6 | Don't scale what you haven't validated |
| 3 | Resolve the LTV:CAC discrepancy with real, measured data | P1 | Months 1-6 | The entire model depends on this number |
| 4 | A/B test outcome ownership vs. marketplace-only — prove the difference is real | P1 | Months 3-9 | Your differentiation is unproven |
| 5 | Pilot with one housing society — test if institutional channels lower CAC | P2 | Months 1-3 | Your cheapest acquisition channel is theoretical |
| 6 | Build provider tools before scaling — happy providers are your moat | P2 | Months 1-12 | Provider churn will destroy you |
| 7 | Gate your own funding to milestones — don't give yourself all the money at once | P1 | Now | Discipline is a feature, not a constraint |
| 8 | Write a competitive response playbook — what do you do when Urban Company notices? | P2 | Months 1-3 | They will notice eventually |
| 9 | Create a safety incident plan before launch — not after the first crisis | P2 | Now | One incident can end everything |
| 10 | Hire a COO before you scale — you can't own outcomes without an ops leader | P3 | Months 1-6 | Your biggest team gap |
I scored myself across twelve dimensions. The overall number is 5.3 out of 10. Here's exactly where I'm strong and where I'm weak:
| Dimension | Score | Confidence | What I Need to Do |
|---|---|---|---|
| Market Opportunity | 8 | Verified | Nothing — the opportunity is real |
| Problem Validity | 9 | Verified | Nothing — the pain is genuine |
| Solution Design | 7 | Likely | Validate willingness-to-pay |
| India's Digital Infrastructure | 8 | Verified | Nothing — UPI, smartphones, internet are ready |
| My Own Capability | 6 | Likely | Provide verifiable track record proof |
| Financial Consistency | 3 | Unproven | Fix every contradicting number across all docs |
| Unit Economics | 5 | Likely | Resolve the LTV:CAC gap with measured data |
| Execution Proof | 3 | Unproven | Full pilot with independently verified results |
| Competitive Resilience | 4 | Likely | A/B test my differentiation against marketplace-only |
| Technology | 5 | Likely | Demonstrate measurable matching improvement |
| Operational Readiness | 4 | Likely | Run pilot with full QA stack deployed |
| Team Completeness | 5 | Likely | Hire an operations leader |
My strongest scores are on market and problem — the opportunity is genuinely massive and the pain is real. My weakest scores are on financial consistency and execution proof — which is exactly what you'd expect from a pre-launch company. The question isn't whether I start strong. It's whether I close the gaps before the runway ends.
Homeasy sits in an interesting place. The market opportunity is genuine — India's $60B home services market with 0.8% online penetration, backed by mature digital infrastructure, is real whitespace. The problem is real — everyone who's ever hired a service provider in India knows the pain. And the solution design — outcome ownership rather than marketplace matching — is the right philosophical direction.
But a 5.3/10 confidence score doesn't lie. The gap between my vision and my validation is the central tension of this entire venture. My own documents contradict each other on key metrics. My pilot data is directionally positive but statistically thin. And I'm entering a market where Urban Company has a massive head start and real profitability.
Start with $1.5M. Prove three things in 12 months: (1) that my unit economics work — LTV:CAC above 3x with independently verifiable data, (2) that I can reach 1,200 monthly active users with 90%+ completion rates in one pilot city, and (3) that outcome ownership measurably outperforms marketplace-only alternatives on customer satisfaction and retention. If I hit those gates, I'll raise the next round with confidence. If I don't, I'll know this needs a different approach — or a different founder.
I wrote this case study because I believe the best founders are the ones who can be brutally honest about where they stand. If I can see my weaknesses clearly, I can fix them. If I hide them — from myself or from the people who might back me — I'm already on the path to failure.
Homeasy isn't a company to dismiss or embrace. It's a company to build with disciplined evidence and honest self-assessment. The market is real. The problem is genuine. The solution is sound. The execution? That's what the next twelve months are for.
— Abhishek Jaiswal, July 2026