Snabbit says daily jobs crossed 115,000 as burn per job fell below ₹250

Quick home-services platform Snabbit says it fulfilled more than 115,000 jobs in a single day in Q1 FY27, while quarterly burn per job declined by over ₹100 to below ₹250. The company is building density across 10 cities while adding Home Cooks and Salon at Home.

— Source publishedSun, 2 Aug, 2026, 19:00 IST·First seen Sun, 2 Aug, 2026, 19:02 IST·Source Entrackr · Newsletter

What happened

Quick home-services platform Snabbit said daily fulfilled jobs crossed 115,000 in Q1 FY27, with burn per job below Rs 250. It operates across 10 Indian cities

Key facts

  • 115,000 fulfilled jobs in a single day
  • Around 4 million core househelp jobs in Q1 FY27
  • Consolidated NOV crossed Rs 130 after customer discounts
  • Burn per job fell by more than Rs 100 quarter on quarter to below Rs 250
  • Scaled from around 400 to over 115,000 daily jobs in under two years
  • Operates in 10 cities and more than 150 micromarkets
  • Mature micromarkets complete over 2,500 jobs daily
  • Some residential communities generate over 500 daily jobs
  • Over 25,000 Experts
  • More than 100,000 earning opportunities daily
  • $56 million Series D; $112 million total capital raised
  • InstaHelp delivered over 100,000 orders in a day
  • July orders: InstaHelp 1.9 million, Snabbit 1.85 million, Pronto over 1.25 million
  • Expected NOV improvement of 15% to 20%

Why this matters

Snabbit’s growing density across 10 cities makes it a more credible partner or acquisition target for consumer platforms seeking instant access to home-services demand, especially in adjacent categories such as beauty, food and household commerce.

What to watch

  • Whether daily jobs remain above 115,000 beyond a one-day peak and grow sequentially through subsequent quarters.
  • Burn per job trend after adjusting for launch incentives, promotional credits, worker bonuses, and new-city setup costs.
  • Repeat booking frequency, subscription adoption, cancellation rates, and net promoter scores by category.
  • Worker utilization, earnings retention, fulfillment times, and service-quality complaints as job volumes rise.
  • Evidence that Home Cooks and Salon at Home achieve comparable contribution margins to core services.
  • City-level concentration: share of jobs coming from mature neighborhoods versus newly launched catchments.
  • Fundraising, cash runway, and whether lower burn per job translates into lower absolute quarterly cash burn despite expansion.
  • Competitive pricing and service launches from home-services platforms, quick-commerce firms, and hyperlocal startups.
  • Prioritize micro-market expansion within existing cities before entering materially new geographies, using job density and worker utilization as gating metrics.
  • Bundle recurring services with Home Cooks, cleaning, and Salon at Home to increase customer lifetime value and reduce reliance on one-off demand.
  • Introduce membership, subscription, or prepaid service packs to stabilize repeat frequency and lower acquisition costs.
  • Build category-specific worker training, service-quality scoring, and rapid issue-resolution systems to protect repeat rates as the service mix broadens.
  • Use the reported lower burn per job to selectively increase brand marketing and neighborhood-level supply acquisition, while avoiding broad discount-led growth.

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