Technology
Lightspeed backs Indian home services startup Snabbit as the next big consumer trend
Home services in India — whether it is cleaning, dishwashing, or laundry — have traditionally been offline and informally run. This has often resulted in delays and uncertainties for consumers, as well as inconsistent pay and job insecurity for workers. Recently, however, startups have begun viewing this area as ripe for transformation, leveraging technology to bring predictability, scalability, and structure to the space.
Snabbit, founded last year, is one of the early movers in this arena, enabling customers to book high-frequency home services, including cleaning, dishwashing, laundry, and kitchen preparation, through its app, with delivery as fast as 10 minutes. The startup has now raised $19 million in a Series B round led by Lightspeed, with participation from its existing investors Elevation Capital and Nexus Venture Partners, at a post-money valuation of $80 million to expand its presence.
The 15-month-old startup launched its quick-service platform in the western Indian city of Mumbai, the country’s financial capital, after founder and CEO Aayush Agarwal personally experienced the challenges of finding reliable home services. At one point, Agarwal told TechCrunch, the situation became so difficult that his mother had to fly in from the eastern Indian city of Kolkata to help him find a new domestic worker.
“What stayed with me was that in a world of convenience where you can press a button, and you’ll get a cab, or you’ll get food or groceries, you can even get someone to go out on a date with, but finding someone for a simple service at home was excruciatingly difficult,” he said in an interview.
The startup ran experiments early last year and remained in one micro market in Mumbai for the first 12 months before expanding to seven markets in the city and one in Bengaluru.
Snabbit took a “full-stack approach” to sourcing, screening, training, onboarding, and managing workers, who the startup calls “experts.” Once Snabbit signs them, it has the workers move close to the startup’s demand centers so they can fulfill the company’s promise to provide service in 10 minutes.
Snabbit is not alone in this race, as incumbent Urban Company (backed by storied investors, including Accel, Prosus, and Tiger Global) started a similar experience on its app earlier this year. However, the company faced criticism due to the initial message it conveyed and the name Insta Maids, which it later corrected and renamed to Insta Help. This did not help convince many, including gig worker unions, though.
Similarly, newer entrants, including Broomees and Pronto, have also joined the arena recently. The latter even recently attracted Bain Capital Ventures for its seed funding.
“We know that the market is heating up,” he said. “The category is getting exciting, new players are coming in and getting funded. And I think all of it is great for us as long as we keep executing relentlessly.”

The startup charges customers between ₹169 (about $2) and ₹499 (nearly $6) to avail services of up to 240 minutes. The pricing is higher than that of Urban Company’s Insta Help, which starts at ₹49 (50 cents). However, Agarwal said the startup continued to grow and scale even after Urban Company’s foray into the market.
Agarwal hopes to compete with a consistent customer experience using its in-house tech stack that includes an internal CRM tool, a sourcing and screening pipeline, and an eKYC process to better comply with local regulations.
Snabbit currently has over 600 workers on its platform, and each of them covers a median walking distance of 300 meters between two jobs. It has also partnered with the mobility startup Yulu to train and provide e-bikes to its women workers, covering a larger median distance of 800 meters between their jobs. Moreover, Agarwal told TechCrunch that the startup will reduce the median distance for its workers as it scales.
The average ticket size on Snabbit’s platform is between ₹250 and ₹270 (about $3), while its workers completing a 12-hour shift earn “upward” of ₹40,000 ($470) a month. For completing four hours a day on the platform, the workers get over ₹10,000 ($120) a month, Agarwal said, adding that workers are also eligible for bonuses.
Agarwal contends that workers can earn more than the roughly ₹9,000 ($100) that domestic helpers in urban locations are typically paid in the country, per the International Domestic Workers Federation (PDF).
Better treatment for domestic workers
Snabbit also provides personal life insurance, health insurance, and accidental insurance to all its workers, as well as family insurance to those who have been with the startup for some time.
Workplace abuse has also been quite prevalent for domestic workers in India, as the country predominantly lacks protective laws. For such cases, the startup provides an SOS feature on its app that workers can use to call a field operations team, which reaches the location within “five to seven minutes” to help workers in edge situations, the founder said.
Over the last four months, Agarwal stated the startup grew 5x and is currently growing around 20% week-over-week. It plans to expand to over 200 micro markets across metro cities in India within the next nine months by utilizing the fresh capital and hire more employees in its workforce that has nearly 100 people.
That said, several hyperlocal consumer apps have been tried and failed repeatedly. For instance, food deliveries imploded globally in 2023 after the pandemic-led lockdowns eased, but they started facing challenges in the last few months. Even in India, instant food delivery models introduced by quick commerce platforms, including Zepto and Zomato, have struggled. The former paused its 10-minute cafe services due to supply constraints, while the latter halted its 15-minute food delivery service just four months after launch, citing “no incrementality in demand.”
The cost of acquiring customers and providing suppliers in their location is expensive and often hard to pay over time. In Snabbit’s case, TechCrunch has learned that the customer acquisition cost is ₹700 ($8), while its average ticket size is about $3.
The startup has onboarded over 25,000 customers so far, and an average customer transacts on the platform at least three times a month, per Agarwal.
“Our retention rates are as good as any consumer internet company, say, a Zepto or Swiggy, would be having,” the executive said.
Nevertheless, it remains to be seen how the startup can retain its customers over time and beat the competition while continuing to scale and expand its market in India.
“Snabbit is transforming home services in India by bringing speed, structure, and trust to a sector that has largely operated informally until now,” said Rahul Taneja, a partner at Lightspeed, in a prepared statement. “We are excited to join them on this journey and support their mission to transform and scale what was once considered a luxury into a day-to-day necessity.”
Technology
The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch
The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.
There are several key reasons driving the demand for customized eLearning tools:
Greater Flexibility and Scalability
Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.
Deeper Integration Across Systems
Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.
Better Data and Analytics
Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.
Enhanced Learner Engagement
For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.
Brand and Culture Alignment
Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.
While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.
As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.
Technology
Pintarnya raises $16.7M to power jobs and financial services in Indonesia
Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.
The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.
Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.
“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”
Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.
Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.
Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.
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“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.
The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.
When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”
The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.
“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”
Technology
OpenAI warns against SPVs and other ‘unauthorized’ investments
In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.
“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”
“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.
Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”
Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.
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