Technology
Index Ventures’ Jahanvi Sardana shares the truth about TAM and what founders should focus on instead
Early-stage founders just can’t get away from TAM — the concept of having a total addressable market for their startup to disrupt and conquer. But Index Ventures partner Jahanvi Sardana has a reminder for all those founders worried about finding TAM for their product or service: Many startups have emerged from markets that, at the time, were essentially nonexistent.
“What was the market for search before Google?” Sardana asked the audience at TechCrunch’s 2025 All Stage event in Boston, held earlier this month. “What was the market for operating systems before Microsoft, or the market for cloud before Amazon?”
Sardana compares TAM to surfing. Every few years, there are massive waves founders must ride — first came the internet, then the mobile wave, then the cloud, and now, she said, the biggest wave of all: artificial intelligence.
“Have you shaped the right product to ride this wave?” she continued. “That’s what we call product-market fit.”
Which TAM bucket are you in?
Sardana places TAM into three buckets: known market, emerging market, and invisible market.
The first, known market, already exists, and it is when a founder seeks to replace a legacy incumbent and must prove to an investor why their startup idea is better.
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“Everyone brushes their teeth,” she said. “You have to tell me why you’re building a better toothbrush.”
The emerging market is when a certain sector of the market is using a product, and there is potential for it to go mainstream.
“Think about non-alcoholic beer before it became cool,” Sardana said.
Then there is the invisible market, which Sardana calls “the biggest trap,” and “also a little bit of a dark art.”
The market doesn’t exist, and a founder has to essentially create one and provide investors with evidence of how innovative they can be.
“Think about smartphones in 2006; nobody knew they wanted them and they changed the world,” she said, later adding that “people don’t know what they’re looking for and sometimes you have to show them what’s possible.”
The audience at All Stage, many of whom are early-stage founders, peppered Sardana with questions, largely about what investors want to see. For instance, do investors want to see a TAM slide in a pitch deck?
“It’s OK to create that slide and talk about the math behind your TAM,” Sardana said, though she added that sometimes investors get annoyed when founders rely too much on industry metrics rather than having their own unique insight. Sardana also cautioned founders not to rely too much on industry reports. If a founder is too dependent on an external service to dictate how they think about the market, it can signal that they haven’t thought deeply about the market they are trying to build in, she commented.
“How do you size the TAM in the marketplaces, especially big marketplaces?” one audience member asked.
“Well, that question hurts,” Sardana quipped. After all, Index once passed on Airbnb, having believed its TAM was too small.
“The reality is Airbnb created a whole new inventory, which is now bigger than some of the largest hotel brands, and that led to a big change in behavior on how people travel,” she said, adding that marketplace TAMs are tricky. “You want to focus on, again, what is unlocking supply, and once you unlock the supply, how will behavior change?”
The audience also asked Sardana what makes a company stand out to an investor like herself.
A tough one, Sardana said, but a really important one. Ultimately, if a founder can understand who the customer is and why they are willing to purchase their product, then a company should have no problem standing up to investors, she added.
“We’re in the business of evaluating founders more than markets or products or anything else,” she said. “When you talk about your market, it’s really a lens on your ambition.”
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.
Technology
Meta partners with Midjourney on AI image and video models
Meta is partnering with Midjourney to license the startup’s AI image and video generation technology, Meta Chief AI Officer Alexandr Wang announced Friday in a post on Threads. Wang says Meta’s research teams will collaborate with Midjourney to bring its technology into future AI models and products.
“To ensure Meta is able to deliver the best possible products for people it will require taking an all-of-the-above approach,” Wang said. “This means world-class talent, ambitious compute roadmap, and working with the best players across the industry.”
The Midjourney partnership could help Meta develop products that compete with industry-leading AI image and video models, such as OpenAI’s Sora, Black Forest Lab’s Flux, and Google’s Veo. Last year, Meta rolled out its own AI image generation tool, Imagine, into several of its products, including Facebook, Instagram, and Messenger. Meta also has an AI video generation tool, Movie Gen, that allows users to create videos from prompts.
The licensing agreement with Midjourney marks Meta’s latest deal to get ahead in the AI race. Earlier this year, CEO Mark Zuckerberg went on a hiring spree for AI talent, offering some researchers compensation packages worth upwards of $100 million. The social media giant also invested $14 billion in Scale AI, and acquired the AI voice startup Play AI.
Meta has held talks with several other leading AI labs about other acquisitions, and Zuckerberg even spoke with Elon Musk about joining his $97 billion takeover bid of OpenAI (Meta ultimately did not join the offer, and OpenAI denied Musk’s bid).
While the terms of Meta’s deal with Midjourney remain unknown, the startup’s CEO, David Holz, said in a post on X that his company remains independent with no investors; Midjourney is one of the few leading AI model developers that has never taken on outside funding. At one point, Meta talked with Midjourney about acquiring the startup, according to Upstarts Media.
Midjourney was founded in 2022 and quickly became a leader in the AI image generation space for its realistic, unique style. By 2023, the startup was reportedly on pace to generate $200 million in revenue. The startup sells subscriptions starting at $10 per month. It offers pricier tiers, which offer more AI image generations, that cost as much as $120 per month. In June, the startup released its first AI video model, V1.
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Meta’s partnership with Midjourney comes just two months after the startup was sued by Disney and Universal, alleging that it trained AI image models on copyrighted works. Several AI model developers — including Meta — face similar allegations from copyright holders, however, recent court cases pertaining to AI training data have sided with tech companies.
Got a sensitive tip or confidential documents? We’re reporting on the inner workings of the AI industry — from the companies shaping its future to the people impacted by their decisions. Reach out to Rebecca Bellan at [email protected] and Maxwell Zeff at [email protected]. For secure communication, you can contact us via Signal at @rebeccabellan.491 and @mzeff.88.
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