Technology
Who is Soham Parekh, the serial moonlighter Silicon Valley startups can’t stop hiring?
In the last week, social media users have shared dozens of stories about encounters with Soham Parekh, a software engineer who seems to have been simultaneously working at multiple Silicon Valley startups — unbeknownst to the companies — for the last several years.
But who is Parekh, how did he pull off his career as a serial moonlighter, and why can’t Silicon Valley get enough of him?
Origins of virality
The saga all started when Suhail Doshi — CEO of image generation startup Playground AI — shared a post Tuesday on X that began: “PSA: there’s a guy named Soham Parekh (in India) who works at 3-4 startups at the same time. He’s been preying on YC companies and more. Beware.”
Doshi claims that, roughly a year ago, he fired Parekh from Playground AI after he found out he was working at other companies. “[I] told him to stop lying/scamming people. He hasn’t stopped a year later,” Doshi wrote.
That post from Doshi received roughly 20 million views and prompted several other founders to share their run-ins with Parekh as well.
Flo Crivello, the CEO of Lindy, a startup that helps people automate their workflows with AI, said he hired Parekh in recent weeks, but fired him in light of Doshi’s tweet.
Matt Parkhurst, the CEO of Antimetal, a startup that does automated cloud management, confirmed that Parekh was the company’s first engineering hire in 2022. Parkhurst tells TechCrunch that Antimetal let Parekh go in early 2023 after they realized he was moonlighting at other companies.
Parekh also seems to have worked at Sync Labs, a startup that makes an AI lip-synching tool, where he even starred in a promotional video. He was ultimately let go.
At some point, Parekh applied to several Y Combinator-backed startups. Haz Hubble, the co-founder of Pally AI, a Y Combinator-backed startup building an “AI relationship management platform,” says he offered Parekh a founding engineer role. Adish Jain, the co-founder of YC-backed Mosaic — an AI video editing startup — said he interviewed Parekh for a role, too.
TechCrunch has reached out to these companies for comment, but they did not immediately respond.
It turns out that Parekh did quite well in many of these interviews and received offers, largely because he’s a gifted software engineer.
For instance, Rohan Pandey, a founding research engineer of the YC-backed startup Reworkd, told TechCrunch that he interviewed Parekh for a role and he was a strong candidate. Pandey, who is no longer with the startup, says Parekh was one of the top three performers on an algorithms-focused interview they gave candidates.
Pandey said the Reworkd team suspected something was off with Parekh. At the time, Parekh told Reworkd he was in the U.S. — a requirement for the job — but the company didn’t believe him. They ran an IP logger on a Zoom link from Parekh and located him in India.
Pandey recalled other things Parekh said often didn’t add up, and some of his GitHub contributions and previous roles didn’t quite make sense either. That seems to be a common experience when dealing with Parekh.
Adam Silverman, co-founder of the AI agent observability startup, Agency, told TechCrunch his company also interviewed Parekh. Silverman said Parekh sent him a cold DM about a job opening at Agency, and they set up a meeting. Parekh had to reschedule that meeting five times, according to Silverman and emails from Parekh viewed by TechCrunch.
Silverman says he was also impressed by Parekh’s technical ability, but in the interview, he insisted on working remotely. Much like with Reworkd, that was a red flag for Agency.
Roy Lee, the CEO of the “cheat on everything” AI startup, Cluely, tells TechCrunch he interviewed Parekh twice for a role. Lee said Parekh interviews quite well and “seemed to have strong react knowledge,” referencing a popular JavaScript library for building user interfaces.
Lee says Cluely did not end up hiring Parekh. However, several other companies clearly did.
Parekh’s perspective
Parekh made an appearance on the Technology Business Programming Network (TBPN) on Thursday to tell co-hosts John Coogan and Jordi Hays his side of the story and explain why he’s worked at so many companies.
He admitted that he’s been working at multiple jobs simultaneously since 2022. Parekh claims he was not using AI tools or hiring junior software engineers to assist him with his workload.
All that work has made Parekh a much better programmer, he believes, but notes that it’s taken a toll.
Parekh said he’s notorious among his friends for not sleeping. He repeated several times throughout the interview that he works 140 hours a week, which comes out to 20 hours a day, seven days a week. That seems to be borderline impossible — or at the very least, extremely unhealthy and unsustainable.
Parekh also said he took multiple jobs because he was in “financial jeopardy,” implying he needed all the income he could get from his various employers. He claims he deferred going to a graduate school program he had been accepted to, and instead decided to work at several startups simultaneously.
Notably, Doshi shared a copy of Parekh’s resumé that claims he received a masters degree from Georgia Institute of Technology.
When TBPN’s co-hosts asked why Parekh didn’t just ask one company to raise his salary and help with his financial struggles, Parekh said he liked to keep a boundary between his professional and private life. (But he had also opted for low salaries and high equity at all his jobs, which doesn’t quite add up with his financial crisis story. However, Parekh declined to share more about it.)
Parekh told the hosts he genuinely loved his work, and it was not solely about the money. He says he was very invested in the missions of all the companies where he worked.
He also admitted that he’s not proud of what he’s done, and he doesn’t endorse it.
What now?
Some are calling Parekh a scam artist and a liar, but in classic Silicon Valley fashion, Parekh appears to be trying to turn his viral moment into a business.
Parekh announced his newest employer, which he claims to be exclusively working at: Darwin Studios, a startup working on AI video remixing.
However, Parekh quickly deleted the post after announcing it, as did the founder and CEO of the startup, Sanjit Juneja.
TechCrunch has reached out to Parekh requesting an interview regarding this article, however, he has not yet accepted. Instead, a spokesperson representing him sent TechCrunch a statement from Darwin’s CEO.
“Soham is an incredibly talented engineer and we believe in his abilities to help bring our products to market,” said Juneja.
We’ve seen countless startups turn their viral, often controversial, moments into businesses in the last year. One of the most famous is Cluely, which is known for creating provocative marketing campaigns. It’s rage bait, but it’s attention-grabbing, and it was enough to land Cluely a $15 million seed round from Andreessen Horowitz.
Perhaps Parekh will land a similar fortune in the future.
Update: This story has been updated to reflect TBPN’s current name and include additional comments from Antimetal.
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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