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Y Combinator's latest cohort had only one LatAm startup in large part because of AI | TechCrunch


Brazilian startup Salvy, a mobile carrier for businesses, was the only company based in Latin America in Y Combinator’s latest batch, the accelerator confirmed to TechCrunch.

That’s a significant drop compared to cohorts that went through the accelerator during COVID when it was remote, but also more recent classes: There were 33 Latin American companies in Y Combinator’s Winter 2022 batch, 16 in summer 2022 and 10 in winter 2023.

One caveat to the stark Winter 2024 group data point is that the directory is not exhaustive; some companies prefer to remain in stealth mode. But that doesn’t explain the steady and now seemingly complete decline of Latin American startups in the company’s startup cohorts, and neither does the fact that Y Combinator post-pandemic batches are smaller and in-person again. In fact, you’d have to go back to summer 2015 to find a group with just a single Latin American participant.

The accelerator also cut down on efforts it previously made to incentivize startups to apply, such as the global outreach tours that once included stops in Brazil, Colombia and Mexico. The last such tour took place in 2022, and it was virtual, TechCrunch learned. It is one of several things that changed at YC since 2022 and its return to in-person batches.

Says Cristóbal Griffero, whose startup Fintoc was part of YC’s W21 cohort: “The number of YC deals has decreased overall, not just in Latin America. But if we consider that about 8% of the companies were from the region in the W22 batch, versus the current one where the region represents less than 1%, it becomes clear that Latin America is being disproportionately affected.”

Unpacking what’s at play is a worthy exercise for what it says of 2024 Y Combinator, but also of the state of LatAm startups more broadly, and where the Rappis of tomorrow could fit in.

Yesterday’s flavor?

YC declined to comment, but by now, we know its team always says it funds founders, not ideas. In other words, it doesn’t think in terms of startup categories. Still, its batches typically reveal a lot about what’s in fashion among entrepreneurs and investors. This year, it’s clearly AI.

With nearly double the number from the Winter 2023 batch and close to triple the number from Winter 2021, AI startups dominated at Y Combinator’s Winter 2024 Demo Day, my colleague Kyle Wiggers noted.

On the other hand, fintech representation has shrunk compared to previous batches: Only 8% of YC’s latest batch is listed as fintech in its director, compared to 24% in the winter of 2022. Historically, around one-third of the 231 Latin American companies that went through YC focused on fintech.

These data points could explain in big part why Latin American startups are less present in this batch. In a region with a strong need for better financial inclusion, fintech has long been a sector that entrepreneurs have loved to tackle. In contrast, deep tech companies represent only 10% of the Latin American and Caribbean startup ecosystem.

Deep tech and fintech aren’t mutually exclusive; AI-enabled fraud detection, for instance, would fall under both categories. But an AI-hungry YC would still be less aligned with Latin America’s tech scene.

It’s not just AI, though; it’s YC’s take on AI that makes it even more geographically challenging. Out of the 89 AI startups in its latest batch, 73 were based in the U.S. and Canada, 3 in Europe, and 26 remote. So much for the Paris AI buzz.

Maybe the French AI scene is overhyped. But judging by the number of Demo Day pitchers with French accents, YC isn’t backing fewer European founders than in previous years, where France was quite well represented. Only this time, maybe they aren’t based in Europe — only 13 batch participants are, according to YC’s directory.

Despite its virtual programs, YC has really been a Bay Area–based program for most of its 15 years. And in a conversation between longtimes YC partners Dalton Caldwell and Michael Seibel, Seibel conceded that startups can still “win” elsewhere but argued that the San Francisco Bay Area is still the place to be.

“Getting into the Bay Area is so relatively easy [compared] to all the other things you have to do to succeed. Choosing where to live is so relatively easy [compared] to all the other things you have to choose correctly. Why not pick up the easy wins? It’s an easy percentage multiplier. And this game is so hard, you might as well take the easy ones.”

This belief is even more widely shared for AI startups, Brazilian entrepreneur Bruno Vieira Costa told TechCrunch. “My own company is building generative AI models [and] based in Rio, so I don’t see it as necessarily true, but I understand for more junior founders, this must be relevant for mindset and references.” Vieira Costa’s task automation startup Abstra was part of Y Combinator’s summer 2021 batch.

Abstra’s founder thinks in-person batches are better for founder success, but there are trade-offs. Relocating to the Bay Area is hard for many Latin American founders, and perhaps riskier. Their experiences, college backgrounds and professional networks resonate less with U.S. investors, Vieira Costa said. Conversely, U.S. references were peppered through Demo Day, with founders mentioning their “nationwide” reach and their degrees whose fame isn’t always international.

While one cohort is not a trend, maybe YC, too, is returning to its U.S.-focused roots. YC’s latest request for startups called for companies to “bring back manufacturing to America” — a term that many in Latin America find grating — and the “new defense technology” section only mentioned the U.S. “Silicon Valley was born in the early 20th century as an R&D area for the U.S. military. … This decade is the time to return Silicon Valley to these roots,” partners Jared Friedman and Gustaf Alströmer wrote.

If YC continues to slant toward U.S. companies, that doesn’t mean its cohorts would be less diverse. Several YC alumni with Hispanic founders were U.S.-based when they applied.

Do LatAM startups need YC?

Founders who went to YC often call the experience “life-changing,” and the impact usually goes beyond their companies. Colombian startup and YC alum Rappi, for instance, turned into a startup factory. Looking into its multiplier effect, entrepreneurship network Endeavor found out that 130 founders previously worked at the on-demand delivery company, whose founders also invested in two dozen startups.

Rappi is on the list of YC alumni with the most revenue, but otherwise, there isn’t that much overlap between the accelerator’s Latin American bets and the region’s top startups.

“When you look at the biggest startups coming out of Latin America in the past five years, they didn’t go through YC,” Latitud co-founder and COO Gina Gotthilf told TechCrunch via email. “We don’t know why, but it might be that YC is better at assessing the U.S. market and opportunity. Latin America is hard, there’s a lot of local context that’s hard to understand if you don’t have a local grasp and strong network.”

Latitud describes itself as “the operating system for every venture-backed company in Latin America” and offers a software platform for software platform for incorporation and compliance, with funding from a16z and NFX. It also recently spun off its VC arm, Latitud Ventures. On some level, it makes YC a competitor, but also a potential co-investor. Salvy, the Brazilian company from its latest batch, is a Latitud portfolio company “where we were the first investor,” Gotthilf said.

Despite her bullishness about the region, Gotthilf can also see why an AI-heavy cohort includes fewer Latin American startups. “Most of the companies pitching [YC] are doing something in AI. I believe that core AI companies building LLMs in Silicon Valley have serious leverage right now and that real innovation in the field won’t be coming from Latin America so soon.”

This is also a reminder that many startups from the region aren’t applying to YC, or even seeking VC funding at all. A recent report on Latin American SaaS startups showed that one-third went for the bootstrapping route. This has pros and cons: It pushes startups to be more efficient but can also get in the way of bigger ambitions.

Griffero thinks that another factor is the region’s fragmentation, which makes it more difficult for founders to support each other, but he’s optimistic. “This situation is likely to change soon, as I’m seeing more founders from the region who are starting to think globally, instead of self-imposing the limit of being ‘X for LatAm.’”

Unlike predecessors like Mercado Libre, these companies will find venture capital firms both local and global willing to look at them and offer them less dilutive terms that weren’t the norm before YC became a potential rival.

There’s still the question of whether the math will add up for investors, since massive exits are still a rare occurrence for Latin American startups. But even if they succeed, doing it outside of YC means they won’t be part of its 10,000-alumni network. A lose-lose situation, or the price to pay for SF evolving from “doom loop” to “boom loop”? You decide.


Software Development in Sri Lanka

Robotic Automations

Y Combinator's Garry Tan chastises a San Francisco lawmaker again — this time about an email bill | TechCrunch


Y Combinator President Garry Tan took to the social platform X on Tuesday to again express his displeasure at elected officials representing San Francisco, where the storied accelerator is based.

This time he was lambasting California State Assembly member Matt Haney, who represents San Francisco, over a proposed late-night email bill he authored.

The tweet read, “Legalize hard work. Haney is spreading nonsense again, from the guy who killed algebra and spun up the fentanyl crisis in the Tenderloin.” He then posted a thread saying, “Is this a foreign op or what?”

Haney is what you might call Tan’s “favorite punching bag.” Back in 2016, Haney led the San Francisco Public Schools board when the district was discussing moving algebra out of middle school. The course was later reinstated in 2024. To say Tan was not a fan of that earlier move is evident in several tweets, including in April 2023, October 2022 and June 2021.

Meanwhile, in 2022, Haney was appointed to lead California’s opioid committee, to which Tan tweeted, “Politics as usual is putting the incompetent supe who presided over 1000s of fentanyl deaths in his SF district in charge of the CA opioid commission. Matt Haney has done nothing to support recovery and treatment…”

Haney defended his work combating the opioid crisis in a February LinkedIn post. In it, he referenced AB 1976, a bill that he described “would build on existing requirements for California employers to have ‘adequate first-aid materials’ for workers.” His goal is to make kits that include the life-saving medication naloxone available “as a fire extinguisher.”

What’s caught Tan’s ire this time is Haney’s proposed bill, AB 2751, that would enable employees “the right to disconnect” after agreed-upon working hours. Meaning they’d have the legal right to ignore calls, emails, texts or messages sent after that time, except in cases of emergency, and employers in violation could be subject to fines, the San Francisco Standard reported.

Haney told the publication, “If you’re working a 9-to-5 job, you shouldn’t be expected to be working 24/7. That should be available to everyone, regardless of the existence of smartphones.”

It’s worth pointing out that the bill isn’t as much to forbid people from working long hours if they choose to, as Tan implies, as to forbid companies from imposing an always-available expectation on workers. However, this idea does run contrary to the startup hustle culture, part of YC’s world, which reveres dedication to work, particularly in the early years.

Tan’s latest tweet finding fault with a California lawmaker is not unique. He went on a rant in January on X about seven San Francisco supervisors that took a violent tone. He later apologized, explained that the tweet was meant to be an obvious reference to a popular rap song and later deleted it.

It didn’t end there, though. In February, three San Francisco supervisors received threatening letters to their homes that included a photo of Tan and the phrase, “I wish a slow, painful death for you and your loved ones.”

TechCrunch spoke with San Francisco board supervisor Aaron Peskin about the letter at that time, and Peskin said he didn’t think Tan was directly responsible for someone sending the letter. However, with its threatening tone aimed at a person, not just discourse on a policy, Tan’s tweet nonetheless did “harm to democratic discourse,” Peskin said.

Attempts to reach both Tan and Haney for comment were not answered at the time of publication. Y Combinator declined to comment.




Software Development in Sri Lanka

Robotic Automations

These AI startups stood out the most in Y Combinator's Winter 2024 batch | TechCrunch


Despite an overall decline in startup investing, funding for AI surged in the past year. Capital toward generative AI ventures alone nearly octupled from 2022 to 2023, reaching $25.2 billion toward the tail end of December.

So it’s not exactly surprising that AI startups dominated at Y Combinator’s Winter 2024 Demo Day.

The Y Combinator Winter 2024 cohort has 86 AI startups, according to YC’s official startup directory — nearly double the number from the Winter 2023 batch and close to triple the number from Winter 2021. Call it a bubble or overhyped, but clearly, AI is the tech of the moment.

As we did last year, we went through the newest Y Combinator cohort — the cohort presenting during this week’s Demo Day — and picked out some of the more interesting AI startups. Each made the cut for different reasons. But at a baseline, they stood out among the rest, whether for their technology, addressable market or founders’ backgrounds.

Hazel

August Chen (ex-Palantir) and Elton Lossner (ex-Boston Consulting Group) assert that the government contracting process is hopelessly broken.

Contracts are posted to thousands of different websites and can include hundreds of pages of overlapping regulations. (The U.S. federal government alone signs an estimated 11 million+ contracts a year.)  Responding to these bids can take the equivalent of whole business divisions, supported by outside consultants and law firms.

Chen’s and Lossner’s solution is to use AI to automate the government contracting discovery, drafting and compliance process. The pair — who met in college — call it Hazel.

Image Credits: Hazel

Using Hazel, users can get matched to a potential contract, generate a draft response based on the RFP (request for proposal) and their company’s info, create a checklist of to-dos and automatically run compliance checks.

Given AI’s tendency to hallucinate, I’m a bit skeptical that Hazel’s generated responses and checks will be consistently accurate. But, if they’re even close, they could save an enormous amount of time and effort, enabling smaller firms a shot at the hundreds of billions of dollars’ worth of government contracts issued each year.

Andy AI

Home nurses deal with a lot of paperwork. Tiantian Zha knows this well — she previously worked at Verily, the life sciences division of Google parent company Alphabet, where she was involved in moonshots ranging from personalized medicine to reducing mosquito-borne diseases.

In the course of her work, Zha found that documentation was a major time sink for at-home nurses. It’s a widespread issue — according to one study, nurses spend over a third of their time on documentation, cutting into time spent on patient care and contributing to burnout.

To help ease the documentation burden for nurses, Zha co-founded Andy AI with Max Akhterov, a former Apple staff engineer. Andy is essentially an AI-powered scribe, capturing and transcribing the spoken details of a patient visit and generating electronic health records.

Image Credits: Andy AI

As with any AI-powered transcription tool, there’s risk of bias — that is, the tool not working well for some nurses and patients depending on their accents and words choices. And, from a competitive standpoint, Andy isn’t exactly the first of its kind to market — rivals include DeepScribe, Heidi Health, Nabla and Amazon’s AWS HealthScribe.

But as healthcare increasingly shifts to home, the demand for apps like Andy AI seems poised to increase.

Precip

If your experience with weather apps is anything like this reporter’s, you’ve been caught in a rainstorm after blindly believing predictions of clear blue skies.

But it doesn’t have to be this way.

At least, that’s the premise of Precip, an AI-powered weather forecasting platform. Jesse Vollmar had the idea after founding FarmLogs, a startup that sold crop management software. He teamed up with Sam Pierce Lolla and Michael Asher, previously FarmLogs’ lead data scientist, to make Precip a reality.

Image Credits: Precip

Precip delivers analytics on precipitation — for example, estimating the amount of rainfall in a given geographic area over the past several hours to days. Vollmar makes the claim that Precip can generate “high-precision” metrics for any location in the U.S. down to the kilometer (or two), forecasting conditions up to seven days ahead.

So what’s the value of precipitation metrics and alerts? Well, Vollmar says that farmers can use them to track crop growth, construction crews can reference them to schedule crews, and utilities can tap them to anticipate service disruptions. One transportation customer checks Precip daily to avoid bad driving conditions, Vollmar claims.

Of course, there’s no shortage of weather prediction apps. But AI like Precip’s promises to make forecasts more accurate — if the AI is worth its salt, indeed.

Maia

Claire Wiley launched a couples coaching program while studying for her MBA at Wharton. The experience led her to investigate a more tech-forward approach to relationships and therapy, which culminated in Maia.

Maia — which Wiley co-founded with Ralph Ma, a former Google research scientist — aims to empower couples to build stronger relationships through AI-powered guidance. In Maia’s apps for Android and iOS, couples message each other in a group chat and answer daily questions like what they view as challenges to overcome, past pain points and lists of things that they’re thankful for.

Image Credits: Maia

Maia plans to make money by charging for premium features such as programs crafted by therapists and unlimited messaging. (Maia currently caps texts between partners — a frustratingly arbitrary limitation if you ask me, but so it goes.)

Wiley and Ma, both of whom come from divorced households, say that they worked with a relationship expert to craft the Maia experience. The questions in my mind, though, are (1) how sound is Maia’s relationship science and (2) can it stand out in the exceptionally crowded field of couples’ apps? We’ll have to wait to see.

Datacurve

The AI models at the heart of generative AI apps like ChatGPT are trained on enormous datasets, mixes of public and proprietary data from around the web, including ebooks, social media posts and personal blogs. But some of this data is legally and ethically problematic — not to mention flawed in other ways.

The distinct lack of data curation is the problem, if you ask Serena Ge and Charley Lee.

Ge and Lee co-founded Datacurve, which provides “expert-quality” data for training generative AI models. It’s specifically code data, which Ge and Lee say is especially hard to obtain thanks to the expertise necessary to label it for AI training and restrictive usage licenses.

Image Credits: Datacurve

Datacurve hosts a gamified annotation platform that pays engineers to solve coding challenges, which contributes to Datacurve’s for-sale training datasets. Those datasets can be used to train models for code optimization, code generation, debugging, UI design and more, Ge and Lee say.

It’s an interesting idea. But Datacurve’s success will depend on just how well-curated its datasets are — and whether it’s able to incentivize enough devs to continue building on and improving them.


Software Development in Sri Lanka

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