Women throughout history have always sought out relationship advice, whether from newspaper columnists like “Dear Abby,” letters to Cosmo, or just chatting with girlfriends. In the social media era, you can instead post anonymously on Reddit relationship forums or look to social media creators who discuss the topic.

Now, two sisters are launching a startup for young women, Hot Girl Hotline, which focuses on bringing AI into these conversation.

I know what you may be thinking: With all the advances in AI technology, founders are building something for women to talk about their dating woes? Well…yes!

The reality is that people have already been turning to large language models (LLMs) via apps like ChatGPT for this type of advice, and the team believes this type of activity should be handled more carefully.

Unfortunately, as we’ve seen, chatting with a general-purpose chatbot about personal topics can sometimes lead to disastrous effects — especially for those who were already mentally fragile. ChatGPT, for example, has faced a wave of lawsuits over its alleged manipulative conversation tactics that plaintiffs say contributed to negative mental health effects, and, in some cases, suicide.

The idea behind Hot Girl Hotline is to reach young women who are looking to have these sorts of private conversations while navigating dating life and relationships, but in a safer way.

“We’re not trying to be an AI companion,” explained Balia Mudgil, formerly a social media consultant, who co-founded the startup with her sister Sumrin (“Sumi”), who studied computer science at Stanford. “A companion is really going after solving loneliness, escapism, boredom — and you can rely on a lot of emotional dependency from that AI companion.”

Balia says the startup’s approach is to focus on offering quality advice grounded in behavioral science, but in a way that makes it feel like you’re chatting with a trusted friend or big sister. The conversation is often Socratic, with the AI asking you questions to help you arrive at the answer yourself.

“This is not to replace speaking to a human. This is not clinical advice, and we have a lot of safeguards in place…we take safety really seriously,” Baila said. If conversations raise flags, for instance, the user is referred to resources such as the crisis hotline 988.

“We believe the key to quality advice is not just knowing what to do next; it’s understanding why you’re doing it. So that’s a big piece of it,” added Sumi.

Notably, the AI also knows when to end the conversation; it doesn’t keep asking follow-up questions to drag you further down a rabbit hole. Instead, it pushes users to go take action out in the real world rather than ruminate on the problem.

The sisters believe there’s room for an app like this because not everyone wants to post on the web for advice, and there are times when you don’t want to bring up a personal, dating, or relationship-focused issue with a friend.

Friends can bring their own biases into the conversation, or the user may not want to put their partner on blast for something they did before they determine whether they’re going to work through it or end the relationship.

“It doesn’t mean you’re replacing your friend — you’re just trying to get another perspective,” says Balia of the hotline.

The app also personalizes its advice for each user to reflect their values, goals, identity, and tastes.

Under the hood, the startup relies on a mix of AI models and encrypts users’ data in transit and at rest. It doesn’t sell or train on the data, either. When it uses a third-party AI model, it follows a zero-data-retention policy there as well.

Hot Girl Hotline plans to monetize through a $9.99 per month subscription, which hundreds of its most active users are already paying for. Later, it may incorporate ads, too.

Relationship advice is just the beginning of how the company wants to cater to young women. It also plans to expand into other areas, like beauty and lifestyle.

New York-based Hot Girl Hotline is currently bootstrapped and will be participating in TechCrunch Disrupt’s upcoming Startup Battlefield 200. It’s available on iOS and the web.

There isn’t a shortage of accelerators for startups, but one of the few that investors watch closely is PearX, a 12-week program that caps its cohorts at a mere 20 startups and is run by Pear VC, a pre-seed and seed-focused venture firm.

PearX’s bi-annual demo day is consistently attended by top venture capitalists, reflecting the historically strong caliber of companies in each batch. Some of the startups that came out of recent cohorts include Known, which uses voice AI to match people for dates and secured funding from Forerunner Ventures. Another is Andera, a startup that automates corporate audit and compliance tasks and raised a $37 million Series A from Lightspeed this summer.

The PearX program distinguishes itself from Y Combinator, the OG of startup accelerators, in several ways. Besides being much smaller, it doesn’t offer companies standard terms. It’s investments can be as high as $2 million. Moreover, unlike YC, where some of the buzziest startups raise funding before the program ends, PearX claims to keep its participants under wraps until demo day.

TechCrunch attended Pear’s latest demo day, which took place in San Francisco last week, and then stuck around to ask some of the VCs about which companies stood out to them out of the 16 startups in the batch.

Below are five of the companies that seemed to have generated the most buzz.

Speridlabs

What it does: Spatial foundational models for powering robotics, gaming, and special effects.

Why it stood out: While Speridlabs is certainly not the only startup developing world models to do for 3D space what LLMs did for language, it argues that its more established competitors, including Runway, Odyssey, and Google’s Genie, cannot be queried or modified. To solve this, Speridlabs built Mundus, which it calls a 3D Midjourney because it keeps its geometry persistent when a part is changed.

Saia

What it does: building a fast, cost-efficient chip that runs inference directly on device.

Why it stood out: Nvidia’s GPUs and Google’s TPUs require expensive, power-hungry memory that is currently in short supply. Saia claims to have designed a chip that bypasses traditional memory by running AI directly out of flash storage. The startup claims its chip delivers vastly superior speeds and eight times the capacity while using four times less power than Nvidia’s Jetson, a leading local AI chip and board. Saia says it’s already in discussions with Samsung regarding memory integration, plans to start fabricating test chips next year, and aims to launch mass production by 2028. Developing hardware is notoriously brutal, but 20-year-old founder Ayaan Govil managed to convince Pear VC co-founder Mar Hershenson, a semiconductor engineer with a PhD in circuit design, to take a chance on his vision.

Ren

What it does: a more secure AI personal assistant.

Why it stood out:  Ren claims to offer functionality similar to Muse and Instinct, but with a heavy focus on security and privacy. The startup says it keeps data on-device where possible or uses a secure private cloud, checking actions against strict user-set guardrails. Furthermore, Ren distinguishes itself from competitors that rely on human operators to place phone calls by using a fully automated voice system, keeping human involvement entirely out of the loop to protect user privacy.

Veros

What it does:  AI native trust and estate planner.

Why it stood out: Setting up a trust is expensive and time-consuming. Veros wants to simplify the work normally done by attorneys, wealth managers, and trust administrators by employing AI to recommend structures and manage assets over their lifetime. Already managing $250 million in AUM, the startup is also in the process of securing a trust charter so it can operate as a regulated trust company itself.

Datum

What it does: AI engineer for industrial design.

Why it stood out: Datum wants to expedite physical product development by helping engineers find and use what they built previously. The startup indexes a company’s library of 3D designs. Using proprietary Geometric Fingerprint technology, Datum identifies parts based on their shape, helping streamline and automate engineering across a massive physical design market.