Technology
Former Whoop exec’s new app Alma uses AI for all things nutrition
Generative AI models have demonstrated to app developers that combining a robust knowledge base with the right model can enable them to offer users services — once reliant on costly professionals like therapists or executive assistants — at a fraction of the price. Former VP of product at fitness company Whoop, Rami Alhamad, has a similar take on nutrition with his new app Alma.
The iOS app, launching for users in North America today, is a well-designed app with a calorie tracker and a nutrition guide with an AI layer on top of it.

Alhamad thinks that fitness apps like MyFitnessPal make nutrition tracking tedious, with users having to manually search for dishes and input them for different types of meals. Instead, he thinks you should just talk to (or type to) Alma’s AI assistant about what you ate, and the app will figure out the portions and calorie intake through estimates. You can adjust these measures after the app shows you calorie count as well.
Alternatively, you can take a photo of your meal, and the AI algorithm will identify dishes for you. Such features are already available in apps like Kholsa-backed Healthify and YC-backed Snapcalorie. However, Alma is banking on its design, variety of input methods, and ease of use as key drivers for growth.

Besides calorie tracking, you can ask the AI assistant to suggest meals to meet your goals of fiber and protein intake. Plus, you can upload a menu picture and ask the AI assistant to recommend suitable items according to your goal.
The app also gives you a score, which is based on what you ate on a particular day in terms of calories and macros. The app uses that score to give you tips on improving your diet.

What’s more, as you chat more with the AI assistant in the app, it learns your preferences and gives you suggestions accordingly. You can see these insights in your profiles and edit them as well.
The company expects to make money through a monthly subscription of $19 or an annual subscription of $199.
The story behind Alma and future plans
Alhamad, who built a sports tech startup called Push and eventually sold it to Whoop, told TechCrunch he was thinking of doing something new in the area of health and nutrition after exiting Whoop in 2022. According to him, while there are trackers for workouts and sleep, there isn’t a practical solution to tracking nutrition.
“For the last 10 years of my life, I have constantly gained and lost weight. I have spent a long time on apps like MyFitnessPal, typing stuff to track my food intake. When ChatGPT came around, just like a lot of other people, I started using it for meal planning and kitchen support. However, it wasn’t personalized. So last year, after I left Whoop, I started thinking about this problem,” Alhamad said.

Alhamad, who became an entrepreneur in residence at Menlo Ventures to build Alma, believes that in the consumer space, there will be specialized companies using AI that focus on only one topic. The startup has raised $2.9 million from Menlo Ventures and Anthropic until now.
On the technical front, the company is using a mix of models to get results. Alma noted that it is using knowledge from Harvard Nutrition to fetch answers. The company said it has several people on staff focusing on nutritional knowledge to expand its data set. Alhamad said that the startup also wants to look beyond the U.S. to bring health knowledge from around the world.
The Alma team would like to build on food discovery in the app as well. Currently, you can ask for recipes and get answers from the AI assistant, but you can’t save them for future reference. The app wants to auto-populate food suggestions based on your goals and preferences. Plus, it will also have a way to cook food easily from what you have in the pantry.
Chatbots like ChatGPT and Claude can already do a lot of those things, but the friction for the user is that you have to prompt them correctly with context each time. Apps like Alma are trying to take away the headache of writing long prompts through app features. Samsung’s Food app gained some features like pantry tracking and recipe suggestions based on the items that you have in the house last year.
Shawn Carolan, a partner at Menlo VC, said that ease of entering your food intake makes Alma an attractive solution.
“If I eat 20 things in a day, it’s tough to record each one of them by trying to find them in a list. With Alma, you can just talk to it and register all of that quickly. If something took you 30 seconds and a new app reduces that to just a few seconds, it becomes a key usage driver,” Carolan said.
He added that right now, plenty of people are not consulting a nutritionist, and Alma can give them easy access to that kind of information.
“People are spending thousands of dollars a month to get injections to lose weight. So the question is, if you had this perfect nutritionist in your pocket who could help you with your goal, maybe you can take a drug-free approach to achieving your health goals,” Carolan said.
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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