If you want to get your product in a grocery store in Mexico City, Dataplor has global location intelligence to help you do that.
The company raised $2 million in 2019 to bring Latin American food delivery vendors online.
Dataplor uses artificial intelligence, machine learning, large language models and a purpose-built technology platform to take in public domain data.
While that is not totally unique — there are companies like ThoughSpot, Esri and Near doing something similar around business and location intelligence — Dataplor’s “secret sauce” is combining all of that technology and public domain data with a human factor.
The round also includes participation from Quest Venture Partners, Acronym Venture Capital, Circadian Ventures, Two Lanterns Venture Partners and APA Venture Partners.
The “AI ClipHero” feature creates short clips from livestreamed selling events, which often last for hours.
“Shoppable ‘explainer’ videos are the most powerful video commerce medium right now, with TikTok and Instagram becoming the primary way Gen Z discovers, learns about products and purchases products.
However, creating shoppable videos [requires] significant production times,” CommentSold CEO Guatam Goswami told TechCrunch.
AI-powered clipping software isn’t new, but not many companies have developed AI-powered tools specifically designed for live commerce.
Since launching in 2017, CommentSold now helps over 7,000 small- and mid-sized businesses deliver live shopping and e-commerce experiences.
On Tuesday at the Google Cloud Next customer conference in Las Vegas, Google introduced a new AI-fueled video creation tool called Google Vids.
At Google Cloud Next, we’re unveiling Google Vids, a brand new, AI-powered video creation app for work,” Aparna Pappu, VP & GM at Google Workspace said, introducing the tool.
Examples of the kinds of videos people are creating with Google Vids include product pitches, training content or celebratory team videos.
Like most generative AI tooling, Google Vids starts with a prompt.
Along the way colleagues can comment or make changes, just as with any Google Workspace tool.
Logspace co-founder and CEO Rodrigo Nader previously worked on machine learning problems at enterprise AI company Bitvore, together with co-founder and CTO Gabriel Luiz Freitas Almeida.
“This acquisition will provide current Langflow developers and current DataStax developers additional resources and integrations to elevate their applications to match the scale of their ambitions,” said Chet Kapoor, CEO and chairman of DataStax.
“Langflow is focused on democratizing and accelerating generative AI development for any developer or company, and in joining DataStax, we’re working together to enable developers to put their wild new generative AI ideas on a fast path to production.”The DataStax team argues that this acquisition effectively completes its effort to build a one-stop generative AI stack.
Langflow will continue to operate as a separate entity, so existing users shouldn’t notice any immediate changes.
“We couldn’t be more excited about joining the DataStax team and supercharging our ability to grow the Langflow platform, bringing it to more researchers, developers, enterprises and entrepreneurs working on generative AI applications,” said Nader.
“Building data models is best done in Python, but many of my team members only understood spreadsheets,” Kircos told TechCrunch.
“Quadratic is on a mission to build the best tool for understanding data,” Kircos said.
“Quadratic is a brand-new type of spreadsheet, not an Excel clone,” Kircos said.
There’s Sourcetable, whose headlining features include real-time document collaboration, data syncing with business apps and an editor for querying large data sets.
Neptyne, which launched in March 2023, is building a Python-powered spreadsheet targeting data scientists.
Climate change.
The UK will be even better off, gaining 40 outdoor days by the end of the century.
Illinois will lose more than a month of outdoor days by the 2080s as the summers grow unbearably hot.
Nigeria’s summers will grow even hotter and longer, lopping off nearly two months of outdoor days.
Both Nigeria and India would only lose one month of outdoor days, and more northerly regions retain some of their added outdoor days.
So they launched Metaview, an AI-powered note-taking app for recruiters and hiring managers that records, analyzes and summarizes job interviews.
“Metaview is an AI note-taker built specifically for the hiring process,” Magos said.
“It helps recruiters and hiring managers focus more on getting to know candidates and less on extracting data from the conversations.
“Zoom, Microsoft Teams and Google Meet all have transcription built in, which is a possible alternative to Metaview,” Magos said.
I’m skeptical and a bit wary, too, of Metaview’s approach to how it handles speech data.
Mermaid, the open source diagramming and charting tool, has long been popular with developers for its ability to create diagrams using a Markdown-like language.
They were watching ‘The Little Mermaid.’ That’s why I named that eight years ago.”Early on, Mermaid was mostly about flowcharts, but over time Sveidqvist added other diagram types — and the community quickly made it its own, too.
Firestone told me that the cloud version of the open source project had 4 million users last year.
That’s a market Mermaid Chart is looking to address by building easier-to-use tools for this group of users.
“Mermaid Chart is expanding the community by bringing the benefits of Mermaid to all types of business users, leveraging AI as a catalyst.
Earlier today, Sentry announced its AI Autofix feature for debugging production code and now, a few hours later, GitHub is launching the first beta of its code scanning autofix feature for finding and fixing security vulnerabilities during the coding process.
This new feature combines the real-time capabilities of GitHub’s Copilot with CodeQL, the company’s semantic code analysis engine.
The company also promises that code scanning autofix will cover more than 90% of alert types in the languages it supports, which are currently JavaScript, Typescript, Java, and Python.
“Just as GitHub Copilot relieves developers of tedious and repetitive tasks, code scanning autofix will help development teams reclaim time formerly spent on remediation,” GitHub writes in today’s announcement.
To generate the fixes and their explanations, GitHub uses OpenAI’s GPT-4 model.
TigerEye CEO Tracy Young and her husband and CTO Ralph Gootee helped build their previous startup, PlanGrid, into a $100 million ARR business before selling it to Autodesk for $850 million in 2018.
Yet in spite of that success, they always felt they left business on the table because of an inability to forecast business changes accurately.
“TigerEye is a business simulation engine that helps companies predict their future,” Young told TechCrunch.
The couple was advising other startups at Y Combinator in 2021 when they decided it was time to build TigerEye.
The following year, they brought a bunch of the core members of the PlanGrid team back together and started working on the problem.
