TechCrunch+ Roundup: SaaS+ Basics, Labor Day Reading Recommendations, AI Building Trust with Customers

AI Basics


“SaaS+” refers to software companies that enhance core products and services with value-added features such as embedded e-commerce, insurance, and payment processing.

Incorporating these features into your product pipeline creates secondary conveniences that delight customers and also create new revenue streams that excite investors.

Based on their experience building platforms for youth athletics, Justin Kaufenberg (Managing Director of Rally Ventures) and Greg Blasko (Co-Founder of Monoline) used multi-merchant cart technology to create a “SaaS+ House Fundamentals.” How to build it correctly. Child data models and other ideas.


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All six recommendations include detailed examples of software architecture choices made within companies like Kayak, Amazon, and Shopify that combine to increase the number of transactions for each user.

According to the authors, “Aligning around these concepts will drive the product roadmap, core technology architecture, pricing strategy, and product marketing.”

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walter thompson
TechCrunch+ Editorial Manager

The 6 most important things to know about SaaS+ product architecture

Avoid expressing the “Use of Funds” slide as a percentage

Image credits: Haje Kamps (Opens in new window) / TechCrunch+ (Opens in new window)

Creating a pitch deck is like playing chess in four dimensions. Founders need to provide investors with a compelling story that will take the company from this funding round to the next.

Some teams like to share slides explaining their capital allocation plans, but Haje Jan Kamps says a percentage breakdown is a “red flag” for potential investors. .

“How much technology do we need to develop? How many customers and revenue do we need? What kind of staff do we need to develop that technology, sell it to customers, and support it?”

In other words, “We're raising money for milestones, not percentages or runways.”

Avoid expressing the “Use of Funds” slide as a percentage

4 ways to show your customers they can trust your generative AI enterprise tools

Four antique keys on white background
Image credits: Umu dash 9 (Opens in new window) / Getty Images

Given our ongoing debate about the existential dangers of AI, it was interesting to sit in a theater last night and watch a three-hour epic about the dawn of the nuclear age.

Eighty years later, we are once again entering a new technological era without first creating a framework for ethics, safety, trust, and a host of other considerations.

According to TC+ contributors Luigi La Corte and Leo Arango, there are no industry standards or government agencies to guide AI development, forcing startups to establish new best practices.

“Providers that take proactive steps to reduce the potential for ‘randomness’ in LLM and build maximum trust will be the big winners.”

4 ways to show your customers they can trust your generative AI enterprise tools

Breaking down the pitch deck: BusRight's $7 million Series A deck

Image credits: bus right (Opens in new window)

America's school buses make up the nation's largest public transportation system, with 10 billion student rides each year, by some estimates.

School bus management platform BusRight recently raised $7 million in Series A for a “meticulous” and “well-designed” deck, says Haje Jan Kamps.

  1. cover
  2. go to market
  3. Target audience
  4. market size
  5. problem
  6. Solution/Product
  7. traction
  8. sales process
  9. Business model/unit economics
  10. customer's voice
  11. Sales decisions are made dynamically
  12. growth forecast
  13. team
  14. Closing/Contact

Breaking down the pitch deck: BusRight's $7 million Series A deck

Ask Sophie: What are the visa options for startup founders with families?

A lone figure stands at the entrance to a hedge maze, with an American flag in the center
Image credits: Bryce Durbin/TechCrunch

Dear Sophie

I'm a startup founder living in Berlin. I just returned from a visit to Silicon Valley, where I met a new customer. During my travels, I realized that I needed to be based in the US to expand my base with US customers.

What are the best visa options for my family and me? Will any of them allow my husband to work and continue his career?

— In search of scale

Ask Sophie: What are the visa options for startup founders with families?

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Looking for your next book? These 9 authors recommend reading for you

Illustration of a group of books, one is closed
Image credits: Daniel Grizelgi/Getty Images

Anna Heim asked several technology writers, “What book did you read this summer that you think others might enjoy?” The following people answered:

  • Adam Duvander
  • Phil Rosen
  • Addie Pollack
  • andrew lee miller
  • David Cadabby
  • Sarah E. Brown
  • zeke fake
  • david spinks
  • Purna Virge

Looking for your next book? These 9 authors recommend reading for you

Making AI trustworthy: Can we overcome black box illusions?

Square black box mockup on dark background. 3D rendering
Image credits: custom designer (Opens in new window) / Getty Images

A cartoon character might think of a giant hot dog when they're hungry, but in large-scale language models (LLMs), this can happen for a variety of reasons, including poor data quality and unclear prompts. Hallucinations may occur.

According to Dr. Mike Capps, CEO and co-founder of Diveplane, major AI platforms “make inferences and estimates based on what they think is the most likely answer, not the actual data.” is.

Instance-based learning, on the other hand, “compares training data points to each other to gain insight about the dataset and predictions,” Capps said. “In other words, IBL 'shows its results.'”

Making AI trustworthy: Can we overcome black box illusions?



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