Reflections & analysis about innovation, technology, startups, investing, healthcare, and more .... with a focus on Minnesota, Land of 10,000 Lakes. Blogging continuously since 2005.

Tag: AI

How Two Midwest VCs Have Mastered Success Through Multiple Tech Cycles

For twin brothers Rob and Ryan Weber, founding partners of Great North Ventures in Minnesota, entrepreneurship began in college, just as the Internet was taking off in 1996. As computer science majors (and Rob later switching to entrepreneurial studies), they learned quickly that Internet traffic could be monetized. Over a few years, they built several websites that became profitable businesses before they even graduated.

headshots of Rob and Ryan Weber

Rob Weber (left) and Ryan Weber, Founding Partners of Great North Ventures.

They tell a favorite story. An LA company wanted to buy their business and flew them out. They’d never flown anywhere, and were too young to rent a car, so they brought along their mom, whom they introduced as their marketing consultant. But they decided not to sell. Why should they, when they were enjoying making lots of money, having come from humble beginnings? But their real passion was to continue building things no one else was doing. When the dot-com crash came in 2000, they were well positioned to weather the storm, having consolidated their businesses into a profitable entity that, being based in Minnesota, they playfully named Freeze.com.

This is the story of how they moved on from winning in that early tech cycle to master those that followed, and how they positioned themselves to win in what is now the biggest cycle of them all.

Investing in Others’ Ideas

In the early- to mid-2000s, not only were Rob and Ryan running their successful Freeze.com business, which grew to some 30 employees, but they soon became angel investors on the side, backing promising businesses they saw some of their peers starting. And that brought them rewards later when they realized exits from some of these investments. It was a harbinger of things to come, as they went on to became successful VCs in later years. (More on that soon.)

What happened just a few years after the dot-com era was the dawning of another huge cycle, driven of course by mobile technology — and most notably by the iPhone, beginning in 2007. The Webers’ business, which had by now adopted the name W3i, jumped on the opportunity to benefit from the explosion of opportunity that presented itself in mobile advertising.

Lessons Learned

Looking back, what did the Weber brothers learn from their experience in those first two tech cycles?

“In our high school to early college days, we spent 1996 to 2000 marketing our different websites, so that by the time we launched Freeze.com, we already had an in-depth understanding of how to grow an Internet publishing business efficiently,” said Rob. “While others were burning huge amounts of VC capital in the late ’90s, we were growing a bootstrapped publishing business built on a strong foundation. What really set us apart from other dot-com businesses at the time was our proprietary business intelligence system, which gave us a competitive advantage in optimizing traffic acquisition and site optimization, including proprietary A/B testing systems.”

“We were heavy users of performance data,” said Ryan. “We pushed the limits of data center capacity in the early 2000s, actually having to build out our own.” (Note: well before the cloud tech cycle.) “We ran thousands of experiments optimizing our website using A/B testing through our proprietary back-end publishing technology. That allowed us to dominate the category of free PC software versus other rivals for many years, leading to strong profitability. We built recommendation systems early-on using data we collected to optimize the performance of our website.”

Rob added: “When the dot-com bust occurred in 2000, the tide went out on thousands of VC-backed dot-com businesses. Those that survived and thrived were the ones that focused on iterating quickly and taking a very analytical approach to delivering efficient, lasting growth.” Freeze.com was indeed one of those.

Technology Was Paramount

Ryan Weber recounted lessons learned as the brothers built their expanded business, W3i, and leveraged the latest technology advances, including AI and ML (That business was later renamed NativeX.) “We recruited Dr. James Shanahan, a PhD in machine learning then affiliated with UC Berkeley. Under his guidance, we developed predictive advertising models that leveraged non-personally identifiable data we collected from our embedded SDK in popular iPhone and Google Play apps and games. Our prediction models were leveraged to increase conversion rates for our advertisers.”

NativeX’s ad tech allowed developers to make more money off their apps. For example, Sega was one gaming firm that partnered with NativeX to boost its mobile advertising revenue. “We operated in the mobile ad tech space,” said Rob. “There were hundreds of competitive companies. We had a successful exit — most didn’t. Applovin became one of the other big winners. Their team delivered incredibly high-performing AI models.”

Rob offers some insightful history in this regard. “Early on, Amazon performed extensive experimentation and A/B testing to optimize customer lifetime value. Unlike many competitors who focused on short-term profits, Amazon’s foundational ‘customer obsession’ and long-term perspective led it to make strategic bets on what would build loyalty and increase customer spending over time. This was similar to the system we built early on with Freeze.com. Obviously we didn’t achieve the scale of Amazon, but with a similar approach, we grew very fast and efficiently.”

In the early days of the App Store, which launched in 2008, the most common way to make money from an app was to charge for it, often 99 cents. “But just like with the web, over time it was the free apps that quickly went on to dominate the traffic on mobile,” said Rob. “And just like the Facebook games, which grew extremely quickly just prior to this time period, free-to-play games leveraging virtual currencies dominated the top-grossing charts in the App Store. We knew that not all popular free games and apps were great for driving demand for virtual currency, so we focused on creating a system to help games and apps that had poor monetization to make more money. Just like earlier when we focused on PC software categories that generated excessive amounts of traffic but that consumers were unwilling to pay for.”

Leveraging Some Heavyweight Experience

The Weber brothers never really needed outside investment as they grew their profitable businesses. But, in their journey to grow W3i / NativeX, they realized that taking some angel investment from certain key, longtime Silicon Valley tech execs, whom they had met, would bring value to their business. These investors became valuable advisors and mentors as the brothers expanded the business to 170 employees. They were successful operators who guided them at critical junctures. And they benefited when NativeX went on to be acquired in 2016.

“We also tapped the strength of the technology ecosystem here in our own state of Minnesota, in terms of managing and leading as a data-driven technology business,” said Ryan. This was as the mobile tech cycle was leading right into the cloud cycle. “We hired Andy Johnson as our CEO. Andy’s background as an executive at various companies gave him a front-row view of the world’s leading database marketing solutions and some of the organizational and business requirements to scale such a business, which was helpful to us for our digital advertising model.”

NativeX built the technology it needed and also leveraged other talent in the San Francisco Bay Area. With the aforementioned Dr. James Shanahan, an adjunct professor at Berkeley, Ryan said they were able to recruit top PhD students to work for them that were primarily looking to gain experience before commanding top market wages. The competition for this talent was fierce, Ryan recounts. “But the key was having a leader who was a competent mentor and coach. Shanahan was very personable, encouraging his team to be a part of the company and to fully engage in team-building activities. He knew the stakes were high and went out of his way to build and retain key talent. Also, Shanahan was active in the industry, striving to understand the state of the art. That included, extremely early-on, following advances in neural networks and their breakthrough uses of ‘deep learning’ – foundational research sparking massive interest in AI, which eventually led to LLMs – and seeking to figure out the trajectory and potential for our business.”

“At W3i, we had only built our A/B testing capabilities internally, and we outsourced multi-variable optimization to companies that had capabilities using statistical and machine-learning systems, including one that came out of MIT,” said Ryan. “But as we evolved to NativeX, we required high-capacity systems that could train offline models, using statistical and machine-learning in an ensemble approach, which could then be deployed to make decisions based on predictions in less than 200 milliseconds. With NativeX, we essentially built an intelligent ad server for determining the effectiveness of ads served towards a targeted outcome for the advertiser.”

While NativeX was reaching its full potential in May 2014, VentureBeat, a tech innovation news outlet, ranked the Webers’ company No. 6 on a list of the top-10 most effective monetization companies. Fast forward, in February 2016, Mobvista announced plans to acquire NativeX as part of its global expansion in a deal reported to have paid gross proceeds of about $25 million in cash.

Moving On to Their Next Big Act

After NativeX was acquired, the Webers made a significant transition in their careers. With their notable success as operators in the dot-com cycle and, later, in the mobile and cloud tech cycles now behind them, they took some time to think about their next move.

“Ryan and I had been successful angel investors for 10 years at that point, but we had never talked about launching a fund until a year after we sold NativeX,” said Rob. “We had seen a small number of new VC funds spring up, and we felt we could deliver more value to founders by sharing our operational knowledge with them. We knew the operational guidance provided by most VC funds was shallow, because most general partners had never scaled a business before and lacked perspective.”

Startup founders will invariably say they prefer VCs who are former operators. They know they’ve been in their shoes. They’re very aware the road is far from easy. Like them, operator VCs have clawed their way through the tough times, pitched endlessly, suffered all the turn-downs, built teams, and struggled to get to product-market fit. The Weber brothers were confident that founders wanted investors who not only get all that, but have actually lived through it.

So, in 2017, the brothers embarked on the launch of their first VC fund, which they initially called Great North Labs (later changed to Great North Ventures). They ultimately raised just under $24 million for that first fund.

Was that transition from operator to VC difficult? Did the idea of pitching investors rather than customers mark a radical change for them? “We were blessed to find early support from limited partners who knew about our success as founders and angel investors from our prior 15-plus years of history with startups,” said Rob.

Looking back, Rob said: “If you had walked into our office while we were growing our W3i / NativeX business, on the walls throughout there were LCD screens with the KPIs for our budget and the KPIs related to our business. We knew hour by hour exactly how we were doing. I miss that part of it, the real-time operating aspect. You don’t get that in an investment business. As a VC, you don’t control businesses, you just own small percentages of your portfolio companies. But when you’ve seen things work and not work, you do get to make suggestions. That’s the value with an operator-led fund such as ours. We’ve been there.”

Ryan added: “Yes, we certainly provide mentoring and coaching as an operator-led fund. We also have many supporters who have scaled businesses. So, we’re serious about actively helping our founders, either ourselves or by tapping our supporters who have the right domain expertise. In addition, we have relationships with local talent and international talent, and that includes full-time, fractional, and agency-type contractor relationships. We know at which stage it would make sense to put any of these in the seat.”

Looking for the Best Founders

So, how do the Weber brothers agree on deciding to invest in a given startup? What key things do they look for?

Says Ryan: “At Great North, we’re founder-first and economics-driven. We back gritty, insight-led teams solving urgent problems in large markets.”

Rob adds this: “Number one, I’d say we look for ‘blue ocean’. Have the founders identified a new market space, or a new approach to an existing market, and become a ‘one-of-one’ company with no meaningful direct substitutes? Number two, we look for customer acquisition advantage. Companies that have identified an efficient way to scale.”

What are some key traits these VC brothers look for in a founder before investing? That was an easy response for Rob: “We like those that demonstrate speed of execution early on.”

And he expanded: “Another value we look for in entrepreneurs is accountability. By that, I mean don’t be a victim. Don’t let people tell you no. I think you’ll see this pattern with successful entrepreneurs. They’re going from zero to one with or without you, and you’re either on the bus or you’re off. But they’re doing it. They’re not waiting for someone to decide if they can do it. They’re doing it.”

When Ryan is asked his take, he has even more to say: “Grit plus velocity. Founders who are relentlessly resourceful, ship and learn fast, and show consistent weekly progress. We look for founders that have a clear, data-backed thesis and a deep empathy for the user and their problems.”

Finally, Ryan said. “We look for ‘talent and selling magnetism.’ Can they recruit A-players and win customers and partners with crisp, metrics-driven storytelling.”

Early Success Leads to Fund II

Great North Fund I, closed in 2018 at just under $24 million, has 15 remaining portfolio companies and is fully deployed, except for limited follow-on investments. Fund I breakout companies in Fintech and Proptech have achieved scale, and continue to grow very quickly and capital efficiently, including Branch and WithMe.

With the Webers’ background in publishing optimization, Great North has even invested in certain Media Tech companies, such as Featured.com and Pear Commerce.

The success of Fund I led to Great North Ventures closing its Fund II in 2022, at a much larger total of $41 million, with many new limited partners participating. That fund is now invested in 27 companies to date, with approximately $15 million of its funds remaining to be deployed, including as follow-on investments.

Now the Great North Ventures team also has its sights on the launch of Fund III. Stay tuned!

The Biggest Big Tech Cycle of All Now in Full Swing

Today, it’s quite clear the era of AI innovation is here and rapidly taking hold. Great North Ventures is actively investing what it sees as the best opportunities, positioning the firm for even more success in its role as an experienced investment partner. Its latest investment themes have focused on vertical AI applications, fintech, proptech, and enterprise productivity.

What’s an example of these themes that Great North Ventures sees today? And what are some portfolio companies leveraging these themes? “I’ve heard others cite ‘SaaS-plus’ – but I call it embedded finance,” said Rob. “The Total Addressable Market for many vertical software companies can appear small but, through embedding financial products, the expansion revenue can exceed the expectations of most. We first saw this with one of our earlier angel investments, FieldNation. We are now seeing similar expansion opportunities in companies in our portfolio like HLRBO. We also like to invest in the infrastructure companies that are supporting this trend, such as Yardstik and LendAPI, both also in our Great North Ventures portfolio.”

Inspired By Break-Out Startups

When judging a VC firm, one of course looks at the growth of the companies in its portfolio. That growth has been impressive for the Webers. It’s also informative to ask these twin brothers what inspires them to further success – namely, what’s a favorite break-out startup that’s not in your portfolio?

“I admire what the founders of Sezzle have been able to build,” Rob said. “From our earliest conversations with them, when they were just starting, they were adamant the existing Buy-Now-Pay-Later companies like Affirm and AfterPay were not serving under-banked consumers well. They found there was an enormous opportunity to use AI and other available data to make better credit decisions.” (Note: Sezzle was founded in Minnesota in 2016, and was just ranked the second-fastest growing public company in the state, up from 18th fastest the prior year.)

Ryan cites another one: “I admire Brad Dwyer at Roboflow from Des Moines, Iowa. He’s the archetypal ‘builder.’ He learns by shipping, turns frontier tech into practical workflows, and iterates ruthlessly from real user pain. He’s also a community catalyst and talent magnet, consistently expanding the circle around the company. This is a Midwest breakout that reflects the traits we prize.”

Where Great North Ventures Goes From Here

A recent study by MIT found a 95% failure rate by enterprises trying new Generative AI tools. Yet startups are succeeding by creating visible wins in narrow workflows, then expanding. The same study finds a 67% success rate in full deployment.

“Think in terms of the last mile of AI,” Rob Weber contends. “In this GenAI mega cycle, the startups that deliver immediate value are going to win.”

The Weber brothers are quick to identify the unique value proposition of their planned Great North Ventures Fund III. It is based on their team having demonstrated a successful entrepreneurial and investing track record through past mega innovation cycles – dot-com, mobile, and cloud – which gives them the unique ability to attract the top startups and talent fueling today’s mega-cycle: Generative AI. “The largest gains businesses are seeing from GenAI,” according to Rob Weber, “are coming from startups that are solving narrowly focused problems and expanding outwards. We believe these are ideal conditions for a small, vertically focused VC fund.”

As they look to continue their investment from Fund II, and from the future Fund III, Rob and Ryan define their firm as operator-investors focused on Vertical AI and Embedded Finance — a pairing they believe will produce the most capital-efficient, defensible companies of the next cycle. The firm’s sweet spot is seed-stage teams turning frontier capability into practical, measurable outcomes, fast. Great North is active in real estate/proptech, financial services (banking, payments, lending, insurance), and media/advertising tech – areas with clear pain, measurable outcomes, and fast commercialization. The firm invests both in full-stack vertical apps and in infrastructure that lets those apps embed finance safely and quickly.

Bottom line, they say: “We back founders who can ship, prove, and compound – turning AI into workflow, and workflow into durable fintech economics.”

———-

Note: This post first appeared on the Great North Ventures website, with my byline, and here’s my bio that appeared with it:

Graeme Thickins is a startup advisor and an investor in Great North Ventures Fund I. He is also an angel investor in two subsequent Great North portfolio companies. He has written previously for and about Great North Ventures and its founders over several years.

Eight Up-and-Coming Healthcare & Medtech Startups I Hosted Recently

Among many other things I do, I serve on the Board of a wonderful organization called MinneAnalytics, a community of some 20,000 data and business professionals. The seventh edition of our Healthcare Data Science Conference took place Friday, April 19, 2024 at the Best Buy headquarters campus in suburban Minneapolis. More than 1000 attended.

In my role as Startup Showcase Organizer, I hosted yet another session of startup pitches at this conference. It was the 15th such session we’ve had over the past decade. (We do them at all our major conferences, not just the events we do focused in healthcare.) Not counting this session, we’ve now featured a total of 114 startups, which collectively have raised hundreds of millions in capital and created thousands of jobs. About 10% of them have had successful exits via acquisition so far.

Big Crowd

The startup session at the recent conference had what I think was the largest attendance of any we’ve ever done. It was standing room only throughout the two and half hours. I attribute that both to the quality of the startups, and to the amazing medtech ecosystem we have here in Minnesota.

The startup presenters and their companies were as follows. I encourage you to visit their websites to learn more the amazing work each is doing!

• Mark Summers, Dosentrx

Dosentrx web page image

 

• Tony Hyk, TheraTec

TheraTec web page image

 

• Jeremiah Scholl, AESOP Technology

AESOP web page image


• Keith Kallmes, Nested Knowledge

Nested Knowledge web page image

• Lia Butler, NeoPrediX

NeoPrediX web page image

• Laura Stoltenberg, Cryosa

Cryosa web page image


• Ping Yeh, Vocxi Health

Vocxi web page image

 

• Chris Darland, Peerbridge Health

Peerbridge web page image

 

A VC Panel Discusses Funding Issues

A panel I organized took place after the startup pitches. It packed the room even further — very little standing room was left! The topic was, “The Current Funding Environment for Healthcare and Medtech Startups.”

Panorama of the audience during the panel

I asked each panelist, What was the single best insight or comment you would cite from the discussion?

Frank Jaskulke, Medical Alley Association: “Having heard Stephanie Rich share that they may see 2500 companies in a year to invest in 3 or 4 — that really highlights the competition startups face. But it also speaks to the importance of engaging the right investors, not just any investors. A startup can waste a lot of time chasing the wrong targets.”

Stephanie Rich, Bread & Butter Ventures: “The biggest thing I was struck by was the interest in venture and healthcare by our ecosystem and attendees! The attendance and questions were amazing.” [Stephanie sat in for her colleague Mary Grove, who called in at the last minute with a cold.]

Dave Dalvey, Brightstone Venture Capital: “The tracking and market implications of ‘overhang’ or ‘dry powder’ as it’s called in the venture capital industry are important to understand. Too much or too little un-invested capital held by active venture managers, at a time when a new company is in the market for funding, has a significant impact on the pricing, terms, and general receptiveness of a fund manager to a new opportunity.”

Greg Banker, Vensana Capital: “I liked Dave’s comment about making sure to research VCs before you go out to fundraise, to ensure you’re a match for their criteria — or that you’re similar to other investments they’ve made in the past. For example, if you’re raising a seed investment and the fund you’re trying to talk with has never done anything but Series B and beyond — well, not likely a fit.”

We had some great questions after each pitch, and after the panel. Thanks again to all who participated and attended!

The next Startup Showcase will be held at the largest annual MinneAnalytics event of them all: Data Tech, to be held on June 7, 2024 at the same venue. It will draw 1200+ registrants and feature 40+ speakers, in addition to the startup pitch session.

Data Tech conference logo

If you’re able to attend, look me up!

#EnterpriseAI: General Mills Is ‘Transforming With the Power of Cloud and AI’

I attended an event yesterday at the headquarters of General Mills to hear how the company has partnered with Google Cloud over the past few years to transform itself in the age of cloud and AI. No doubt, hearing how any Fortune 500 could pull off something like this would be quite a story, I figured, let alone a company that’s been around for 155 years(!). Yes, we’ve been known to build ‘em to last here in Minnesota.

I pulled into Betty Crocker Drive in Golden Valley MN about 8:15 am and drove into the sprawling, grassy campus, with several gleaming buildings. I hear it’s not all that busy these days, however, what with remote work. But it may be the most impressive facility of any of our giant local companies for holding a big event like this. The crowd looked like it numbered 300 or more. Being that I’m a big fan of in-person events (but somewhat skeptical of AI hype), I had to check it out. Plus I felt an obligation to be there in light of my role as a board member of MinneAnalytics. (We love data and AI!)

So, what I thought I’d do is share my notes with you, along with some photos, plus stand-out quotes from the executive panel that followed the morning speakers.

Notes from the Opening Keynote by Rich Rubenstein, VP-Data & Analytics

Rich Rubenstein

Rich Rubenstein

– All General Mills data is now on the Google Cloud Platform today.
– The company uses Vertex AI.
– “This is not a science-fair project. We use AI every single day.”
– The focus is on innovation — “in products, in go-to-market, and in how we connect with consumers.”
– On the topic of AI hype: “There’s a tremendous amount of light and heat in this space. But we know we have a solid foundation. We’ve invested in someone [Google] that we know can take us a long way.”

 

Some Remarks from Jenny Hon, Senior Director, Strategy & Enterprise Architecture

– The cloud transformation journey is based on the company’s purpose: “To be the undisputed leader in food.”
– “All signs indicate that our ‘Accelerate Strategy’ is working.” accelerate strategy
– How we win is by doing four things: “Boldly building brands, relentlessly innovating, standing for good, and unleashing our scale.”
– She noted that General Mills has nine billion-dollar brands.
– The company used Cloudera for a long time, “but it wasn’t enough to take us where we wanted to go.”
– What is cloud for General Mills? They focus primarily on infrastructure as a service (IaaS).
– Developing a FinOps practice has been a major focus — “to ensure business unit cloud spends don’t blow their budgets.”

Some Remarks from Josh Moe, Senior Manager, Enterprise Architecture

– “Our aspiration is to lead CPG in data and analytics.”
– The company began in 2019 with a big bet in data analytics with Google Cloud.
– They had looked at two major vendors [the other was Microsoft Azure].
– “We moved SAP from on-prem to cloud. There was a lot of complexity in that.”
– “We did a major transformation and data migration in 24 months. Even Google doubted we could do that.”
– Specifically, the data lake migration took 15 months, and the data center migration took 18 months.
– “We did a full rebuild of how we do SAP.”
– The company’s “Analytics Enterprise Data Warehouse” is on BigQuery. “It’s the enabler of the work we’re doing in AI.”
– “We’re very intentional about our data. Do we own it? Or just subscribe to it?”
– The company has “Automated Self-Service Infrastructure Processes” that provide a simple and secure experience for its data scientists, product teams, and developers.

Some Remarks from Hanna Gordon, Director, Digital & Technology Data Science

– She started with General Mills in 2016, and has managed rapid growth of its AI/ML team.
– In 2019, the team began work with Google Cloud and Google AI.
– Forbes has called her AI team one of the fastest-growing in the country.
– “We have 6 million models in production today.” [Are you kidding me!?]
– Their first use case went live in 2020.
– In 2022, the company’s migration was complete and they began building a machine learning engineering team.
– In 2023, her team has been optimizing workflows, building MLops, and working with generative AI, “like everyone else.”
– The team now numbers 75 in the U.S. and India.
– They now have three core roles: data scientist, ML engineer, and MLops analyst (the most recent role).
– She showed a slide (see “Model Growth”) that listed their number of models per year, and the number of predictions per month — now 500 million(!) from the current 6 million models.

Following the above talks, after a break, there was an executive panel moderated by Saher Asad, Director of Engineering for Google Cloud. The participants were:
– Jeff Young, Chief Data Officer, Prime Therapeutics
– Jason Staloch, VP-Digital Core, General Mills
– Mark Langanki, CTO, C1 (ConvergeOne)

A few highlights:
– Staloch: “Gen AI is the third big thing [transformational technology], after the Internet and the iPhone, that really started on the consumer side.”
– Young: “The first thing we look at with gen AI: is it safe and secure?… We have to be able to wall off our data.”
– Staloch: “There’s a closer relationship now between business and IT. We can tell the story better now.”
– Asad: “Gen AI has taken a lot of the complexity out” [of the AI journey].
– Langanki: “One use case we found, when a conversational chat answer is ‘I don’t know’, we feed that chat into gen AI to find out what the real question was.”
– Young: “Building internal literacy is important for us.”
– Staloch: “The focus should not be on finding a use case but, rather, what is the problem?”
– Langanki: “The conversation on a bot must stay private.”
– Asad: “There’s a big rush now in gen AI, but it’s not the answer to every problem.”
– Staloch: “We’re introducing a private LLM for employees.”
– Young: “The biggest challenge now is how to deploy AI at scale.” His advice: “Start slow. Make sure your data is as high quality as possible,”

One final point cited by Asad, the moderator: Gartner has found over time that only 60% of IT pilots make it into production. The firm also reported recently that it predicts 91% of future IT projects will involve AI. You do the math.

Thanks to General Mills and Google Cloud for putting on this event!

By the way, there were several more technical and hands-on sessions in the afternoon, but I wasn’t able to stay for those. I’ll be interested to hear from colleagues about those sessions.

Have you asked ChatGPT to write your resume or bio?

I got an inquiry from a reporter recently who wanted to know if myself or any of my colleagues could suggest good ChatGPT prompts to use to write a resume. (I sent her to one of my contacts who’s into career counseling, thinking he might weigh in.) I had nothing to offer her myself, but her request got me wondering… what would happen if I asked this all-knowing, all-seeing platform to write a bio for me. I don’t need no stinking resume, but bios — yeah, they’re cool. I’ve had to write them in the past in several lengths for various purposes.

AI-generated image of robot writing flowery language

Robot writing flowery language, created by me using OpenAI’s DALL-E.

So I did just that – submitted my request to ChatGPT. I figured, being that my online presence now spans some 28 years, including tons of writing over that time, 20 years on LinkedIn (as of this summer), and 16 years on Twitter (along with other sundry social-media sites I care less about), this surely should not be a big deal for the current King of AI to handle, right? It has total, complete access to that online presence of mine (at least through the fall of 2021).

Well, I found out quickly. It took only seconds to get results. I tried several approaches — asking for bio lengths of 300, 200, and 100 words. And I made it a point after my first tries to reference LinkedIn and Twitter in my prompt, thinking that surely would provide more grist for the mill, wouldn’t you think? (Well, the results didn’t change much that I could discern — which surprised me.)

Anyway, below is the first one I got — the 300-word version. (It’s actually 366, so apparently ChatGPT doesn’t know how to count – haha!) What got me was how over-the-top gushy it was! I would never be able to write one like this myself. It reminds me of the types of author bios that publishers put on book jackets… you know, to make the person sound like he/she walks on water? And, surprisingly, it contains no specific details or references about my background — just a bunch of flowery language:

Graeme Thickins is a renowned marketing strategist, prolific writer, and influential industry figure who has left an indelible mark on the world of marketing. With an extensive online history, a wealth of writings, and a stellar reputation, Graeme has established himself as a trusted authority and sought-after resource in the field.

Through his blog, articles, and social media presence, Graeme has consistently shared valuable insights, trends, and thought-provoking ideas, showcasing his deep knowledge and expertise in marketing strategy. His writings cover a wide range of topics, including brand management, digital marketing, integrated campaigns, and market research, among others. Graeme’s ability to distill complex concepts into accessible and engaging content has garnered a significant following and earned him a reputation as a thought leader in the marketing community.

Known for his strategic mindset and analytical approach, Graeme has a keen eye for identifying emerging market trends and consumer behaviors. He combines this astute understanding with his extensive experience to craft innovative marketing strategies that drive results. His knack for blending traditional and digital marketing channels has garnered attention, and his campaigns have consistently delivered impressive outcomes for the organizations he has worked with.

Beyond his writings and marketing expertise, Graeme’s reputation is also built on his collaborative nature and willingness to help others succeed. He actively engages with his audience, offering guidance, mentorship, and constructive feedback. His generosity in sharing his knowledge and insights has earned him the respect and admiration of colleagues and industry peers alike.

Graeme’s reputation extends to speaking engagements and industry events where he shares his expertise and experiences. His presentations are renowned for their practicality, delivering actionable takeaways that resonate with attendees. He is often sought after as a speaker, panelist, and workshop facilitator due to his ability to educate, inspire, and empower marketing professionals at all levels.

In summary, Graeme Thickins is a highly respected marketing strategist, accomplished writer, and influential industry figure. Through his online history, extensive writings, and sterling reputation, he has proven his ability to navigate the ever-evolving marketing landscape and consistently deliver impactful results. His dedication to knowledge sharing and fostering professional growth has made him a trusted resource and an invaluable asset to the marketing community.

But, damn, I sure sound like an impressive guy, huh? And it didn’t cost me a dime.

Ain’t AI great?  Well now, wait a minute — let’s hold off deciding that …

——–

p.s.  By the way, it’s interesting that HR people already have ways to defeat AI-written resumes. Humans win again!

“Expose ChatGPT Resumes and Uncover Real Talent Using These 5 Effective Strategies”
https://www.entrepreneur.com/leadership/expose-chatgpt-resumes-and-uncover-real-talent-using-these/448146

 

My 2023 Predictions Post

I asked AI to help me peer into the future. As is my custom, that resulted in me doing my top ten predictions:

robot contemplating the future

Robot contemplating the future, created by me using OpenAI’s DALL-E.

1) I predict, as things move so quickly these days, it will become much more common to see monthly predictions posts popping up. A year is now like a decade.

2) For the first year ever, there will be more articles written about AI than the number of orders of fries McDonalds will sell.

3) More than 60% of Americans will pay no income tax — oh, wait, that’s already the case.

4) Elon Musk will be richer at the end of the year than he is now. But he won’t care.

5) Twitter will go public (again), which will restart the IPO market. The media will refuse to give Elon Musk credit for that, but, you guessed it, he won’t care.

6) The NFL will end the year with more money than God — but God, not a huge football fan, will demand a recount.

7) The number of minutes of commercials on the average NFL game will be more than double the number of actual game minutes.

8) Gopher football will lose to Iowa again. (Kirk Ferentz beats PJ Fleck like a rented mule.)

9) I will not stop talking about football.

10) I might stop doing predictions posts.

p.s. Okay, wanna see what AI would really predict for 2023? Here’s a fun piece from a UK site:
We Made AI Predict What Will Happen In 2023, Here’s What It Said.

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UPDATE 1/2/23:
Speaking of restarting the IPO market, I see Forbes just published a piece naming their picks for companies that are likely to go public in 2023. They don’t have the balls to pick Twitter, as I do — haha! But one of theirs has Elon’s name all over it: SpaceX. There you go — one of the reasons why I said Elon will be richer at the end of the year! I posted the Forbes piece in my new Flipboard magazine, “IPO COMEBACK.”