Jason Varner (@smarthelping) header
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Data and AI - Business Opportunities: jason@datahasvalue.ai

Joined February 2013
Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)
Hey if you want a financial model built AND explained I'm pretty much doing anything for $900. Also, if you want help on the buy side or sell side I can help.
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Why your advisory firm's data could be valuable and is it worth licensing it for AI training? 👇
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If you are a manufacturing company and what to look at cash flow and unit economics, and get someone to build the model with you, I'm all ears.
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First working meeting with a paying client in AWHILE. Didn't think this still existed. Great feeling doing actual work again. Hey maybe we sling shot back a little and people decide they want to build their financial models with a real person again :)
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Some data licensing updates today: 1. VerticalScope signed deals with two AI labs for content from certain enthusiast forums. They are defining payments in two ways: how much text a lab accepts (option for paid updates too), and another based on how much the lab determines the forum content contributed to it AI-generated answers. 2. micro1 (my partner) says that most of the businesses they work with have 30-150 employees. They have about 200 businesses sign up per day to learn about licensing. Smaller firms have trouble qualifying as they have lower data volumes and less complex records. 3. Spirit's unions withdrew their objections to Google's $10M data purchase. They must exclude employee medical records and disciplinary records. Also, an independent reviewer chosen in consultation with the unions will check the de-identification. Bankruptcy court approval is still pending. 4. FactSet and Carbon Arc announced a new route from business data to financial buyers. Their Nov. 10th partnership brings more than 500 data assets from over 60 providers into FactSet's investment research tools.
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Research more data deals and their details here: datahasvalue.ai/p/data-licen… (updates daily at 9am EST)
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I built a data licensing deal tracker that will update daily. Lots of filters and fun slicers to check out: datahasvalue.ai/p/data-licen…
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Some interesting data deals this morning people: The APA (American Psychological Association) and Cashmere announced this morning that authorized AI applications will be able to consult the APA's peer-reviewed research when answering questions. The agreement covers that use, called 'inference'. Interestingly, model training it outside of this scope. Also, GoodRx is brining prescription prices into Google's healthcare AI. Basically, GoodRx pricing and savings info will be inside Gemini for healthcare. Financial firms are paying for faster access to public posts. Trump Media's Nov. 9th earnings put its Truth Social data feed back in the news. Reuters previously said subscribers pay $60 to $100k/mo. for faster access. Finally, an interesting thing with Handshake AI demo. An agent read a simulated investment bank's emails and built a workbook. It could explain the tax treatment of goodwill when asked directly, yet mishandled goodwill in the actual model. Still has room for improvement!
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If you are negotiating a data license deal, some of the basics include when and how is data delivered / accepted, when is cash paid, and are there renewal or ongoing fees. Also, what happens to the data when the agreement ends.
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View more about the main negotiating points here: datahasvalue.ai/2026/10/ai-d…
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Hardest thing to do as an investor is doing nothing for a long time and then being able to capture somewhat of a top. Rotate, repeat . Very hard to do with high chances if success over many iterations.
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Standford university is putting terms into its data set buying program (D-ShaRe) so that ai training is included in all this. NVDA is investing in a company called RLWRLD that teaches robots how to build things (thread a nut and bolt for now). These robots are also being trained on the assembly line. Finally, the SEC is working with robot builders in the financial professions to better improve the quality of their data. For example, some fields may read a number as and not directly reference it is in millions, which could cause big issues if the robot is trying to make a decision and is off by a million in its analysis.
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If you want to earn a lump sum cash payment by licensing your company's data, learn and start here: datahasvalue.ai/p/home.html
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It's never too late to get your data quality up. Good documentation, labeling, and so forth are extremely valuable.
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If you save the same amount every month, eventually your savings will be far greater than your bills. That mindset helped me when I first got out in my own as a freelancer.
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