Investing in founders building tomorrow's economy @PropelVC ⚡️ 🌎 🤑 🦡 david@propel.vc

Joined May 2009
43 Photos and videos
Is someone working on keeping @airtable connected to @ChatGPTapp, or do we need to build agents to reauthenticate daily?
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Landman for data centers - waiting for Taylor Sheridan
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California⛽️
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David Mort retweeted
When they ask what my macro framework is:
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David Mort retweeted
I’m fully forward deployed engineering pilled specifically because AI simply is not the same as software. In software, you deliver a stable piece of technology to a customer and they adopt it and that’s that (extreme over simplification). In AI, you’re delivering something that is constantly evolving both due to the nature of the new capabilities and best practices that emerge, but also because the underlying models change so much that they can meaningfully change the workflow as a result of their upgrades. For this reason it’s far more logical that one vendor can share best practices across thousands of companies more efficiently than every single company can learn and manage these best practices themselves. Further, the learnings from those customers should go right back into the core product as a result. As we go from chat systems to anyone can relatively easily adopt to agentic systems that require more meaningful efforts to manage and update, the FDE model (or equivalent) essentially becomes a core competency for anyone deploying AI at scale.
The real power of forward deployed engineering has always been putting strong technical people directly alongside the operators who own the outcome. That proximity forces the work to solve the actual problem instead of some sanitized version of it. In the AI era this principle has become even more valuable. Agents can now sit inside real workflows and improve from actual decisions, which means the highest-leverage work is extracting the tacit knowledge that lives with subject matter experts, building evaluations that reflect how things actually break, and closing the production feedback loop so agents get better from real outcomes.
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Prediction markets aren't capturing enough long tail risk because people have incentive to make them happen
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David Mort retweeted
Mythos appears to be the first class of models trained at scale on Blackwells. Then will be Vera Rubins. Pre-training isn't saturated. RL works. And there is *so much* computing coming online soon. Buckle your chin strips. It's going to be fucking wild.
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Bitcoin’s quantum problem will have to wait
So, basically, if Anthropic was not a US company, we’d be facing zero days with multiple unknown points of attack on virtually all of our systems to an adversary who developed this capacity before us.
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David Mort retweeted
If you invested $10,000 in Filecoin $FIL in 5 years ago today, you would have $47 today. That would be enough to buy a 10TB hard drive and store your own data like a normal human being.
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openai shipped finance "skills" inside chatgpt - earnings previews, dcf analysis, comp tables, investment memo drafting. all reusable, all out of the box. their investment banking benchmark went from 43.7% accuracy (gpt-5) to 87.3% (gpt-5.4 thinking). that's not a chatbot. that's a junior analyst. sources: openai.com/index/chatgpt-for… winbuzzer.com/2026/03/06/ope…
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the real story isn't the model. it's the distribution. chatgpt now has live data feeds from factset, dow jones factiva, s&p global, moody's, and msci baked in. better.com built a credit decision engine on top of it. experian launched a credit score app inside it. when the platform has the data AND the workflow - what's left for the point solutions? likely enough for SMBs, but the enterprise environment likely needs some more middleware.
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Interesting week in fintech. A few that stood out: @PayPayOfficial IPO at ~$10.7B — SoftBank's Japanese mobile payments bet finally going public. @silverflow $40M Series B for cloud-native payments infrastructure. PactFi $25M Series A - Private credit infra play. Everyone's building plumbing for alternatives right now. Quieter ones that stood out: Denki $4.1M - AI audit automation out of YC, led by Base10 Finperks $4M pre-seed - "Stripe for prepaid" from Berlin. Motive Partners backing it early. Utexo $7.5M seed - Bitcoin-native execution and settlement layer for stablecoin payments, led by Tether. Is private credit infra the new payments infra?
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Personal finance is an extremely obvious and accessible use case today, but will be made better by real time connectivity to accounts. Access to intelligent financial advice will be one click away (and close to if not free)!
OpenAI is working on a new "Finance" project in ChatGPT ("Connect accounts and sync recent transactions to see personalized finance widgets here") Example starting prompts include "Recommend the best credit cards based on my transactions last year", "Am I getting all the value from my credit cards?", "Do a 3 month analysis of my spending", "Create a plan to pay off my student loans" and "Can you review my transactions for fraud or suspicious activity?" The ChatGPT pricing page is also being updated for the new ChatGPT Pro Lite plan, with "5x more usage than Plus" compared to "20x more usage than Plus" with ChatGPT Pro
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Is SaaS the new oil?
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Let’s go Real Food!
BREAKING: The Trump Administration announces the 2025-2030 Dietary Guidelines for Americans, putting REAL FOOD back at the center of health. 🇺🇸 REALFOOD.GOV
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David Mort retweeted
I answer about a dozen or so emails every week from students and early stage founders. One of the most common red flags I see are people who want to be a founder for the sake of it and are chasing ideas or guessing. It's so common I have a canned response. Here it is: (Starting the canned response here) I’m sorry to say it sounds like you’re searching for an idea. Or, you have a solution in need of a problem. Or, you just like the idea of being a founder (for whatever reason). This isn’t what you want to hear, but go get a job and work for awhile. If you have a solution that needs market validation, then work in the industry that you think that market exists. Immerse yourself in some industry, it really doesn’t matter what one, because they’re all so filled with problems that need to be solved that you can choose anything. It only takes one or two years. Then your problem isn’t going to be wondering “is this a good idea?” “What is a good idea?” Etc. The problem is going to be: which of these 10 obviously good ideas won’t be solved unless I do it, and which do I want to spend the next 10 years of my life working on? That’s the real hard question. Remember, the key questions a VC is going to ask you and you should ask yourself is: “Why this? Why now? Why you?” You should have full confidence in all of them. The easy part is confidence in all of them. Then the hard part is executing fast enough and hoping the market moves with you with external factors that are mostly out of your control. :) Don’t search for an idea. Let one come to you. Go get a job. I’m sorry to tell you that, but it’s the advice I think you need to hear. Like I said, it won’t take long, one or two years or so. But that one or two years of working is going to save you more years of your life most likely wasting your time on the easy part (finding the idea). Plus, you’ll get paid for it.
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18 Dec 2025
The @coinbase One Card launched 3 months ago - customers have earned over $60M in BTC during that time. @ 4% reward rate, implies $1.5B in spend (min $6B run rate). [more @ 52:30]
A new era of Coinbase starts now. — Exciting product announcements — Key business updates — Lots of other cool stuff x.com/i/broadcasts/1BRJjgWpw…
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18 Dec 2025
And on top of that, @coinbase launched Equities, Prediction Markets, DEX Trading, Token Sales, and Simple Derivatives. New financial services with Direct Deposit, Instant Unstaking, Borrow, P2P Payments. And a bunch of tools for businesses. Lastly, a tokenization platform.
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18 Dec 2025
if you're building in financial technology or consumer crypto, or investing in the space, this is a must watch.
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