Matt Lasky (situationally aware)

walking after each meal is a criminally underrated looks enhancer. the study below shows that walking right after a meal drops peak glucose from 5.77 to 2.28 mmol/L AND increases muscle glucose uptake by 38.5% compared to sitting. what blunting blood sugar spikes does for your facial aesthetics & general health: facial bloating > sitting after eating spikes insulin, which forces the kidneys to retain sodium + water (water retention). walking pulls glucose straight into your muscles rather than the face keep it SHARP & dry. collagen/anti-aging > high blood sugar causes glycation, where glucose binds to & degrades collagen. this accelerates sagging/premature aging. walking BLUNTS that process. paradoxically, cross country running actually does the opposite overtime. > partitions nutrients the 38.5% jump in muscle clearance means calories are forced into muscle glycogen instead of being stored as fat in the face, neck & midsection. the protocol is literally this: 10–15 minutes of zone 1 or 2 walking starting within 10 minutes of finishing your last bite. bookmark this. also, full (free) debloating tutorial below.

We see hundreds of independent sponsor deals a year... and most don’t make it past this page Our scorecard:

How I got Claude to listen to 500 podcasts for my company, and how you can build your own A problem you are working on today has already been solved The person who solved it is explaining how they did it 34 minutes into a podcast you don't have time to listen to I run a Texas apartment company. Every morning, Claude reads any newly published episode from about 500 shows we track. In one week in October, that was about 365 episodes, start to finish. The first read flagged 197 short passages for deeper analysis. The second read cut that to 12 worth acting on. Any small business owner or investor can build their customized version of this. What comes back for me The marketing VP at a large apartment operator was on an industry show talking about her ad vendor. The vendor was celebrating a 50-70% jump in phone leads. Her team checked the calls against their CRM. About 54 of every 100 were spam, vendors, and bankers. Claude knew we were building a cost-per-lease report by channel, counting calls, with nothing to screen out junk. A channel that looks cheap (per inquiry) might just be a channel full of spam. So about 90 seconds of her conversation came to us written up: who said it, why she's credible, where it sits in the episode, why it applies to our report, who owns it and what to check. Nobody had to listen to anything. Same week, our own notes said a tax credit we've used was still live. A podcast guest's comment about a different tax break is how we caught it. A cost segregation CEO said the 179D energy deduction is closed to buildings that start construction after June 30, 2026. He sells that work, so we believed him, then checked the IRS guidance anyway. 45L, the credit we've actually used, has the same cutoff. And two operators were telling owners on investor podcasts to judge a property manager by one document: the before-and-after T12 from a recent takeover. We manage apartments for other owners. We can now prep for that question or even highlight our performance proactively based on that metric. Some of these confirm what we're seeing. Some teach us something new. Some warn us long before we'd have found it ourselves. The first time I shared the "Podcast Brief" with our executives, one of them forwarded an item to our trade association's general counsel because it was so relevant. How to build one 1. Write down what you care about, and go wider than feels right. Mine is apartment management, construction, fundraising, opportunity zones, wealth management, local politics, zoning, liquidity events and interesting people. 2. Build the show list. Podscan tracks about 600,000 active podcasts and carries the transcripts. I started with the 117 shows I already followed. Claude found similar shows and searched transcripts across every line of our business, and got to about 7,000 candidates. It pulled recent episodes and guests on about 1,100 of them and rejected two-thirds. With the shows I started with, we ended up with about 500. Judge on the guests and the content, not the audience size. 3. Write the context document. This is the whole trick. Ours says who we are, what we believe, what we're working on, what we've already done and who owns what. It's fed by my daily work in Claude and weekly updates from our executives, so it moves when we move. If we're chasing a niche problem this month, the agents hunt for it across all 500 shows. 4. Read everything. Every new episode, every morning, in full. No keyword filters. The best material is a passing remark in the middle of an episode about something else. Sonnet does the first read. Opus goes deep on what gets flagged. 5. Check the work. The second read goes back to the full transcript, tests each claim against our own notes and traces anything big to a primary source. It keeps what the speaker said separate from what we concluded. 6. Correct it. When our team tells it something it got wrong about how we operate, that goes into the context document right away. What went wrong My review of the first run: "Surfaced some really good stuff but didn't go deep enough to be useful." We rebuilt it to pull the actual passages, with timestamps, names and numbers. It got facts wrong that were sitting in our own notes. It pinned a Houston default on the wrong sponsor. Machine transcripts make their own mistakes too. One had the buyer and seller reversed. In one big run, the second read caught 79 errors from the first. The agents also tried to rank shows after two episodes and called some of them noise. I stopped that. A national construction show usually has nothing for us. Then an episode three weeks later has a two minute blurb that is solid gold. Your context document holds your deals, your people and your plans. Bottom line This works for any industry. If you own a plumbing company or a dental group, or you're just managing your own money, somebody is talking about your problem on a podcast right now. Everyone's looking for something new and actually useful to do with AI. This has been one of mine. The agents are only as good as what they know about you. So start with one page about your business. The podcasts are just the input. This is an AI post from a guy who builds apartments.

Anthropic will make ~1,000 employees worth +$100m at $2 trillion market cap. There's ~11,000 Americans with $100m in investable assets. So something like 1 in 12 Americans with $100m (liquid) will be from Anthropic. If you add in Openai, maybe 1 in 7.

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Higher rates = less housing supply = higher rents = more inflationary pressure.

Its funny to see @mrkorangy talk about a guy in Miami who turned $70M into a billion over 17 years as impressive. A $70M head start is wild and honestly not an impressive IRR for a GP (~17%). I started Snowball with 200k and a supportive wife. I am a failure at 17%, but rich.

Commercial real estate runs in cycles but looks at those cap rates and yields

Guy sells building leased to United Healthcare and an 8K vacancy for $9M Landlord knows tenant is leaving but doesn’t disclose Buyer acquires property and moves in to vacancy. 1 month later United says they want to leave New owner negotiated $4M buyout so basis is $5M Sells for $12M within a year netting $7M

Few realize how profoundly IRR is impacted even by an minimal cash out, if its early enoug

Soon executives will want to put their key employees on theraputic hormones, brain peptides, nootropics, and circadian lighting so they perform at peak It’s already starting

I’m not sure we actually have a housing crisis as it’s commonly defined. (Overall lack of homes) I think we have an affordable housing crisis in areas people actually want to live.