Joined November 2013
- Tweets 428
- Following 930
- Followers 686
- Likes 4,818
43 Photos and videos
Saurabh retweeted
This explanation of fear by Acharya Prashant
youtu.be/Scs91jwgk9c?si=47sS…
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Saurabh retweeted
Jun 13
.@paulg's quote is a good prompt for your agent to make anyone's writing more concise
"strive to make my writing unsummarizable, in the sense that it has so little fluff left in it that if you take any words out, as summaries by definition do, you lose a lot of interesting ideas"
i've been testing voice dictation, which then runs through this prompt, for messages to colleagues
Jun 12
The most frequent feedback I get (especially at @coinbase) is that I could be more concise, or "Can you make this into a bullet point?"
My usual defense was that I'm not trying to transfer information. I'm trying to infect people with a way of thinking or an idea. The bullet gives you the conclusion without the path, and the path is what changes how you see the next ten problems.
And while I agree with my defense, it can also be an excuse. I kept trying to be more concise, but I didn't have a good forcing function for it, because "the idea needs room" justifies any length.
This tweet from @paulg last week really stuck with me. I think about it every time I write now. (my agents too)
P.S. This could probably be summarized better.
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Jun 5
Turned Greg’s viral sleeping VC thread into a 21-slide comedy carousel 😂
The quote tweets were absolute gold.
Made in ~1 hour with Grok Gemini (faster than just reading them all).
Swipe through the chaos watch the narrated video version 👇
Thanks for the spark @gregisenberg!
Jun 5
@gregisenberg
Quote tweets are pure gold 😂
Here’s the best of them — 21 funniest VC horror stories turned into a carousel.
Made in ~1 hour with Grok Gemini.
Thanks for the goldmine Greg!
Part 1/6: Swipe → (barefoot peanuts, toilet paper VC, etc.)
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Jun 2
‘Claude, make my product LLM-optimized’ prompt was gloriously worthless
AI search doesn’t reward optimization. It rewards the things people already know and trust.
just build something worth mentioning!
Jun 2
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:
1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.
2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.
3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.
4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.
5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode ( 2.4%) and ChatGPT ( 2.2%) showed changes indistinguishable from zero.
6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.
7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.
8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.
9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).
10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
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Saurabh retweeted
Jun 1
Congratulations, @conduition_io. Great pick, Mike!
your profile shows the pattern clearly:
Consistent, high-signal work through mailing list posts and Delving discussions on post-quantum cryptography.
Does this reflect your work accurately? I’d appreciate any thoughts on how to make it better.
sorukumar.github.io/orange-d…
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May 29
Or just have a dog!
Our furry babies had it right all along. Roll in the dirt, stay close to the ground.
May 27
Finnish scientists trucked in real forest dirt and grass and laid it over the gravel at four daycare yards. They let the kids dig around in it for a month. The blood tests came back with changes the researchers hadn’t expected to see so fast or so clear.
The study ran at ten daycares in two Finnish cities with 75 kids aged three to five. Four of the yards got the forest treatment: about a tennis court worth of soil and grass laid over the gravel, plus planters and peat blocks the kids could dig and climb on. Three others stuck with their normal gravel yards. The last three were daycares where the kids were already visiting real forests every day.
After one month, the variety of bacteria living on the kids’ skin shot up, and the kind that helps train the skin’s immune defenses jumped the most. Their gut bacteria started to look like the gut bacteria of the forest-visiting kids. Their blood showed more of the immune cells whose job is to keep the body from freaking out at harmless stuff like pollen and peanuts, and overall inflammation dropped. The kids on the plain gravel yards showed none of this.
Childhood asthma in the US doubled between 1980 and 1995. Food allergies in kids jumped 50 percent between 1997 and 2011, then jumped another 50 percent between 2007 and 2021. And peanut allergies in one-year-olds tripled between 2001 and 2017.
The Finnish researchers think one of the reasons is simple: kids today don’t get dirty enough. 37 percent of American preschoolers now spend an hour or less outside on a normal weekday. Their immune systems are getting trained in environments stripped of the bacteria humans have always lived around.
Aki Sinkkonen, who led the study, put it in plain words: “It would be best if children could play in puddles and everyone could dig organic soil.” The Finnish government is now helping pay for daycares across the country to make the same changes.
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Saurabh retweeted
Big thanks to @SoruKumar for an electric session at Bitcoin Builders Club #8⚡️
@Bitcoindatalabs is one of those projects that makes the whole ecosystem easier to understand.
More visibility into Bitcoin⚡️Lightning means more people can build with confidence.
Big love to everyone who showed up with curiosity & builder energy.
Learn more about Bitcoin Data Labs: bitcoindatalabs.org
💻📱Recap video dropping on Monday: youtu.be/jJI9aRjIOrg
📅⚡️Next one in June:
luma.com/uqciwy43
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May 19
Explainable AI isn’t optional anymore — it’s becoming infrastructure.
Back in banking risk modeling, we chose regression over neural nets for the same reason: we needed to know who contributed what before signing off.
Today, when agents combine multiple models, tools, and content at inference time, fair attribution matters.
Who added the real value?
LIME and Integrated Gradients give useful local views. Yet @p0’s Index uses the gold standard: Shapley values.
They measure each player’s marginal contribution across every possible coalition — fair by design from cooperative game theory, now powering economics in the agent world.
Less guesswork, more precision.
Accessible intro: towardsdatascience.com/shapl…
May 19
Compensation in Index is calculated by estimating each source's Shapley value: its marginal contribution to an agent's answer at the moment of inference.
Content that's uniquely valuable, hard to replace, or used in high-value agent work earns more.
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Saurabh retweeted
May 18
In an early meeting at Facebook (c. 2007), when I was describing the goals of Facebook Platform (an area I oversaw) Bill Gates yelled at me/us.
His quote has stuck with me to this day:
“This isn’t a platform. A platform is where the collective sum of revenues of the participants exceeds those of the platform itself.”
Ladies and gentlemen, I present to you the tokenmaxxing circle jerk.
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May 18
Car is spot on. Making Bitcoin data truly legible changes everything.
That spirit is why I founded Bitcoin Data Labs.
x.com/orangemetrics/status/1…
Data everywhere. Yet almost impossible to drink. Water, water everywhere… not a drop to drink.
May 13
What @sorukumar is building with Bitcoin Data Labs really is highly consequential for anyone trying to understand where Bitcoin and Lightning are heading.
If you care about Bitcoin, Lightning, data, and where ecosystem intelligence is moving, I highly recommend coming through on Monday.
You’ll get exposed to a project that makes the network easier to see, understand, and build around.
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May 18
We’re already shipping real value together:
• Dashboards — Mining Dashboard, Orange-dev-tracker, Orange-dev-network, PlebDashboard, Ln-graph-viz •
Tools — Lightning Network Simulator, Witness Data Decoder, Lightning Channel ID Decoder
All open-source, all built in the open.
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May 18
More eyes on clean, usable data means
higher-quality insights,
real transparency,
genuine accountability,
stronger and robust growth across the entire ecosystem.
If you’re an analyst, PM, builder, or just data-curious about Bitcoin, come join us and help build it:
bitcoindatalabs.org/
What Bitcoin or Lightning data question have you always wished was easier to explore? Drop it below 👇
@Bitcoindatalabs @BTCBuildersClub @PlebLab @ThrillerX_ @JuanSGalt
#Bitcoin #Lightning #OpenSource
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Saurabh retweeted
⚡️Austin, we’re back!!!
Bitcoin Builders Club: Bitcoin Data Labs demo builder Q&A with @SoruKumar, hosted by @ThrillerX_ of @PlebLab
🕖 Monday May 18th · doors open · 6:15 PM
🍽️ 💻 Food drinks Hack’n Tell · 6:30 PM
Soru will walk through open-source Bitcoin Lightning data infrastructure, dashboards, and tools for builders working across the Bitcoin economy.
🏄 First BBC to kick off the summer of building on Bitcoin.
All signal. All summer. Don’t miss!
#BitcoinBuilders
RSVP Only → luma.com/2a76ge6y
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Amazon just got caught running a secret price manipulation operation with Levi's, Home Depot, Walmart, and many more.
Every time you "comparison shopped" online, you were looking at prices that were already rigged.
Here's what happened:
Amazon would monitor prices on Walmart, Target, Best Buy, Home Depot, and Chewy in real time. The second a competitor listed a product cheaper than Amazon, they'd contact the brand directly and tell them to "fix it."
And the exact emails are now PUBLIC.
Amazon sent Levi's links to two Walmart listings with the subject line "styles of concern." They basically said the prices on Walmart are too low and we have a problem.
The next day, Levi's responded: "I talked to Walmart and they have partnered with us to take Easy Khaki Classic fit back up to ladder SPP price, $29.99 immediately."
Levi's literally called Walmart and told them to raise the price. Because Amazon told Levi's to make the call.
Walmart complied. Then Amazon matched the HIGHER price.
Both retailers ended up charging more. The customer paid extra. Nobody competed.
Same playbook with Hanes:
Amazon sent them links showing Target and Walmart prices were lower. Hanes confirmed they "reached out to Target and Walmart to have the prices increased."
Target increased the prices. Walmart increased the prices. Amazon kept their margins.
But it gets even worse...
Amazon told Allergan (the company that makes eye drops) that their product was "suppressed" on Amazon because it was cheaper on another site.
Allergan responded: "Walmart got their price back up to $16.99." Amazon then unsuppressed the listing.
They did this with pet treats on Chewy. Furniture on Home Depot. Products across dozens of categories spanning YEARS.
The mechanism is simple but terrifying:
If you're a brand and you sell cheaper on Walmart than on Amazon, Amazon suppresses your product, removes you from the Buy Box, buries you in search results, and effectively makes you invisible to 300 million customers.
Brands can't afford that. So they call Walmart and Target and say "raise your prices or we'll lose our Amazon listings."
Walmart and Target comply because they need the brand's products.
Amazon captures 40 cents of every dollar spent online in America. That gives them the leverage to set prices across THE ENTIRE internet. Not just their own platform.
So turns out, you were never comparison shopping.
You were looking at a coordinated price floor set by Amazon through backroom phone calls between brands and their competitors.
"Amazon is working to make your life more unaffordable."
3 separate antitrust trials are now scheduled for 2027. The FTC has its own case. 18 states plus the DOJ are piling on.
This is literally happening during the WORST affordability crisis in a generation. Groceries up 25% since 2020. Housing unaffordable. Wages flat.
And the largest ecommerce company on Earth has been secretly coordinating with brands to make sure you can't find a cheaper price ANYWHERE.
"Competition" in retail is just a fantasy.
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Apr 15
My analysis on Foundry USA's recent 7-block streak (4th time in 2026 so far).
Key findings:
• 35 streaks of 7 blocks observed since 2022 — about 1.25× what pure Poisson randomness would predict.
• Largely explained by their high hashrate share (~31-35%). At 35% hashrate, you'd expect a 7-block streak roughly every ~11 days on average.
• No strong evidence of selfish mining; second-block uplift and header-first signals are near baseline.
x.com/sorukumar/status/20420…
Apr 8
Foundry USA just mined 7 blocks in a row again on April 3rd.
In 2026 alone, they’ve done this Four times.
They even pulled off a 10-block streak back in 2023.
Is this pure luck… or a structural advantage in Bitcoin mining?
Let’s dig into the on-chain data. 👇
@basedlayer , @0xB10C , @PlebLab
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