@PaulYacoubian The simple truth. Riches is not the default outcome working from 8-midnight every night - though perhaps burnout and family neglect if looking for a way to achieve those.
English
Chris Buonocore
509 posts
Chris Buonocore
@chrisbcore
Engineering lead with expertise in B2B, martech, and fintech. Long time hackathoner. Find my projects: https://t.co/KPDLZmad11, https://t.co/65LOIXFmvY.
Boston, MA انضم Mayıs 2013
449 يتبع232 المتابعون
i know dozens of dudes who locked in for last 5-7yrs who have given up friendships to build shit that no one gives a fuck about 😭
Startup Archive@StartupArchive_
Brian Armstrong explains how he built Coinbase on nights and weekends while working at Airbnb Brian first advises those who are currently employed to not build your project on company hours or on your company laptop: “If you build it on company time or on the company hardware, the company probably owns the IP.” Then he describes his schedule for working on Coinbase while still working full-time at Airbnb. “I would often work [at Airbnb] until 7pm. I’d come home, eat dinner, and then I would work from 8pm to midnight. I would do that maybe 3-4 days a week on weekdays. And then on the weekend I’d work Sunday afternoon for 7-8 hours.” Brian did this consistently for about a year and a half until Coinbase was far enough along for him to get seed funding from Y Combinator. “It sucked. I mean I was tired after the full day of work [at Airbnb]. But this is where determination comes in… At that moment in time, I was in my late 20s, and I was like, ‘I really want to try to build something important in the world.’” When asked how he maintained friendships during this time, Brian replies: “I was pretty intense about it. I would say I sacrificed friendships for it. It’s not like I was just never responding to people, but I’ve seen this happen to various people. They get to a certain point in their life. Sometimes they turn a certain age where they thought they would have more done by then or maybe someone in their family passes away and they’re like, Oh my god, time is finite. It’s precious. And something happens where they’re like, ‘I’m going to get this done, no matter the cost.’” Brian tells those out there who might be in a similar situation: “Go hard at it. Finish your book. Launch your thing. Just start doing stuff - and even if you don’t know what to do, just do anything, because action will produce information and it’ll help you get to the right thing.” Video source: @StevenBartlett (2022)
English
Keep your primary database (e.g., PostgreSQL for transactions/structured data or MySql/Vitess) as the source of truth + ACID transaction support, then sync data to Elasticsearch via Logstash, custom pipelines, or change data capture for search/analytics.
This is what HubSpot does for petabyte-level scale event and analytics data.
Ritesh Roushan@devXritesh
If ElasticSearch is so fast, scalable, and great at search… Why don’t we just use it as our primary database? What are we missing here?
English
@Simon_Ingari Based on the amount of formality and implied micromanagement needed alongside this email, you'll be out even if you hit most of these.
English
@ZachAbramowitz Same reason why a 5% better or more tailored domain focused model can lead to hundreds of millions in implied or saved $ value
English
Why do law firms choose Harvey and Legora over Claude? Right answers only.
English
For most people talking about openclaw is the most fun use of openclaw
Shubham Saboo@Saboo_Shubham_
“OpenClaw is the iPhone of tokens” — Nvidia CEO on Lex Podcast
English
With regards to the $RDDT (Reddit) selloff today... maybe I'm wrong but it feels like the market is overreacting to the company's announcement they will do some light/selective verification if accounts are acting like bots.
This is not a site-wide mandate and I'm guessing many/most accounts will never have to do any verification.
Lots of people have complained that Reddit has too many bots so now they’re trying to fix that problem.
I suspect this decision also makes them a better destination for advertising dollars and make their data/content more valuable to the LLMs when it’s time to renegotiate their data licensing deals.
Jonah Lupton@JonahLupton
Just reviewed some $RDDT Q1 alt data and it looks strong... suggests that $RDDT Q1 revs could be above +62% YoY vs +54.7% estimates fwiw, if $RDDT did report +62% Q1 revenue growth or better it would be an acceleration from 2025 Q1 when they reported +61.5% YoY revenue growth Q1 DAU growth also tracking above consensus estimates
English
I'm a big fan of the idea that once you hit a billion dollars, you get a plaque in a park saying that you won at capitalism and everything you make over a billion is taxed at 100%
Kalshi@Kalshi
BREAKING: Elon Musk’s odds of becoming a trillionaire this year hits 82% — a record high.
English
@adarsh_exe @cognition Cool video, would benefit from an external audit or authority review for general public acceptance imo (i.e. collection of non-authors adopting this shown at the end of the video) vs. just a toss out of a leaderboard with some percentages.
English
Traditional coding benchmarks do not reflect how software is actually built and maintained.
That's why we built a new benchmark, APEX-SWE, in partnership with @cognition. It measures whether AI models can perform complex, real-world software engineering work to ship systems that work and debug them when they don't.
@OpenAI GPT 5.3 Codex (High) tops the leaderboard at 41.5% on Pass@1.
English
@MurrayHillGuy1 Fair attempt! idk about all the rankings, but don't think I've never seen a post like this that doesn't induce ragebait.
English
US City Tier List:
S tier: NYC, Miami, Austin
A tier: Chicago, LA, San Diego, Charleston
B tier: Nashville, Boston, Atlanta, Tampa, DC, Scottsdale
C tier: Dallas, Charlotte, Houston, Philly, SF
D tier: Denver, Seattle, Minneapolis, Portland, Kansas City, St. Louis, Columbus, Indianapolis
F tier: suburbs
English
@cjpedregal @meetgranola Wasn't sure until I saw some of these meeting summaries. Some of the best / most concise around.
English
Today we're announcing our Series C alongside some big updates that make @meetgranola better for your team and your tools.
Excited to partner with Danny at Index and Mamoon at KP. Big things to come. Back to work!
English
Definitely better than dangerously skipping permissions yolo mode.
Claude@claudeai
New in Claude Code: auto mode. Instead of approving every file write and bash command, or skipping permissions entirely, auto mode lets Claude make permission decisions on your behalf. Safeguards check each action before it runs.
English
Seeing legit QA processes and review having a resurgence of importance with AI code gen speed.
Garry Tan@garrytan
The awkward truth is that what counts as a good engineer just became a different thing in the last 4 months
English
@camolNFT Lesson: skip attempts to innovate, buy printed cardboard art instead.
English
@HVACSEO Possible to determine this without calling? Essentially quotes are way over the place,but getting a quote via call is already deep as only want to do 2-3 times max for a nontrivial job.
English
Private equity has quietly acquired nearly 800 HVAC, plumbing, and electrical companies since 2022. They're spending 10x what you spend on marketing. And they're keeping your competitor's name on the truck after they buy them.
Here's what they don't want you to know:
English
@theo Perhaps one 9 of uptime could also be 9%, would be quite a feat to not hit that.
English
Guys we are so close to losing the last 9
ThePrimeagen@ThePrimeagen
GitHub just living the dream right now
English
Chris Buonocore أُعيد تغريده
Mind blown: A Chinese quant college student builds an AI swarm engine in 10 days flat, explodes GitHub with 13,000+ stars, and scores $4,000,000 in funding!
Introducing MiroFish is the multi-agent simulator that's revolutionizing predictions for trading, PR, and more.
What is MiroFish?
It's a digital sandbox where thousands of AI agents with individual memories and behaviors interact like a real society.
Feed it any scenario (news leak, policy change, or even a classic novel's missing ending), and it simulates crowd reactions, debates, and outcomes to forecast real-world events.
The Creator's Story:
> In late 2025, fourth-year student Guo Hanjiang coded the core using AI assistants.
> It went viral overnight, landing him 30m Yuan (~$4m) from Shanda Group.
> He ditched the dorm, started a company, and now leads the charge.
Key Applications:
.Trading: Input financial news or reports, watch simulated market panics and price swings for predictive insights.
.PR Testing: Companies/Politics run draft statements to spot backlash and refine messaging.
.Creative Experiments: Loaded a lost-ending Chinese novel, agents role-played characters and generated a logical finale.
.Easy setup: Deploy via Docker in minutes with any LLM API key.
Pro tip: Simulate something wild like Elon Musk tweeting about Dogecoin 2.0 and spawn agent traders, influencers, and investors, generate real-time video clips of the frenzy to test moonshots or crashes risk-free.
Traders are already winning big: Check this one on Polymarket - $120,000+ net profits from spot on SPX 500 bets, powered by MiroFish sims on historical data.
His profile: polymarket.com/profile/%40moi…
For effortless gains, try Kreo copy trading: Auto-mirror pros like him and ride their edges.
Try here: @join" target="_blank" rel="nofollow noopener">kreo.app/@join
Add his wallet: [0x17559efac103ac7f361be37ec0b93888d4c55aac] to [t.me/KreoPolyBot?st…] and start track/copy him.
Repo: github.com/666ghj/MiroFish
cvxv666@antpalkin
Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: @moisturizer?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@moisturizer?v…
Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together. English
