Anthropic engineers just showed how they build a full app from scratch, using a loop of agents
40 minutes from the team behind Claude Code
they used three agents: one to plan, one to build, one to judge, cycling until the app actually works
the winners won't have the smartest model, they'll have the best loop
watch it, then read the full guide on how to actually use loops below
I genuinely don't understand why everyone isn't using this yet
Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.
You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.
Here's the whole thing:
> Install Obsidian, create a vault, open it in Claude Code
> Paste Karpathy's wiki idea file and tell Claude to build it
> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it
> Drop any source into raw and say "ingest this"
> Ask questions across everything, forever
Five minutes to set up, and you never start from a blank chat again.
Full step-by-step guide with Claude and Obsidian, link below.
Bookmark this
My friend applied to 200 tech jobs in two years. No CS degree. No callbacks.
Last month Anthropic offered him $750,000.
All because of one Stanford lecture. Free on YouTube. One hour.
A professor explains how ChatGPT actually works. Not the Twitter version. The real one.
He watched it in bed. Paused it eleven times. After that hour he told me something I didn't believe. "It's embarrassingly simple."
Three days later he applied to Anthropic.
Every single question they asked him, he knew from that video.
this OpenClaw bot catches luxury homes the day they sell with an empty backyard, renders a finished one into their REAL yard (not a random AI mockup), and mails the new owner the before/after. on autopilot.
and it's not just for pool builders, landscapers, outdoor-living crews & design-build firms can all run this exact system.
here's how it runs, end to end:
- catches $500k–1.5M sales, then flags the empty backyards
- filters by lot size, sun exposure & recent ownership change
- pulls the new owner straight from public records (not shared leads)
- renders each upgrade into their real backyard photo — their yard, not a stock one
- calculates build cost + home-value lift for their specific zip
- generates a cinematic before→after video of their backyard
- prints a personalised postcard with the before/after + QR code
- drops it in the mail + hits them with retargeting
every step from sourcing to outreach is automated. plug in whatever you install and it fills your pipeline.
reply "YARD" + RT and i'll send the full breakdown so you can build this too (must be following so i can DM)
You pay YouTube TV $72.99/month. For channels picked by Google. On Google's servers. With Google's ads.
You pay Hulu + Live TV $82.99/month. On Hulu's servers. With Hulu's ads. With Hulu's interface.
You pay Sling TV $40/month. For a stripped-down package. Still their servers. Still their rules.
Someone built a free collection of publicly available IPTV channels from every country on earth. No subscription. No account. No app required.
It's called iptv-org/iptv. 125,685 stars on GitHub.
You copy one URL. You paste it into VLC. You press Open. Every channel loads instantly. That is the entire setup.
Here's what it does:
→ A single master playlist at one URL containing every available channel in the repository.
→ Channels organized by country. By language. By category. Sports. News. Kids. Movies.
→ Works with any video player that supports live streaming. VLC, Kodi, Plex, IPTV Smarters, and dozens more.
→ Channels from every continent. Hundreds of countries. Dozens of languages.
YouTube TV: $72.99/month. $875.88/year.
Hulu + Live TV: $82.99/month. $995.88/year.
Sling TV Orange + Blue: $65/month. $780/year.
DirecTV Stream: $79.99/month. $959.88/year.
iptv-org/iptv: $0. Unlimited channels. Every country. Every language. Forever.
100% Open Source.
Github repo link: https://t.co/TjMEQkOVB2
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Don’t miss these x fam.
These are the dips.
They were all down 9/10% today.
Bookmark. Repost. Subscribe 1$
Check back in 5 years.
Take risks.
🚨 BREAKING: NVIDIA announces strategic partnership with LEGO to accelerate next-generation AI data center deployment.
Jensen Huang called it “the future of scalable infrastructure.” 📈🧱
$NVDA up after announcing they trained an AI model entirely inside a LEGO data center.
$COIN has pulled back from $443 to $138
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Arguably all of these positions have COMPLETED their ABC correction, they have all but crashed and now their risk is greatly reduced and have not been moving with the market
$JD, $BABA, $BIDU, $OSCR, $SE, $GRAB are note worthy adds
We are spoilt for choice right now.
SNAP Apr 9 puts showing repricing lag. $5/$5.5/$6 strikes rallied +43-68% today, but $7.5P stuck at +3% (bid $2.63, IV 347%) and $6P only +12% (bid $1.30, IV 117%). Further OTM contracts haven't caught up to downside momentum. Watch for continuation into lagging strikes.
PZZA Apr16 $27.5C lagging the move. Near-money calls up 124% avg but $27.5C flat at $4.40 despite 84% IV. Vol/OI 11x shows thin liquidity — next to reprice if uptrend extends. Bid $6.40/ask $8.90 offers asymmetric risk/reward on continuation.
SNAP Apr 9 puts lagging repricing. $7.5P traded $2.83 today, now $2.63 bid—only +3% despite sharp move. $6P similarly flat at +12%. Near-money strikes ($5-$6) up 43% avg. If selling pressure continues, these further OTM contracts face catch-up repricing. Vol at 325% and 109% respectively.