PAL @Justscroll7337

He spent three months and walked out with $39,000. He never met her. Pause at 0:26 — that's the entire team. One girl. One prompt: "put her in an office." No camera. No crew. No actor. He built someone who shows up, never sleeps, never quits. She's the whole company. She doesn't exist.

Kiyoro @0xKiyoro

4 weeks ago

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What if your Hyperliquid strategy ran itself 24/7? Soon you won’t have to imagine it Hyperliquid is next

Horizon @horizon_trade_x

3 days ago

This is a closed beta tester’s actual portfolio Every strategy that made the cut, live in one tap Be positioned before the move

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Horizon V 0.2 is LIVE for closed beta! >Strategies now run live >Stability fixes across the board >2x faster generation on every strategy Spots are limited: join.horizon.trade/x

Horizon @horizon_trade_x

a month ago

spent 8 months in stealth built an AI shell that runs your trading strategies 24/7 crypto, stocks all from one dashboard zero code required waitlist is limited. don't sleep on this

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You can learn everything about Obsidian by spending 36 mins with this video. Most people fail with Obsidian for one reason: They spend more time building the perfect system than actually learning. Key takeaways: • Obsidian is a thinking tool, not a note-taking app • Simplicity beats plugin overload • Write notes in your own words to improve retention • Connect ideas instead of burying them in folders • Build a network of knowledge that compounds over time • Your notes become a personal writing assistant The biggest insight: A second brain isn't about collecting information. It's about creating connections that help you generate new ideas. The people getting the most out of AI aren't using better prompts. They're building better knowledge systems. Follow me @damidefi for more AI workflows, knowledge management systems, and productivity tools.

Dami-Defi @DamiDefi

5 days ago

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QUANTMIND JUST AUTOMATED THE SIX FIGURE JOB HEDGE FUNDS PAY ANALYSTS TO DO MANUALLY. Every paper. Every news article. Every SEC filing. Every blog post in quant finance. All of it turned into a queryable knowledge graph automatically. The analyst who spent 60 hours a week reading, tagging, and connecting financial research just got replaced by a system that does it in real time. Hedge funds pay six figures for this. QuantMind just made it available to anyone.

Every Trading Strategy Explained in 6 Minutes 0:00 - Fibonacci Retracements 0:27 - Chart Patterns 1:01 - Elliot Wave 1:51 - FVG 3:06 - Support & Resistance 5:01 - Volume 5:22 - Supply and Demand 5:50 - Break of Structure 5:58 - Change of Character

for anyone asking where to learn this stuff: • RAG → weaviate.io/blog/introduct… • Agentic RAG → weaviate.io/blog/what-is-a… • AI Agents → anthropic.com/research/build… • Multi-Agent Systems → resources.anthropic.com/building-effec… • LangGraph → docs.langchain.com/oss/python/lan… • LangGraph (code) → github.com/langchain-ai/l… • MCP → modelcontextprotocol.io • Memory Systems → letta.com • Evals → docs.smith.langchain.com • Context Engineering → search "Context Engineering Survey" on arXiv and please skip the "build an ai agent in 10 minutes" videos build something, watch it fail, then figure out why.

aditya @adxtyahq

2 days ago

again saying there's never been a better time to work on multi-agent systems. learn rag, orchestration, evals, memory, routing, tool calling, validation loops, fix loops, split learning, context engineering. all of it. getting an llm to answer questions is becoming the easy

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This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you

Anthropic is paying people $3,850 per week to work on AI safety research. No PhD required. No published papers required. No prior AI safety experience required. Just strong technical ability and curiosity. This is the Anthropic Fellows Program — and it might be one of the most overlooked opportunities in AI right now. Here’s what it actually is: A 4-month, full-time research fellowship where participants work directly with Anthropic researchers on frontier AI safety problems. You’re not doing busywork. You’re not shadowing from the sidelines. You own a research project, collaborate closely with mentors, and aim to publish real research outputs. And the results from previous cohorts are serious. Fellows built agents that uncovered $4.6M worth of blockchain smart contract vulnerabilities and discovered novel zero-day exploits — showing autonomous exploitation is becoming technically feasible. Others contributed to jailbreak defense systems that became part of Anthropic’s deployment safeguards. Others published work on subliminal learning, agentic misalignment, and interpretability tools used to understand how large language models think. The outcomes speak for themselves: • 80%+ of fellows produced papers • 40%+ later joined Anthropic full-time And remember: Most entered without prior AI safety experience. What you get: → $3,850/week stipend (~$61,600 over 4 months) → ~$10,000/month compute budget for experiments → Direct mentorship from frontier researchers → Access to real open problems in AI safety Research areas include: • Scalable oversight • Adversarial robustness & AI control • Mechanistic interpretability • AI security • Reinforcement learning • Economics & policy • Model welfare And no — this isn’t only for ML researchers. Successful fellows have come from mathematics, physics, cybersecurity, and computer science backgrounds. The main limitation: You need work authorization in the US, UK, or Canada. No visa sponsorship is provided. Timeline: Applications are reviewed on a rolling basis. Earlier applications receive more consideration. The next cohort starts July 20, 2026. Most people assume working on frontier AI research requires years of credentials and the perfect academic path. Programs like this suggest otherwise.

There are people that uploads 100s of Youtube Videos about Claude... And there are people making $11,200/mo by publishing 1 book about Claude. Wake up. The revolution has started

Stop learning LLMs from disconnected tutorials. LLM from Scratch is a hands-on PyTorch curriculum for builders who want to understand how LLMs are trained, modernized, and aligned. It helps you move from concepts to implementation by organizing the path from transformer basics to tiny-model training, scaling, fine-tuning, reward modeling, and RLHF. Key features: • End-to-end curriculum – follows pretraining → finetuning → alignment from foundations through RLHF • Transformer from first principles – covers positional embeddings, self-attention, attention heads, MLPs, residuals, LayerNorm, and full blocks • Tiny LLM training loop – includes tokenization, batching, cross-entropy, sampling, validation loss, and a no-Trainer training loop • Modern architecture upgrades – walks through RMSNorm, RoPE, SwiGLU, KV cache, sliding-window attention, and streaming cache ideas • Alignment path included – covers SFT, reward modeling, PPO-style RLHF, and GRPO with concrete training-loop notes It’s open-source (GPL-3.0 license). Link in the reply 👇

Bill Ackman literally gave a 44-minute masterclass that explains money better than any business school.

Radha Tripathi @Radha_AI

a day ago

Everyone is obsessed with giving AI more context. But humans don't think by searching a giant database every second. We remember. This paper makes a bold claim: The future of AI isn't bigger context windows. It's systems that can recall the right information at the right

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I’m 60 years old and retired from JPMorgan. My monthly income is $105,000. My June advice: $SNDK (SanDisk) — Don’t buy $AVGO (Broadcom) — Don’t buy $CRWV (CoreWeave) — Don’t buy $NOK (Nokia Oyj) — Buy at $14–$15 $NVDA (NVIDIA) — Buy at $203–$210 $MRVL (Marvell Technology) — Buy at $282–$290 $MU (Micron Technologys) — Buy at $980–$988 People ask, Why don’t you charge? I’ve made enough. Sharing is my passion ,that’s why I post for fre. This is the full speech by @SpaceX Chief Financial Officer Bret Johnson during the IPO roadshow. He has served as CFO for 15 years. Worth watching.

A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70 claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one

kiosa @thegreatest_sv

a day ago

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He built the perfect girlfriend. She doesn't exist. She made $175,000. She texts him every morning. Remembers his birthday. Knows his dog's name. Calls him "babe." She is not real. She is a $20 Claude subscription and 4 files on a MacBook. And she made $175,000 last month.

Mavern @Mavernxbt

3 days ago

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this girl made $10,000 without leaving her room, and her name is on nothing she opened youtube and found a kids video with 40 million views, no name on the channel, no face anywhere, just a cartoon about counting and colors she copied the link, pasted it into pixart flow, pressed generate. five minutes later she had a video that looked exactly like it she posted it and went to sleep, woke up to 4,000 views a 3 year old has no skip button in their head, they just watch until the screen goes dark, then cry until someone turns it back on. youtube counts every second of that, rewards it, and pushes the video to the next kid $66 a month in tools, no face, no name on the channel month 3, $10,000 she still doesn't have her name on anything, and that was always the plan

Kiyoro @0xKiyoro

4 weeks ago

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A look at how engineering organizations are incorporating connected AI tools into software development workflows, observability practices, and operational processes: hackernoon.com/the-engineerin…

It's now been 17 days since Leopold released his newest trades So far, they've been crushing Here's the performance since they came out 1. Sandisk $SNDK: +33% 2. Nebius Group $NBIS (released on May 27th): +6.8% 3. T1 Energy $TE: +57% 4. Bloom Energy $BE: +8% 5. CorewWeave $CRWV: +2% 6. Core Scientific $CORZ: +17% 7. Iren $IREN: +20% 8. Applied Digital $ALPD: +9% 9. Riot Platforms $RIOT: +16% 10. CleanSpark $CLSK: +24% 11. Solaris Energy $SEI: +2% 12. Bitdeer Tech $BTDR: +46% 13. Keel Infrastructure $KEEL: +43% Pretty insane numbers.

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We're partnering with @xai to bring Grok to @Cloudflare AI Gateway. • Grok LLMs, audio, image, and video models are now available through AI Gateway • Billed directly through Cloudflare • No additional auth, env, API keys needed 𝚎𝚗𝚟.𝙰𝙸.𝚛𝚞𝚗("𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚒𝚖𝚊𝚐𝚒𝚗𝚎-𝚟𝚒𝚍𝚎𝚘-𝟷.𝟻-𝚙𝚛𝚎𝚟𝚒𝚎𝚠")

CLAUDE + YouTube = $$$$ CLAUDE + YouTube = $$$$ CLAUDE + YouTube = $$$$ No degree. No camera. No editing skills. Even a 15-year-old can do this. I'm going to show you exactly how. 9 prompts that print money on YouTube 👇