TeslaCryptoX

BREAKING: ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW. DCF models. LBO models. Equity research reports. Merger analysis. KYC checks. All of it. Free. On GitHub. It connects Claude directly to: -> Bloomberg, FactSet, S&P Global, Morningstar, PitchBook -> Builds real Excel models with live formulas and sensitivity tables -> Drafts CIMs, IC memos, earnings reports, and buyer lists -> Runs PE due diligence, GL reconciliation, and NAV tie-outs This is not a chatbot wrapper. These are production agents that own entire financial workflows. The kind firms pay $50,000 to $500,000 per year in software to run. Now it is a one-line Claude Code plugin install. 19.8K GitHub stars. Apache-2.0 License. 100% Open Source.

This woman sold 64,000 bottles of her $32 holistic medicine product in the last month That is over $2 million in revenue And the craziest part? She’s not even real She’s an AI creator Mamaariella posted the proof yesterday and I had to confirm it for myself. This AI character talks about holistic medicine And one thing I noticed immediately was her consistency She has been posting volume content consistently since last year. She makes 4 to 6 posts every single day Every video on her page speaks directly to the pain points of the audience. Out of curiosity, I clicked the link in her bio to check her Amazon page Over 64,000 bottles sold🤔 At this point, I’m beginning to think relationship niche is not the right niche for my AI influencer😩 Maybe I should switch to holistic medicine because what are these numbers? The interesting part is that the workflow is actually simple. You create an AI avatar Choose a niche with strong demand Create problem-solving content consistently Then stay visible long enough for people to trust you If you want to learn how to create AI influencers like this, we teach the full workflow inside the AI Income Hub Register now, we have just 10days to go Link is in the comment👇

🌏 Ripple + JPMorgan + Mastercard settled the FIRST cross-border tokenized U.S. Treasury redemption on XRPL. Read that again. A $9 TRILLION payment network is using $XRP rails to move REAL government debt. This is NOT a drill. 🚨

If your average items per order is under 1.3 - Here’s a 9.9% revenue lift you might be missing: 👉 Test adding a “Buy Now” button that skips the cart and sends shoppers straight to checkout. Sounds simple? Because it is. For single-item purchase brands, the cart step is just friction. It adds time. Adds distraction. Adds drop-off. Removing it doesn’t just smooth the experience, It directly impacts conversion. Takes minutes to test with @Visuallyio.

/radio

Automated goal tracking with Obsidian and Claude github.com/ballred/obsidi…

to get your character consistent from any angle in video you need to generate Character split view including 3 views, face close ups and other details, i did this using chatgpt image 2 on @lovart_ai upload a photo of character and use prompt below:

This video is 100% AI these style UGC ads are insanely fast to make and even faster to scale one script → dozens of variations same product, different faces, tones, settings you can sell anything: - saas - ecom - supplements - digital products rt + comment “ugc” and i’ll send the guide (follow for dm)

ANTHROPIC DROPPED A POLYMARKET TRADING BOT 68.4% WIN RATE Add 5 formulas to it and make $500-$1,500 per DAY Full guide👇

A single 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file just hit #1 on GitHub trending 🤯 It fixes LLMs' worst coding habits using 4 principles from Karpathy: Karpathy called LLMs out for making wrong assumptions silently. They overcomplicate everything. They edit code they were never asked to change. No pushback. No clarifying questions. They just run. So those observations were encoded into 4 behavioral constraints: → Think before coding. If something’s ambiguous, ask. Don’t pick one interpretation and run. Surface tradeoffs, stop when confused. → Simplicity first. Write the minimum code that solves the problem. No speculative abstractions, no flexibility nobody asked for. → Surgical changes. Only touch what the task requires. Don’t improve neighboring code, don’t refactor what isn’t broken. → Goal-driven execution. Turn vague instructions into verifiable targets before writing a line. “Add validation” becomes “write tests for invalid inputs, then make them pass.” It works immediately. Drop the file in your project root and Claude Code follows it from the first task. One file. Zero dependencies. No setup. And best part, 100% open source.

Someone just open-sourced shadcn-style map components for React. It's called mapcn. Theme-aware, fully composable, and built on MapLibre GL so you get full mapping power without the Mapbox bill. 100% Open Source.

Even when our backs were against the wall, we refused to fold. Always great to be back for XRP Las Vegas, and even BETTER to see $XRP up in lights.

Claude Trading Folder I’ve compressed the best trading prompts into one PDF Get it for FREE: • Like + Repost + Comment “TRADING” • Follow me so I can DM you

@albus114 If you believe him stop buying. If you remember that the Gov. told us BTC was only for Criminals and Warren Buffet said it was rat poison squared and Jamie Dimon said if he caught his employees buying bitcoin he would fire them, then you already know what to do.

AI = 100 product-in-hand ads/day Fully realistic UGC creatives — human hands, real product physics, cinematic lighting — powered by AI. - Cost per video: $0 - Creation time: minutes - Scale: infinite One engine that creates, tests, and scales winning ad creatives automatically — nonstop. Comment + RT “VEO” and I’ll DM you the full workflow. (Must be following)

RIP Bloomberg Terminal. Again. Someone just open-sourced a desktop app (REPO of the WEEK!) that does most of what a $24,000-a-year Bloomberg seat does, and it runs on Windows, macOS, and Linux for free. It's called Fincept Terminal. The thing that broke my brain isn't the data coverage. It's the agent layer sitting on top of it. 20+ investor AI agents baked in. Buffett. Dalio. Graham. Soros. Lynch. Klarman. You can route the same trade idea through all of them and watch them argue. Hedge fund presets too. Bridgewater All-Weather. Citadel multi-strat. Renaissance stat models. Pre-built strategies you'd normally pay millions in management fees to access. Then the data stack: → 100+ connectors including Polygon, Kraken, DBnomics with 100M+ economic series, World Bank, IMF, OECD → Full CFA Level 1, 2, 3 analytics implemented in Python → Visual node editor to wire data sources to Python agents to MCP tools without writing glue code → 3D globe with live AIS ship tracking, aircraft paths, and satellite orbits → Local LLM support so your positions never leave your machine That last one matters more than people realize. Every analyst at every fund is currently typing their thesis into ChatGPT and praying OpenAI doesn't notice. Fincept runs everything locally. Your alpha stays your alpha. The visual node editor is the part nobody else has. Drag a Polygon feed into a Buffett agent into an MCP tool that emails you when conditions hit. No code. No infra. This used to be the kind of stack you needed a Goldman badge to touch. 2.6K stars. AGPL-3.0. 100% Opensource.

Real-time quantitative trading with LLM integration github.com/0xemmkty/Quant…

Multi-strategy prediction market trading bot github.com/suislanchez/po…

Goodbye agents that silently hallucinate in production. Future AGI just open-sourced a full platform that makes AI agents self-improve... and it's wild. You literally plug in your agent and it traces, evaluates, simulates, guardrails, and optimizes it. That's it. It handles everything: - Traces across 50+ frameworks (LangChain, CrewAI, LlamaIndex, DSPy) - 50+ eval metrics in one call (hallucination, groundedness, tool-use, PII) - Simulates thousands of multi-turn conversations before you ship - 18 built-in guardrails + 15 vendor adapters (Lakera, Presidio, Llama Guard) - Gateway hitting ~29k req/s with P99 ≤ 21ms, 100+ providers - 6 prompt optimization algorithms (GEPA, PromptWizard, ProTeGi) No Langfuse. No Braintrust. No Helicone. No Guardrails AI duct-taped together. Honestly, this goes beyond observability tools. It doesn't just monitor your agent... it closes the feedback loop so it self-improves. The project is open-source on GitHub. Apache 2.0, fully self-hostable. It's called Future AGI.

The creator of Claude Code shares a wealth of knowledge about vibe-coding in just 30 minutes, which is more than many tutorials manage in hours. Save this it’s going to transform your approach to building.