DefiLlama's AI tool is free, for now 😮

DefiLlama temporarily opened access to LlamaAI, their AI layer built on top of the platform's DeFi data. It was previously locked behind a $49/month Pro subscription. No word on when it closes.

📊 The tool lets you query DeFi data in plain language and get charts, breakdowns, and comparisons without touching a spreadsheet. I tested it. Asked it to chart trading fees across the top perpetual DEXs and it worked just fine. As you can see Hyperliquid is in a different weight class...

Worth trying while it's open. Next time you have a niche question like "what are the fastest growing lending protocols above $100M TVL" — just ask it

#AI

@Coin_Post

How to get 5,000 free LLM requests a day 😱

Most people don't know how much free AI capacity is sitting around unclaimed. Three platforms, each free with no card required, stack together to give you more daily usage than most personal projects will ever need.

Here's how to set it up:

1️⃣Google AI Studio. Sign up and grab a free API key. Gets you access to Gemini, Google's main model. 1,500 requests a day, nothing to pay.

2️⃣Groq. Runs open-source models like Llama at speeds most paid providers can't match. Free tier, no card.

3️⃣OpenRouter. One API key that routes to about 30 free models at once, including DeepSeek and Llama. When one hits its daily limit, you switch to the next.

If you're not doing anything that specifically requires Claude or GPT, this setup covers most use cases for free. No reason to pay $20 a month before you've tried it 🤖

#AI

@Coin_Post

What Is a Token in LLMs 🤖

A token is the basic unit a language model reads and writes. Not a word, not a character. In English, one token is roughly three to four characters, about 0.75 words on average.

💻 Models never see raw text. Everything you type gets converted into a sequence of token IDs before processing, then decoded back into text on the way out. This happens invisibly on every request.

The context window is the total number of tokens a model can hold at once. Your input, its output, and any system instructions all count against it. GPT-4o handles 128k tokens, Claude Sonnet goes up to 200k.

Pricing is quoted per million tokens, and input costs less than output because generating tokens is computationally heavier than reading them.

🤔 Reasoning models add another layer. o1, Gemini Thinking, Claude with extended thinking all generate internal reasoning steps before producing a visible answer. Those hidden steps are tokens too, billed at output rates. A short question can trigger thousands of tokens of work you never see.

Non-English text is less token-efficient. A sentence in Russian or Japanese often takes more tokens than the same sentence in English, because tokenizers were trained on corpora heavily skewed toward English. That affects both cost and how much fits inside the context window ❗️

#FAQ #AI

NotebookLM is the most useful free AI tool most people ignore 🔍

Google built this free AI tool to do one thing: answer questions about your own documents. Upload a PDF, a YouTube video, a Google Doc, a web page. NotebookLM reads all of it and becomes an expert only on what you gave it. Every answer links back to the exact sentence it came from. No hallucinated citations or confident fabrications.

📕 The use cases are obvious once you try it. Drop in a 300-page annual report and ask it to pull every mention of something specific. Or paste in 5 YouTube links on any topic, AI will pull the transcripts automatically and let you query across all of them at once. For a research paper, it will explain the methodology in plain English and point you to the exact paragraph it drew from.

There's also an Audio Overview feature. Feed it any set of documents and it generates a podcast-style conversation summarizing the material. I've used it to turn 80-page whitepapers into something I can actually listen to on a commute. The voices are slightly synthetic but the content tracks the source accurately 👍

#AI

Most people paying $20/month for AI tools don't know Ollama exists 🦙

Ollama is a free, open-source tool that runs large language models directly on your computer. No subscription or API key required, and nothing you type ever leaves your machine.

⚙️ Setup takes about 5 minutes. Download the app, install it, then open a terminal and type "ollama run llama3".

It pulls the model automatically and drops you straight into a chat. The full list of available models is at Library page: Llama 3, Mistral, Gemma, Phi, DeepSeek, and about 100 others. These are the same open-source models powering most of the cheap AI wrappers people pay for monthly.

💻 The privacy angle is the main draw for me. Anything you'd hesitate to paste into ChatGPT, like client files, your name, internal documents, or anything sensitive, runs locally without a second thought. Larger models need more RAM, but Llama 3.2 runs fine on 8GB and covers most everyday tasks.

If you're already paying for a ChatGPT or Claude subscription and not doing anything that specifically needs cool models like GPT-5.5, it's worth trying before the next billing cycle hits 💳

#AI

3 god-tier prompts every trader needs in 2026 🩶

These prompts turn Claude (or any strong AI) into your personal on-chain + price action analyst. You get professional-level insights in under a minute

1️⃣ On-сhain сycle analysis.
Instead of staring at 20 different metrics, just feed the AI the latest data from Glassnode or CryptoQuant.
Result: Clear macro view + key trigger to watch.
Prompt:

Act as a professional Bitcoin on-chain analyst. Here are the latest readings: [MVRV, NUPL, SOPR, Exchange Netflow, Miner Reserve, etc.]. 
Tell me: 
1) Current cycle phase 
2) Distribution vs Accumulation 
3) Smart money posture 
4) The single most important metric that would flip your entire thesis

2️⃣ Pure price action analysis.
Upload a clean chart screenshot (no indicators) and specify the timeframe.
Result: Clean market structure and precise invalidation levels.
Prompt:

You are a professional price action trader. Analyze BTC/USD on [timeframe]. Using only pure structure, tell me:
1) Current trend phase
2) HH/HL or LH/LL structure
3) Key invalidation level
4) Most likely next move
No indicators allowed.

3️⃣ Multi-timeframe + smart money (SMC).
Upload 3 screenshots at once (e.g. 4H, 1H, 15M).
Result: Ready-to-use intraday or swing setup with full risk management.
Prompt:

I am attaching 3 BTC charts (4H, 1H, 15M). Act as an experienced SMC trader.
Analyze:
1) Higher Timeframe bias
2) Key levels on each TF
3) Best entry zone
4) Directional bias + reasoning
5) Clear invalidation level

Save these prompts. They literally replace hours of manual analysis 😏

@Coin_Post

#AI

The best free transcription AI tool most people have never heard of 🤖

OpenAI open-sourced Whisper in 2022 and most people still don't know it exists. It transcribes audio and video locally on your computer, with near-human accuracy, no subscription, and no file size limits.

🤖 The easiest way to get started: on Mac, download MacWhisper. On Windows, download Whisper Desktop. Both are free GUI apps built on top of Whisper, drag in a file, pick a model, get a transcript. No terminal, no setup. The base model runs on any machine. The larger models are more accurate and still free.

The privacy angle is the same as with Ollama. Most transcription services upload your files to their servers. Whisper runs entirely on your machine. For interviews, client calls, or anything sensitive, that matters. I've used it on hour-long recordings and the output needs maybe 2-3 small corrections 🎧

If you're paying $10-15 a month for a transcription service and not doing anything that specifically needs live meeting notes or speaker diarization, this covers the same ground for free.

💸 There are plenty of AI services that are free or nearly free, and there are tons of opportunities out there. If you're interested, be sure to check other posts with the hashtag #AI

Span, backed by Nvidia, is testing mini data centers that look like giant AC units and can be installed in regular homes 🤔

Homeowners get free high-speed internet and a fixed electricity bill of $150/month. Everything above that is covered by Span, saving them around $180/month.

For Span, paying someone’s utility bill is still way cheaper than building and running a full-scale data center.

The only sad part: the box has 16 Nvidia RTX 6000 GPUs inside, but you can’t mine crypto on it – Span’s control unit will make sure of that 😣

#AI

Anthropic has opened access to Claude Fable 5 – its most powerful publicly available model yet 🤖

💰The price matches the horsepower – 2x the standard price of Opus 4.8:

🟠 $10 per 1M input tokens
🟠 $50 per 1M output tokens

For crypto, this is a double-edged sword:
Models this capable can make smart-contract audits and vulnerability research much faster. But attackers get access to the same upgrade – making exploits cheaper and easier to find. Anthropic clearly knows the risk. Fable 5 launched with strict safeguards, and flagged cybersecurity requests are automatically routed to the less powerful Opus 4.8.

Smarter audits. Smarter attackers.

Probably a good time to clean up your DeFi security: revoke old approvals, spread funds across separate addresses, and stop keeping everything in one hot wallet 🧠

#AI

Nvidia quietly put together a free course on building AI agents 🟢

If you've been meaning to understand how AI agents actually work (or build one yourself), this is one of the better resources I've found:

❤️ How modern AI agents are structured
❤️ Planning, reasoning, and interaction with LLMs
❤️ Connecting APIs, tools, and external services
❤️ Using memory and context effectively
❤️ Building your own AI agent from scratch
❤️ Working with documents and knowledge bases (RAG)
❤️ Hands-on labs, code examples, and practical exercises

One thing that confused me at first: you'll see a $1.68/hour price tag next to some labs. That's not for the course itself. The learning materials are free − the fee only applies if you use Nvidia's cloud GPUs for the practical exercises

I spent some time digging through it and even tested a few things myself. The content is surprisingly solid 👍

❤️ Save it for later and send it to that friend who keeps saying they're going to build an AI agent "soon"

#AI

No cameras. No wearables.
Just Wi-Fi reading how your body moves 📡

Researchers at Carnegie Mellon trained an AI model to turn ordinary Wi-Fi signals into detailed maps of human posture – even in the dark or when a person is partly hidden.

The real use case isn’t just surveillance. This could help detect falls, monitor elderly people without filming them, improve smart homes and assist rescuers in places where cameras can’t see.

Pretty useful. Buuuut... now they’ll be able to watch us through walls? 👀

#AI

I’ve been using Claude Artifacts for a while now, and it’s one of the easiest ways to build your own interactive trading mini-apps for free using a simple text prompt – without writing a single line of code. Here’s how I do it 🌞

*️⃣ Open Claude → Artifacts and start a new chat
*️⃣ Describe the tool you want to build
*️⃣ List the fields and calculations you need
*️⃣ Test the result and ask Claude to make changes

✨ A universal prompt template:
"Create an interactive [tool name]. Add fields for […], calculate […], and display the result as […]"

💡 Tools traders can build:
❤️ Liquidation simulator with different leverage and extra margin
❤️ Portfolio stress test for multiple market-drop scenarios
❤️ Funding arbitrage calculator with fees included
❤️ Entry, DCA and partial take-profit planner
❤️ Strategy analyzer for expectancy, drawdown and risk of ruin
❤️ Net cross-exchange spread calculator
❤️ Risk planner for multiple open positions

👆 I gave Claude a single text prompt, and it built me a fully functional risk-management calculator from scratch – you can see the result in the video

📌 Save this post and try building your own tools

#AI

Free AI videos with native audio 🤩

I found a pretty useful AI tool – Dola. It gives free daily access to Seedance 2.0 and turns a simple prompt into a complete short video with visuals, movement and sound. This is especially useful for testing content ideas before spending money on filming or editing

📝 What it can do:
🔠 generate several connected shots in one video
🔠 keep characters, products and visual style consistent
🔠 create dialogue, music and sound effects
🔠 follow instructions for camera, lighting and mood
🔠 turn product photos or concepts into short promo videos
🔠 create content for Reels, Shorts, ads and explainers

For better results, describe the subject, camera movement, lighting, mood and audio style in the prompt.

Dola currently gives around 4 free video generations per day on average, with no card required. The exact limit may vary

Save it and use it for your next content idea 👍

#AI