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makeautomation

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Agentic_Shanky
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I asked an AI agent to scan 3 months of BTC on-chain data in 7 minutes. A manual analyst would've taken 3 days. Here's exactly what I ran: Perplexity Pro → pulled recent BTC miner outflow reports + exchange wallet movement summaries Make.com automation → fed that data into a structured research template Output → a clean entry thesis with 4 key signals: miner capitulation levels, exchange reserve drops, funding rate shifts, and open interest divergence. Total time: 7 minutes. Total cost: $0 extra (existing subscription). The result? I went into this week's BTC setup with actual data behind my decision — not gut feel, not Twitter noise. That's the difference between guessing and researching. On-chain signals don't lie. AI agents just make them readable in under 10 minutes. #BTC #OnChainAnalysis #MakeAutomation #CryptoTools #BinanceSquareTalks
I asked an AI agent to scan 3 months of BTC on-chain data in 7 minutes.
A manual analyst would've taken 3 days.

Here's exactly what I ran:
Perplexity Pro → pulled recent BTC miner outflow reports + exchange wallet movement summaries
Make.com automation → fed that data into a structured research template
Output → a clean entry thesis with 4 key signals: miner capitulation levels, exchange reserve drops, funding rate shifts, and open interest divergence.
Total time: 7 minutes.
Total cost: $0 extra (existing subscription).
The result? I went into this week's BTC setup with actual data behind my decision — not gut feel, not Twitter noise.
That's the difference between guessing and researching.
On-chain signals don't lie. AI agents just make them readable in under 10 minutes.
#BTC #OnChainAnalysis #MakeAutomation #CryptoTools #BinanceSquareTalks
Article
How I Automated My Entire Crypto Research Workflow Using Make.com + AI (And What It Found on SOL)Most crypto traders spend 2–3 hours daily doing the same repetitive research — checking news, scanning sentiment, pulling on-chain data, and then manually deciding if a coin is worth watching. I automated all of it. Here's the exact workflow I built using Make.com and a few AI tools that now runs every morning without me touching anything. The Problem With Manual Research You open 6 tabs. Check CoinGecko. Read three news articles. Open TradingView. Pull up Nansen or Glassnode. Cross-reference everything in your head. By the time you form an opinion, the price has already moved. This isn't research — it's reactive noise consumption. The fix isn't working harder. It's removing yourself from the loop. The Workflow I Built Here's what runs automatically every day at 7 AM: Step 1 — Trigger (Make.com scheduler) A scheduled scenario fires every morning. No manual input needed. Step 2 — News Aggregation Make.com pulls the latest crypto headlines via RSS feeds (CoinDesk, The Block, Decrypt). These get passed into the next module as raw text. Step 3 — AI Sentiment Layer (via HTTP module → Claude/Perplexity API) The headlines are sent to an AI model with a structured prompt: "Analyze these headlines. Flag any coins mentioned. Rate overall market sentiment: Bullish / Bearish / Neutral. Highlight any protocol updates or tokenomics events." Output: A clean structured summary — coin names, sentiment score, key events. Step 4 — On-Chain Signal Check If a coin is flagged, Make.com hits a Nansen or Glassnode endpoint to pull wallet activity data for that token. Unusual on-chain activity gets marked separately. Step 5 — Final Report Delivery Everything gets compiled and sent to my Telegram at 7:15 AM — formatted, ranked by relevance, ready to act on. What It Found on SOL Last Week Three days before SOL made a notable move, this workflow flagged: Spike in active wallets (on-chain data) Two major protocol update mentions across news feeds AI sentiment scored: Bullish (High Confidence) I already had my entry thesis formed before most people even opened their charts that morning. That's the edge. Why This Matters for Solo Crypto Researchers You don't need a hedge fund research team. You need one automated workflow that surfaces the right signal at the right time — before the crowd catches on. Make.com handles the automation. AI handles the analysis. You handle the decision. The whole setup took about 4 hours to build once. Now it saves me 2+ hours every single day — and the quality of research is higher than anything I was doing manually. Want to Build This? Start with Make.com's free tier — it's enough to run this entire workflow. Connect your news sources, add an HTTP module for the AI layer, and set up a Telegram bot for delivery. The infrastructure is free or near-free. The edge it gives you is not #CryptoResearch #MakeAutomation #AIWorkflow #Solana #DYOR*

How I Automated My Entire Crypto Research Workflow Using Make.com + AI (And What It Found on SOL)

Most crypto traders spend 2–3 hours daily doing the same repetitive research — checking news, scanning sentiment, pulling on-chain data, and then manually deciding if a coin is worth watching.
I automated all of it.
Here's the exact workflow I built using Make.com and a few AI tools that now runs every morning without me touching anything.
The Problem With Manual Research
You open 6 tabs. Check CoinGecko. Read three news articles. Open TradingView. Pull up Nansen or Glassnode. Cross-reference everything in your head. By the time you form an opinion, the price has already moved.
This isn't research — it's reactive noise consumption.
The fix isn't working harder. It's removing yourself from the loop.
The Workflow I Built
Here's what runs automatically every day at 7 AM:
Step 1 — Trigger (Make.com scheduler)
A scheduled scenario fires every morning. No manual input needed.
Step 2 — News Aggregation
Make.com pulls the latest crypto headlines via RSS feeds (CoinDesk, The Block, Decrypt). These get passed into the next module as raw text.
Step 3 — AI Sentiment Layer (via HTTP module → Claude/Perplexity API)
The headlines are sent to an AI model with a structured prompt:
"Analyze these headlines. Flag any coins mentioned. Rate overall market sentiment: Bullish / Bearish / Neutral. Highlight any protocol updates or tokenomics events."
Output: A clean structured summary — coin names, sentiment score, key events.
Step 4 — On-Chain Signal Check
If a coin is flagged, Make.com hits a Nansen or Glassnode endpoint to pull wallet activity data for that token. Unusual on-chain activity gets marked separately.
Step 5 — Final Report Delivery
Everything gets compiled and sent to my Telegram at 7:15 AM — formatted, ranked by relevance, ready to act on.
What It Found on SOL Last Week
Three days before SOL made a notable move, this workflow flagged:
Spike in active wallets (on-chain data)
Two major protocol update mentions across news feeds
AI sentiment scored: Bullish (High Confidence)
I already had my entry thesis formed before most people even opened their charts that morning.
That's the edge.
Why This Matters for Solo Crypto Researchers
You don't need a hedge fund research team. You need one automated workflow that surfaces the right signal at the right time — before the crowd catches on.
Make.com handles the automation. AI handles the analysis. You handle the decision.
The whole setup took about 4 hours to build once. Now it saves me 2+ hours every single day — and the quality of research is higher than anything I was doing manually.
Want to Build This?
Start with Make.com's free tier — it's enough to run this entire workflow. Connect your news sources, add an HTTP module for the AI layer, and set up a Telegram bot for delivery.
The infrastructure is free or near-free. The edge it gives you is not
#CryptoResearch #MakeAutomation #AIWorkflow #Solana #DYOR*
No more doom scrolling crypto Twitter at 7am. I built a simple AI research routine that gives me everything I need in under 15 minutes. Here's exactly how 👇 Step 1 — Ask Perplexity this: "Which crypto sectors are getting the most attention this week and why?" Today it told me — AI tokens and RWA (Real World Assets) are dominating investor attention right now. Step 2 — Go deeper with ChatGPT: "Give me the top 3 coins in AI crypto sector with strongest fundamentals right now" Got a clean breakdown in 60 seconds. No noise. Just signal. Step 3 — Automate the workflow: I use Make.com to automatically save my daily AI research into a Google Doc. Every morning — fresh research waiting for me. Zero manual effort. This is what crypto research looks like in 2026. Fast. Focused. AI-powered. The people still reading 50 newsletters daily are already behind. "The best crypto investor in 2026 isn't the one who works the hardest — it's the one who uses AI the smartest." #CryptoResearch #PerplexityAI #MakeAutomation #TAO #RNDR
No more doom scrolling crypto Twitter at 7am.

I built a simple AI research routine that gives me everything I need in under 15 minutes. Here's exactly how 👇
Step 1 — Ask Perplexity this:
"Which crypto sectors are getting the most attention this week and why?"

Today it told me — AI tokens and RWA (Real World Assets) are dominating investor attention right now.

Step 2 — Go deeper with ChatGPT:
"Give me the top 3 coins in AI crypto sector with strongest fundamentals right now"
Got a clean breakdown in 60 seconds. No noise. Just signal.

Step 3 — Automate the workflow:
I use Make.com to automatically save my daily AI research into a Google Doc. Every morning — fresh research waiting for me. Zero manual effort.

This is what crypto research looks like in 2026. Fast. Focused. AI-powered.
The people still reading 50 newsletters daily are already behind.

"The best crypto investor in 2026 isn't the one who works the hardest — it's the one who uses AI the smartest."
#CryptoResearch #PerplexityAI #MakeAutomation #TAO #RNDR
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