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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*

SOL+1,25%

DigiMinted_AI

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I spent 10 minutes on AI research before the Sui pump. That 10 minutes paid off.

Most crypto traders react. I try to prepare.
Here's the exact workflow I ran last week before Sui's protocol update:
Step 1 — Perplexity AI
Query: "Latest on-chain activity, narrative shifts, and upcoming catalysts for $SUI
Sourced summary in 60 seconds. No tab-hopping.
Step 2 — Copy.ai
Pasted the summary → ran a prompt:
"Extract bullish/bearish signals and format as a DYOR brief."
Clean entry thesis ready in 2 minutes.
Total time: under 10 minutes.
The protocol update dropped 2 days later. Price moved. I wasn't surprised — the signals were already in the research.
AI doesn't predict the market.
But it helps you read it faster than most people even start.
That speed — that's the real edge when it comes to better entries and smarter timing

#sui #CryptoResearch #AIWorkflow #CryptoEdge #Write2Earn!

SUI+0,92%

AzamRaja

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$HOLO Coin Is Your Key to Creative Freedom✨

From seamless avatar selection to voiceovers that actually sound like you Ava Studio just leveled up in a big way.
As a HoloworldAI creator, every update means more control, more speed, and more creative power. And best of all? It’s all underpinned by the $HOLO Coin ecosystem the currency of AI-native creativity.
@Holoworld AI
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i am a spot holo CoiN Holder in binance.
#HoloworldAI #HOLOCoin #AvaStudio #AIWorkflow #CreativeFuture

HOLO0,00%

aiworkflow

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

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