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Intel Report · Crypto Positioning

How to Build an OSINT Workflow for Crypto Research (2025)

Open Source Intelligence (OSINT) has become a core weapon for crypto analysts, traders, and institutional desks. In a market where flows move before prices , the ability to collect, filter, and act on information faster than competitors defines your edge. This guide…

Edward TrubinResearch & Systems, Doberman VCPublished October 3, 20252 minDoberman archive

In this analysis

Analysis

Thesis

Open Source Intelligence (OSINT) has become a core weapon for crypto analysts, traders, and institutional desks. In a market where flows move before prices , the ability to collect, filter, and act on information faster than competitors defines your edge.

Key findings

  1. This guide explains how to set up a working OSINT pipeline for crypto research in 2025 — using free and paid tools, automation, and structured workflows.
  2. The crypto market is noisy. Billions of data points are generated daily across blockchains, exchanges, media, Telegram, X (Twitter), and institutional reports. Without a system, you drown in information.
  3. Act before the market reacts — turning data into alpha.

Analysis

Why OSINT Matters in Crypto

An OSINT workflow helps you:

Collect structured and unstructured data from multiple sources.

Filter noise using automation and relevance scoring.

Analyze flows, signals, and correlations.

Step 1: Build Your Feed Layer

Your workflow starts with data ingestion .

Recommended tools in 2025:

Inoreader / RSS – aggregate crypto news, ETF flow trackers, DeFi dashboards, on-chain feeds.

SoSoValue, Farside, CoinMetrics – ETF flows, stablecoin supply, network stats.

Arkham, Nansen, Glassnode – smart money monitoring, exchange flows, wallet clustering.

Pro tip: tag feeds by category (ETF, Stablecoins, L2, Derivatives) → easier to filter later.

Step 2: Automate Processing

Manual reading = wasted time. Automate:

Make.com – route RSS or API data into workflows.

GPT-5 summaries – generate 3–5 bullet takeaways per feed item.

Alerts – send distilled info to Telegram or Slack.

Example:

ETF flow alert → GPT-5 summary → push to Telegram channel in under 60 seconds.

Step 3: Store & Organize

Don’t lose insights. Create a structured repo:

Notion – qualitative signals, screenshots, narrative analysis.

Airtable – structured DB (flows, metrics, backtests).

Google Sheets – quick dashboards for correlations (ETH/BTC vs ETF flows).

This gives you a living intelligence archive that compounds over time.

OSINT tools are most effective when applied to real signals: track stablecoin inflows , monitor CME basis shifts , and follow ETH/BTC rotation signals . Each guide builds into a full research pipeline.

Step 4: Act on Signals

OSINT is useless without execution. Tie your pipeline to market action:

ETF inflow > $300M? → trigger BTC long setup.

Sustained outflows > $500M? → rotation into ETH/L2 basket.

Stablecoin net inflows spike? → prep for short-term rally liquidity.

Turn raw signals → trading playbooks .

Tool Stack Summary

Feeds : Inoreader, RSS, SoSoValue, Glassnode

Processing : Make.com, GPT-5

Storage : Notion, Airtable

Alerts : Telegram bots

This stack is modular — start simple, expand as your needs grow.

Download the OSINT Cheat Sheet

Doberman VC is preparing a free OSINT Workflow Cheat Sheet (PDF) with ready-made stacks, automation recipes, and tool links — perfect for analysts, traders, and research teams.

Get Early Access Or sign up via Portal ↗

Continue the system

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