Analytics and monitoring decision

Feedly

A small team can reproduce a narrow core workflow (ingest, extract, LLM summaries, deliver alerts) within a few weeks, but Feedly’s value relies on proprietary source coverage, a large threat graph, and many trained models that would be costly or slow to replicate.

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You pay

$7/mo

$84/yr

Not verified against a pricing page.

You’d pay instead

$100one-off80 h to build

$250/mo12 h/mo upkeep

On cash alone, building overtakes the subscription at 37 seats.

The code exists. It is not what you are paying for.

These 2 projects are real, published, and do the core job — and this page still says keep paying. What the subscription buys is proprietary data, proprietary data and proprietary models, and none of that ships in a repository. Fork one anyway if you want to. Go in knowing what it does not carry. What stays hard ↓ · All Feedly alternatives, with the arithmetic →

What a replacement has to do

  • Continuously ingest security-relevant sources, extract entities/indicators, build/query a lightweight threat graph, generate cited AI summaries/reports, and deliver alerts/newsletters to Slack/email or export as STIX.

What it still won’t have

  • access to Feedly’s 10,000+ curated TI sources
  • the described Real-Time Threat Graph of millions of relationships
  • the vendor’s 1,000+ trained AI models and task-specific tooling
  • built-in SOC 2 compliance and enterprise operational polish
  • no-code integrations and enterprise advisor support

What remains hard

  • Proprietary data10,000+ trusted TI sources
  • Proprietary dataReal-Time Threat Graph Relationships between 10M+ articles, 979 threat actors, 300K+ CVEs, 12K+ malware families, 800 TTPs, 681M+ IoCs
  • Proprietary models1,000+ AI models continuously extract entities, identify incidents, and tag TTPs
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 37 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal threat-intel pipeline in Node.js + Postgres (or Python + Postgres) that: 1) ingests RSS and HTTP article feeds on a schedule and normalizes them into a Postgres articles table; 2) runs an open-source NER/IOC extractor to pull CVEs, IPs, domains, malware names and stores extracted entities and edges in a simple graph table; 3) provides a query endpoint to surface articles linked to a CVE or actor; 4) uses an LLM (configurable provider key) to produce a 200–400 word source-cited briefing per query; 5) posts briefings to Slack and supports exporting selected intelligence as a STIX 2.1 JSON file. Out of scope: building a 10k-source ingestion network, training proprietary models, and enterprise admin UI. Include error handling, retries for fetches, basic unit tests for ingestion and extraction, and README deployment steps for a single VM (estimated infra: small cloud VM + managed Postgres).
How we checked5 sources · 3/3 runs agreed · evidence score 26

How the score was reached

  • Pay verdict base20
  • An open-source build was found+5
  • 5 cited sources+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-6
  • Evidence score26

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! Price not confirmed on the page - this pricing page renders its price in the browser✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 3 moats quoted from the page