When you're building a startup, knowing what competitors are doing isn't optional — it's survival.
But competitive intelligence tools cost $500-$3,000/month. That's not viable at seed stage.
Here's my $12/month system that tracks 50 competitors across 5 signals. I've used this to catch two competitor pivots 6 weeks before they announced anything publicly.
The 5 Signals That Actually Matter
After 2 years of competitive tracking, these are the only signals that predict what a competitor will do next:
- Job postings — tells you what products/features they're building
- Pricing page changes — tells you their margin pressure
- New blog content — tells you what SEO territory they're targeting
- LinkedIn headcount — tells you if they're scaling or cutting
- Product changelog — tells you velocity and feature prioritization
Everything else is noise.
Signal 1: Job Postings (Predict Features 3-6 Months Out)
When a competitor posts "Senior ML Engineer — Recommendation Systems," they're building a recommendation feature. This shows up in the job post 3-6 months before the feature ships.
My setup:
Apify LinkedIn Jobs Actor → filters by company name → extracts job titles
Cost: ~$0.003/job listing. For 50 companies × 10 jobs avg = $1.50/run. Weekly run = $6/month.
Alert trigger: new job title contains keywords like "ML," "payments," "mobile," "enterprise"
I saw Notion's "Collaborative AI" job posting 4 months before they announced Notion AI. Could have pivoted our positioning earlier.
Signal 2: Pricing Page Changes
Most competitors change pricing quarterly. The change is usually -20% to -40% — they're under margin pressure.
Apify Web Scraper → target pricing pages → extract price tier names + amounts
Store snapshots daily. Alert when any price changes.
Cost: $0.001/page. 50 pages/day = $0.05/day = $1.50/month.
I caught a competitor dropping their starter tier from $49 to $29. Gave me 2 weeks to preemptively email our churned users with a counter-offer before the competitor's announcement.
Signal 3: Blog Content (SEO Territory)
New blog post = they want to rank for those keywords. If a competitor starts posting about "enterprise security," they're going after enterprise customers.
Apify RSS Feed Monitor → competitor blog RSS feeds → detect new posts → analyze titles
Cost: near zero (RSS is free). I run this through n8n RSS triggers.
Signal 4: LinkedIn Headcount
This one's harder to automate but worth it. LinkedIn company pages show employee count. Track it monthly.
Apify LinkedIn Company Scraper → extract headcount → track weekly deltas
Drop of 10%+ = layoffs or pivot. Growth of 20%+ in one department = major investment there.
Cost: $0.005/company. 50 companies monthly = $0.25/month.
Signal 5: Product Changelog
Most SaaS tools have public changelogs at /changelog. Some use public GitHub repos.
Apify Web Scraper → changelog pages → extract new entries vs last week
Cost: $0.001/page. $1.50/month for daily tracking.
What this reveals:
- Feature velocity (are they shipping faster than you?)
- Bug count (lots of "fixes" = instability)
- Enterprise focus (SSO, audit logs, SAML appearing = mid-market push)
The Full Stack
Everything runs in n8n:
- Monday trigger → run all actors → store results in Airtable
- Delta detection → compare to last week's snapshot
- Significance filter → only alert on changes above threshold
- Telegram alert → one message per competitor with all changes
Example weekly digest:
📊 COMPETITOR INTEL — Week of Jan 15
🔴 Competitor A:
- 3 new ML job posts (recommend engine?)
- Pricing: $49 starter dropped to $39
- Changelog: Added SSO (enterprise push)
🟡 Competitor B:
- Blog: 4 posts targeting "B2B automation" keywords
- Headcount: -8% (possible cuts)
✅ No changes: Competitors C, D, E, F...
Total Cost Breakdown
| Signal | Actor | Monthly Cost |
|---|---|---|
| Job posts | linkedin-jobs | $6.00 |
| Pricing | web-scraper | $1.50 |
| Blog content | rss-monitor (free) | $0.00 |
| Headcount | linkedin-company | $0.25 |
| Changelog | web-scraper | $1.50 |
| Total | $9.25/month |
Add n8n cloud ($5/month) or run self-hosted (free): $9-$14/month total.
Versus Crayon ($1,000+/month) or Klue ($500+/month) for the same signals.
The Setup Time
If you're starting from scratch:
- Apify account setup: 10 minutes
- n8n workflow: 2 hours (or buy mine)
- Airtable schema: 30 minutes
- Telegram bot: 15 minutes
Total: ~3 hours one-time. Then it runs automatically.
Get the Pre-Built Setup
I packaged all the actor configurations I use — including the LinkedIn jobs scraper, company scraper, and web scraper for pricing/changelog tracking.
Includes:
- Actor input schemas (ready to paste in)
- n8n workflow JSON (import and connect)
- Airtable template (copy into your workspace)
- My exact keyword lists for job post signals
At €29 vs 3 hours of setup time at any reasonable hourly rate, this is the obvious choice.
The Meta-Point
Competitive intelligence doesn't need expensive tools. It needs:
- Knowing which signals to track
- Automation to track them consistently
- A system that filters noise from signal
Those three things cost $12/month, not $1,200.
What competitive signals do you track? I'm curious what I'm missing. Drop in the comments — I read everything.
Top comments (0)