About 🔦 Beacon
Turn company signals into actionable insights
The Problem
Finding the right companies is hard. Whether you're looking for your next role, building your professional network, sourcing candidates, or identifying business opportunities - the challenge is the same: there are millions of companies, and you need to find the ones that matter to you.
Traditional approaches are reactive. You wait for opportunities to surface, manually research companies one-by-one, or rely on incomplete data. By the time you find a relevant company, the moment may have passed.
Beacon flips this: define what you're looking for, then let AI discover and deeply research companies that match - surfacing the signals that matter.
Who Uses Beacon
Job Seekers
Find companies that match your skills and preferences before they post jobs. Get ahead of the competition with proactive outreach.
Networkers
Discover companies and contacts aligned with your career interests. Build relationships strategically, not randomly.
Recruiters
Find companies actively hiring for roles you can fill. Identify growth signals that indicate upcoming talent needs.
Sales & BD
Discover companies matching your ideal customer profile. Research their tech stack, growth stage, and key decision makers.
How It Works
1. Define Your Criteria
Tell Beacon what you're looking for: industries, company stages (startup to enterprise), technologies, locations, and keywords to include or avoid. Your criteria become the lens through which companies are discovered and evaluated.
2. AI Discovers Companies
Beacon's AI agents search across multiple sources to find companies matching your criteria:
- Tech news and funding announcements
- Industry publications and blogs
- Company directories and databases
- Engineering blogs and tech stack mentions
3. Deep Signal Research
Each discovered company is researched across five signal categories:
- Growth & Funding: Recent raises, expansion plans, investor backing
- Culture & Work Style: Remote policies, team dynamics, values
- Tech Stack: Languages, frameworks, infrastructure, engineering practices
- Leadership: Recent hires, team changes, org structure
- Hiring Activity: Current openings as signals of growth areas
4. Fit Scoring & Insights
Each company receives a fit score (1-10) based on how well it matches your criteria:
- 8-10: Strong match - highly aligned with your criteria
- 6-7: Good potential - worth exploring further
- 4-5: Partial match - some alignment but gaps exist
- 1-3: Low fit - significant misalignment
The AI provides detailed reasoning explaining why each company scored as it did, helping you prioritize your time on the highest-value opportunities.
5. Contact Discovery
For each company, Beacon identifies key contacts - founders, executives, team leads, and other relevant people. Use these to reach out strategically with context about what the company is doing and why you're interested.
The Discovery Flow
Key Features
Proactive Discovery
Find relevant companies automatically instead of searching one by one
Multi-Signal Research
Deep analysis across funding, culture, tech stack, leadership, and hiring activity
Intelligent Scoring
AI-powered matching that explains why each company does or doesn't fit
Contact Intelligence
Identifies key people at each company for strategic outreach
Technology
Cost Estimates
Free Tier
- Gemini AI: Generous free tier (60 requests/minute)
- Google Custom Search: 100 queries/day free
- Self-hosted: Run locally or deploy to any platform
With free tiers, you can run several discovery sessions per day at no cost. Each session discovers and researches multiple companies.
FAQ
What makes this different from LinkedIn or Crunchbase?
Those platforms require you to search manually and evaluate companies one by one. Beacon proactively discovers companies matching your criteria and researches them automatically, surfacing the signals that matter most.
What signals does it research?
Five categories: Growth & Funding, Culture & Work Style, Tech Stack & Engineering, Leadership Changes, and Hiring Activity.
How often should I run discovery?
Weekly or bi-weekly is ideal. The landscape changes as companies raise funding, expand teams, or shift priorities. Regular discovery keeps your pipeline fresh.
Is my data private?
Yes. All data is stored locally in SQLite. Your criteria are only sent to Google APIs for search and AI analysis - nothing is shared elsewhere.