Title: Deep B2B SaaS Research - Competitive Intelligence & Market Data
PROJECT OVERVIEW:
I need comprehensive research on ~100 B2B SaaS and infrastructure products in the developer tools space. This goes beyond surface-level information - looking for strategic intelligence and market data.
WHAT I'LL PROVIDE:
• List of 100 products to research
• Product categories
WHAT I NEED (for each product):
CORE INFORMATION:
• Product description (2-3 sentences)
• Official website + documentation links
• 3-5 direct competitors with key differentiators
PRICING & COSTS:
• Free tier details (if applicable)
• Paid tier pricing (all levels)
• Enterprise pricing (if publicly available)
• Pricing model (per-request, per-GB, per-month, etc.)
• Typical monthly costs at small/medium/large scale
• Hidden costs (support fees, data egress, professional services)
MARKET INTELLIGENCE:
• Real customer examples (companies using it, use cases, scale)
• Common tech stack combinations & integrations
• Scaling thresholds (when to upgrade, volume limits)
• Support/SLA details by tier
• Technical specs (latency, limits, regions where applicable)
COMPETITIVE ANALYSIS:
• Feature comparison vs top 2 competitors
• Pricing comparison at different usage levels
• Pros/cons summary
BUSINESS INTEL:
• Sales/partnership contact information
• Referral or affiliate program details
• Startup credit programs or discount offerings
• Recent changes (pricing updates, new features, funding news)
DELIVERABLE FORMAT:
Google Sheets or Airtable with organized tabs:
• Main product database
• Competitive comparisons by category
• Vendor contacts
• Discount/credit programs
TIMELINE: 2-3 weeks preferred
IDEAL CANDIDATE:
• Experience with B2B SaaS competitive analysis
• Comfortable with technical products and documentation
• Strong research skills (finding non-obvious information)
• Web scraping capability helpful but not required
• Previous market intelligence or competitor research experience
TO APPLY:
Please include:
• Examples of similar research projects (especially competitive intelligence)
• Your research methodology/approach
• Estimated hours and your rate
• Tools or automation you would use
• Sample of how you'd structure the data (screenshot or brief description)
Apply Now
Apply Now