TheirStack

@TheirStack search for Series B SaaS companies in Austin using React and PostgreSQL, then summarize their funding stages and employee counts.

Found 14 companies matching your criteria. Example results include a fintech platform with 87 employees and $23M Series B raised in Q2 2024, a marketing automation tool with 52 employees and $18M Series B from late 2023, and a developer tooling startup with 41 employees and $15M Series B closed this quarter. All three use React frontends with PostgreSQL backends. The median employee count across the set is 58, and total funding ranges from $15M to $31M. This search consumed 42 API credits (14 companies × 3 credits each).

This example highlights TheirStack's firmographic and technology filtering—ideal for prospecting or competitive analysis. Each returned company costs 3 API credits, so a broad search can quickly exhaust a free account's daily allowance. Check your credit balance with the Get Credit Balance tool before running large queries.

@TheirStack show me my saved searches and credit consumption over the last 7 days so I can see which queries are burning through our quota.

You have 6 saved searches: 'Enterprise SaaS – AWS stack' (last run 2 days ago), 'Seed-stage AI companies' (last run 5 days ago), 'Healthcare tech – HIPAA compliance' (never run), and three archived searches. Over the past 7 days, your team consumed 1,847 API credits—peak usage was Monday (412 credits) when the 'Enterprise SaaS' search returned 137 companies. UI credits consumed: 89, mostly from manual profile views. Your current balance is 3,153 API credits, expiring in 22 days.

This read-heavy example demonstrates credit monitoring and saved-search inventory—critical for teams managing usage across multiple users. The tool returns cumulative totals and daily breakdowns, helping you identify expensive queries before they exhaust your quota. No credits are consumed by listing saved searches or checking balances.

@TheirStack find job postings from the last 30 days at companies using Kubernetes, filter for senior engineering roles in the Bay Area, and draft an outreach email template.

Found 89 job postings matching your criteria. Representative roles include a Senior Platform Engineer at a Series C observability startup (posted 4 days ago, $180k–$240k range), a Staff SRE at a public cloud security vendor (posted 11 days ago, $200k–$260k), and a Principal Engineer at a fintech unicorn (posted 18 days ago, no salary disclosed). All three companies run production Kubernetes clusters and are headquartered in San Francisco or Palo Alto. Draft email: 'Hi [Name], I noticed [Company] is hiring for [Role]—your Kubernetes-native architecture caught my attention. I've helped similar-stage companies...' This search consumed 267 API credits (89 jobs × 3 credits).

This synthesis example pairs TheirStack's job-search tool with AI reasoning to generate actionable outreach. Job searches require either a posting-date or company filter; omitting both will fail. Like company searches, each result costs 3 API credits, so narrow your filters (seniority, location, technology) to avoid quota overruns on exploratory queries.

When TheirStack beats manual LinkedIn scraping for prospecting

A 3-person sales team at a dev-tools startup needs 200 qualified leads per quarter—companies running specific tech stacks (React + AWS Lambda) with 10-50 employees and recent Series A funding. TheirStack's Search Companies tool delivers this in one query, costing 600 API credits (200 companies × 3 credits each), versus 8-12 hours of manual research per rep. The credit budget matters: free accounts hit limits fast, so this works when you're already paying for TheirStack or can justify the paid tier based on time saved. If your ICP changes weekly or you need real-time contact emails (not just company matches), you'll still need enrichment tools downstream. For stable ICPs and firmographic targeting, TheirStack turns list-building from a weekly chore into a 5-minute Switchy prompt.

Track hiring signals without a dedicated research analyst

A 6-person product team at a B2B SaaS company wants early warnings when competitors staff up in specific areas—new ML engineers at rival X, customer-success hires at rival Y. TheirStack's Search Jobs tool filters by company, title, and posting date, so an agent can run weekly checks and surface new roles in a Slack digest. This scenario lives or dies on whether your competitors post publicly (many don't) and whether you care about historical trends (the tool supports date ranges). If you're tracking 3-5 known competitors and they hire via LinkedIn or Greenhouse, this replaces a manual ritual. If you need deeper org-chart mapping or private hiring intel, you're outside TheirStack's scope. For lightweight competitive hiring signals, it's a 10-credit-per-week habit that keeps the team informed without a research hire.

Filter integration partners by actual customer overlap

A 4-person partnerships team at a fintech platform evaluates 40 inbound integration requests per quarter but only has bandwidth for 6. TheirStack's technology and funding filters let an agent score each candidate: do they serve Series B+ companies, do their customers use Stripe and Plaid (our stack), do they have 500+ employees (integration-support threshold)? The List Company Lists and Search Companies tools surface overlap in under a minute per candidate, versus 20 minutes of manual research. The boundary: if your partnership criteria hinge on revenue, customer count, or private attributes TheirStack doesn't index, you'll still need manual diligence. For tech-stack and firmographic pre-qualification, this MCP turns a quarterly spreadsheet slog into a Switchy workflow that ranks candidates before the first call.