Tech lookup — stack detection.
Detect what tools a company uses. Four-layer detection (JS sniffing + DNS + careers parsing + third-party feeds) means you see what surface-level tools miss. Single lookup, bulk import, or query against the full database.
TL;DR
What tech does this company use? Single-domain lookup, bulk CSV, or filter the full Accounts database by stack. Detection is multi-layer — we see things webserver-fingerprint tools miss (analytics tools, internal-only platforms, CRMs).
01What it is
A search-by-tech-stack feature. Type a domain, get the company's detected tools. Or invert: filter the Accounts database by "uses Snowflake" or "has dbt but not Fivetran."
Used for: pre-call research, lookalike scoping ("companies with the same stack as my best customer"), competitive displacement ("everyone running Segment we should pitch").
02The 4 detection layers
| Layer | What it sees | Coverage |
|---|---|---|
| JS sniffing | Frontend tools (analytics, A/B testing, chat widgets) | Anything that injects client-side |
| DNS & MX | Email provider, hosting, CDN, third-party subdomains | Email + infra |
| Careers-page parsing | Stack mentions in JDs ("must know Snowflake") | Internal-only tools that JDs reveal |
| Third-party feeds | Crunchbase, BuiltWith, partner directories | Cross-reference |
03Single lookup flow
Type a domain in the lookup screen, hit enter. Results in <5 seconds for indexed companies, ~90 seconds for first-time crawl.
Output: categorized list of detected tools, with confidence per detection and source attribution. Click any tool to see "other companies that use this" — useful for lookalike workflows.
04Bulk lookup
Upload a CSV of domains (up to 1,000 per batch on Pro, 10,000 on Company). Mama processes them in background — results delivered as a downloadable CSV with one row per company, one column per detected tool.
Useful for: enriching existing CRM accounts, prospect-list research, M&A due diligence.
05Stack overlap analysis
Pick a reference company (your best customer, your top closed-won). Tech lookup shows you accounts in the database with the highest stack overlap with that reference.
This is a powerful lookalike vector. If your best customer uses Snowflake + dbt + Looker + HubSpot, accounts with 3-of-4 stack matches are higher-fit than firmographic lookalikes.
06Stack-change history
For each detected tool, Mama tracks when it was added or removed. Click "Stack history" on any company to see the timeline — when they added Snowflake, when they dropped Looker, when they swapped HubSpot for Salesforce.
This history is what powers the Tech-change signal in your feed. Same data, different surface.