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Job-ad technographicsBy anvendor·Updated

anvendor vs TheirStack

TheirStack retrieved 124 published relationships and anvendor 123, with only 44 shared. Compare real domain examples and what each signal shows.

10 company stacks · 316 published relationships

Published relationships found

anvendor

38.9%123 / 316 found

TheirStack

39.2%124 / 316 found

79

anvendor only

44

Both found

80

TheirStack only

Company-technology API results. Job-based inference can reflect current tools, planned tools or candidate skills; a mention is not a paid-contract verification. Positive-reference recall, not precision; references can be old. A missing result does not prove non-use.

Features & integration access

FeatureTheirStackanvendor
API

Yes · jobs & technographics

Company search, technologies, job data and related workflows.

Official source ↗

Yes · REST API

Company analysis, service checks and customer discovery.

Official source ↗
MCP

Yes · official server

Search companies and jobs, retrieve technographics; uses API credits.

Official source ↗

Yes · official server

Connect AI clients to the same analysis, discovery and scan operations.

Official source ↗
Usage depth

Hiring context & confidence

Evidence frequency, recency and context; not an employee licence share.

Official source ↗

Estimated employee adoption

Where available; use signals do not verify paid seats.

Spend

No comparable figure collected

The saved stacks did not supply annual SaaS subscription ranges.

Estimated annual SaaS ranges

Published plans with estimated usage or size; USD, not invoices.

API/MCP availability describes documented products, not benchmarked results. Access and datasets may depend on the plan. On narrow screens, scroll the table sideways.

Methodology, tested services & customer references

Companies checked: Atlassian (atlassian.com), Canva (canva.com), Shopify (shopify.com), Okta (okta.com), HubSpot (hubspot.com), Databricks (databricks.com), OpenAI (openai.com), Ramp (ramp.com), Stripe (stripe.com) and Airbnb (airbnb.com). We selected well-known technology companies often named in customer references, with roughly fewer than 15,000 staff and matching website and corporate domains. This is a selected sample, not a representative market survey.

The starting point: vendors’ own customer logos and case studies. A company logo, customer story or testimonial published by a service vendor supplied a reference pair: for example, Stripe named by BrowserStack becomes stripe.com × BrowserStack. We then checked whether each collected tool result named that vendor or a matching product.

The reference set contains 316 relationships from 207 vendors: 175 involving vendors in anvendor's catalogue, reviewed individually, plus 141 involving additional vendors. For the additional group, a named product belonging to the vendor counted. Three SendGrid references duplicated Twilio relationships and were excluded.

What the percentages mean. On competitor pages, found ÷ published reference pairs is positive-reference recall. There are no verified negatives, so this does not measure precision. References may be old, describe one team or favour prominent companies. The catalogue subset favours anvendor's coverage; the added vendors came from collected tool lists, so vendors no method reported are omitted. We build anvendor and did not independently verify paid contracts. Missing evidence does not establish non-use.

A separate category analysis: the visibility infographic starts with 714 anvendor findings across 266 distinct services at those ten companies, rather than the 316 published reference pairs. Each finding is classified by service category and checked for traces in website/DNS/infrastructure results, job signals, both or neither. Its percentages are shares of anvendor findings, not retrieval accuracy. BuiltWith covers Stripe only, Sumble its Tech Stack tabs; the collected surfaces do not represent every competitor's full product.

Pricing: 20 selected GitHub estimates use published plans and estimated usage or company size. Vendr's saved GitHub benchmark covers 984 purchases from a different population. The interval overlap provides context; no named company's invoice was checked. Results were saved at different times, rather than collected simultaneously.

Download all 316 reference pairs and source links (CSV)

All 207 tested reference vendors

Each name links to a vendor-published reference page. The CSV maps every company-service pair to its source; this list describes the reference set, not anvendor's entire catalogue or all technologies returned by competitors.

TheirStack infers technology use from job postings. anvendor checks for company-service use, including tools that never appear in a vacancy. TheirStack retrieved one more published customer relationship overall in our sample, but the two methods found largely different relationships.

What each tool sees

TheirStack's data documentation describes job-based inference and confidence scoring using mention frequency, context and recency. This is useful for engineering stacks and hiring activity. A posting can also name a planned tool or a skill wanted from a candidate, so a mention is not a paid contract. anvendor adds estimated adoption and spend to its service-use detections, but provides no hiring signals.

 TheirStackanvendor
What it observesTechnologies inferred from job postings, with confidence scoresCompany-service evidence found through live scans
SaaS behind a loginYes, when a product is named in hiring evidenceCoverage includes CRM, HR, design, documents, ticketing, code hosting and storage
Depth inside a companyMention frequency, dates and confidence; these are not paid seatsEstimated adoption to help assess the scope of use
Spend figureNo company-service spend range in the collected stacksEstimated annual spend ranges from sourced plans and estimated usage; estimated rates labeled
Runs tool → companiesYes — company search by technology and hiring filtersYes — find companies with evidence of using a competitor
Best atEngineering coverage and evidence linked to vacanciesSaaS prospecting beyond website visibility, with live checks on demand

124 relationships versus 123

TheirStack retrieved 124 of 316 published relationships and anvendor 123. They shared 44: TheirStack added 80 that anvendor missed, while anvendor added 79 that TheirStack missed. Together they retrieved 203. A single overall score would hide most of the useful difference.

On real company domains

 TheirStackanvendor
stripe.com · ExpensifyFoundFound
stripe.com · FormaNot foundFound
airbnb.com · BuildkiteFoundNot found

“Found” means the collected result named that vendor or a matching product. “Not found” means it was absent from that result, not that the company does not use it.

Published customer references: stripe.com · Expensify; stripe.com · Forma; airbnb.com · Buildkite. These references supply the yardstick; the table reports our saved tool results.

TheirStack returned 647 technologies at Stripe and none at okta.com. At Okta, anvendor retrieved 18 of 34 published relationships. This was a gap in the collected TheirStack result, not evidence that Okta uses no software or that job data can never cover it.

How to read the results

We compared Atlassian, Canva, Shopify, Okta, HubSpot, Databricks, OpenAI, Ramp, Stripe and Airbnb against 316 customer relationships published by 207 vendors. Of these, 175 involve vendors in anvendor's catalogue and 141 involve vendors outside it. We reviewed matches individually for the first group; in the second, a named product of the vendor counted.

This measures how many published relationships each method retrieves, not precision or the complete stack. Customer references can be old, favour well-known companies and omit vendors none of the methods reported. We build anvendor; its detections were not independently verified as paid contracts. See the methodology, tested services and published reference links.

Which to use

  • TheirStack: technology requirements, hiring activity and broad engineering research.
  • anvendor: hidden SaaS and company-service findings with estimated adoption and spend.

Competitor use can signal a need in the category and help your team qualify a lead. It does not establish budget, dissatisfaction or intent to switch. Check the account against your ideal customer profile and identify a reason to reconsider before outreach. Spend ranges are estimates, not invoices or guaranteed deal sizes.

anvendor may reuse recent findings. Results less than 30 days old are treated as fresh; an already purchased result can be reopened without another charge. Choose Refresh to request a new paid live scan. Empty or failed checks return their credits.

Frequently asked questions

Is job-ad data less accurate than subscription data?

They answer different questions. A job ad records a technology requirement in a vacancy. anvendor looks for evidence of company service use. Neither signal alone establishes purchase intent, a paid contract or a willingness to switch vendors.

Does anvendor show hiring signals?

No. anvendor does not read job advertisements. Hiring signals from another tool can complement service-use evidence when you research an account.

Does anvendor automatically score leads?

No. anvendor provides SaaS usage findings your team can use in its own lead scoring and qualification process. Assess the service match, company fit and estimated spend alongside what you learn about the account's priorities and timing.

What does anvendor cost?

Lead discovery is unlimited. Revealing a company costs 1 credit; a full company scan costs 1 credit. Free includes 20 credits per 30 days; Starter includes 100 for $99/month, Growth 400 for $299/month, and Scale 1,500 for $999/month. Matching one-time packs never expire.

Suggest a correction · Sources and estimate limitations

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