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TheirStack

Read the job ads, learn the stack, and catch the tools no crawler can see

TheirStack is a hiring and technographic signal platform that ingests over 225 million job postings from more than 350,000 sources across 195 countries and extracts what technology each company runs, what roles it is hiring for, and what buying intent that implies, exposing the result through a web app, CSV export, a job postings API, a technographics API, a buying intents API, and MCP servers, with a free tier and credits from $49 per month or one-time packs from $109.

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Overview

Almost every technographic vendor reads websites. TheirStack reads job ads instead, and that single architectural difference is the whole reason it exists. A company's careers page will tell you it runs Snowflake, NetSuite, Workday, or a specific CRM long before any of those leave a trace in the public HTML, because they never will. Back-office and infrastructure software is invisible to a crawler and completely legible in a job description that lists it under required experience.

The scale is substantial: roughly 225 to 233 million job postings ingested, around 300,000 new ones a day pulled from more than 350,000 sources including job boards, company career pages, and staffing platforms, with natural language processing trained on technical job text extracting mentions of more than 33,000 technologies. Alongside that sit a technographics dataset of tens of millions of records and a buying intents dataset in the hundreds of millions, all derived from the same corpus.

The commercial model is the friendliest in this whole category for a small business. There is a real free tier you get on signup. Beyond that you buy credits, either as a monthly subscription starting at $49 for 1,500 credits and scaling to $400 for 50,000, or as one-time packs from $109 for 1,000 credits up to $999 for 200,000 with no subscription at all. That one-time option matters: it means a founder can spend $109 once, pull a list, and never think about it again, which is not something the enterprise vendors in this space will let you do.

The tradeoff is inference. TheirStack does not observe a technology running; it observes a company saying it wants someone who knows that technology. Usually those are the same thing. Sometimes the company is exploring a migration, or the recruiter copied the requirement from a template, or the mention refers to a tool the team is replacing. The signal is directionally excellent and individually fallible, and it works best in volume rather than one record at a time.

Best for

Vendors selling back-office, infrastructure, or developer software whose product never appears on a customer's website, recruiters and staffing firms who need hiring signal at scale, and technical GTM operators who would rather hit an API or an MCP server than click through a dashboard.

Not the right fit for

  • Anyone selling to companies that do not post job ads. Very small businesses, family firms, and most local services hire through word of mouth, and they are functionally invisible to TheirStack.
  • Buyers who need certainty that a technology is actually installed. This is inference from text, not observation of a running system, and treating a mention as proof will embarrass a rep on a call.
  • Ecommerce vendors selling storefront apps. A Shopify merchant's app stack shows up in the storefront, not in a job posting; Store Leads or BuiltWith is the right source there.
  • Teams that want a finished workflow with scoring, sequencing, and suppression. TheirStack gives you a query surface, exports, and APIs; the orchestration and the sending are yours to build.
  • Anyone expecting person-level intent. The unit of analysis is a company and a posting, not a named human in a buying window.

How it works

  1. 1

    TheirStack continuously ingests job postings from more than 350,000 sources: aggregator boards, company career pages, applicant tracking systems, and staffing platforms, across 195 countries. Roughly 300,000 new postings arrive each day and each carries more than 40 structured fields including salary, seniority, location, remote status, and the hiring company's domain, industry, and size.

  2. 2

    Natural language processing trained on technical job text scans each posting for technology mentions and maps them to a taxonomy of over 33,000 tools. That produces the technographics layer: a dated record that a given company mentioned a given technology in a given posting, with a link back to the source posting so you can read the sentence yourself.

  3. 3

    The buying intents layer sits on top. Rather than only extracting named tools, it matches keyword patterns that imply a need: a posting asking for experience migrating off a platform, or hiring a role that only exists once a company has bought a certain class of software. That is what turns a hiring record into a reason to call.

  4. 4

    You query all three datasets from the web app with more than 30 filters, or programmatically. There are separate APIs for job search, company search, company lookup, and enrichment, MCP servers for job postings and technographics so an AI assistant can query the corpus directly, CSV export on every plan, and email alerts for new postings matching a saved search. Every query and export consumes credits from your balance.

Feature breakdown

23 features in 4 modules

The job postings corpus

The primary dataset, and the source everything else is derived from.
Over 225 million postings indexed
A historical corpus deep enough to ask what a company was hiring for two years ago, not just what is open today.
Around 300,000 new postings a day
Continuous ingestion means a newly opened role appears within a day rather than at the end of a weekly or monthly crawl cycle.
More than 350,000 sources
Aggregator boards, direct company career pages, applicant tracking systems, and staffing platforms, which reduces dependence on any single board's access policy.
195 countries covered
Genuinely global rather than United States plus a thin international tail.
More than 40 fields per posting
Salary, seniority, location, remote status, posting and expiry dates, plus the hiring company's domain, industry, size, revenue, and funding.
Source links on every record
Each extracted signal traces back to the posting it came from, so a claim can be verified by reading the original text rather than trusted on faith.

Technographics from text

The differentiated layer: tools that no website crawl can detect.
More than 33,000 technologies tracked
Programming languages, frameworks, databases, cloud infrastructure, CRMs, ERPs, HR systems, data warehouses, and SaaS tools of every kind.
Coverage of internal and back-office software
The core advantage. A crawler cannot see Snowflake, NetSuite, Workday, or an internal CRM; a job ad requiring three years of it says so explicitly.
Technographic profiles for millions of companies
A company-level rollup of every technology ever mentioned across that company's postings, with dates.
NLP trained on technical job text
Extraction is tuned to the specific grammar of job descriptions, which is why it distinguishes a required skill from an aspirational one better than naive keyword matching.
Dated first and last mentions
Knowing when a technology first appeared in a company's hiring, and when it stopped appearing, is the closest thing to an adoption and churn timeline that inference can give you.

Buying intent signals

Turning hiring text into a reason to reach out.
Keyword-based intent extraction
Patterns in posting text that imply a purchase or a migration rather than only naming a tool, producing a much larger intent dataset than the technographics layer alone.
Hiring-volume signals
A surge in postings for a function is a budget signal in itself, independent of what tools are named in them.
Talent and growth insights
Open positions, employee growth, salary ranges, and benefits aggregated per company, which doubles as a proxy for how well funded and how fast-moving a target is.
Company firmographics attached
Industry, size, location, revenue, and funding come with each company record, so filtering to an ICP happens in one query.

Query, export, and developer surfaces

Unusually complete for a vendor at this price.
Web app with more than 30 filters
Job search, company search, and company lookup with combinable filters, usable without writing code.
Job postings API
Programmatic search over the posting corpus, included in the same credit balance as the app rather than sold separately.
Technographics API
Query companies by technology or look up a company's full inferred stack.
Buying intents API
Programmatic access to the intent layer for teams building their own scoring.
MCP servers
Job posting and technographics MCP servers let Claude, Cursor, or a custom agent query the corpus directly, which very few vendors in this category offer at any price.
CSV export
Available on every plan including the free tier, with 500 results per page and unlimited pages.
Email alerts
Saved searches notify you when new postings match, turning a query into a recurring feed.
Unlimited team members
There is no per-seat charge at all. Credits are the only meter, so a five-person team costs the same as one person.

Use cases

4 documented

Data infrastructure vendor

The product replaces a specific data warehouse, but nothing about a company's warehouse choice is visible from the outside.

A technographics query returns every company that has mentioned the incumbent warehouse in a posting in the last ninety days, with the posting linked so a rep can quote the actual requirement on the call.

Staffing agency owner

Business development means guessing which companies are hiring in the agency's specialisms before a competitor gets there.

Daily alerts on new postings matching role, seniority, and geography filters put the agency in front of a hiring manager within a day of the requisition opening.

Developer tools founder

The ICP is companies running a particular language and framework at a certain scale, which no firmographic filter approximates.

Filtering on technology mentions plus headcount and posting volume produces a few hundred genuinely qualified companies, pulled through the API into the founder's own scoring script.

Technical operator building an agent

The team wants an AI assistant that can answer which target accounts are hiring for a role that implies a purchase.

The MCP server lets the assistant query the posting corpus directly, so the answer comes back in conversation rather than through a dashboard and a CSV.

Pricing

from Free tier on signup, then $49 per month for 1,500 credits or $109 once for 1,000 credits

Credit-based, sold either as a monthly subscription or as one-time packs with no subscription; unlimited team members and no per-seat charge.

PlanPriceIncludes
Free$0
on signup
  • Free credit allowance
  • Job search, company search, and company lookup
  • CSV export
  • Email alerts
  • Unlimited team members

A genuine evaluation path rather than a demo. You can confirm whether your ICP shows up in job postings before spending anything.

Monthly API subscription, entry$49
per month for 1,500 credits
  • 1,500 credits monthly
  • Full app and API access
  • 500 results per page, unlimited pages
  • Unlimited team members
  • Roughly 3.3 cents per credit

The cheapest working plan in this category. Subscriptions carry a 10 percent discount against the one-time packs.

Monthly API subscription, mid$169
per month for 10,000 credits
  • 10,000 credits monthly
  • Roughly 1.7 cents per credit
  • Job postings, technographics, and buying intents APIs
  • MCP servers

Steps of 5,000 at $100 and 20,000 at $240 sit either side of this; the curve is smooth rather than cliff-edged.

Monthly API subscription, high volume$400
per month for 50,000 credits
  • 50,000 credits monthly
  • Roughly 0.8 cents per credit
  • Scales upward to 5,000,000 credits at $5,500 per month
One-time credit packs$109
one time for 1,000 credits
  • No subscription required
  • 5,000 credits for $199
  • 20,000 credits for $399
  • 100,000 credits for $749
  • 200,000 credits for $999

The option nobody else in this category offers, and the right answer for a one-off list build or a market research project.

Billing notes

  • Prices are published as of August 2026. Monthly subscriptions are roughly 10 percent cheaper per credit than the equivalent one-time pack.
  • Credits are the only meter. There is no per-seat charge and no separate API pricing, so app usage and programmatic usage draw from the same balance.
  • The API is included rather than sold as an add-on, which is the sharpest contrast with BuiltWith, where the API is a separate purchase entirely.
  • One-time packs mean you can run a project without an ongoing commitment; there is no minimum contract to escape.
  • Credit cost per record improves by roughly four times between the $49 and $400 tiers, so consolidating usage into a bigger monthly plan is materially cheaper than buying small packs repeatedly.

Value assessment: Model it at two volumes. A founder validating a market buys the $109 one-time pack, pulls 1,000 company records with their inferred stacks, and never pays again; at roughly 11 cents a record that is cheap for data nobody else has. A vendor running continuous outbound sits on the $169 monthly plan for 10,000 credits, or around 1.7 cents a credit, and pulls a few thousand qualified companies a month with the API doing the work. At $400 for 50,000 the unit cost falls under a cent. The pricing is the most honest in the category: no seats, no separate API bill, no annual lock-in, and a free tier that actually lets you check whether your buyers appear in job ads before you spend anything.

Strengths & limitations

Strengths

  • The job posting source sees software that no website crawler ever will, which makes TheirStack the only practical technographic option for back-office, data, and infrastructure vendors.
  • Every extracted signal links back to the source posting, so claims are verifiable rather than a black box, and a rep can quote the actual requirement on a call.
  • Ingestion of roughly 300,000 postings a day means the freshness ceiling is about a day, far better than the weekly or opportunistic crawls elsewhere in this category.
  • The API is included in the same credit balance as the app rather than priced separately, and MCP servers are available, which is a genuinely developer-friendly posture at this price.
  • One-time credit packs with no subscription make a project-scale purchase possible, which no enterprise-adjacent vendor in this space allows.
  • Unlimited team members with no per-seat charge, so an agency can put everyone in the tool without the bill moving.
  • Global coverage across 195 countries and more than 350,000 sources reduces exposure to any single job board changing its access terms.

Limitations

  • Everything is inference. A technology mentioned in a posting is strong evidence, not proof, and companies routinely list tools they are migrating away from, tools a single team uses, and tools copied from a stale template.
  • Companies that do not advertise roles publicly are effectively absent, which skews coverage toward larger and faster-growing organisations and away from small established businesses.
  • Recruitment agency postings are a persistent noise source: the hiring company in the record may be the agency rather than the end employer, and filtering that out takes deliberate work.
  • No storefront or consumer-web technographics, so ecommerce app vendors get nothing useful here.
  • No person-level data. You get a company, a posting, and a domain, and you still need a contact database to find someone to email.
  • The product is a query surface and a set of APIs, not a workflow. There is no scoring, no sequencing, and no CRM push beyond exports and your own integration work.
  • Credit consumption is easy to underestimate on exploratory queries, and a few careless broad searches will burn a small monthly balance quickly.

Head-to-head comparisons

5 alternatives

TheirStack vs BuiltWith

from $0 for individual site lookups, then $295 per month for Basic

BuiltWith observes what renders in a browser across roughly 492 million domains with eighteen years of dated history, from $295 a month with the API priced separately. TheirStack infers from job ads, catching internal tools BuiltWith can never see, from $49 a month with the API included. If your product leaves a fingerprint on a website, BuiltWith is more reliable; if it lives in a back office or a data stack, TheirStack is the only one of the two that will find your buyers.

Full TheirStack vs BuiltWith comparison

TheirStack vs Coresignal

from $49 per month (Mini, 2,500 credits)

Coresignal sells raw employee, company, and job posting data through an API from $49 a month, aimed at teams loading it into their own systems. TheirStack sells the same underlying kind of signal with the extraction and the intent layer already done, plus a web app a non-engineer can use. Take Coresignal if you are building a data product and want records; take TheirStack if you want answers to prospecting questions without writing a pipeline.

Full TheirStack vs Coresignal comparison

TheirStack vs PredictLeads

from $0 for the first 100 API calls per month, then a $40 monthly minimum

PredictLeads covers job openings alongside funding, news, and technographics, with source-linked records and a free tier of 100 API calls a month. TheirStack goes far deeper on the hiring corpus specifically, with 225 million postings and 33,000 technologies extracted from them. Use PredictLeads when you want several signal types in one API contract; use TheirStack when hiring is the signal that matters and you want the deepest version of it.

Full TheirStack vs PredictLeads comparison

TheirStack vs Store Leads

from $75 per month (Premium)

Store Leads reads storefronts and knows which apps a merchant installed and uninstalled last week. TheirStack reads job ads and knows what a company's engineering and operations teams run internally. There is essentially no overlap in what they see. Ecommerce vendors buy Store Leads; infrastructure and back-office vendors buy TheirStack; almost nobody genuinely needs both.

Full TheirStack vs Store Leads comparison

TheirStack vs Trigify

from $40 per month (Starter)

Trigify listens to public social and community activity for person-level signals such as a job change or a competitor complaint, from $40 a month. TheirStack reads institutional signals from job postings at the company level. Trigify gives you a named human with a reason to reach out; TheirStack gives you a qualified account and the technical reason it fits. The two combine well and neither substitutes for the other.

Full TheirStack vs Trigify comparison

Implementation & onboarding

Setup time
Twenty minutes to a first list. Sign up, spend free credits on a query against your best-guess ICP, and read the source postings to see whether the extraction is catching what you expected. API integration is another afternoon.
Learning curve
Low for the app, moderate for the judgement. The filters are straightforward; the skill is learning which technology mentions actually indicate ownership rather than aspiration, and building filters that exclude recruitment agency postings.
Onboarding
Entirely self-serve at every tier, including the API. There is no sales call, no implementation fee, and no minimum term on the one-time packs.
Migration notes
Nothing to import. On exit, exported CSVs are yours and the one-time pack model means there is nothing to cancel if you bought credits outright. Saved searches and alert definitions do not port to another vendor, but they are cheap to rebuild.

Platform, API & security

Platforms
Web applicationREST APIs for jobs, companies, technographics, and buying intentsMCP serversCSV export
API
Job search, company search, company lookup, enrichment, technographics, and buying intents APIs, all drawing on the same credit balance as the web app, plus job posting and technographics MCP servers for AI assistants.
Compliance
Job posting data is published business information rather than personal data, which keeps privacy exposure lowNo publicly advertised SOC 2 attestation
Data residency
Not published.
SSO
Not advertised on the published tiers.
Security notes
The corpus is aggregated from publicly posted job advertisements, so the dataset itself carries little personal data. The compliance question shifts to whichever contact database you pair it with to find humans at the companies you identify.

Support & resources

Channels
Email supportIn-app chat
Documentation
Detailed API reference covering job search, company search, technographics, and enrichment endpoints, plus data source pages documenting which boards and platforms feed the corpus.
Community
No formal user forum; the company publishes comparison and methodology posts covering job posting data providers.

Company

Founded
2021
Headquarters
Barcelona, Spain
Ownership
Privately held
Founders
Xoel Lopez Barata, Christian Palou
Employees
Not disclosed; a small engineering-led team
Funding
No major venture round publicly disclosed.

Timeline

  1. 2021Xoel Lopez Barata and Christian Palou start TheirStack in Barcelona, on the premise that job postings are a better technographic source than website crawls, because internal software never appears in public HTML.
  2. 2023The job posting corpus scales past a hundred million records and the technographics extraction layer is exposed as its own API.
  3. 2024Buying intents becomes a distinct dataset, extracting purchase-implying language from postings rather than only named tools.
  4. 2025Ingestion reaches roughly 300,000 postings a day from more than 350,000 sources across 195 countries.
  5. 2026MCP servers for job postings and technographics ship, and one-time credit packs are offered alongside monthly subscriptions with no per-seat charge.

Integrations

  • Job postings API
  • Technographics API
  • Buying intents API
  • Company search and enrichment API
  • Job posting MCP server
  • Technographics MCP server
  • CSV export
  • Email alerts on saved searches

Frequently asked questions

10 questions

What is TheirStack?

TheirStack is a hiring and technographic signal platform. It ingests over 225 million job postings from more than 350,000 sources across 195 countries and uses natural language processing to extract which of over 33,000 technologies each company runs, what roles it is hiring for, and what buying intent that implies. You query it through a web app, CSV exports, several APIs, or MCP servers.

How much does TheirStack cost?

There is a free credit allowance on signup. Monthly subscriptions start at $49 for 1,500 credits and run through $100 for 5,000, $169 for 10,000, $240 for 20,000, and $400 for 50,000, scaling to $5,500 for 5,000,000. One-time packs with no subscription start at $109 for 1,000 credits and go to $999 for 200,000. There is no per-seat charge and unlimited team members are included.

Which signal does TheirStack own?

Hiring and job postings, and the technology inferences drawn from them. That covers two things at once: which roles a company is opening, which is a budget and growth signal, and which tools those postings name, which is a technographic signal you cannot get any other way for internal software.

How fresh is the data and how stale can a record get?

Roughly 300,000 new postings are ingested every day, so a newly opened requisition typically appears within about a day. That is the best freshness in this category. The staleness problem runs the other way: a technology mention from a posting eighteen months ago sits in the company profile indefinitely, and the company may have replaced that tool since. Filter on recent postings rather than on the all-time company profile if currency matters.

How often is the technology inference wrong?

Often enough that you should design around it. The three common false positives are a tool the company is migrating away from and wants help decommissioning, a tool named as nice-to-have that nobody actually uses, and a recruitment agency posting where the named company is the agency and not the employer. The mitigation is built in: every record links to the source posting, so before a rep calls, someone reads the sentence. In volume the signal is strong; on any single record it deserves ten seconds of checking.

Could I gather this signal free from a public source?

In principle yes, and that is worth being honest about. Job postings are public. You could search a major job board for a technology name and read the results at no cost. What you cannot do free is search 225 million historical postings across 350,000 sources at once, get structured company domains attached, filter by salary and seniority and firmographics in the same query, or hit it from an API. Manual board searches work for a handful of accounts; they collapse the moment you want a list.

Is the output a dashboard or an actual routed task?

It is a query surface with exports and APIs, not an orchestration layer. You get search results, CSV downloads, email alerts on saved searches, and programmatic access. There is no lead scoring, no sequencer, and no native CRM push. If you want signals to land as tasks in front of a rep, you build that step yourself or pair TheirStack with something like Clay.

Are exports limited, and does the API cost extra?

Exports draw on your credit balance rather than a separate export cap, and pagination is 500 results per page with unlimited pages. The API costs nothing extra: app queries and API calls consume the same credits, which is unusual and is one of the strongest arguments for TheirStack over vendors that sell the API as a distinct product.

Is TheirStack better than BuiltWith?

They see different things, so better depends entirely on what you sell. BuiltWith observes what actually renders on a website and has eighteen years of dated install history; it is more reliable for anything with a browser-visible footprint. TheirStack infers from text but can see Snowflake, NetSuite, Workday, and internal systems that will never appear in HTML. If your product is one of those, BuiltWith cannot help you at any price and TheirStack starts at $49.

Does TheirStack give me contacts to email?

No. The unit of data is a job posting and a company, with a domain attached. Finding a named person at that company is a separate problem and needs a separate vendor. Budget for a contact database alongside it, and note that the compliance burden for emailing individuals lands on that vendor and on you, not on TheirStack, whose corpus is public business information.

Editorial verdict

TheirStack is the best-priced serious signal tool in this category and the only sensible option if the software you sell lives somewhere a crawler cannot reach. Reading job ads rather than websites is not a clever workaround, it is a structurally better view of a company's internal stack, and 300,000 new postings a day gives it a freshness advantage that weekly-crawl vendors cannot close. Buy the $109 one-time pack first and check whether your buyers actually post job ads, because if they do not, nothing else about the product matters. If they do, the $169 monthly plan with unlimited seats and the API included is a genuinely cheap foundation for an account-selection motion. Just build the verification habit early: this is inference, every record links to the posting it came from, and the teams that read the source before dialling get very different results from the ones that trust the label.

Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.