{"id":1494,"date":"2026-07-02T13:05:00","date_gmt":"2026-07-02T13:05:00","guid":{"rendered":"https:\/\/blog.predictleads.com\/?p=1494"},"modified":"2026-10-22T09:45:55","modified_gmt":"2026-10-22T09:45:55","slug":"theirstack-alternatives","status":"publish","type":"post","link":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/","title":{"rendered":"Best TheirStack Alternatives for Technographic and Job Data (October 2026)"},"content":{"rendered":"\n<p>The strongest TheirStack alternative in October 2026 is PredictLeads. It pairs technology evidence from job descriptions with website, DNS, IP-range, and cookie detection, and it adds Job Openings, Financing Events, and News Events in the same API.<\/p>\n\n<p>Most teams adopt TheirStack because job postings expose backend tools that website scanners miss. Then they hit the limit of a single evidence type. A job ad shows that a company wants a skill. It does not show whether the tool appears in the company&#8217;s DNS records, or whether the account raised a round last month. The fix is to treat job-posting detections as one input in a stack of signals. These are the TheirStack alternatives worth evaluating, scored on six public criteria.<\/p>\n\n<p><strong>TLDR:<\/strong><\/p>\n<ul>\n  <li>The right TheirStack alternative depends on which part of TheirStack you use: job-posting technographics, the raw job postings feed, or both.<\/li>\n  <li>Job-posting technographics surface backend tools that website scanners miss. A job ad is still evidence of a hiring requirement, and a matching website or DNS detection makes it stronger supporting evidence of use.<\/li>\n  <li>Most alternatives cover one signal type: website detection (BuiltWith, Wappalyzer) or raw job postings (Coresignal, LinkUp). None of the others in this comparison pairs multi-source technology detection with hiring, funding, and news events in a single API.<\/li>\n  <li>Sumble and HG Insights focus on enterprise account context, such as team-level projects and modeled IT spend, rather than bulk historical datasets.<\/li>\n  <li>PredictLeads tracks 240,000+ technologies across 99M+ companies, with 2B+ detections since 2018, plus 279.2M+ job records. All of it is delivered via API, flat files, webhooks, and MCP.<\/li>\n<\/ul>\n\n<h2>What Is TheirStack?<\/h2>\n\n<p>TheirStack is a job postings and technographics database. It infers technology adoption from the tools named in job ads, then sells those detections and the underlying postings as hiring and technology signals. A <a href=\"https:\/\/syncgtm.com\/blog\/theirstack-review\" target=\"_blank\" rel=\"noopener\">2026 third-party review of TheirStack<\/a> says it indexes 180M+ job postings from 325,000+ sources and tracks 32,000+ technologies across 11M+ companies. The same review lists a free tier, credit-based plans, a REST API, webhooks, and CSV export. TheirStack&#8217;s own docs list newer, slightly higher counts.<\/p>\n\n<p>When you replace TheirStack, you replace up to four data types:<\/p>\n<ul>\n  <li><strong>Job-posting technographics:<\/strong> technologies extracted from job descriptions, often backend tools that never appear on a public website.<\/li>\n  <li><strong>Job postings data:<\/strong> the postings themselves, with titles, descriptions, locations, and dates.<\/li>\n  <li><strong>Hiring signals:<\/strong> surges in postings for a team, role, or skill over a set window.<\/li>\n  <li><strong>Buying-intent signals:<\/strong> pain points and initiatives inferred from the language in job ads.<\/li>\n<\/ul>\n\n<h3>What TheirStack Does Well<\/h3>\n\n<p>TheirStack detects backend tools that website crawlers cannot see, such as data warehouses and streaming platforms that only show up in hiring language. Each detection links back to its source posting, so the evidence is easy to quote in outreach. Low entry pricing and a self-serve app suit small teams that need ad hoc lookups.<\/p>\n\n<h3>Why Teams Look for TheirStack Alternatives<\/h3>\n\n<p>Teams usually start looking when they need a second evidence type or a third signal. The review flags these constraints:<\/p>\n<ul>\n  <li>Detection depends on explicit job-posting language, so a company that is not hiring for a tool leaves no trace.<\/li>\n  <li>Accuracy and coverage are lower for non-English postings and for markets outside English-speaking regions.<\/li>\n  <li>It does not crawl websites, so the same provider has no script, DNS, or cookie detection to back up a mention in a job ad.<\/li>\n  <li>It covers hiring, technographic, and buying-intent signals, but not funding.<\/li>\n<\/ul>\n<p>For the wider category, see our ranking of the <a href=\"https:\/\/predictleads.com\/blog\/best-technographic-data-providers-2026\/\">best technographic data providers<\/a>. PredictLeads captures the same job-description evidence through the <code>seen_on_job_openings<\/code> field on Technology Detections.<\/p>\n\n<h2>How We Ranked These TheirStack Alternatives<\/h2>\n\n<p>We scored each provider on six dimensions that matter when you replace a job-posting technographics tool:<\/p>\n<ol>\n  <li><strong>Detection sources:<\/strong> how many independent evidence types back a technology detection, such as job descriptions, website scripts, DNS records, IP ranges, and cookies.<\/li>\n  <li><strong>Job postings depth:<\/strong> historical record count, company coverage, and normalization. These are the same criteria we use to compare <a href=\"https:\/\/predictleads.com\/blog\/top-5-job-data-providers-2026\/\">job data providers<\/a>.<\/li>\n  <li><strong>Historical timestamps:<\/strong> whether records carry first-seen and last-seen dates, so you can time adoption and measure hiring velocity.<\/li>\n  <li><strong>Signal variety:<\/strong> whether funding, news, company relationships, and lookalikes come from the same provider.<\/li>\n  <li><strong>Delivery methods:<\/strong> API, bulk files for a warehouse, push webhooks, and MCP for AI agents.<\/li>\n  <li><strong>Source transparency:<\/strong> whether each record shows where its evidence came from, which is central to <a href=\"https:\/\/predictleads.com\/blog\/technographic-data-accuracy\/\">technographic data accuracy<\/a>.<\/li>\n<\/ol>\n<p>Scores come from public documentation and neutral third-party reviews available in October 2026, not hands-on testing. Where a vendor did not publish enough detail to score a dimension, we noted it as a gap instead of guessing at a number. For job normalization, the reference standard is O*NET, the occupational taxonomy sponsored by the U.S. Department of Labor and published by the <a href=\"https:\/\/www.onetcenter.org\/\" target=\"_blank\" rel=\"noopener\">O*NET Resource Center<\/a>.<\/p>\n\n<h2>Best Overall TheirStack Alternative: PredictLeads<\/h2>\n\n<p>PredictLeads is a B2B company intelligence and technographic data provider. It turns public company activity into structured, source-backed datasets. It is a data layer, not a prospecting app, so it fits teams that send signals into a CRM, a warehouse, Clay, or an AI agent.<\/p>\n\n<h3>What PredictLeads Offers<\/h3>\n<ul>\n  <li><strong><a href=\"https:\/\/predictleads.com\/technologies\">Technology Detections<\/a>:<\/strong> 2B+ detections since 2018 across 99M+ companies and 240,000+ technologies. Evidence comes from script tags, DNS records, IP ranges, cookies, and job descriptions. This covers TheirStack&#8217;s technographics and adds website-level corroboration.<\/li>\n  <li><strong><a href=\"https:\/\/predictleads.com\/job_listings\">Job Openings<\/a>:<\/strong> 279.2M+ records since 2018 from 2.9M+ companies, with 10.2M active openings at any time. Each opening is tagged with O*NET codes and <code>seniority<\/code>.<\/li>\n  <li><strong>Financing Events:<\/strong> 210,800+ events since 2016, normalized from <code>pre_angel<\/code> through <code>series_j<\/code>, so you can see which hiring accounts just raised.<\/li>\n  <li><strong>News Events:<\/strong> 10M+ events since 2016 across 37 categories, including <code>launches<\/code>, <code>integrates_with<\/code>, and <code>increases_headcount_by<\/code>.<\/li>\n  <li><strong>Connections:<\/strong> 371.8M+ company relationships since 2019, covering customers, vendors, partners, and integrations.<\/li>\n  <li><strong>Similar Companies:<\/strong> lookalikes for 18.9M+ companies, up to 50 per company, with a text reason for each of the top 20.<\/li>\n<\/ul>\n\n<figure style=\"margin:32px 0;\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 960 330\" width=\"100%\" role=\"img\" aria-labelledby=\"plStatsTitle plStatsDesc\" style=\"max-width:960px;height:auto;display:block;font-family:'Poppins','Segoe UI',system-ui,sans-serif;\">\n  <title id=\"plStatsTitle\">PredictLeads by the numbers<\/title>\n  <desc id=\"plStatsDesc\">Six stat tiles: 2B+ technology detections since 2018, 240,000+ technologies tracked, 99M+ companies with detections, 279.2M+ job records since 2018, 210,800+ financing events since 2016, and 371.8M+ company connections since 2019.<\/desc>\n  <rect x=\"0\" y=\"0\" width=\"960\" height=\"330\" rx=\"18\" fill=\"#f3ecf8\"><\/rect>\n  <text x=\"40\" y=\"52\" font-size=\"24\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\">PredictLeads by the numbers<\/text>\n  <g>\n    <rect x=\"40\" y=\"76\" width=\"280\" height=\"96\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n    <text x=\"64\" y=\"124\" font-size=\"34\" font-weight=\"800\" fill=\"#76508e\">2B+<\/text>\n    <text x=\"64\" y=\"154\" font-size=\"14\" font-weight=\"600\" fill=\"#3a2f4d\">technology detections since 2018<\/text>\n  <\/g>\n  <g>\n    <rect x=\"340\" y=\"76\" width=\"280\" height=\"96\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n    <text x=\"364\" y=\"124\" font-size=\"34\" font-weight=\"800\" fill=\"#76508e\">240,000+<\/text>\n    <text x=\"364\" y=\"154\" font-size=\"14\" font-weight=\"600\" fill=\"#3a2f4d\">technologies tracked<\/text>\n  <\/g>\n  <g>\n    <rect x=\"640\" y=\"76\" width=\"280\" height=\"96\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n    <text x=\"664\" y=\"124\" font-size=\"34\" font-weight=\"800\" fill=\"#76508e\">99M+<\/text>\n    <text x=\"664\" y=\"154\" font-size=\"14\" font-weight=\"600\" fill=\"#3a2f4d\">companies with detections<\/text>\n  <\/g>\n  <g>\n    <rect x=\"40\" y=\"190\" width=\"280\" height=\"96\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n    <text x=\"64\" y=\"238\" font-size=\"34\" font-weight=\"800\" fill=\"#76508e\">279.2M+<\/text>\n    <text x=\"64\" y=\"268\" font-size=\"14\" font-weight=\"600\" fill=\"#3a2f4d\">job records since 2018<\/text>\n  <\/g>\n  <g>\n    <rect x=\"340\" y=\"190\" width=\"280\" height=\"96\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n    <text x=\"364\" y=\"238\" font-size=\"34\" font-weight=\"800\" fill=\"#76508e\">210,800+<\/text>\n    <text x=\"364\" y=\"268\" font-size=\"14\" font-weight=\"600\" fill=\"#3a2f4d\">financing events since 2016<\/text>\n  <\/g>\n  <g>\n    <rect x=\"640\" y=\"190\" width=\"280\" height=\"96\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n    <text x=\"664\" y=\"238\" font-size=\"34\" font-weight=\"800\" fill=\"#76508e\">371.8M+<\/text>\n    <text x=\"664\" y=\"268\" font-size=\"14\" font-weight=\"600\" fill=\"#3a2f4d\">company connections since 2019<\/text>\n  <\/g>\n  <text x=\"40\" y=\"314\" font-size=\"13\" font-weight=\"600\" fill=\"#5b3d70\">Source: PredictLeads dataset coverage, 2026. Figures rounded.<\/text>\n<\/svg>\n<\/figure>\n\n<h3>Why the Combination Wins<\/h3>\n\n<p>PredictLeads is the only provider in this comparison that publishes five detection sources, job descriptions among them, and also ships hiring, funding, and news events through the same API. TheirStack shows that a company is hiring for a skill. A PredictLeads Technology Detection shows that too. It also shows how many sources back the detection (<code>source_count<\/code>), whether the evidence came from outside the public website (<code>behind_firewall<\/code>), and when it was first and last seen (<code>first_seen_at<\/code>, <code>last_seen_at<\/code>).<\/p>\n\n<p>Job openings also make detection more accurate. A tool named in a job description is evidence of a hiring requirement, and a matching script or DNS detection turns it into stronger supporting evidence of current use. Our guide to <a href=\"https:\/\/predictleads.com\/blog\/job-openings-data-technographics\/\">combining job openings data with technographics<\/a> walks through the method.<\/p>\n\n<figure style=\"margin:32px 0;\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 960 420\" width=\"100%\" role=\"img\" aria-labelledby=\"plSrcTitle plSrcDesc\" style=\"max-width:960px;height:auto;display:block;font-family:'Poppins','Segoe UI',system-ui,sans-serif;\">\n  <title id=\"plSrcTitle\">Five evidence types, one Technology Detection record<\/title>\n  <desc id=\"plSrcDesc\">Diagram: script tags, DNS records, IP ranges, cookies, and job descriptions all feed one PredictLeads Technology Detection record, which carries the fields technology and company, behind_firewall, source_count, first_seen_at and last_seen_at, and detection_source in the Extended version. Job descriptions are highlighted as the single evidence type used by job-posting technographics tools.<\/desc>\n  <rect x=\"0\" y=\"0\" width=\"960\" height=\"420\" rx=\"18\" fill=\"#f3ecf8\"><\/rect>\n  <text x=\"40\" y=\"50\" font-size=\"22\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\">Five evidence types, one Technology Detection record<\/text>\n  <g fill=\"none\" stroke=\"#b79fcb\" stroke-width=\"2\">\n    <path d=\"M280 103 C420 103 420 215 560 215\"><\/path>\n    <path d=\"M280 163 C420 163 420 215 560 215\"><\/path>\n    <path d=\"M280 223 C420 223 420 215 560 215\"><\/path>\n    <path d=\"M280 283 C420 283 420 215 560 215\"><\/path>\n  <\/g>\n  <path d=\"M280 343 C420 343 420 215 560 215\" fill=\"none\" stroke=\"#76508e\" stroke-width=\"3\"><\/path>\n  <rect x=\"40\" y=\"80\" width=\"240\" height=\"46\" rx=\"23\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <text x=\"160\" y=\"109\" text-anchor=\"middle\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">Script tags<\/text>\n  <rect x=\"40\" y=\"140\" width=\"240\" height=\"46\" rx=\"23\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <text x=\"160\" y=\"169\" text-anchor=\"middle\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">DNS records<\/text>\n  <rect x=\"40\" y=\"200\" width=\"240\" height=\"46\" rx=\"23\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <text x=\"160\" y=\"229\" text-anchor=\"middle\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">IP ranges<\/text>\n  <rect x=\"40\" y=\"260\" width=\"240\" height=\"46\" rx=\"23\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <text x=\"160\" y=\"289\" text-anchor=\"middle\" font-size=\"16\" font-weight=\"700\" fill=\"#3a2f4d\">Cookies<\/text>\n  <rect x=\"40\" y=\"320\" width=\"240\" height=\"46\" rx=\"23\" fill=\"#76508e\"><\/rect>\n  <text x=\"160\" y=\"349\" text-anchor=\"middle\" font-size=\"16\" font-weight=\"700\" fill=\"#ffffff\">Job descriptions<\/text>\n  <rect x=\"560\" y=\"96\" width=\"360\" height=\"238\" rx=\"16\" fill=\"#ffffff\" stroke=\"#76508e\" stroke-width=\"2\"><\/rect>\n  <path d=\"M560 112 a16 16 0 0 1 16 -16 h328 a16 16 0 0 1 16 16 v34 h-360 z\" fill=\"#76508e\"><\/path>\n  <text x=\"584\" y=\"128\" font-size=\"18\" font-weight=\"800\" fill=\"#ffffff\">Technology Detection<\/text>\n  <g font-family=\"Consolas,'Courier New',monospace\" font-size=\"15\" font-weight=\"600\" fill=\"#3a2f4d\">\n    <text x=\"584\" y=\"180\">technology + company<\/text>\n    <text x=\"584\" y=\"212\">behind_firewall: true | false<\/text>\n    <text x=\"584\" y=\"244\">source_count<\/text>\n    <text x=\"584\" y=\"276\">first_seen_at \/ last_seen_at<\/text>\n    <text x=\"584\" y=\"308\">detection_source (Extended)<\/text>\n  <\/g>\n  <text x=\"40\" y=\"396\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">Job-posting technographics draw on one of these five evidence types. PredictLeads combines all five.<\/text>\n<\/svg>\n<\/figure>\n\n<h3>Keep in Mind<\/h3>\n\n<p>PredictLeads does not supply contact records such as emails or phone numbers, and it has no outreach interface. You use the data through the API, flat files, webhooks, or MCP, or through native integrations with Clay, Make, and n8n.<\/p>\n\n<h2>BuiltWith: Website Technology Profiling<\/h2>\n\n<p><a href=\"https:\/\/predictleads.com\/blog\/best-builtwith-alternatives\/\">BuiltWith<\/a> profiles the technologies detected on public websites and builds lead lists by technology.<\/p>\n<p><strong>What They Offer<\/strong><\/p>\n<ul>\n  <li>Domain lookups with current and historical technology usage<\/li>\n  <li>Lead lists filtered by technology, keyword, or e-commerce platform<\/li>\n  <li>Paid plans for bulk downloads and API access<\/li>\n<\/ul>\n<p><strong>Good for:<\/strong> marketing, agency, and e-commerce teams that research web-platform technologies across large domain lists. G2 reviewers value its lookups for lead generation.<\/p>\n<p><strong>Limitation:<\/strong> detection is website-based. Backend tools that only appear in job descriptions are harder to see, and those tools are the main reason teams pick TheirStack. It has no job postings or funding data.<\/p>\n<p><strong>Bottom line:<\/strong> PredictLeads keeps website detection and adds job-description evidence plus 279.2M+ job records since 2018.<\/p>\n<p><strong>Sources:<\/strong> <a href=\"https:\/\/www.g2.com\/products\/builtwith\/reviews\" target=\"_blank\" rel=\"noopener\">BuiltWith reviews on G2<\/a><\/p>\n\n<h2>Wappalyzer: Browser-Based Technology Lookup<\/h2>\n\n<p><a href=\"https:\/\/predictleads.com\/blog\/best-wappalyzer-alternatives\/\">Wappalyzer<\/a> identifies website technologies through a browser extension and a lookup API.<\/p>\n<p><strong>What They Offer<\/strong><\/p>\n<ul>\n  <li>A browser extension that shows a site&#8217;s stack in one click<\/li>\n  <li>Bulk technology lookups through an API<\/li>\n  <li>Lead lists built from technology filters<\/li>\n<\/ul>\n<p><strong>Good for:<\/strong> developers, marketers, and SEO teams who want instant single-site checks. G2 reviewers highlight its ease of use.<\/p>\n<p><strong>Limitation:<\/strong> it sees only what a site exposes publicly, and it has no job postings data to back up backend tools. Historical depth is not published.<\/p>\n<p><strong>Bottom line:<\/strong> PredictLeads adds DNS, IP-range, cookie, and job-description evidence across 99M+ companies, with timestamps back to 2018.<\/p>\n<p><strong>Sources:<\/strong> <a href=\"https:\/\/www.g2.com\/products\/wappalyzer\/reviews\" target=\"_blank\" rel=\"noopener\">Wappalyzer reviews on G2<\/a><\/p>\n\n<h2>HG Insights: Enterprise Technographics and IT Spend<\/h2>\n\n<p>HG Insights sells technographic intelligence plus modeled IT spend to enterprise go-to-market teams.<\/p>\n<p><strong>What They Offer<\/strong><\/p>\n<ul>\n  <li>Technographic data focused on enterprise accounts<\/li>\n  <li>Modeled IT spend by technology category<\/li>\n  <li>Account scoring and CRM integrations<\/li>\n<\/ul>\n<p><strong>Good for:<\/strong> enterprise sellers whose territory planning depends on estimated IT budgets in categories such as cloud, security, and CRM.<\/p>\n<p><strong>Limitation:<\/strong> pricing is not published, and the product centers on enterprise accounts. Per-detection source evidence and a standalone historical job postings dataset are not published either, so we scored those as gaps.<\/p>\n<p><strong>Bottom line:<\/strong> PredictLeads publishes pay-as-you-go API pricing and covers 120M+ companies, not only the enterprise tier.<\/p>\n<p><strong>Sources:<\/strong> <a href=\"https:\/\/www.g2.com\/products\/hg-insights\/reviews\" target=\"_blank\" rel=\"noopener\">HG Insights reviews on G2<\/a><\/p>\n\n<h2>Sumble: Team-Level Account Intelligence<\/h2>\n\n<p>Sumble builds a knowledge graph from job postings, company websites, and social media to show which teams use which technologies inside an account.<\/p>\n<p><strong>What They Offer<\/strong><\/p>\n<ul>\n  <li>Technologies in use, mapped to the teams that use them<\/li>\n  <li>Active projects, hiring teams, and likely decision-makers<\/li>\n  <li>Natural-language search, alerts, a web app, and an API<\/li>\n<\/ul>\n<p><strong>Good for:<\/strong> enterprise account executives who want team-level context on known accounts before a first meeting, such as which group is driving a data platform project.<\/p>\n<p><strong>Limitation:<\/strong> it is built for depth inside known accounts, not bulk, market-wide history. Record counts, history depth, and standalone funding or news datasets are not published.<\/p>\n<p><strong>Bottom line:<\/strong> for market-wide discovery, PredictLeads offers 2B+ technology detections since 2018 and 210,800+ Financing Events to time outreach.<\/p>\n<p><strong>Sources:<\/strong> <a href=\"https:\/\/siliconangle.com\/2025\/10\/22\/sumble-launches-38-5m-expand-ai-powered-go-market-intelligence-platform\" target=\"_blank\" rel=\"noopener\">SiliconANGLE coverage of Sumble&#8217;s launch<\/a><\/p>\n\n<h2>Coresignal: Raw Job Postings and Employee Data<\/h2>\n\n<p>Coresignal sells large public-web datasets on companies, employees, and job postings to data teams.<\/p>\n<p><strong>What They Offer<\/strong><\/p>\n<ul>\n  <li>420M+ job posting records, per an April 2026 independent review<\/li>\n  <li>Company and employee datasets with hundreds of fields each<\/li>\n  <li>API access plus bulk files in JSON, JSONL, CSV, or Parquet<\/li>\n<\/ul>\n<p><strong>Good for:<\/strong> data engineering and research teams that train models or build workforce analytics on very large raw job and employee datasets.<\/p>\n<p><strong>Limitation:<\/strong> the reviewed datasets include no dedicated technology detection product, so you would have to extract technographics from job text yourself. Dataset pricing is custom.<\/p>\n<p><strong>Bottom line:<\/strong> PredictLeads already turns job descriptions into Technology Detections across 240,000+ technologies and tags every job with O*NET codes.<\/p>\n<p><strong>Sources:<\/strong> <a href=\"https:\/\/proxyway.com\/reviews\/coresignal-review\" target=\"_blank\" rel=\"noopener\">Proxyway&#8217;s Coresignal review<\/a><\/p>\n\n<h2>LinkUp: Employer-Sourced Job Postings<\/h2>\n\n<p><a href=\"https:\/\/predictleads.com\/blog\/linkup-alternatives\/\">LinkUp<\/a> indexes job postings directly from employer websites and sells the history as a data feed.<\/p>\n<p><strong>What They Offer<\/strong><\/p>\n<ul>\n  <li>Job postings history back to 2007<\/li>\n  <li>Daily delivery of job records, descriptions, and company reference data<\/li>\n  <li>Free samples on request<\/li>\n<\/ul>\n<p><strong>Good for:<\/strong> investors and labor-market researchers who need a long, employer-direct job history for hiring models.<\/p>\n<p><strong>Limitation:<\/strong> it is a jobs-only dataset with no technology detections, so it does not replace the technographic half of TheirStack. Pricing is not published.<\/p>\n<p><strong>Bottom line:<\/strong> PredictLeads pairs 279.2M+ job records since 2018 with 2B+ technology detections, so both halves of TheirStack come from one provider.<\/p>\n<p><strong>Sources:<\/strong> <a href=\"https:\/\/datarade.ai\/data-providers\/linkup\/profile\" target=\"_blank\" rel=\"noopener\">LinkUp profile on Datarade<\/a><\/p>\n\n<h2>TheirStack Alternatives Feature Comparison<\/h2>\n\n<p>The table scores each provider on the six ranking dimensions, with TheirStack as the baseline. &#8220;Not published&#8221; marks a gap in public documentation, not a confirmed absence.<\/p>\n\n<div style=\"overflow-x:auto;margin:24px 0;\">\n<table style=\"width:100%;min-width:860px;border-collapse:collapse;font-size:14px;line-height:1.45;color:#3a2f4d;border:1px solid #ece0f5;\">\n  <caption style=\"caption-side:bottom;text-align:left;font-size:13px;color:#5b3d70;padding-top:10px;\">Figures marked * come from the third-party sources linked in each section, not from PredictLeads. PredictLeads figures are rounded and current as of October 2026.<\/caption>\n  <thead>\n    <tr style=\"background:#76508e;color:#ffffff;\">\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Provider<\/th>\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Detection sources<\/th>\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Job postings data<\/th>\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Historical timestamps<\/th>\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Signals beyond tech and jobs<\/th>\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Delivery<\/th>\n      <th scope=\"col\" style=\"padding:12px;text-align:left;\">Source transparency<\/th>\n    <\/tr>\n  <\/thead>\n  <tbody>\n    <tr style=\"background:#efe4f6;font-weight:600;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;color:#76508e;\">PredictLeads<\/th>\n      <td style=\"padding:12px;\">Yes &#8211; 5 sources: scripts, DNS, IP ranges, cookies, job descriptions<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; 279.2M+ records since 2018<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; first_seen_at \/ last_seen_at since 2018<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; funding, news, connections, lookalikes<\/td>\n      <td style=\"padding:12px;\">API, flat files, webhooks, MCP<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; every detection links to its source<\/td>\n    <\/tr>\n    <tr style=\"background:#ffffff;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">TheirStack (baseline)<\/th>\n      <td style=\"padding:12px;\">Partial &#8211; job postings only*<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; 180M+ postings indexed*<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; job history; technology-level dates not published<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; hiring and buying intent; no funding*<\/td>\n      <td style=\"padding:12px;\">API, webhooks, datasets, CSV*<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; detections link to source postings*<\/td>\n    <\/tr>\n    <tr style=\"background:#f3ecf8;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">BuiltWith<\/th>\n      <td style=\"padding:12px;\">Partial &#8211; website crawl<\/td>\n      <td style=\"padding:12px;\">No<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; historical usage<\/td>\n      <td style=\"padding:12px;\">No<\/td>\n      <td style=\"padding:12px;\">Web app, lists, API<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n    <\/tr>\n    <tr style=\"background:#ffffff;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">Wappalyzer<\/th>\n      <td style=\"padding:12px;\">Partial &#8211; website scans<\/td>\n      <td style=\"padding:12px;\">No<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n      <td style=\"padding:12px;\">No<\/td>\n      <td style=\"padding:12px;\">Browser extension, API, lists<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n    <\/tr>\n    <tr style=\"background:#f3ecf8;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">HG Insights<\/th>\n      <td style=\"padding:12px;\">Not published<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; modeled IT spend<\/td>\n      <td style=\"padding:12px;\">Platform, CRM integrations<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n    <\/tr>\n    <tr style=\"background:#ffffff;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">Sumble<\/th>\n      <td style=\"padding:12px;\">Partial &#8211; job postings, websites, social*<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; used as an input; feed not published<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; teams, projects, decision-makers<\/td>\n      <td style=\"padding:12px;\">Web app, API<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n    <\/tr>\n    <tr style=\"background:#f3ecf8;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">Coresignal<\/th>\n      <td style=\"padding:12px;\">No dedicated detection dataset*<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; 420M+ records*<\/td>\n      <td style=\"padding:12px;\">Not published<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; company and employee data<\/td>\n      <td style=\"padding:12px;\">API, bulk files (JSON, JSONL, CSV, Parquet)<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; sources described at dataset level*<\/td>\n    <\/tr>\n    <tr style=\"background:#ffffff;\">\n      <th scope=\"row\" style=\"padding:12px;text-align:left;\">LinkUp<\/th>\n      <td style=\"padding:12px;\">No<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; employer-sourced since 2007*<\/td>\n      <td style=\"padding:12px;\">Yes &#8211; daily history since 2007*<\/td>\n      <td style=\"padding:12px;\">No<\/td>\n      <td style=\"padding:12px;\">Data feed, pricing on request<\/td>\n      <td style=\"padding:12px;\">Partial &#8211; employer websites only*<\/td>\n    <\/tr>\n  <\/tbody>\n<\/table>\n<\/div>\n\n<h2>Why PredictLeads Is the Best TheirStack Alternative<\/h2>\n\n<p>PredictLeads replaces both halves of TheirStack, the job-posting technographics and the job postings feed, and adds the signals that tell you when to act.<\/p>\n\n<h3>A Worked Example: Tech, Hiring, and Funding in One Pass<\/h3>\n\n<p>Say you sell a data observability product. You want accounts that show evidence of a cloud data warehouse, are hiring data engineers, and recently raised money.<\/p>\n<ol>\n  <li>Pull Technology Detections for the warehouse through the technology discovery endpoint (try it in the <a href=\"https:\/\/docs.predictleads.com\/swagger\" target=\"_blank\" rel=\"noopener\">API playground<\/a>). Keep records backed by more than one source (<code>source_count<\/code>).<\/li>\n  <li>Filter to accounts with active Job Openings for data engineering roles, using O*NET codes and <code>seniority<\/code>.<\/li>\n  <li>Layer on Financing Events from the last two quarters, such as <code>series_a<\/code> through <code>series_c<\/code>.<\/li>\n<\/ol>\n<p>TheirStack can cover the first two steps from job postings. The third step needs a second vendor, because TheirStack has no funding signals. With PredictLeads, all three filters query the same company domain with one API key. A <code>first_seen_at<\/code> date 10 to 11 months old can also point to an approaching renewal window. That is the play behind <a href=\"https:\/\/predictleads.com\/blog\/time-outreach-renewal-windows\/\">timing outreach around tech renewal windows<\/a>.<\/p>\n\n<figure style=\"margin:32px 0;\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 960 270\" width=\"100%\" role=\"img\" aria-labelledby=\"plFlowTitle plFlowDesc\" style=\"max-width:960px;height:auto;display:block;font-family:'Poppins','Segoe UI',system-ui,sans-serif;\">\n  <title id=\"plFlowTitle\">One API, three filters<\/title>\n  <desc id=\"plFlowDesc\">Three-step workflow: step 1, find technology evidence with Technology Detections filtered by source_count; step 2, filter to hiring accounts with Job Openings by O*NET code and seniority; step 3, layer funding with Financing Events by round type and date. All three join on the same company domain.<\/desc>\n  <rect x=\"0\" y=\"0\" width=\"960\" height=\"270\" rx=\"18\" fill=\"#f3ecf8\"><\/rect>\n  <text x=\"40\" y=\"48\" font-size=\"22\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\">One API, three filters<\/text>\n  <rect x=\"40\" y=\"72\" width=\"260\" height=\"150\" rx=\"16\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <circle cx=\"76\" cy=\"110\" r=\"18\" fill=\"#76508e\"><\/circle>\n  <text x=\"76\" y=\"116\" text-anchor=\"middle\" font-size=\"17\" font-weight=\"800\" fill=\"#ffffff\">1<\/text>\n  <text x=\"106\" y=\"116\" font-size=\"17\" font-weight=\"800\" fill=\"#3a2f4d\">Find tech evidence<\/text>\n  <text x=\"62\" y=\"160\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">Technology Detections<\/text>\n  <text x=\"62\" y=\"184\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">filtered by source_count<\/text>\n  <g fill=\"#76508e\"><rect x=\"308\" y=\"145\" width=\"26\" height=\"4\"><\/rect><polygon points=\"334,139 346,147 334,155\"><\/polygon><\/g>\n  <rect x=\"350\" y=\"72\" width=\"260\" height=\"150\" rx=\"16\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <circle cx=\"386\" cy=\"110\" r=\"18\" fill=\"#76508e\"><\/circle>\n  <text x=\"386\" y=\"116\" text-anchor=\"middle\" font-size=\"17\" font-weight=\"800\" fill=\"#ffffff\">2<\/text>\n  <text x=\"416\" y=\"116\" font-size=\"17\" font-weight=\"800\" fill=\"#3a2f4d\">Filter to hiring<\/text>\n  <text x=\"372\" y=\"160\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">Job Openings by O*NET<\/text>\n  <text x=\"372\" y=\"184\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">code and seniority<\/text>\n  <g fill=\"#76508e\"><rect x=\"618\" y=\"145\" width=\"26\" height=\"4\"><\/rect><polygon points=\"644,139 656,147 644,155\"><\/polygon><\/g>\n  <rect x=\"660\" y=\"72\" width=\"260\" height=\"150\" rx=\"16\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"><\/rect>\n  <circle cx=\"696\" cy=\"110\" r=\"18\" fill=\"#76508e\"><\/circle>\n  <text x=\"696\" y=\"116\" text-anchor=\"middle\" font-size=\"17\" font-weight=\"800\" fill=\"#ffffff\">3<\/text>\n  <text x=\"726\" y=\"116\" font-size=\"17\" font-weight=\"800\" fill=\"#3a2f4d\">Layer funding<\/text>\n  <text x=\"682\" y=\"160\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">Financing Events by<\/text>\n  <text x=\"682\" y=\"184\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">round type and date<\/text>\n  <text x=\"40\" y=\"252\" font-size=\"14\" font-weight=\"600\" fill=\"#5b3d70\">All three filters join on the same company domain in one API.<\/text>\n<\/svg>\n<\/figure>\n\n<h3>Built for Data Builders and AI Agents<\/h3>\n\n<p>PredictLeads delivers its datasets four ways:<\/p>\n<ul>\n  <li>The API, for real-time lookups.<\/li>\n  <li>Flat files, typically JSONL via AWS S3, Google Cloud Storage, or SFTP, for warehouse loads.<\/li>\n  <li>Webhooks, which push new detections and job openings for the companies you follow.<\/li>\n  <li>An MCP server at mcp.predictleads.com, for AI agents.<\/li>\n<\/ul>\n<p>Our <a href=\"https:\/\/predictleads.com\/blog\/company-data-api-flat-files-webhooks-mcp\/\">comparison of API, flat files, webhooks, and MCP<\/a> covers which method fits which workflow, and the <a href=\"https:\/\/docs.predictleads.com\/mcp_integration\/introduction\" target=\"_blank\" rel=\"noopener\">MCP integration docs<\/a> show the setup.<\/p>\n\n<p>Job openings refresh approximately every 36 hours. PredictLeads collects only public information, is SOC 2 Type II certified, and is GDPR and CCPA compliant. Teams at Clay, Instantly, Common Room, and FactSet use PredictLeads data.<\/p>\n\n<h2>Frequently Asked Questions<\/h2>\n\n<h3>What is the best TheirStack alternative in October 2026?<\/h3>\n<p>PredictLeads is the strongest overall TheirStack alternative for teams that need technographics and job data together. It detects technologies from five sources, job descriptions among them, across 240,000+ technologies and 99M+ companies. It also includes 279.2M+ job records since 2018, Financing Events, and News Events in the same API. Website-only and jobs-only tools each replace just one half of TheirStack.<\/p>\n\n<h3>Does TheirStack detect technologies from websites or only from job postings?<\/h3>\n<p>A 2026 third-party review says TheirStack infers technologies from job postings, not website crawls. That catches backend tools that never appear on public sites, but a company that is not hiring for a tool leaves no trace. PredictLeads combines job-description evidence with script tags, DNS records, IP ranges, and cookies. The <code>source_count<\/code> field shows how many sources agree.<\/p>\n\n<h3>Can one API replace both TheirStack&#8217;s technographics and its job postings data?<\/h3>\n<p>Yes, if the provider sells both datasets keyed to the same company. PredictLeads delivers Technology Detections and Job Openings on the same company domain, so you can join technology evidence to hiring without a mapping step. Job Openings covers 279.2M+ records since 2018 from 2.9M+ companies, tagged with O*NET codes and seniority. Both datasets ship via API, flat files, webhooks, and MCP.<\/p>\n\n<h3>Are technographics from job postings accurate enough for prospecting?<\/h3>\n<p>They are useful evidence, but a job ad shows a hiring requirement, not confirmed current use. A mention can point to current usage, planned adoption, a migration, or client work. It becomes stronger supporting evidence when a website script or DNS record detects the same tool. PredictLeads records that corroboration in <code>source_count<\/code> and flags non-website evidence with <code>behind_firewall<\/code>.<\/p>\n\n<h3>Which TheirStack alternative works with AI agents and MCP?<\/h3>\n<p>PredictLeads offers an MCP server at mcp.predictleads.com, so agents in Cursor and other MCP-compatible clients can query company signals in natural language. An agent can ask which companies show evidence of a technology and are hiring for a role, then pull recent funding for the same accounts. Setup takes your API key and token. Responses are structured, source-backed records.<\/p>\n\n<h2>Ready to see this in your own data?<\/h2>\n<p>Get 100 free API requests per month &#8211; no credit card, no sales call.<\/p>\n<p><a href=\"https:\/\/predictleads.com\/sign_up?utm_source=blog&amp;utm_medium=cta&amp;utm_campaign=theirstack-alternatives\" style=\"display:inline-block;background:#76508e;color:#ffffff;padding:12px 24px;border-radius:999px;font-weight:700;text-decoration:none;\">Create your free account<\/a><\/p>\n\n<h2>Final Thoughts on Choosing a TheirStack Alternative<\/h2>\n\n<p>Stay with TheirStack if you need ad hoc lookups of backend tools in a self-serve app and have no use for funding or news context. Move to a multi-signal provider when you need any of three things: a second source behind a job-ad mention, a dated record of when each technology first appeared, or hiring, funding, and technology signals joined on one company domain. If you are also replacing a website-only tool, our guide to <a href=\"https:\/\/predictleads.com\/blog\/similartech-alternatives\/\">SimilarTech alternatives<\/a> covers that side. To compare on your own accounts, <a href=\"https:\/\/predictleads.com\/sign_up?utm_source=blog&amp;utm_medium=final-thoughts&amp;utm_campaign=theirstack-alternatives\">create a free PredictLeads account<\/a> and run your current TheirStack list through Technology Detections and Job Openings.<\/p>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"BlogPosting\",\n  \"headline\": \"Best TheirStack Alternatives for Technographic and Job Data (October 2026)\",\n  \"description\": \"TheirStack alternatives for October 2026: technographic and job data providers compared. Top pick: PredictLeads, with 2B+ detections and 279.2M+ job records.\",\n  \"datePublished\": \"2026-07-02\",\n  \"dateModified\": \"2026-10-21\",\n  \"author\": {\n    \"@type\": \"Organization\",\n    \"name\": \"PredictLeads\",\n    \"url\": \"https:\/\/predictleads.com\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"PredictLeads\",\n    \"url\": \"https:\/\/predictleads.com\"\n  },\n  \"mainEntityOfPage\": {\n    \"@type\": \"WebPage\",\n    \"@id\": \"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/\"\n  },\n  \"url\": \"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/\",\n  \"wordCount\": 2800,\n  \"keywords\": [\n    \"theirstack alternatives\",\n    \"theirstack alternative\",\n    \"job posting technographics\",\n    \"technographic data API\",\n    \"job postings data\",\n    \"technographic and job data\",\n    \"builtwith alternatives\",\n    \"job data providers\",\n    \"hiring signals\",\n    \"technology detection\",\n    \"PredictLeads\"\n  ]\n}\n<\/script>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the best TheirStack alternative in October 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"PredictLeads is the strongest overall TheirStack alternative for teams that need technographics and job data together. It detects technologies from five sources, job descriptions among them, across 240,000+ technologies and 99M+ companies. It also includes 279.2M+ job records since 2018, Financing Events, and News Events in the same API. Website-only and jobs-only tools each replace just one half of TheirStack.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does TheirStack detect technologies from websites or only from job postings?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"A 2026 third-party review says TheirStack infers technologies from job postings, not website crawls. That catches backend tools that never appear on public sites, but a company that is not hiring for a tool leaves no trace. PredictLeads combines job-description evidence with script tags, DNS records, IP ranges, and cookies. The source_count field shows how many sources agree.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can one API replace both TheirStack's technographics and its job postings data?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, if the provider sells both datasets keyed to the same company. PredictLeads delivers Technology Detections and Job Openings on the same company domain, so you can join technology evidence to hiring without a mapping step. Job Openings covers 279.2M+ records since 2018 from 2.9M+ companies, tagged with O*NET codes and seniority. Both datasets ship via API, flat files, webhooks, and MCP.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Are technographics from job postings accurate enough for prospecting?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"They are useful evidence, but a job ad shows a hiring requirement, not confirmed current use. A mention can point to current usage, planned adoption, a migration, or client work. It becomes stronger supporting evidence when a website script or DNS record detects the same tool. PredictLeads records that corroboration in source_count and flags non-website evidence with the behind_firewall field.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Which TheirStack alternative works with AI agents and MCP?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"PredictLeads offers an MCP server at mcp.predictleads.com, so agents in Cursor and other MCP-compatible clients can query company signals in natural language. An agent can ask which companies show evidence of a technology and are hiring for a role, then pull recent funding for the same accounts. Setup takes your API key and token. Responses are structured, source-backed records.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What does the behind_firewall field mean in PredictLeads Technology Detections?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"behind_firewall is a boolean on each Technology Detection that shows whether the evidence came from outside the public website. A value of false means the technology was detected through website JavaScript or HTML tags. A value of true means it was detected through other sources, such as job descriptions. This approach gives higher match rates for enterprise technologies such as Salesforce, Snowflake, and HubSpot, which rarely appear in website code.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How should I read a technology that is no longer detected?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"A technology that is no longer detected does not prove the company stopped using it. Detection gaps have several causes, including a script change, a recrawl gap, or a signature change. Check last_seen_at and whether other sources still back up the tool before you draw a conclusion. A shift in job postings away from the tool is stronger supporting evidence of a possible transition, not confirmation.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does PredictLeads provide contact data like emails or phone numbers?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"No. PredictLeads is a company intelligence data provider and collects no PII in its company datasets. It covers company-level signals such as Technology Detections, Job Openings, News Events, Financing Events, and Connections. Teams that need contacts pair PredictLeads with a separate contact source in their CRM or in a tool like Clay.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How fresh is PredictLeads Job Openings data in 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Job openings are refreshed approximately every 36 hours, and high-traffic websites are crawled multiple times daily. At any time, the dataset holds about 10.2M active openings, and 710,600+ companies are currently hiring. Every record carries first_seen_at and last_seen_at, so you can measure how long a role has been open. Webhooks can push new and closed openings for the companies you follow.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I get PredictLeads data as flat files instead of API calls?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. Flat files are arranged through the sales team and typically delivered as JSONL via AWS S3, Google Cloud Storage, or SFTP. They suit warehouse loads into Snowflake or BigQuery, backfills, and large-scale analysis. The same datasets are also available through the API for real-time lookups, webhooks for push alerts, and MCP for AI agents.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How many API credits does a PredictLeads technology lookup use?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Company-specific endpoints, such as one company's technology detections, typically use 1 credit per response. Discovery endpoints, such as finding every company with evidence of a given technology, typically use 1 credit per record returned. Follow and unfollow calls and subscription checks use 0 credits. New accounts get 100 free API requests to test before paying.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How do I enrich a CRM with technographic and job data via API in 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Start from the company domain on each CRM record and call the company-level endpoints for Technology Detections and Job Openings. Map fields such as technology name, first_seen_at, source_count, job title, and O*NET code into custom CRM fields. For no-code setups, PredictLeads has native integrations with Clay, Make, and n8n that run the same enrichment on a schedule. Webhooks can then push new detections and openings so records stay current.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How can I monitor a competitor's job postings and hiring trends?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Follow the competitor's domain and pull its Job Openings, filtering by first_seen_at and job category to see where hiring is speeding up. O*NET codes and seniority levels let you compare roles consistently across companies. Webhooks can notify you when openings are found or closed. Pair the results with News Events such as increases_headcount_by or expands_offices_in for context.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I find companies hiring for a specific technology?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. Technology Detections include a seen_on_job_openings field that shows whether a technology was found in a company's job openings. You can pull detections for a technology through the discovery endpoint, then filter by active Job Openings for the roles you care about. Because both datasets share company identifiers, you get one list of accounts with evidence of the technology and live hiring.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Is PredictLeads SOC 2 compliant and GDPR compliant?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. PredictLeads is SOC 2 Type II certified and is GDPR and CCPA compliant. It collects only publicly available information, accesses no gated content, and collects no PII in its company intelligence datasets. Security details are published at predictleads.com\/security.\"\n      }\n    }\n  ]\n}\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.<\/p>\n","protected":false},"author":8,"featured_media":2001,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2,5,86],"tags":[36,34],"class_list":["post-1494","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-company","category-hiring-intent-data","category-technology-dataset","tag-data","tag-predictleads"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.8 (Yoast SEO v28.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>TheirStack Alternatives (October 2026)<\/title>\n<meta name=\"description\" content=\"A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best TheirStack Alternatives for Technographic and Job Data (October 2026)\" \/>\n<meta property=\"og:description\" content=\"A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/\" \/>\n<meta property=\"og:site_name\" content=\"PredictLeads\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-02T13:05:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-22T09:45:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/09\/TheirStack_Alternatives_1-1024x576-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"576\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Robert Fon\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Robert Fon\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"15 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/\"},\"author\":{\"name\":\"Robert Fon\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#\\\/schema\\\/person\\\/5e71e16aecc9270b7e458092273b768a\"},\"headline\":\"Best TheirStack Alternatives for Technographic and Job Data (October 2026)\",\"datePublished\":\"2026-07-02T13:05:00+00:00\",\"dateModified\":\"2026-10-22T09:45:55+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/\"},\"wordCount\":3164,\"publisher\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/TheirStack_Alternatives_1-1024x576-1.jpg\",\"keywords\":[\"Data\",\"PredictLeads\"],\"articleSection\":[\"Company\",\"Hiring Intent Data\",\"Technology Dataset\"],\"inLanguage\":\"en-US\",\"copyrightYear\":\"2026\",\"copyrightHolder\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/\",\"name\":\"TheirStack Alternatives (October 2026)\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/TheirStack_Alternatives_1-1024x576-1.jpg\",\"datePublished\":\"2026-07-02T13:05:00+00:00\",\"dateModified\":\"2026-10-22T09:45:55+00:00\",\"description\":\"A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#primaryimage\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/TheirStack_Alternatives_1-1024x576-1.jpg\",\"contentUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/TheirStack_Alternatives_1-1024x576-1.jpg\",\"width\":1024,\"height\":576},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Best TheirStack Alternatives for Technographic and Job Data (October 2026)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/\",\"name\":\"PredictLeads Blog\",\"description\":\"Company Intelligence Data\",\"publisher\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Organization\",\"Place\"],\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\",\"name\":\"PredictLeads\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/\",\"logo\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#local-main-organization-logo\"},\"image\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#local-main-organization-logo\"},\"sameAs\":[\"https:\\\/\\\/www.linkedin.com\\\/company\\\/predictleads\"],\"description\":\"PredictLeads is a B2B company intelligence provider that transforms observable business signals into structured, actionable data. It tracks companies globally across hiring activity, technology usage, news events, financing, customer and partner relationships, similar companies, and other company-level signals. The data is delivered through APIs, flat files, webhooks, and MCP, allowing organizations to integrate company intelligence directly into their products, research workflows, AI agents, and internal systems. PredictLeads serves investment firms, consulting teams, sales and marketing organizations, data platforms, and enterprises that use these signals for market research, lead generation, company monitoring, investment analysis, and strategic decision-making.\",\"legalName\":\"4see, Inc., dba PredictLeads\",\"foundingDate\":\"2015-02-26\",\"naics\":\"518210\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":\"11\",\"maxValue\":\"50\"},\"telephone\":[],\"openingHoursSpecification\":[{\"@type\":\"OpeningHoursSpecification\",\"dayOfWeek\":[\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\",\"Sunday\"],\"opens\":\"09:00\",\"closes\":\"17:00\"}]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#\\\/schema\\\/person\\\/5e71e16aecc9270b7e458092273b768a\",\"name\":\"Robert Fon\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g\",\"caption\":\"Robert Fon\"}},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/theirstack-alternatives\\\/#local-main-organization-logo\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/predict-leads-logo-color-2130x1200-cropped.png\",\"contentUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/predict-leads-logo-color-2130x1200-cropped.png\",\"width\":2130,\"height\":447,\"caption\":\"PredictLeads\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"TheirStack Alternatives (October 2026)","description":"A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/","og_locale":"en_US","og_type":"article","og_title":"Best TheirStack Alternatives for Technographic and Job Data (October 2026)","og_description":"A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.","og_url":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/","og_site_name":"PredictLeads","article_published_time":"2026-07-02T13:05:00+00:00","article_modified_time":"2026-10-22T09:45:55+00:00","og_image":[{"width":1024,"height":576,"url":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/09\/TheirStack_Alternatives_1-1024x576-1.jpg","type":"image\/jpeg"}],"author":"Robert Fon","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Robert Fon","Est. reading time":"15 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#article","isPartOf":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/"},"author":{"name":"Robert Fon","@id":"https:\/\/predictleads.com\/blog\/#\/schema\/person\/5e71e16aecc9270b7e458092273b768a"},"headline":"Best TheirStack Alternatives for Technographic and Job Data (October 2026)","datePublished":"2026-07-02T13:05:00+00:00","dateModified":"2026-10-22T09:45:55+00:00","mainEntityOfPage":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/"},"wordCount":3164,"publisher":{"@id":"https:\/\/predictleads.com\/blog\/#organization"},"image":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#primaryimage"},"thumbnailUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/09\/TheirStack_Alternatives_1-1024x576-1.jpg","keywords":["Data","PredictLeads"],"articleSection":["Company","Hiring Intent Data","Technology Dataset"],"inLanguage":"en-US","copyrightYear":"2026","copyrightHolder":{"@id":"https:\/\/predictleads.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/","url":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/","name":"TheirStack Alternatives (October 2026)","isPartOf":{"@id":"https:\/\/predictleads.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#primaryimage"},"image":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#primaryimage"},"thumbnailUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/09\/TheirStack_Alternatives_1-1024x576-1.jpg","datePublished":"2026-07-02T13:05:00+00:00","dateModified":"2026-10-22T09:45:55+00:00","description":"A September 2026 comparison of TheirStack alternatives covering technology detection, job postings, credit pricing, and API delivery.","breadcrumb":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/predictleads.com\/blog\/theirstack-alternatives\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#primaryimage","url":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/09\/TheirStack_Alternatives_1-1024x576-1.jpg","contentUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/09\/TheirStack_Alternatives_1-1024x576-1.jpg","width":1024,"height":576},{"@type":"BreadcrumbList","@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/predictleads.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Best TheirStack Alternatives for Technographic and Job Data (October 2026)"}]},{"@type":"WebSite","@id":"https:\/\/predictleads.com\/blog\/#website","url":"https:\/\/predictleads.com\/blog\/","name":"PredictLeads Blog","description":"Company Intelligence Data","publisher":{"@id":"https:\/\/predictleads.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/predictleads.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Organization","Place"],"@id":"https:\/\/predictleads.com\/blog\/#organization","name":"PredictLeads","url":"https:\/\/predictleads.com\/blog\/","logo":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#local-main-organization-logo"},"image":{"@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#local-main-organization-logo"},"sameAs":["https:\/\/www.linkedin.com\/company\/predictleads"],"description":"PredictLeads is a B2B company intelligence provider that transforms observable business signals into structured, actionable data. It tracks companies globally across hiring activity, technology usage, news events, financing, customer and partner relationships, similar companies, and other company-level signals. The data is delivered through APIs, flat files, webhooks, and MCP, allowing organizations to integrate company intelligence directly into their products, research workflows, AI agents, and internal systems. PredictLeads serves investment firms, consulting teams, sales and marketing organizations, data platforms, and enterprises that use these signals for market research, lead generation, company monitoring, investment analysis, and strategic decision-making.","legalName":"4see, Inc., dba PredictLeads","foundingDate":"2015-02-26","naics":"518210","numberOfEmployees":{"@type":"QuantitativeValue","minValue":"11","maxValue":"50"},"telephone":[],"openingHoursSpecification":[{"@type":"OpeningHoursSpecification","dayOfWeek":["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"],"opens":"09:00","closes":"17:00"}]},{"@type":"Person","@id":"https:\/\/predictleads.com\/blog\/#\/schema\/person\/5e71e16aecc9270b7e458092273b768a","name":"Robert Fon","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g","caption":"Robert Fon"}},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/predictleads.com\/blog\/theirstack-alternatives\/#local-main-organization-logo","url":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2021\/09\/predict-leads-logo-color-2130x1200-cropped.png","contentUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2021\/09\/predict-leads-logo-color-2130x1200-cropped.png","width":2130,"height":447,"caption":"PredictLeads"}]}},"_links":{"self":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts\/1494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/comments?post=1494"}],"version-history":[{"count":5,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts\/1494\/revisions"}],"predecessor-version":[{"id":2203,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts\/1494\/revisions\/2203"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/media\/2001"}],"wp:attachment":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/media?parent=1494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/categories?post=1494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/tags?post=1494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}