{"id":1879,"date":"2026-09-01T12:35:07","date_gmt":"2026-09-01T12:35:07","guid":{"rendered":"https:\/\/predictleads.com\/blog\/?p=1879"},"modified":"2026-10-21T15:01:39","modified_gmt":"2026-10-21T15:01:39","slug":"how-to-find-companies-using-hubspot-or-salesforce","status":"publish","type":"post","link":"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/","title":{"rendered":"How to Find Companies Using HubSpot or Salesforce (October 2026)"},"content":{"rendered":"\n<p><em>By Robert Fon \/ October 21, 2026<\/em><\/p>\n\n<p>Most teams searching for &#8220;companies using HubSpot or Salesforce&#8221; run one query and expect one kind of answer, but the two platforms leave almost opposite footprints in public data. HubSpot is built to be seen by website visitors, so its tracking scripts, forms, and chat widgets show up in a standard website scan. Salesforce sits behind a login, so a script scan alone misses most Salesforce accounts, and the real evidence lives in DNS records, job postings, and other signals a URL crawl never touches. This guide shows how to query technology detection data for each platform, score what comes back, and use job openings to catch Salesforce accounts that scripts cannot see.<\/p>\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_89 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#TLDR\" >TLDR<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#What_Finding_Companies_Using_HubSpot_or_Salesforce_Actually_Means\" >What Finding Companies Using HubSpot or Salesforce Actually Means<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#HubSpot_vs_Salesforce_Why_One_Is_Easier_to_Detect_Than_the_Other\" >HubSpot vs. Salesforce: Why One Is Easier to Detect Than the Other<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#The_Five_Detection_Sources_Behind_Every_Match\" >The Five Detection Sources Behind Every Match<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#How_to_Query_the_API_for_HubSpot_or_Salesforce_Detections\" >How to Query the API for HubSpot or Salesforce Detections<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Steps_1_to_3_Resolve_Query_and_Read_the_Record\" >Steps 1 to 3: Resolve, Query, and Read the Record<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Steps_4_and_5_Score_and_Deliver\" >Steps 4 and 5: Score and Deliver<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Scoring_the_Matches_Which_Detections_You_Can_Trust\" >Scoring the Matches: Which Detections You Can Trust<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Tier_1_Corroborated\" >Tier 1: Corroborated<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Tier_2_Single-Source_Current\" >Tier 2: Single-Source, Current<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Tier_3_Aging\" >Tier 3: Aging<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Tracking_a_Possible_HubSpot-to-Salesforce_Migration\" >Tracking a Possible HubSpot-to-Salesforce Migration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#How_PredictLeads_Delivers_CRM_Technology_Detections\" >How PredictLeads Delivers CRM Technology Detections<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Final_Thoughts_on_Finding_Companies_Using_HubSpot_or_Salesforce\" >Final Thoughts on Finding Companies Using HubSpot or Salesforce<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Ready_to_see_this_in_your_own_data\" >Ready to see this in your own data?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#How_do_you_find_companies_using_HubSpot_in_2026\" >How do you find companies using HubSpot in 2026?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Can_you_detect_Salesforce_usage_if_it_never_appears_in_a_companys_website_code\" >Can you detect Salesforce usage if it never appears in a company&#8217;s website code?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#What_does_the_behind_firewall_field_mean_in_a_technology_detection_record\" >What does the behind_firewall field mean in a technology detection record?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#How_fresh_is_HubSpot_and_Salesforce_detection_data\" >How fresh is HubSpot and Salesforce detection data?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/#Can_PredictLeads_tell_when_a_company_switches_from_HubSpot_to_Salesforce\" >Can PredictLeads tell when a company switches from HubSpot to Salesforce?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"TLDR\"><\/span>TLDR<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Finding companies using HubSpot is mostly a front-end detection problem: tracking scripts, embedded forms, and chat widgets show up in a routine website scan.<\/li>\n<li>Finding companies using Salesforce is mostly a behind_firewall problem: the core CRM has no public interface, so the evidence sits in DNS sender records, job postings, and the company&#8217;s own email authentication setup.<\/li>\n<li>A technology detection record is evidence that a signal was observed at a point in time, not confirmation of an active, paid license, so score every match by source_count and recency before you act on it.<\/li>\n<li>A technology that stops showing up is &#8220;no longer detected,&#8221; not &#8220;canceled.&#8221; Script changes, recrawl gaps, and signature updates can all produce the same gap.<\/li>\n<li>PredictLeads has logged 2B+ technology detections since 2018 across 240,000+ tracked technologies and 99M+ companies with technology data, built from five independent detection sources.<\/li>\n<\/ul>\n\n<h2><span class=\"ez-toc-section\" id=\"What_Finding_Companies_Using_HubSpot_or_Salesforce_Actually_Means\"><\/span>What Finding Companies Using HubSpot or Salesforce Actually Means<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>Finding companies using HubSpot or Salesforce means querying a technology detection dataset for evidence that each platform appears on a company&#8217;s website, in its DNS records, in its job postings, or in another public signal, not pulling a verified list of active software licenses. Every match is a timestamped observation, carrying a first_seen_at and last_seen_at date and a source_count showing how many independent signals support it. That timestamp matters more for these two platforms than for most technologies, because HubSpot and Salesforce sit at opposite ends of how visible a technology is from the outside.<\/p>\n\n<p>Technographic data of this kind works the same way regardless of which CRM or marketing platform you are checking: it provides evidence of which technologies a company uses or has recently used, drawn from public sources, not a confirmed install list pulled from the vendor. For a broader look at how this category of data gets built across providers, see our comparison of <a href=\"https:\/\/predictleads.com\/blog\/technographic-data-providers\/\">technographic data providers<\/a>. PredictLeads tracks this evidence across 240,000+ technologies and 99M+ companies with technology data, built from 2B+ detections logged since 2018.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"HubSpot_vs_Salesforce_Why_One_Is_Easier_to_Detect_Than_the_Other\"><\/span>HubSpot vs. Salesforce: Why One Is Easier to Detect Than the Other<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>HubSpot and Salesforce are both CRM-adjacent platforms, but they leave different trails in public data. HubSpot&#8217;s free and marketing-hub tiers are designed to be visible: <a href=\"https:\/\/knowledge.hubspot.com\/reports\/how-do-i-know-if-my-hubspot-tracking-code-is-working\">tracking code, embedded forms, and live chat widgets<\/a> all render in a browser, so a website scan picks them up directly. Salesforce&#8217;s core CRM has no public front end at all. What shows up instead are indirect traces: <a href=\"https:\/\/help.salesforce.com\/s\/articleView?id=mc_es_sender_policy_framework_faq.htm&amp;language=en_US&amp;type=5\">sender authentication records for outbound email<\/a>, portal subdomains, and job postings that name the platform by requirement.<\/p>\n\n<table style=\"width:100%;border-collapse:collapse;margin:20px 0;font-family:'Poppins','Segoe UI',system-ui,sans-serif;font-size:15px;\">\n<thead>\n<tr>\n<th style=\"background-color:#76508e;color:#ffffff;text-align:left;padding:10px 14px;font-weight:700;\">Signal<\/th>\n<th style=\"background-color:#76508e;color:#ffffff;text-align:left;padding:10px 14px;font-weight:700;\">HubSpot<\/th>\n<th style=\"background-color:#76508e;color:#ffffff;text-align:left;padding:10px 14px;font-weight:700;\">Salesforce<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background-color:#ffffff;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Website script tags and forms<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Common: tracking code, embedded forms, chat widgets<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Rare: no public front end for the core CRM<\/td>\n<\/tr>\n<tr style=\"background-color:#f3ecf8;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">DNS records (SPF, CNAME)<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Occasional: email-sending records<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Common: sender authentication and portal subdomains<\/td>\n<\/tr>\n<tr style=\"background-color:#ffffff;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Cookies<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Common: tracking and session cookies<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Rare<\/td>\n<\/tr>\n<tr style=\"background-color:#f3ecf8;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Job descriptions<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Occasional: marketing hire postings<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Common: admin and developer postings name Salesforce directly<\/td>\n<\/tr>\n<tr style=\"background-color:#ffffff;\">\n<td style=\"padding:10px 14px;color:#3a2f4d;\">Typical behind_firewall value<\/td>\n<td style=\"padding:10px 14px;color:#3a2f4d;\">Often false (visible website tag)<\/td>\n<td style=\"padding:10px 14px;color:#3a2f4d;\">Often true (non-visible source)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n<p>That contrast is exactly what the behind_firewall field is built to flag. A false value generally means the detection came from a visible website tag, which is common for HubSpot. A true value means the evidence came from a source other than a public-facing script, which is common for Salesforce and for any enterprise tool that operates behind a login.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"The_Five_Detection_Sources_Behind_Every_Match\"><\/span>The Five Detection Sources Behind Every Match<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>PredictLeads builds every technology detection from one or more of five independent sources, and knowing which source produced a match tells you how much to trust it. For the full breakdown of how each method works, see <a href=\"https:\/\/predictleads.com\/blog\/technographic-data-collection-methods\/\">how technographic data is collected<\/a>.<\/p>\n\n<ul>\n<li><strong>Website script tags:<\/strong> the embedded JavaScript, CSS, or HTML that a tool injects into a page, the main source for HubSpot&#8217;s visible widgets.<\/li>\n<li><strong>DNS records:<\/strong> TXT, MX, NS, CNAME, SOA_MNAME, and SOA_RNAME entries, including the SPF records that reveal which email platform a company authorizes to send on its behalf.<\/li>\n<li><strong>IP ranges:<\/strong> hosting and infrastructure ranges associated with a known vendor.<\/li>\n<li><strong>Cookies:<\/strong> session and tracking cookies set by a tool&#8217;s script.<\/li>\n<li><strong>Job descriptions:<\/strong> postings that name a technology as a required or preferred skill, often the only public trace of a tool like Salesforce.<\/li>\n<\/ul>\n\n<p>Extended Technology Detections add a detection_source and detection_source_type (script_src, cookies, dom, keyword, and more) to each record, so you can see exactly which of the five sources produced a given match. For the general version of this workflow across any technology, not just these two, see <a href=\"https:\/\/predictleads.com\/blog\/detect-company-technology-stack\/\">how to detect a company&#8217;s technology stack<\/a>.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"How_to_Query_the_API_for_HubSpot_or_Salesforce_Detections\"><\/span>How to Query the API for HubSpot or Salesforce Detections<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>Querying for HubSpot or Salesforce detections is a five-step process whether you are checking one company or scanning the market for every account running either platform. The full endpoint reference for this workflow is in our <a href=\"https:\/\/predictleads.com\/blog\/technology-detection-api-find-companies-using-specific-technologies\/\">technology detection API guide<\/a>.<\/p>\n\n<svg viewBox=\"0 0 1000 200\" width=\"100%\" height=\"auto\" role=\"img\" aria-labelledby=\"flowTitle1 flowDesc1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"max-width:1000px;display:block;margin:24px auto;\">\n<title id=\"flowTitle1\">Five-step workflow for querying HubSpot or Salesforce technology detections<\/title>\n<desc id=\"flowDesc1\">Step 1 Resolve the technology in the catalog. Step 2 Query the discover endpoint. Step 3 Read the record fields. Step 4 Score and filter the matches. Step 5 Deliver the results to your stack.<\/desc>\n<rect width=\"1000\" height=\"200\" fill=\"#ffffff\"\/>\n<line x1=\"100\" y1=\"60\" x2=\"900\" y2=\"60\" stroke=\"#b79fcb\" stroke-width=\"3\"\/>\n<circle cx=\"100\" cy=\"60\" r=\"34\" fill=\"#76508e\"\/>\n<text x=\"100\" y=\"69\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"26\" font-weight=\"800\" fill=\"#ffffff\" text-anchor=\"middle\">1<\/text>\n<text x=\"100\" y=\"125\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\"><tspan x=\"100\" dy=\"0\">Resolve the<\/tspan><tspan x=\"100\" dy=\"16\">technology<\/tspan><\/text>\n<circle cx=\"300\" cy=\"60\" r=\"34\" fill=\"#76508e\"\/>\n<text x=\"300\" y=\"69\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"26\" font-weight=\"800\" fill=\"#ffffff\" text-anchor=\"middle\">2<\/text>\n<text x=\"300\" y=\"125\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\"><tspan x=\"300\" dy=\"0\">Query the<\/tspan><tspan x=\"300\" dy=\"16\">discover endpoint<\/tspan><\/text>\n<circle cx=\"500\" cy=\"60\" r=\"34\" fill=\"#76508e\"\/>\n<text x=\"500\" y=\"69\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"26\" font-weight=\"800\" fill=\"#ffffff\" text-anchor=\"middle\">3<\/text>\n<text x=\"500\" y=\"125\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\"><tspan x=\"500\" dy=\"0\">Read the<\/tspan><tspan x=\"500\" dy=\"16\">record fields<\/tspan><\/text>\n<circle cx=\"700\" cy=\"60\" r=\"34\" fill=\"#76508e\"\/>\n<text x=\"700\" y=\"69\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"26\" font-weight=\"800\" fill=\"#ffffff\" text-anchor=\"middle\">4<\/text>\n<text x=\"700\" y=\"125\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\"><tspan x=\"700\" dy=\"0\">Score and<\/tspan><tspan x=\"700\" dy=\"16\">filter<\/tspan><\/text>\n<circle cx=\"900\" cy=\"60\" r=\"34\" fill=\"#76508e\"\/>\n<text x=\"900\" y=\"69\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"26\" font-weight=\"800\" fill=\"#ffffff\" text-anchor=\"middle\">5<\/text>\n<text x=\"900\" y=\"125\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\"><tspan x=\"900\" dy=\"0\">Deliver to<\/tspan><tspan x=\"900\" dy=\"16\">your stack<\/tspan><\/text>\n<\/svg>\n\n<h3><span class=\"ez-toc-section\" id=\"Steps_1_to_3_Resolve_Query_and_Read_the_Record\"><\/span>Steps 1 to 3: Resolve, Query, and Read the Record<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n<p><strong>Step 1.<\/strong> Resolve the technology in the catalog with a fuzzy-name lookup: <code>GET \/technologies\/hubspot<\/code> or <code>GET \/technologies\/salesforce<\/code> against the base URL <code>https:\/\/predictleads.com\/api\/v3<\/code>. This confirms the technology ID and returns its category and pricing data from the Technologies catalog.<\/p>\n\n<p><strong>Step 2.<\/strong> Query the discovery endpoint for every company showing that technology: <code>GET \/discover\/technologies\/salesforce\/technology_detections?page=1<\/code>, authenticated with your <code>X-Api-Key<\/code> and <code>X-Api-Token<\/code> headers. Results are ordered by first_seen_at descending, and each discovery request typically costs 1 credit per record returned.<\/p>\n\n<p><strong>Step 3.<\/strong> Read the core fields on each record: first_seen_at, last_seen_at, behind_firewall, source_count, and the linked company reference. For more detail, call <code>GET \/extended_technology_detections\/{id}<\/code> to see the detection_source and detection_source_type behind that specific match.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Steps_4_and_5_Score_and_Deliver\"><\/span>Steps 4 and 5: Score and Deliver<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n<p><strong>Step 4.<\/strong> Score and filter the results using the tiers in the next section, weighting source_count and how recent last_seen_at is more heavily than the raw presence of a match.<\/p>\n\n<p><strong>Step 5.<\/strong> Deliver the filtered list to your stack. Pull it live through the API, schedule a bulk export to your warehouse through flat files, set up a webhook on the TechnologyDetectionsDataset to get pushed a new match the moment it is found, or query it conversationally through MCP at mcp.predictleads.com with a prompt like &#8220;Find companies using Salesforce hiring developers.&#8221;<\/p>\n\n<p>Keep the rate limit in mind: the API allows 60 requests per second and returns a 429 with a Retry-After header if you exceed it, and a 402 if you exceed your monthly credit limit.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Scoring_the_Matches_Which_Detections_You_Can_Trust\"><\/span>Scoring the Matches: Which Detections You Can Trust<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>Not every detection deserves the same confidence, so it helps to sort matches into three tiers based on source_count and recency. For more on why this matters across any technology, see <a href=\"https:\/\/predictleads.com\/blog\/technographic-data-accuracy\/\">technographic data accuracy: what most providers get wrong<\/a>.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Tier_1_Corroborated\"><\/span>Tier 1: Corroborated<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A detection with a source_count of two or more and a recent last_seen_at is corroborated: multiple independent sources agree the technology is in use right now. This tier supports a direct opener, for example referencing the specific tool by name in outreach.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Tier_2_Single-Source_Current\"><\/span>Tier 2: Single-Source, Current<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A detection from only one source but with a recent timestamp still means something was observed, just not confirmed by a second signal. Treat this tier as grounds for a qualifying question, not a factual claim.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Tier_3_Aging\"><\/span>Tier 3: Aging<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A detection with an older last_seen_at and no recent reconfirmation may no longer reflect the company&#8217;s current stack. Use this tier for background research, and verify before citing it in outreach.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Tracking_a_Possible_HubSpot-to-Salesforce_Migration\"><\/span>Tracking a Possible HubSpot-to-Salesforce Migration<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>A HubSpot detection that stops appearing, or a new Salesforce detection that appears alongside an existing HubSpot one, is not proof that a company has switched CRMs. Treat it as &#8220;no longer detected&#8221; rather than &#8220;dropped&#8221; or &#8220;canceled,&#8221; since a script change, a recrawl gap, or a signature update can all produce the same gap without any change on the company&#8217;s side.<\/p>\n\n<p>Job postings add stronger supporting evidence of a possible transition, not confirmation of one. A company posting for a &#8220;Salesforce Administrator&#8221; role while an existing HubSpot detection is still active is a meaningfully stronger signal than either data point alone. PredictLeads classifies every posting with <a href=\"https:\/\/www.onetonline.org\/\">O*NET occupation codes<\/a> across 279.2M+ job records logged since 2018, see <a href=\"https:\/\/predictleads.com\/blog\/job-openings-data-technographics\/\">how job openings data improves technographic accuracy<\/a>, so you can pair a technology detection with a hiring signal from the same company before you reach out.<\/p>\n\n<p>Connections data adds a third angle: when a company lists Salesforce or HubSpot on its own Integrations or Partners subpage, that relationship is captured as a connection record with a category of integration, sourced from the page itself rather than inferred from a script. Stacking a technology detection, a hiring signal, and a connection record gives you three independent reasons to believe a transition is underway instead of one.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"How_PredictLeads_Delivers_CRM_Technology_Detections\"><\/span>How PredictLeads Delivers CRM Technology Detections<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>PredictLeads tracks technology evidence for HubSpot, Salesforce, and 240,000+ other technologies across 99M+ companies, built from 2B+ detections logged since 2018 across five independent sources: website script tags, DNS records, IP ranges, cookies, and job descriptions. Every record carries first_seen_at, last_seen_at, behind_firewall, and source_count, so you can apply the same tiering logic shown above to any technology in the catalog, not just these two.<\/p>\n\n<svg viewBox=\"0 0 900 200\" width=\"100%\" height=\"auto\" role=\"img\" aria-labelledby=\"statTitle1 statDesc1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"max-width:900px;display:block;margin:24px auto;\">\n<title id=\"statTitle1\">PredictLeads Technology Detections by the numbers<\/title>\n<desc id=\"statDesc1\">2 billion plus technology detections since 2018. 240,000 plus technologies tracked in the catalog. 99 million plus companies with technology data.<\/desc>\n<rect width=\"900\" height=\"200\" fill=\"#f3ecf8\" rx=\"20\"\/>\n<rect x=\"30\" y=\"25\" width=\"260\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"160\" y=\"90\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"38\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\" text-anchor=\"middle\">2B+<\/text>\n<text x=\"160\" y=\"122\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"15\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\">Technology detections<\/text>\n<text x=\"160\" y=\"142\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" fill=\"#5b3d70\" text-anchor=\"middle\">logged since 2018<\/text>\n<rect x=\"320\" y=\"25\" width=\"260\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"450\" y=\"90\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"30\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\" text-anchor=\"middle\">240,000+<\/text>\n<text x=\"450\" y=\"122\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"15\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\">Technologies tracked<\/text>\n<text x=\"450\" y=\"142\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" fill=\"#5b3d70\" text-anchor=\"middle\">in the catalog<\/text>\n<rect x=\"610\" y=\"25\" width=\"260\" height=\"150\" rx=\"14\" fill=\"#ffffff\" stroke=\"#ece0f5\" stroke-width=\"2\"\/>\n<text x=\"740\" y=\"90\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"34\" font-weight=\"800\" font-style=\"italic\" fill=\"#76508e\" text-anchor=\"middle\">99M+<\/text>\n<text x=\"740\" y=\"122\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"15\" font-weight=\"600\" fill=\"#3a2f4d\" text-anchor=\"middle\">Companies with<\/text>\n<text x=\"740\" y=\"142\" font-family=\"Poppins, 'Segoe UI', system-ui, sans-serif\" font-size=\"13\" fill=\"#5b3d70\" text-anchor=\"middle\">technology data<\/text>\n<\/svg>\n\n<p>The same company record also connects to Job Openings (279.2M+ records since 2018, classified by O*NET code) and Connections (371.8M+ relationship records since 2019, including integration and vendor categories), so a CRM detection, a hiring signal, and a partnership mention come from one API instead of three separate tools. If you plan to act on these signals directly inside your CRM, see <a href=\"https:\/\/predictleads.com\/blog\/using-predictleads-polytomic-to-power-gtm-execution-in-hubspot-and-salesforce\/\">how PredictLeads and Polytomic power GTM execution in HubSpot and Salesforce<\/a>.<\/p>\n\n<table style=\"width:100%;border-collapse:collapse;margin:20px 0;font-family:'Poppins','Segoe UI',system-ui,sans-serif;font-size:15px;\">\n<thead>\n<tr>\n<th style=\"background-color:#76508e;color:#ffffff;text-align:left;padding:10px 14px;font-weight:700;\">Method<\/th>\n<th style=\"background-color:#76508e;color:#ffffff;text-align:left;padding:10px 14px;font-weight:700;\">How It Works<\/th>\n<th style=\"background-color:#76508e;color:#ffffff;text-align:left;padding:10px 14px;font-weight:700;\">Best For<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background-color:#ffffff;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">API<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Query the discover or company endpoint in real time<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">On-demand lookups, enrichment at request time<\/td>\n<\/tr>\n<tr style=\"background-color:#f3ecf8;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Flat files<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Scheduled bulk export of detection records to S3, GCS, or SFTP<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Backfills and warehouse analysis in Snowflake or BigQuery, see our <a href=\"https:\/\/predictleads.com\/blog\/company-data-api-flat-files-webhooks-mcp\/\">API vs. flat files vs. webhooks comparison<\/a><\/td>\n<\/tr>\n<tr style=\"background-color:#ffffff;\">\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Webhooks<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Push notification when a followed company&#8217;s TechnologyDetectionsDataset changes<\/td>\n<td style=\"padding:10px 14px;border-bottom:1px solid #ece0f5;color:#3a2f4d;\">Real-time alerting when a target starts or stops showing a signal<\/td>\n<\/tr>\n<tr style=\"background-color:#f3ecf8;\">\n<td style=\"padding:10px 14px;color:#3a2f4d;\">MCP<\/td>\n<td style=\"padding:10px 14px;color:#3a2f4d;\">Natural-language queries at mcp.predictleads.com<\/td>\n<td style=\"padding:10px 14px;color:#3a2f4d;\">AI agent workflows and conversational access<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n<p>All of this is built from public sources only, including company websites, career pages, and DNS records, never gated or private data. PredictLeads is SOC 2 Type II certified and compliant with GDPR and CCPA, and delivers this data through API, flat files, webhooks, and MCP so you can pull it live, schedule a bulk export, get pushed a new match, or query it conversationally.<\/p>\n\n<h2><span class=\"ez-toc-section\" id=\"Final_Thoughts_on_Finding_Companies_Using_HubSpot_or_Salesforce\"><\/span>Final Thoughts on Finding Companies Using HubSpot or Salesforce<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<p>HubSpot and Salesforce sit at opposite ends of the same detection problem: one is built to be seen, and one is built to be used from the inside. Querying both correctly means reading the right source for each platform, scoring what comes back by source_count and recency, and pairing a technology detection with a hiring signal before you treat a possible migration as fact. The company list is only as useful as the evidence behind it. For the general version of this workflow across any technology in the catalog, see <a href=\"https:\/\/predictleads.com\/blog\/find-companies-using-technology\/\">how to find every company using a technology by name<\/a>.<\/p>\n\n<div style=\"background-color:#f3ecf8;border:1px solid #ece0f5;border-radius:14px;padding:24px;margin:28px 0;text-align:center;\">\n<h3 style=\"color:#5b3d70;margin-top:0;\"><span class=\"ez-toc-section\" id=\"Ready_to_see_this_in_your_own_data\"><\/span>Ready to see this in your own data?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p style=\"color:#3a2f4d;\">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=how-to-find-companies-using-hubspot-or-salesforce\" style=\"background-color:#76508e;color:#ffffff;padding:12px 28px;border-radius:8px;text-decoration:none;font-weight:700;display:inline-block;\">Start Free<\/a><\/p>\n<\/div>\n\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n<h3><span class=\"ez-toc-section\" id=\"How_do_you_find_companies_using_HubSpot_in_2026\"><\/span>How do you find companies using HubSpot in 2026?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Query the PredictLeads Technology Detections dataset for HubSpot by resolving it in the Technologies catalog, then calling the discovery endpoint to list every company with an active detection. Most HubSpot matches come from website script tags, embedded forms, and tracking cookies, since the platform is built to be visible on the front end. Each match carries a first_seen_at and last_seen_at date and a source_count, so you can confirm the signal is recent before acting on it. PredictLeads has logged 2B+ detections since 2018 across 240,000+ technologies, HubSpot included.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Can_you_detect_Salesforce_usage_if_it_never_appears_in_a_companys_website_code\"><\/span>Can you detect Salesforce usage if it never appears in a company&#8217;s website code?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Yes. Salesforce&#8217;s core CRM has no public front end, so most detections come from DNS sender-authentication records, portal subdomains, and job postings that name the platform rather than from a website scan. The behind_firewall field flags this: a true value means the evidence came from a source other than a visible website tag. PredictLeads combines five detection sources, including DNS records and job descriptions, specifically to catch tools like Salesforce that a script-only scan would miss.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"What_does_the_behind_firewall_field_mean_in_a_technology_detection_record\"><\/span>What does the behind_firewall field mean in a technology detection record?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The behind_firewall field is a boolean that shows whether a detection came from a visible website tag or from another source. A false value generally means the technology was detected through website JavaScript or HTML, the common path for front-end tools like HubSpot&#8217;s forms and chat widgets. A true value means the evidence came from DNS records, job descriptions, cookies, or IP ranges instead, which is typical for enterprise software like Salesforce that runs behind a login. This distinction helps you judge how a match was found, not just whether one exists.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"How_fresh_is_HubSpot_and_Salesforce_detection_data\"><\/span>How fresh is HubSpot and Salesforce detection data?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>High-traffic company websites are crawled multiple times daily, and every detection record carries a first_seen_at and last_seen_at timestamp so you can measure exactly how current a match is. Job postings, often the only public trace of Salesforce usage, refresh approximately every 36 hours across the Job Openings dataset. Webhooks can also push a notification the moment a followed company&#8217;s technology detections change, instead of waiting for your next scheduled pull. Always check last_seen_at before treating an older match as current.<\/p>\n\n<h3><span class=\"ez-toc-section\" id=\"Can_PredictLeads_tell_when_a_company_switches_from_HubSpot_to_Salesforce\"><\/span>Can PredictLeads tell when a company switches from HubSpot to Salesforce?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Not with certainty from a detection record alone. A HubSpot detection that is no longer appearing should be read as &#8220;no longer detected,&#8221; since script changes, recrawl gaps, and signature updates can all produce the same gap without a real switch. A new Salesforce detection, paired with a Salesforce-related job posting or an integration mention in Connections data, is stronger supporting evidence of a possible migration, but it still is not confirmation. Treat it as a reason to ask a qualifying question in outreach, not a fact to state outright.<\/p>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"BlogPosting\",\n  \"headline\": \"How to Find Companies Using HubSpot or Salesforce (October 2026)\",\n  \"description\": \"Find companies using HubSpot or Salesforce in October 2026 with technographic detection evidence across 99M+ companies and five independent signal sources.\",\n  \"datePublished\": \"2026-09-01\",\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    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https:\/\/predictleads.com\/logo.png\"\n    }\n  },\n  \"url\": \"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/\",\n  \"mainEntityOfPage\": {\n    \"@type\": \"WebPage\",\n    \"@id\": \"https:\/\/predictleads.com\/blog\/how-to-find-companies-using-hubspot-or-salesforce\/\"\n  },\n  \"wordCount\": 2300,\n  \"keywords\": [\n    \"find companies using HubSpot\",\n    \"find companies using Salesforce\",\n    \"HubSpot technographic data\",\n    \"Salesforce technographic data\",\n    \"behind the firewall technology detection\",\n    \"CRM technographic signals\",\n    \"technology detection API\"\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\": \"How do you find companies using HubSpot in 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Query the PredictLeads Technology Detections dataset for HubSpot by resolving it in the Technologies catalog, then calling the discovery endpoint to list every company with an active detection. Most HubSpot matches come from website script tags, embedded forms, and tracking cookies, since the platform is built to be visible on the front end. Each match carries a first_seen_at and last_seen_at date and a source_count, so you can confirm the signal is recent before acting on it. PredictLeads has logged 2B+ detections since 2018 across 240,000+ technologies, HubSpot included.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can you detect Salesforce usage if it never appears in a company's website code?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. Salesforce's core CRM has no public front end, so most detections come from DNS sender-authentication records, portal subdomains, and job postings that name the platform rather than from a website scan. The behind_firewall field flags this: a true value means the evidence came from a source other than a visible website tag. PredictLeads combines five detection sources, including DNS records and job descriptions, specifically to catch tools like Salesforce that a script-only scan would miss.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What does the behind_firewall field mean in a technology detection record?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The behind_firewall field is a boolean that shows whether a detection came from a visible website tag or from another source. A false value generally means the technology was detected through website JavaScript or HTML, the common path for front-end tools like HubSpot's forms and chat widgets. A true value means the evidence came from DNS records, job descriptions, cookies, or IP ranges instead, which is typical for enterprise software like Salesforce that runs behind a login. This distinction helps you judge how a match was found, not just whether one exists.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How fresh is HubSpot and Salesforce detection data?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"High-traffic company websites are crawled multiple times daily, and every detection record carries a first_seen_at and last_seen_at timestamp so you can measure exactly how current a match is. Job postings, often the only public trace of Salesforce usage, refresh approximately every 36 hours across the Job Openings dataset. Webhooks can also push a notification the moment a followed company's technology detections change, instead of waiting for your next scheduled pull. Always check last_seen_at before treating an older match as current.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can PredictLeads tell when a company switches from HubSpot to Salesforce?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not with certainty from a detection record alone. A HubSpot detection that is no longer appearing should be read as \"no longer detected,\" since script changes, recrawl gaps, and signature updates can all produce the same gap without a real switch. A new Salesforce detection, paired with a Salesforce-related job posting or an integration mention in Connections data, is stronger supporting evidence of a possible migration, but it still is not confirmation. Treat it as a reason to ask a qualifying question in outreach, not a fact to state outright.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the difference between technographic data and firmographic data for CRM targeting?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Firmographic data describes a company's static attributes, like industry, headcount, and location, while technographic data describes which technologies a company shows evidence of using, like HubSpot or Salesforce. Firmographics tell you whether a company fits your ideal customer profile; technographics tell you what it is already running or evaluating right now. PredictLeads pairs both in one Companies record, so you can filter by firmographic fit first and then layer on a technology detection for CRM-specific targeting. Combining the two produces a shorter, better-qualified list than either signal alone.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does PredictLeads provide a list of all companies using HubSpot's CMS?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"PredictLeads provides technology detection records for companies where evidence of HubSpot was found, which you can retrieve in bulk through the discover\/technologies endpoint or as a scheduled flat-file export. This is a list of companies with observed evidence of HubSpot, built from website tags, DNS records, cookies, and job descriptions, not a license count supplied by HubSpot itself. Each record includes a first_seen_at date and a source_count so you can judge how many companies meet your own confidence threshold. Coverage spans 99M+ companies with technology data overall.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How do job openings help detect Salesforce usage?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Job postings that list Salesforce as a required or preferred skill, such as a Salesforce Administrator or Salesforce Developer role, are one of the five sources PredictLeads uses to build technology detections, and often the only public trace of Salesforce for a company with no visible front end. The Job Openings dataset classifies every posting with a standard O*NET occupation code, so postings can be filtered and compared consistently across companies and industries. PredictLeads has logged 279.2M+ job records since 2018 from company career pages, LinkedIn profiles, and ATS integrations. Pairing a job posting with a technology detection builds a stronger case than either signal alone.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is source_count and why does it matter for CRM detections?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"source_count reflects how many independent sources support a given technology detection, out of the five PredictLeads tracks: website script tags, DNS records, IP ranges, cookies, and job descriptions. A higher source_count means more independent evidence agrees the technology is in use, which matters most for tools like Salesforce that rarely show up in more than one source at a time. Pairing source_count with how recent the last_seen_at date is gives you a simple way to tier detections by confidence before using them in outreach or scoring.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I get companies using HubSpot via flat files instead of the API?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. PredictLeads delivers Technology Detections, including HubSpot and Salesforce matches, through scheduled flat-file exports to a destination like Amazon S3, Google Cloud Storage, or SFTP, typically arranged through the sales team. Flat files are built for bulk delivery and warehouse ingestion, such as loading detection history into Snowflake or BigQuery for large-scale analysis, rather than for a single real-time lookup. The same underlying fields, including first_seen_at, last_seen_at, behind_firewall, and source_count, are present in both the API response and the flat-file export.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Is HubSpot a PredictLeads competitor?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"No. HubSpot is a CRM and marketing platform that PredictLeads tracks as a technology, the same way it tracks Salesforce, Snowflake, or any other tool in its 240,000+ technology catalog. PredictLeads is a data provider that supplies technology detection evidence about which companies show signals of using tools like HubSpot, not a CRM or marketing platform itself. Several PredictLeads customers push PredictLeads data into HubSpot or Salesforce as their CRM of record to act on the signals.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How many technologies does PredictLeads track in its catalog?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"PredictLeads tracks 240,000+ technologies in its Technologies catalog, the reference layer behind every technology detection record. Each catalog entry includes a name, description, category and parent category, and pricing data where available, such as whether a tool is typically priced as enterprise, freemium, or usage-based. HubSpot and Salesforce are both cataloged under customer relationship management and marketing categories. The catalog is the starting point for any detection query, since you resolve a technology name or ID here before querying for companies that show evidence of using it.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the rate limit for querying technology detections via the API?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The PredictLeads API allows 60 requests per second, and it asks users to space requests out rather than send them in a single burst. If you exceed the limit, the API returns a 429 status code along with a Retry-After header telling you how long to wait before trying again. A separate 402 status code is returned if you exceed your monthly credit limit rather than the per-second rate limit. 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