Databento growth playbook

Prerender (or server-render) the homepage, pricing and catalog templates the same way the marketing pages are built. Give every catalog page its own title and description from data Databento already has, e.g. "NVDA tick data: Nasdaq TotalView-ITCH order book, trades and OHLCV, history from 2018 | Databento", a short HTML summary of schemas, history start and a sample query, and Dataset structured data. Return a real 404 for symbols that do not exist. Then rewrite pricing as a static table of the plans and per-GB historical pricing so it can be quoted and linked.

Searches for "<ticker> tick data", "<futures root> historical data" and "<venue> order book API" are exactly what quants and developers type, and each of the 1,564 pages already exists as a target. Readable pages can rank, be cited by AI assistants and unfurl properly when a quant shares a link in a team chat, without new content being written.

[ ] Plain HTTP request returns the symbol name, venue and history range
[ ] Unique <title> and meta description per symbol
[ ] Dataset structured data
[ ] Code sample in Python visible in HTML
[ ] Unknown symbols return 404
[ ] /pricing table readable without JavaScript
[ ] Link previews tested in Slack and LinkedIn
[ ] Search Console: indexed count tracked weekly

• Prices or coverage go stale in HTML

  Rebuild pages nightly from the same source the app uses.

• Thin pages across thousands of symbols

  Lead with the unique data (history range, schemas, sample) and keep pages that have real coverage only.

• HiringProduct Marketing Specialist (remote, open on Greenhouse, updated November 2, 2026): "Write and review landing pages, activation flows, and sales copy to drive engagement and conversion"; "Drive product marketing initiatives, including positioning, messaging, and launch campaigns"; "Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification)"; work "with product, sales, and growth teams on experiments, campaigns, and activation strategies"; writing samples should include "landing pages, blog articles, SEO content". The role will "help shape the marketing function at Databento".Source
• Your websiteChecked November 4, 2026 with a plain HTTP request: the homepage, /pricing, /signup and the symbol catalog pages (for example /catalog/us-equities/XNAS.ITCH/stocks/NVDA) all return the same 17.9 KB page whose only title is "Databento" and whose only text is "You need to enable JavaScript to run this app", with the same generic description on every one. A made-up symbol (/catalog/us-equities/XNAS.ITCH/stocks/ZZZZZ) also answers 200 with that page. Nothing on these pages is readable without running JavaScript.Source
• Your websiteBy contrast the marketing and docs pages are full HTML with their own titles: /futures ("Futures Market Data - Live and historical futures data API", 430 KB), /options, /tick-data, /venues, /datasets/GLBX.MDP3 ("CME Globex MDP 3.0 | CME futures historical & live data API"), /docs and every blog post.Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source
• HiringSoftware Engineer (TypeScript/JavaScript): "Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with", including "publishing to npm"; also front-end work in React, Redux and Vite and translating Figma designs into "production-ready components and design systems". Today the official client libraries are Python, C++ and Rust, and no Databento package is listed on npm.Source

Once the catalog pages render as HTML (idea 1), generate sitemap entries for every listed symbol with real coverage, split into sitemaps of up to 50,000 URLs, with lastmod set when coverage changes. Link symbols to each other from dataset pages (for example "most requested Nasdaq stocks") so they are crawled.

Long-tail tickers are where users struggle to find clean tick data and where competitors have fewer pages, so each one is a cheap, high-intent entry point.

• Crawl budget spent on thin pages

  Publish symbols with real history only, and prune delisted ones.

• #1 Make the homepage, pricing page and 1,564 catalog pages readable without JavaScript

• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source
• Your websiteChecked November 4, 2026 with a plain HTTP request: the homepage, /pricing, /signup and the symbol catalog pages (for example /catalog/us-equities/XNAS.ITCH/stocks/NVDA) all return the same 17.9 KB page whose only title is "Databento" and whose only text is "You need to enable JavaScript to run this app", with the same generic description on every one. A made-up symbol (/catalog/us-equities/XNAS.ITCH/stocks/ZZZZZ) also answers 200 with that page. Nothing on these pages is readable without running JavaScript.Source
• Your websitePricing update effective June 22, 2026: Standard CME Globex MDP 3.0 $199 a month, Plus $1,750, Unlimited $4,500, Databento US Equities $4,000, each ICE plan $2,500. Historical data stays pay-as-you-go ("Usage-based historical data is not being removed"), charged per GB, and new sign-ups get "$125 in free credits" (homepage description).Source

Use the IEX Cloud guide's format: venue coverage, data depth (L1/L2/L3), sourcing, history length, pricing model, client libraries and licensing. Be honest about where a rival fits better, as the sales posts ask sellers to be. Add a "switching from X" code snippet.

Comparison searches are late-stage and high intent, and an even-handed page is trusted by technical buyers and cited by AI assistants.

• Rival pricing changes

  Show the date checked and link sources.

• Your websiteThe IEX Cloud migration guide (June 2024) compares features side by side (venue coverage, pricing by GB versus message count, APIs and client libraries, L1 versus L2/L3 data) and says "we've seen a large number of users migrating over to Databento".Source
• Competitor researchRivals' own homepages: Massive (polygon.io now redirects to massive.com), "Stock API with real-time and historical tick data, unlimited usage" with an "Instant access free tier"; algoseek, "Real-time and historical market data for US equities, options, and futures", "Explore a year of data, no credit card"; Intrinio, "a real time data partner"; Tiingo, a financial research platform with an API. Bloomberg, LSEG and exchange-direct feeds are the incumbents Databento's job posts describe as "stuck in the past".See the research Source
• HiringQuantitative Sales Associate (US) and Financial Data Sales Associates for APAC and EMEA (all open, updated November 2, 2026): own the technical sales process, "providing data samples", "Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust", "Gather customer feedback, testimonials, case studies, and more", and "automate processes in HubSpot"; sellers should be "honest when our product isn't the best fit, not being too pushy or salesy".Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source

Load Stripe only on the billing and checkout routes, split the app bundle by route so the homepage ships only what it shows, and remove the zoom block (user-scalable=no). Re-test in PageSpeed and track real-user numbers in Search Console.

Faster pages lift sign-up rates from paid and organic visitors, and pass Google's page experience signals for the new catalog pages too.

• Breaking the portal

  Test billing flows end to end before release.

• Google PageSpeedHomepage on mobile scores 40/100 (desktop 73): main content appears after 7.8 seconds in the phone test, 2,889 ms of blocking time, 3.3 MB over 129 requests of which 2.9 MB is JavaScript; about 1.7 MB of it is unused (about 2.4 seconds); Stripe's scripts add 854 KB and 417 ms of blocking on the homepage. Real Chrome visitors fail Core Web Vitals: largest paint 2.5 seconds at the 75th percentile (just over the limit) and interaction 243 ms (limit 200 ms). Accessibility scores 69 (buttons without names, low contrast, zoom disabled).Source
• HiringSoftware Engineer (TypeScript/JavaScript): "Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with", including "publishing to npm"; also front-end work in React, Redux and Vite and translating Figma designs into "production-ready components and design systems". Today the official client libraries are Python, C++ and Rust, and no Databento package is listed on npm.Source
• Your websiteChecked November 4, 2026 with a plain HTTP request: the homepage, /pricing, /signup and the symbol catalog pages (for example /catalog/us-equities/XNAS.ITCH/stocks/NVDA) all return the same 17.9 KB page whose only title is "Databento" and whose only text is "You need to enable JavaScript to run this app", with the same generic description on every one. A made-up symbol (/catalog/us-equities/XNAS.ITCH/stocks/ZZZZZ) also answers 200 with that page. Nothing on these pages is readable without running JavaScript.Source

Plan two CEO posts a week for LinkedIn and X: one lesson from building the business (pricing per GB, owning feed handlers for 70+ exchanges, staying lean) and one customer or data story. The PMM drafts, the CEO edits, and every post links to a relevant page.

Founders in fintech data are followed by buyers, and a steady cadence turns one funding announcement into months of reach.

• Founder time

  Batch reviews into one weekly slot.

• HiringProduct Marketing Specialist (remote, open on Greenhouse, updated November 2, 2026): "Write and review landing pages, activation flows, and sales copy to drive engagement and conversion"; "Drive product marketing initiatives, including positioning, messaging, and launch campaigns"; "Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification)"; work "with product, sales, and growth teams on experiments, campaigns, and activation strategies"; writing samples should include "landing pages, blog articles, SEO content". The role will "help shape the marketing function at Databento".Source
• Your websiteSeries B announcement (July 9, 2026): $97 million led by NEA with DRW, Redpoint Ventures and Tribe Capital; "We've grown revenue 6.65x year-over-year while maintaining 97% enterprise retention since inception", profitable, "fewer than 30 engineers", own feed handlers "for over 70 exchanges", "more than 3,000 companies worldwide"; customers include hedge funds, prop firms, broker-dealers, fintechs, "physical commodities traders, digital asset firms, and frontier AI labs".Source
• Your websiteAbout page: founded February 2019, Series A in November 2021, public launch of "pay-as-you-go historical data" in April 2023; the team comes from Two Sigma, Flow Traders, Tower Research, Google, Stripe and AWS and spans eight time zones; "thousands of users—from pre-product startups to investment firms with billions in AUM".Source

Show the estimated cost before each historical request in the portal and client libraries (the docs already describe metered pricing and unit prices), make monthly spend limits a default on new accounts, and write a public "how pricing per GB works" page with worked examples.

Predictable spend lets developers explore more of the catalog, and fewer disputes free billing and support for paying customers.

• Limits interrupt real work

  Warn at 80% and let owners raise limits in one click.

• HiringSupport hiring: Technical Support Engineers (L1) for the US, APAC and EU who "Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials", write tutorials and blog posts, and "Help manage and grow our online developer communities (Slack, Reddit, etc.)". A Billing Support Specialist handles "invoices, payments, accidental charges, and disputes", using usage dashboards "to identify the source of a discrepancy (e.g., duplicate requests, overages)", and supports "renewals and mid-term upgrades".Source
• Your websitePricing update effective June 22, 2026: Standard CME Globex MDP 3.0 $199 a month, Plus $1,750, Unlimited $4,500, Databento US Equities $4,000, each ICE plan $2,500. Historical data stays pay-as-you-go ("Usage-based historical data is not being removed"), charged per GB, and new sign-ups get "$125 in free credits" (homepage description).Source
• Your websiteStartups page: "Explore for free, onboard in minutes, and only pay for the data you use"; "Trusted by 400+ developers from tech startups valued over $1B", "80+ emerging managers and CTAs over $100M AUM", "$295B+ AUM of hedge funds whose researchers use Databento"; "no subscription required for historical data".Source

Ask one question at sign-up (equities, futures, options; research or live trading), then send a ready-to-run notebook for that answer with their API key filled in, a three-email sequence with next queries, and a nudge to the right plan when live data is needed.

Personalized first steps lift activation in developer products, and the credits make the first query free.

• Extra sign-up friction

  Make the question optional.

• HiringProduct Marketing Specialist (remote, open on Greenhouse, updated November 2, 2026): "Write and review landing pages, activation flows, and sales copy to drive engagement and conversion"; "Drive product marketing initiatives, including positioning, messaging, and launch campaigns"; "Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification)"; work "with product, sales, and growth teams on experiments, campaigns, and activation strategies"; writing samples should include "landing pages, blog articles, SEO content". The role will "help shape the marketing function at Databento".Source
• Your websitePricing update effective June 22, 2026: Standard CME Globex MDP 3.0 $199 a month, Plus $1,750, Unlimited $4,500, Databento US Equities $4,000, each ICE plan $2,500. Historical data stays pay-as-you-go ("Usage-based historical data is not being removed"), charged per GB, and new sign-ups get "$125 in free credits" (homepage description).Source
• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source

Target one story per missing segment this quarter: an AI team using historical data, a commodities trader on ICE or CME energy, and an APAC firm. Use a short interview template and publish with numbers (time to production, data cost saved).

Buyers look for peers like themselves, and each new segment story unlocks outreach to that segment.

• Firms refuse to be named

  Offer anonymized stories with verified figures.

• HiringQuantitative Sales Associate (US) and Financial Data Sales Associates for APAC and EMEA (all open, updated November 2, 2026): own the technical sales process, "providing data samples", "Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust", "Gather customer feedback, testimonials, case studies, and more", and "automate processes in HubSpot"; sellers should be "honest when our product isn't the best fit, not being too pushy or salesy".Source
• Your websiteSeries B announcement (July 9, 2026): $97 million led by NEA with DRW, Redpoint Ventures and Tribe Capital; "We've grown revenue 6.65x year-over-year while maintaining 97% enterprise retention since inception", profitable, "fewer than 30 engineers", own feed handlers "for over 70 exchanges", "more than 3,000 companies worldwide"; customers include hedge funds, prop firms, broker-dealers, fintechs, "physical commodities traders, digital asset firms, and frontier AI labs".Source
• Your websiteCustomers page: nine stories (Architect, Double River, Fenrir, Cybersyn on Snowflake, Lime Trading, Temple Capital, Tickblaze, UC Berkeley's MFE program and Bitso) plus testimonials, one calling Databento "the first market data provider I have ever seen that is truly an 'as-a-service' solution". None is from Asia-Pacific or a commodities trading house, and none from an AI lab.Source

Build an EMEA page (Eurex, ICE Europe, EEX coverage, London support hours) and an APAC page (US and European markets from Asia, Asia-hours support, Shanghai meetup), each with a booking link to the regional seller.

Regional pages give local sellers a landing page for outreach and events, and show buyers support during their business hours.

• Thin local proof

  Start with coverage and support hours, add stories as they arrive.

• HiringQuantitative Sales Associate (US) and Financial Data Sales Associates for APAC and EMEA (all open, updated November 2, 2026): own the technical sales process, "providing data samples", "Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust", "Gather customer feedback, testimonials, case studies, and more", and "automate processes in HubSpot"; sellers should be "honest when our product isn't the best fit, not being too pushy or salesy".Source
• HiringSupport hiring: Technical Support Engineers (L1) for the US, APAC and EU who "Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials", write tutorials and blog posts, and "Help manage and grow our online developer communities (Slack, Reddit, etc.)". A Billing Support Specialist handles "invoices, payments, accidental charges, and disputes", using usage dashboards "to identify the source of a discrepancy (e.g., duplicate requests, overages)", and supports "renewals and mid-term upgrades".Source
• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source

Treat the release as a launch: a quickstart, a sample React dashboard streaming live data, a blog post, a Hacker News and X announcement, and listings in npm search with clear keywords. Track installs to sign-ups.

A new language opens a new developer audience, and a polished launch gets the library noticed beyond existing users.

• Maintenance load

  Generate from the same specs as other clients.

• HiringSoftware Engineer (TypeScript/JavaScript): "Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with", including "publishing to npm"; also front-end work in React, Redux and Vite and translating Figma designs into "production-ready components and design systems". Today the official client libraries are Python, C++ and Rust, and no Databento package is listed on npm.Source
• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source
• HiringProduct Marketing Specialist (remote, open on Greenhouse, updated November 2, 2026): "Write and review landing pages, activation flows, and sales copy to drive engagement and conversion"; "Drive product marketing initiatives, including positioning, messaging, and launch campaigns"; "Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification)"; work "with product, sales, and growth teams on experiments, campaigns, and activation strategies"; writing samples should include "landing pages, blog articles, SEO content". The role will "help shape the marketing function at Databento".Source

Create a repeatable kit: landing page section, blog post, diagram, LinkedIn and X posts, an email to users of related datasets, a short video and a sales one-pager. Run it for every release and measure sign-ups per launch.

A consistent kit makes every release reach existing users who can upgrade and new users searching for that data.

• Launch fatigue

  Email only users who use related data.

• HiringVisual Designer (posted October 19, 2026): "Design responsive pages for Databento's marketing website, with a focus on usability, visual hierarchy, and conversion"; assets "for product launches, campaigns, blog posts, and social media"; event signage; "Turn complex financial and technical concepts into illustrations, diagrams, and infographics"; nice-to-haves include "A/B testing, and conversion analytics".Source
• HiringProduct Marketing Specialist (remote, open on Greenhouse, updated November 2, 2026): "Write and review landing pages, activation flows, and sales copy to drive engagement and conversion"; "Drive product marketing initiatives, including positioning, messaging, and launch campaigns"; "Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification)"; work "with product, sales, and growth teams on experiments, campaigns, and activation strategies"; writing samples should include "landing pages, blog articles, SEO content". The role will "help shape the marketing function at Databento".Source
• Your websiteRecent launches on the blog: "Introducing Databento Core Indices" (October 14, 2026), "Introducing epoch.to" (September 17, 2026), plus integration posts with QuantConnect LEAN, OpenBB, QuestDB, Shakudo and Snowflake (Cybersyn). A public product roadmap lives at roadmap.databento.com, where users "submit dataset or feature requests".Source

Turn the top ten tutorials into 5 to 10-minute screen recordings with code, plus short clips for X and LinkedIn. Link each video to its notebook and the free credits.

Quants and developers learn on YouTube, and tutorial videos keep ranking for years.

• Low production time

  Keep videos unpolished and code-first.

• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source
• HiringSupport hiring: Technical Support Engineers (L1) for the US, APAC and EU who "Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials", write tutorials and blog posts, and "Help manage and grow our online developer communities (Slack, Reddit, etc.)". A Billing Support Specialist handles "invoices, payments, accidental charges, and disputes", using usage dashboards "to identify the source of a discrepancy (e.g., duplicate requests, overages)", and supports "renewals and mid-term upgrades".Source
• HiringVisual Designer (posted October 19, 2026): "Design responsive pages for Databento's marketing website, with a focus on usability, visual hierarchy, and conversion"; assets "for product launches, campaigns, blog posts, and social media"; event signage; "Turn complex financial and technical concepts into illustrations, diagrams, and infographics"; nice-to-haves include "A/B testing, and conversion analytics".Source

Write a page for AI teams: history depth, normalized schemas, Parquet and binary formats, licensing for model training, and bulk delivery. Add a technical guide on building time-series datasets from MBO data. Route enquiries to the quant sales team.

AI teams have large budgets and a specific need, and a clear page shortens their evaluation.

• Licensing limits

  Be explicit about what each exchange permits.

• Your websiteSeries B announcement (July 9, 2026): $97 million led by NEA with DRW, Redpoint Ventures and Tribe Capital; "We've grown revenue 6.65x year-over-year while maintaining 97% enterprise retention since inception", profitable, "fewer than 30 engineers", own feed handlers "for over 70 exchanges", "more than 3,000 companies worldwide"; customers include hedge funds, prop firms, broker-dealers, fintechs, "physical commodities traders, digital asset firms, and frontier AI labs".Source
• Your websiteStartups page: "Explore for free, onboard in minutes, and only pay for the data you use"; "Trusted by 400+ developers from tech startups valued over $1B", "80+ emerging managers and CTAs over $100M AUM", "$295B+ AUM of hedge funds whose researchers use Databento"; "no subscription required for historical data".Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source

In HubSpot, flag accounts whose usage crosses a plan threshold or who start testing live data, and have a sales associate send a short, honest note with the cheaper option. Track upgrades and churn.

Helping customers pay less builds trust and moves them onto plans that retain better.

• Revenue loss from downgrades

  Recommend only where the plan adds value too.

• Your websitePricing update effective June 22, 2026: Standard CME Globex MDP 3.0 $199 a month, Plus $1,750, Unlimited $4,500, Databento US Equities $4,000, each ICE plan $2,500. Historical data stays pay-as-you-go ("Usage-based historical data is not being removed"), charged per GB, and new sign-ups get "$125 in free credits" (homepage description).Source
• HiringQuantitative Sales Associate (US) and Financial Data Sales Associates for APAC and EMEA (all open, updated November 2, 2026): own the technical sales process, "providing data samples", "Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust", "Gather customer feedback, testimonials, case studies, and more", and "automate processes in HubSpot"; sellers should be "honest when our product isn't the best fit, not being too pushy or salesy".Source
• Your websiteSeries B announcement (July 9, 2026): $97 million led by NEA with DRW, Redpoint Ventures and Tribe Capital; "We've grown revenue 6.65x year-over-year while maintaining 97% enterprise retention since inception", profitable, "fewer than 30 engineers", own feed handlers "for over 70 exchanges", "more than 3,000 companies worldwide"; customers include hedge funds, prop firms, broker-dealers, fintechs, "physical commodities traders, digital asset firms, and frontier AI labs".Source
• HiringSupport hiring: Technical Support Engineers (L1) for the US, APAC and EU who "Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials", write tutorials and blog posts, and "Help manage and grow our online developer communities (Slack, Reddit, etc.)". A Billing Support Specialist handles "invoices, payments, accidental charges, and disputes", using usage dashboards "to identify the source of a discrepancy (e.g., duplicate requests, overages)", and supports "renewals and mid-term upgrades".Source

Each week, turn the best Slack answers into public FAQ entries or short docs pages, linked from the related dataset and catalog pages. Track tickets deflected.

Public answers reduce support load and rank for the precise questions developers search.

• Outdated answers

  Date entries and review quarterly.

• HiringSupport hiring: Technical Support Engineers (L1) for the US, APAC and EU who "Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials", write tutorials and blog posts, and "Help manage and grow our online developer communities (Slack, Reddit, etc.)". A Billing Support Specialist handles "invoices, payments, accidental charges, and disputes", using usage dashboards "to identify the source of a discrepancy (e.g., duplicate requests, overages)", and supports "renewals and mid-term upgrades".Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source
• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source

Build /integrations with a card per tool, setup steps and a link to each partner's docs; ask each partner to list Databento back; add a "request an integration" link to the public roadmap.

Integrations bring partner traffic and make Databento the easy choice inside tools developers already use.

• Partners slow to list back

  Start with the most active partners.

• Your websiteRecent launches on the blog: "Introducing Databento Core Indices" (October 14, 2026), "Introducing epoch.to" (September 17, 2026), plus integration posts with QuantConnect LEAN, OpenBB, QuestDB, Shakudo and Snowflake (Cybersyn). A public product roadmap lives at roadmap.databento.com, where users "submit dataset or feature requests".Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source
• Your websiteCustomers page: nine stories (Architect, Double River, Fenrir, Cybersyn on Snowflake, Lime Trading, Temple Capital, Tickblaze, UC Berkeley's MFE program and Bitso) plus testimonials, one calling Databento "the first market data provider I have ever seen that is truly an 'as-a-service' solution". None is from Asia-Pacific or a commodities trading house, and none from an AI lab.Source

Offer an academic program: course credits, a teaching dataset, guest lectures and a student project showcase. Approach the top 20 MFE and quant programs with the Berkeley story.

Students who learn on Databento bring it to their first employer, a slow but compounding channel.

• Credits abused

  Limit by university email and course.

• Your websiteCustomers page: nine stories (Architect, Double River, Fenrir, Cybersyn on Snowflake, Lime Trading, Temple Capital, Tickblaze, UC Berkeley's MFE program and Bitso) plus testimonials, one calling Databento "the first market data provider I have ever seen that is truly an 'as-a-service' solution". None is from Asia-Pacific or a commodities trading house, and none from an AI lab.Source
• Your websiteStartups page: "Explore for free, onboard in minutes, and only pay for the data you use"; "Trusted by 400+ developers from tech startups valued over $1B", "80+ emerging managers and CTAs over $100M AUM", "$295B+ AUM of hedge funds whose researchers use Databento"; "no subscription required for historical data".Source
• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source

Once pages render (idea 1), add a daily OHLCV chart, a one-day sample download behind a free account, and a "price this request" button. Measure sign-ups per page.

Useful pages attract links and repeat visits, and samples turn visitors into accounts before they spend credits.

• Exchange display rules

  Use delayed or end-of-day data where required.

• #1 Make the homepage, pricing page and 1,564 catalog pages readable without JavaScript

• Competitor researchRivals' own homepages: Massive (polygon.io now redirects to massive.com), "Stock API with real-time and historical tick data, unlimited usage" with an "Instant access free tier"; algoseek, "Real-time and historical market data for US equities, options, and futures", "Explore a year of data, no credit card"; Intrinio, "a real time data partner"; Tiingo, a financial research platform with an API. Bloomberg, LSEG and exchange-direct feeds are the incumbents Databento's job posts describe as "stuck in the past".See the research Source
• Your websiteChecked November 4, 2026 with a plain HTTP request: the homepage, /pricing, /signup and the symbol catalog pages (for example /catalog/us-equities/XNAS.ITCH/stocks/NVDA) all return the same 17.9 KB page whose only title is "Databento" and whose only text is "You need to enable JavaScript to run this app", with the same generic description on every one. A made-up symbol (/catalog/us-equities/XNAS.ITCH/stocks/ZZZZZ) also answers 200 with that page. Nothing on these pages is readable without running JavaScript.Source
• Your websitePricing update effective June 22, 2026: Standard CME Globex MDP 3.0 $199 a month, Plus $1,750, Unlimited $4,500, Databento US Equities $4,000, each ICE plan $2,500. Historical data stays pay-as-you-go ("Usage-based historical data is not being removed"), charged per GB, and new sign-ups get "$125 in free credits" (homepage description).Source

Publish a yearly report on what firms of each size spend on data, licensing and infrastructure, with anonymized aggregates and a survey. Launch with the CEO in press and on LinkedIn.

Original data earns press and links, and positions Databento as the honest voice in a costly market.

• Low survey response

  Offer credits for participation.

• Your websitePricing update effective June 22, 2026: Standard CME Globex MDP 3.0 $199 a month, Plus $1,750, Unlimited $4,500, Databento US Equities $4,000, each ICE plan $2,500. Historical data stays pay-as-you-go ("Usage-based historical data is not being removed"), charged per GB, and new sign-ups get "$125 in free credits" (homepage description).Source
• Your websiteSitemap index (14 sitemaps, 2,495 URLs, checked November 4, 2026): 1,564 catalog symbol pages (exactly 500 US equities and ETFs, 200 OPRA options roots, 190 index, 178 CME, 186 Eurex, 100 ICE Europe and 95 ICE US, among others), 381 docs pages, 185 blog posts, 181 trading-compliance pages, 115 market microstructure pages, 31 dataset pages, 10 customer pages and a /startups page. No page compares Databento with a named vendor except one migration guide for IEX Cloud users; no integrations page; no /llms.txt.Source
• Your websiteSeries B announcement (July 9, 2026): $97 million led by NEA with DRW, Redpoint Ventures and Tribe Capital; "We've grown revenue 6.65x year-over-year while maintaining 97% enterprise retention since inception", profitable, "fewer than 30 engineers", own feed handlers "for over 70 exchanges", "more than 3,000 companies worldwide"; customers include hedge funds, prop firms, broker-dealers, fintechs, "physical commodities traders, digital asset firms, and frontier AI labs".Source

Add a newsletter form to the blog and docs, send a monthly issue (one launch, one tutorial, one quant profile, one data fact), and segment by asset class.

A newsletter keeps prospects warm until they need data and gives every launch a ready audience.

• Low open rates

  Keep issues short and useful.

• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source
• Your websiteRecent launches on the blog: "Introducing Databento Core Indices" (October 14, 2026), "Introducing epoch.to" (September 17, 2026), plus integration posts with QuantConnect LEAN, OpenBB, QuestDB, Shakudo and Snowflake (Cybersyn). A public product roadmap lives at roadmap.databento.com, where users "submit dataset or feature requests".Source
• HiringProduct Marketing Specialist (remote, open on Greenhouse, updated November 2, 2026): "Write and review landing pages, activation flows, and sales copy to drive engagement and conversion"; "Drive product marketing initiatives, including positioning, messaging, and launch campaigns"; "Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification)"; work "with product, sales, and growth teams on experiments, campaigns, and activation strategies"; writing samples should include "landing pages, blog articles, SEO content". The role will "help shape the marketing function at Databento".Source

Record each talk, publish it on YouTube with a written summary, add a meetup page listing upcoming cities, and invite attendees to a city-specific Slack channel. Add New York and Singapore.

Recorded talks extend reach to every quant who could not attend and give regional sellers a reason to invite prospects.

• Speakers decline recording

  Ask in advance; record only those who agree.

• ChannelsYouTube @Databento: 997 subscribers, 23 videos, 23,301 views. Hacker News: "Why we didn't rewrite our feed handler in Rust" (38 points, September 2026). The databento Python package is on version 0.90.0 (released November 3, 2026), with open-source Python, C++ and Rust clients on GitHub. The blog runs a 21-part "Quants worth following" series and recaps quant meetups in Chicago, London and Shanghai. No newsletter sign-up was found on the site.Source
• HiringQuantitative Sales Associate (US) and Financial Data Sales Associates for APAC and EMEA (all open, updated November 2, 2026): own the technical sales process, "providing data samples", "Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust", "Gather customer feedback, testimonials, case studies, and more", and "automate processes in HubSpot"; sellers should be "honest when our product isn't the best fit, not being too pushy or salesy".Source
• HiringVisual Designer (posted October 19, 2026): "Design responsive pages for Databento's marketing website, with a focus on usability, visual hierarchy, and conversion"; assets "for product launches, campaigns, blog posts, and social media"; event signage; "Turn complex financial and technical concepts into illustrations, diagrams, and infographics"; nice-to-haves include "A/B testing, and conversion analytics".Source