For GTM teams selling to technical buyers
Some key intent signals we can track for MongoDB
Engineering teams running open-source databases like these
Developers evaluating solutions like these, incognito
Companies pulling the mongo image and installing MongoDB drivers
Companies connecting the MongoDB MCP server from Claude, Cursor or Codex
Reo tracks activity across multiple platforms, both first party and 3rd party, to identify developer intent to use MongoDB.
We identify which companies' developers are running MongoDB Community Edition, pulling the mongo Docker image and installing drivers like pymongo and mongoose.
We consume telemetry data to track usage of MongoDB's products and flag milestones that could mean intent, like a self-hosted cluster growing.
We integrate with your site and docs to see which companies' developers are reading your Atlas docs, driver docs and Enterprise Advanced pages.
We put the Agent Intent Gateway in front of your product docs and the MongoDB MCP server, so every question an agent asks is attributed to an account. Claude Code, Cursor and Codex run the evaluation now, and none of that traffic reaches your analytics.
We track activity on your website, product pages, the Atlas pricing page, etc. to triangulate signals.
We deanonymize developers signing up for MongoDB Atlas with GitHub or Google and track their activity, to separate noise from opportunities.
We track GitHub activity around open-source projects like mongodb/mongo and Automattic/mongoose to find contacts interested in your solution, enriching ~50% of developers engaging with GitHub.
We track public Slack channels to identify intent to use MongoDB or your competitors.
We track channels like Reddit, Stack Overflow, Hacker News, dev.to, etc. to pull in developer conversations that could mean intent for MongoDB.
We integrate with your LinkedIn and communities to pull in engagement data from there.
We track developer job changes to identify when key decision makers move to new companies that might need MongoDB.
Always-on agents watch our own database and public signals for the moves that mean budget: technologies being adopted or migrated away from, engineering teams growing, and your target roles being hired. Custom AI columns scrape any source you point them at and turn the answer into a filter you can segment on.
Every one of 113M engineering profiles is mapped against 65k+ tech skills, then enriched with the repos they contribute to and the product activity we track for you. You get the person to call, not just an account that looks warm.
We triangulate a shortlist of individual buyers based on:
Skills extracted from LinkedIn & GitHub
Highlighted skills map directly to the ICP for MongoDB.
Projects & contributions
mongodb/mongoAutomattic/mongoosemongodb/node-mongodb-nativeapache/kafkaSample profile for illustration. Northwind Labs and Priya Raman are fictional.
Add identified buyers to outreach sequences or marketing campaigns via our integrated tools.
Query your Reo data in plain English inside Claude
Get real-time account, developer, and buyer alerts inside Slack
Pull any data you need into your own systems and workflows
Get context of data and profiles directly in your workspace or browser
Easily send your data to your CRMs
Target the right decision-makers with personalized outreach based on their specific developer intent signals.
Run targeted marketing campaigns to nurture prospects based on their stage in the buyer journey.
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“Unstructured uses Reo to turn open-source adoption into enterprise pipeline. It shows which developers are pulling Docker images, running CLI commands, and engaging on GitHub, so reps reach champions already using the product. 40% of pipeline now comes from Reo-identified accounts, with 20% more meetings.”Orlando NievesRevOps Lead, Unstructured
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