Developer Go-to-market Signals Guide

Filter accounts based on the number of developers whose identities have been uncovered and verified by Reo.Dev

Filter accounts based on the number of developers active on your first party assets.

Filter accounts based on a score that measures developer activity and engagement across platforms like Github, product documentation etc.

Filter accounts based on their annual revenue within specified ranges.

They’re looking for a solution to a problem your product addresses—without naming it directly. Signals they’re in the early stages of exploration.

They installed your CLI or SDK, then used commands like connect, deploy, or init.

Filter accounts based on the city where developers are most actively engaging from.

They’re engaging with a competitor’s community—watch for influence, preferences, or comparisons.

They’re participating in discussions around related tooling.

They’re engaging in a conversation on your repo—could be about issues, PRs, or feedback.

They’re engaging with your content publicly and researching technical fit in parallel.

The broader set of tools and platforms used by a company—across cloud, infra, data, DevOps, and more.

They’re likely exploring alternatives and found your tool promising.

They’re actively struggling with something you’re built to solve—whether it’s performance, workflow, or debugging. Often happens in technical forums.

They’re facing a pain point and already looking at how your product might help.

They’re frustrated with something your competitor does or lacks—often reveals gaps they’re motivated to fix.

They’re dissatisfied and looking at your alternatives—could be evaluating a switch.

They’re integrating your tool with part of their stack—like a database, cloud, or third-party tool.

They’re wiring your product into their stack and validating setup.

They’re setting something up or trying to run the product—often a clear sign of implementation.

Filter accounts based on their geographic locations and focus on specific countries.

Filter accounts based on custom tags. Custom tags are used to quickly spot accounts that match the tag criteria.

Filter buyers based on custom tags. Custom tags are used to surface developers that match the tag criteria.

Filter developers based on custom tags. Custom tags are used to surface developers that match the tag criteria.

Filter accounts, contacts & buyers based on your uploaded target lists.

Accounts at this stage are marked as customers in your CRM.

Filter accounts based on a score that indicates a strong alignment with your ICP. The score is categorized into - strong, moderate and weak.

Filter accounts based on developers building proof of concepts (POCs) to test out various use cases to validate your product’s effectiveness.

Filter accounts where developers have integrated your product into their production systems.

Filter accounts based on developers actively evaluating your product in terms of the features, compatibility, and performance.

Filter accounts based on developers discovering your product and assessing its relevance.

Filter developers based on a score that measures developer activity and engagement across platforms like Github, product documentation etc.

The primary languages, skills, or frameworks used by developers at an account.

They’re looking at your code and a competitor’s—possibly comparing tradeoffs, integration patterns, or contribution history.

They’re frustrated with the current solution—and vocal about it.

They’re trying the tool and running into real-world problems—or suggesting improvements.

Accounts at this stage have interacted with some of your first-party assets but are not in your CRM yet.

They’re consuming thought leadership and exploring code—signals multi-surface interest.

Filter accounts based on number of employees within a specified range.

They’re responding to your content—likes may reflect passive interest, while comments or shares suggest stronger alignment with your message.

Identify previous buyers from customer accounts or past deals who have moved to an ICP company.

Number of engineers at the company, often segmented by role or department.

They’re signaling clear technical intent—likely trying to build, test, or evaluate something deeply.

They want to stay in the loop—often signals early awareness or passive research.

They’re copying a competitor’s code—often to test it or try it in their own setup.

They’re exploring or customizing a tool that integrates well with your product.

They want to copy your code to explore it, try changes, or build something with it.

Filter accounts based on the year they were established.

A developer is exploring your GitHub repo (e.g., starring, watching, issues) and viewing your docs—especially setup or integration guides.

Filter developers whose LinkedIn ID has been identified by Reo.Dev

Filter accounts that have shown a recent spike in developer activity.

Filter developers whose business email has been identified by Reo.Dev

They’re growing and investing in specific areas—sales, infra, platform, or security. These roles often show up when a company is scaling or formalizing a function.

The specific technical domains a company is hiring for—e.g., DevOps, Security, Frontend, AI/ML.

Whether the company is actively hiring for engineering or technical roles at the moment.

The seniority level of roles a company is hiring for—ICs vs leads vs VPs.

Accounts at this stage are present in the deals/opportunity stage in your CRM.

Accounts at this stage have interacted only with your competitors product assets and are not in your CRM yet.

Accounts at this stage are at various stages in your CRM pipeline.

Filter accounts based on their industry or sector of operation.

They’re exploring technical implementation or integrations—not just lurking.

They’re not just curious—they joined your community and immediately tried to get unblocked.

They’re diving into specific use cases or implementation topics. Likely working through real-world evaluation or trying to get unblocked.

They’re interested in what you’re building and want to stay up to date—likely exploring your product or community.

Filter accounts based on specific keywords associated with them.

They’re under cost pressure or restructuring. This may sound negative—but for infra tools that replace headcount or automate tasks, it’s a major opportunity.

They’re returning to the product—suggesting ongoing exploration, testing, or early-stage implementation.

They’re active across public and private surfaces. Suggests deeper interest or traction.

They’re curious and publicly asking others what they think—signals active evaluation.

They referenced your product publicly—often to ask for feedback, share experience, or compare options. This shows they’re aware of your tool and feel it’s relevant enough to surface in conversation.

They’re weighing options and tradeoffs—often part of a decision cycle.

Several devs from the same org are starring, watching, or forking your repo.

It’s not just one dev—there’s team-wide motion happening.

Automatically assigned to profiles of developers and buyers who have been in their current company for less than 6 months.

They’re actively using a competitor’s tool and giving feedback or reporting bugs.

They’re involved in related projects and raising bugs or ideas there.

They’ve found a bug or have feedback and want to raise it in your repo.

Identify developers who were champions of your product at a previous company (customer) and have now joined a new ICP company in your pipeline.

Identify developers who were customers of your product at a previous org and have now joined a new ICP company in your target list.

They’re trying the tool, asking questions, and exploring implementation all at once.

They’re engaging with others in your community—often to ask a question, share feedback, or troubleshoot an issue. This usually means they’re hands-on with the product or exploring a use case.

They’re contributing code to a competitor’s project—very strong signal of alignment.

They’re contributing to a related project—strong signal they’re active in your ecosystem.

They’re contributing code or fixes to your project—strong signal of interest and alignment.

They have fresh capital and pressure to deploy it. Growth plans kick in quickly—hiring, shipping, and tooling decisions follow.

They’re pushing something live—either staging or production—signaling deeper technical evaluation.

They’re starting to configure your tool—typically the first hands-on step after installation.

They’re testing whether your tool is working as expected—usually part of setup validation.

They’re installing your SDK, CLI, or container—likely to explore or test it locally.

The developer is returning to your docs multiple times—usually setup, config, or CLI guides.

They’re exploring higher-tier functionality—often integration, role-based access, or deployment models.

They’re actively implementing, testing, or onboarding. This is a high-confidence signal of hands-on usage.

They’re working through implementation—likely dealing with friction or testing integration fit.

They’ve taken the first step into your ecosystem. This usually means they’re ready to explore the product hands-on.

They’re not just signing up—they’re looking at how to get started. Signals intent to evaluate hands-on.

They’re digging around—often reading or comparing multiple sections. Suggests active curiosity or early research.

They’re showing interest in a competing project—likely to compare options or explore alternatives.

They like a repo that works well with yours; could be exploring related tooling.

They like your repo and are interested in it; might want to revisit it later.

Filter accounts based on the state where developers are most actively engaging from.