Engineering leaders don't buy from a sales deck.
We bring proof they can read.
VPs of Engineering, Heads of Platform and developer relations leads ignore outreach that reads like sales. We run technically specific outbound tied to a real trigger, a new hire, a stack migration, a funding round, and build the comparison pages and case studies that get your tool found when an engineer actually searches for it.
Proof in devtools companies
61 meetings in 9 months with operations leaders at growing firms
Technical buyers do not reply to a generic pitch, and engineering leaders are no different. DigeTekS reached operations leaders and IT directors at mid-market companies with specific, credible outbound and produced 61 meetings and a $510K pipeline, the same approach that works with engineering and platform leaders evaluating new tools.
Read the DigeTekS case study →Outbound for devtools companies
Outreach engineering leaders actually read
A generic devtools pitch gets deleted before the second line. We target VPs of Engineering, Heads of Platform and developer relations leads at companies going through a real trigger, a new engineering hire, a stack migration, a funding round, and write to that trigger with technical specifics, not feature marketing.
- Signal-based targetingCompanies hiring for the stack you support, migrating off a competitor, or recently funded, pulled from job posts, release notes and funding data. Verified before a single send.
- Infrastructure in your nameDomains and mailboxes you own, set up and warmed properly, so deliverability holds as volume grows.
- Technically specific copyOne line on the trigger, one line on what changes for their stack. No generic SaaS copy, no demo ask up front.
- Reply handling and reportingReplies answered by someone who understands the stack, not a script. Weekly report on signals targeted, replies and meetings.
Result: qualified meetings with VPs of Engineering, Heads of Platform and developer relations leads evaluating new infrastructure on your calendar.
Inbound and AI search for devtools companies
Be the tool that shows up when an engineer searches
Engineering leaders research before they reply to outreach or book a demo: docs, comparison pages, what other engineers say. We build the pages and the AI visibility that show up in that research.
- Comparison and alternative pagesOne page per competitor or category question an engineer actually searches, written in their language, not marketing copy.
- Case studies that read as technical proofNamed clients with real numbers, structured so Google and AI engines can cite them.
- Schema and technical trust signalsOrganization, Service and FAQ schema so AI engines can read and recommend the tool accurately.
- AI visibility measuredEvery two weeks: who ChatGPT, Perplexity and Google name for your category.
Result: the buyer who gets your cold email searches your name and finds proof, not silence.
What we fix
Four devtools problems. One system.
What devtools founders tell us on the first call, and what we do about each.
Engineering leaders delete anything that sounds like a sales script.
Technically specific copy tied to a real stack or hiring signal, not a feature list.
A VP of Engineering can block a tool; they rarely buy one without the team weighing in.
Outreach written for the technical evaluator and the budget holder, run in parallel.
Good docs, no page that ranks for the question an engineer searches before they try it.
Comparison and category pages built around the actual search query, not the product name.
Shared sending infrastructure and generic copy trip spam filters fast.
Domains in your name, conservative volume, and copy that does not read as mass outreach.
Case studies
Results for devtools companies
Named clients, real numbers. Every card links to its own case study.
What is lead generation for devtools companies?
By Tanveer Sinngh, Founder at Montazzo · What we run it on
The stack, so you know what you are getting
Tool-agnostic, strategy first. We bring the infrastructure, the data and the sending platform. You own the domains and the lists.
Instantly
Clay
Apollo
ApifyAI Ark
HeyReach
LinkedIn Sales Navigator
Claude
Google Workspace
Search Console
Netlify
SupabasePlus the sourcing, scoring and reply-handling pipelines we built in-house, because the off-the-shelf ones were not good enough.
FAQ
Questions devtools companies ask us
Yes, when it is specific to a real trigger such as a hiring signal, stack migration or funding round rather than a generic feature pitch. The same trigger based approach produced 61 meetings in nine months for DigeTekS, a technical services company selling to operations leaders.
A new engineering hire, a stack migration, a funding round or a competitor's customer complaining in public, matched to what your tool solves. These signals correlate with a real evaluation window, not just title fit.
Typically VPs of Engineering, Heads of Platform and developer relations leads, depending on your product, most often at companies in the size band where the signal is strongest.
Often a few weeks to a couple of months once a real trigger is in play, usually shorter than regulated industries because the evaluator is often the buyer. Outbound keeps new accounts entering that cycle every week rather than relying on one campaign.
Yes, same system, US buyers, reporting in your timezone.
No. We build the outbound and inbound pipeline. The product stays with your team.
Let's build your devtools pipeline.
A 30-minute call. We look at what you have, tell you what we would run for devtools, and you decide.
Let's chat