How to Find CTOs and Engineers at Early-Stage Startups With Active Development (2026)

Quick Answer: The fastest way to find CTOs and engineers at early-stage startups with active development is Origami — describe your ideal engineering leader persona (stage, tech stack, funding status, development activity) in one prompt, and the AI agent searches the live web for founders, job postings, GitHub activity, and tech news to build a verified contact list with emails and phone numbers. It combines signals traditional databases miss: recent hires, GitHub commits, product launches, and funding announcements.

But here's the question that trips up most sales teams: if every database claims to have "startup contacts," why do your reps still spend 3 hours manually researching a list of 50 CTOs?

Why Traditional Databases Miss Active Early-Stage Startups

ZoomInfo and Apollo were built for enterprise sales — they scrape static data sources like LinkedIn company pages, Crunchbase profiles, and corporate websites. Early-stage startups rarely appear in those feeds with complete data. A seed-stage company might have a domain, a GitHub repo, and 3 people on LinkedIn. No org chart. No press releases. No contact hierarchy.

Static databases index what already exists in structured form; early-stage startups exist on the messy edges of the web — job boards, GitHub repos, Twitter announcements, Y Combinator batch pages, and Product Hunt launches. That's where active development signals live, and that's where traditional tools fail.

Sales teams targeting developer tools, infrastructure software, or API platforms consistently report the same problem: they can find funded startups (ZoomInfo pulls Crunchbase data), but they can't tell which ones are actively building. A Series A company that raised 18 months ago and hasn't shipped a feature since is a dead lead. A seed company that posted 4 engineering roles last month and just launched v2 of their product is the hottest lead in your pipeline.

What "Active Development" Actually Means (And Why It Matters)

Active development is not a vanity metric. It's the strongest predictor of buying intent for any product sold to engineering teams. A CTO hiring engineers, pushing code daily, and dealing with infrastructure scaling problems is experiencing the pain your product solves right now.

Here are the signals that indicate active development:

Engineering hiring activity — Job postings for backend engineers, DevOps, or platform roles signal growth and new infrastructure needs. A startup hiring its first 3 engineers is building greenfield systems and hasn't locked into legacy tooling yet.

GitHub activity — Public repos with recent commits, merged pull requests, and contributor growth show an engineering org shipping code. Private repos are invisible, but many early-stage teams use public repos for open-source libraries, SDKs, or documentation.

Product launches — Announcements on Product Hunt, Hacker News, or tech blogs. If a startup just launched a new feature or API endpoint, the engineering team is in build mode.

Funding announcements — Seed or Series A rounds less than 6 months old. Fresh capital means hiring plans and new infrastructure spend. The CTO is about to make buying decisions they'll live with for years.

Tech stack expansion — Startups adopting new tools, migrating databases, or rebuilding infrastructure. This shows up in job postings ("experience with Postgres and Kafka required") and engineering blog posts.

If you're selling to engineering leaders, you need these signals combined, not just a list of "VP Engineering at Series A companies." One signal is noise. Three signals together is intent.

How to Find CTOs and Engineers at Early-Stage Startups (Step-by-Step)

Step 1: Define Your ICP With Development Signals

Start with the basics: funding stage (seed, Series A), geography, and industry vertical. Then layer in the active development criteria that matter for your product.

For example, if you sell API observability tooling:

• Series A startups (raised in last 12 months)
• Building developer-facing products (APIs, SDKs, platforms)
• Hiring backend or platform engineers (posted roles in last 60 days)
• Tech stack includes [your integration targets — Node.js, Python, Go]
• Headquartered in [U.S., Europe, or wherever you sell]

The tighter your ICP definition, the higher your reply rates. A CTO at a seed-stage API company hiring 3 backend engineers is 10x more likely to take a call than a generic "Series A CTO."

Step 2: Search for Active Development Signals on the Live Web

Origami automates this step. Describe your ICP in one prompt ("Find CTOs at Series A API startups in the U.S. that posted engineering jobs in the last 60 days and have active GitHub repos"), and the AI agent searches the live web for: job boards (Lever, Greenhouse, LinkedIn), GitHub activity, funding announcements (Crunchbase, TechCrunch), Product Hunt launches, and engineering blogs.

The output is a prospect list with company names, CTO/VP Engineering contacts, verified emails and phone numbers, and the specific signals that qualified each lead ("Posted 3 backend roles 14 days ago, shipped v2.1 last month").

Traditional databases can't do this because they don't crawl job boards, GitHub, or tech news in real time. Apollo pulls LinkedIn profiles. ZoomInfo pulls Crunchbase funding data. Neither connects those dots to show you who is actively building today.

If you prefer to build your own research workflow, here's the manual process:

1. Start with a funding database — Crunchbase, Harmonic, or LinkedIn Sales Navigator filtered by "Series A, raised in last 12 months."
2. For each company, search "[Company name] careers" to find their job board. Look for engineering roles posted in the last 60 days.
3. Check GitHub for public repos. Search "[Company name] site:github.com" or browse their engineering team's profiles.
4. Cross-reference product launches — search "[Company name] Product Hunt" or "[Company name] launch."
5. Find the CTO or VP Engineering on LinkedIn, then use a contact finder (Lusha, Hunter.io, or Apollo email finder) to pull their email.

This takes 10-15 minutes per company. For a list of 100 prospects, that's 20+ hours of manual research. Origami compresses it into a 5-minute query.

Step 3: Enrich With Role-Specific Context

Once you have a list of CTOs and engineering leaders, enrich each contact with context that informs your outreach. The best sales reps don't send the same pitch to every CTO — they reference specific signals.

Useful enrichment data:

• Team size — How many engineers report to this CTO? A 3-person team has different pain points than a 30-person org.
• Recent hires — Did they just hire a DevOps lead or a Head of Infrastructure? That's a buying signal.
• Tech stack — What languages, frameworks, and infrastructure tools do they use? Mention it in your first email.
• Funding amount — A $5M seed round vs. a $20M Series A changes budget and urgency.
• Product launch timeline — If they launched a major feature 2 weeks ago, they're dealing with post-launch scaling issues right now.

Clay and Origami both support multi-step enrichment. Clay requires you to chain data providers manually ("If GitHub repo exists, pull commit history; if job posting found, extract role details"). Origami does this in one prompt — you ask for "CTOs at startups that recently hired backend engineers" and it returns the hiring data alongside contact info.

Step 4: Prioritize Leads by Signal Strength

Not every CTO on your list is equally hot. Rank them by the number of active development signals present:

Tier 1 (call today):

• Posted 2+ engineering roles in last 30 days
• Funding round closed less than 6 months ago
• Product launch or major feature shipped in last 60 days
• Active GitHub commits in last 2 weeks

Tier 2 (email + follow-up call):

• Posted 1 engineering role in last 60 days OR recent funding OR product launch (any one signal)
• GitHub repo exists but commits are sporadic
• Tech stack matches your ICP

Tier 3 (nurture sequence):

• Meets basic ICP (stage, vertical, size) but no recent hiring or product activity
• Use these for longer-term outreach or content-based nurture

Reps waste time calling Tier 3 leads when Tier 1 leads are sitting in the same list. Sort by signal strength first.

Best Tools for Finding Early-Stage Startup CTOs (2026)

Origami

Origami is the fastest way to build a prospect list of CTOs and engineers at early-stage startups with active development signals. Describe your ICP in one prompt ("Find CTOs at seed-stage API startups in the U.S. that posted backend engineering roles in the last 60 days"), and the AI agent searches the live web for job postings, GitHub activity, funding news, and product launches. The output is a verified contact list with emails, phone numbers, and the specific signals that qualified each lead.

Strengths: Live web search means you find startups the day they post their first engineering role or close a funding round. Works for any ICP (enterprise, SMB, local, niche verticals). Combines multiple signals (hiring + funding + tech stack) in one query without building workflows.

Limitations: Not an outreach tool — you export the list and use it in your existing email/CRM platform. Free plan limits you to 30 rows per table (upgrade to export full lists).

Pricing: Starts free with 1,000 credits (no credit card required). Paid plans from $29/month for 2,000 credits with CSV export.

Best for: Sales teams targeting early-stage startups where active development signals matter more than static company data.

Clay

Clay is a data enrichment platform that lets you chain multiple data sources (Crunchbase, Clearbit, LinkedIn, GitHub) into custom workflows. You define the logic ("If company raised Series A in last 12 months, search for CTO on LinkedIn, then enrich email with Hunter.io"), and Clay executes it row-by-row.

Strengths: Extremely flexible — you can build complex multi-step enrichment logic. Strong for teams that already have a partial list (e.g., Crunchbase export) and need to enrich it with contact data and signals.

Limitations: Requires technical users who understand data workflows. Building a "find CTOs at startups with active development" workflow from scratch takes 30-60 minutes of setup. No live web search — Clay pulls from APIs and structured databases.

Pricing: Free plan with 500 actions/month. Paid plans start at $167/month for 15,000 actions.

Best for: Sales ops teams that want full control over data enrichment logic and have time to build workflows.

Apollo

Apollo is a contact database with 250M+ contacts. You search by role ("CTO"), company stage ("Series A"), and industry, then export a list. Apollo's free plan and low entry price make it the most widely used prospecting tool in B2B sales.

Strengths: Large database with solid coverage of enterprise and mid-market tech companies. Built-in email sequences and CRM integrations. Free tier gives you 900 annual credits to test.

Limitations: Static database — it shows you who was CTO 6 months ago, not who is actively hiring or building today. No development signals (job postings, GitHub, product launches). Weak coverage of seed-stage startups that haven't built out LinkedIn profiles yet.

Pricing: Free plan with 900 annual credits. Paid plans start at $49/month (annual billing) for 1,000 export credits/month.

Best for: Mid-market and enterprise outbound where you need contact data for established companies, not early-stage development signals.

ZoomInfo

ZoomInfo is the enterprise standard for contact data and org charts. You get verified emails, phone numbers, and reporting hierarchies for companies with 50+ employees. Intent data shows which accounts are researching your product category.

Strengths: Best org chart data in the industry. Useful for enterprise sales where you need to map a 200-person engineering org. Intent signals help prioritize accounts.

Limitations: Extremely expensive (~$15,000+/year minimum). Weak coverage of seed and Series A startups — ZoomInfo's data model assumes companies have structured hierarchies and public employee directories. No active development signals.

Pricing: Starts around $15,000/year (annual contracts only).

Best for: Enterprise sales teams with big budgets selling into large engineering orgs (100+ people).

LinkedIn Sales Navigator

Sales Navigator is the best tool for browsing startup CTOs and engineering leaders. Advanced search filters let you find people by title, company stage, funding status, and location. You see their activity, recent posts, and mutual connections.

Strengths: Real-time LinkedIn data. Great for relationship-based selling where you want to comment on a CTO's post or request an intro through a mutual connection. Alerts when prospects change jobs or post updates.

Limitations: No email or phone data — Sales Navigator only gives you LinkedIn profiles. You need a second tool (Apollo, Lusha, Hunter.io) to get contact info. No development signals (hiring, GitHub, product launches).

Pricing: $99/month (Core plan) or custom enterprise pricing.

Best for: Relationship-driven sales reps who want to engage on LinkedIn before cold outreach.

Harmonic (YC S21)

Harmonic is a startup prospecting tool built specifically for sales teams targeting early-stage companies. It pulls funding data, hiring signals, and founder info, then scores accounts by likelihood to buy.

Strengths: Purpose-built for startup prospecting. Combines Crunchbase funding data with hiring signals and growth metrics. UI is optimized for SDRs building daily prospect lists.

Limitations: Smaller database than Apollo or ZoomInfo. No GitHub integration or tech stack data. Contact enrichment requires integrations with other tools.

Pricing: Contact sales for pricing.

Best for: SDR teams at companies selling exclusively to venture-backed startups.

Lead411

Lead411 provides verified B2B contact data with a focus on buyer intent signals. It includes "Bombora intent data" that shows which companies are researching your product category.

Strengths: Competitive pricing vs. ZoomInfo. Intent data helps prioritize accounts. API access on higher tiers.

Limitations: Weaker startup coverage than tools purpose-built for early-stage prospecting. No development-specific signals (GitHub, job postings).

Pricing: Free 7-day trial with 50 exports. Paid plans start at $49/month for 1,000 exports/month.

Best for: Mid-market sales teams that want intent data but can't afford ZoomInfo.

How to Use Development Signals in Outreach (Real Examples)

Development signals are only valuable if you reference them in your outreach. Here's how top reps use them:

Hiring-based opener: "Saw you just posted 3 backend roles — congrats on the growth. Teams scaling from 5 to 15 engineers usually hit [specific pain point] around this stage. We help [outcome]. Worth a quick call?"

Product launch opener: "Congrats on the v2 launch last week — saw the Product Hunt post. Post-launch is usually when [specific pain point] shows up. We've helped teams like [similar company] avoid that. 15 min to compare notes?"

Funding-based opener: "Congrats on the Series A — saw the announcement in TechCrunch. You're probably hiring a platform team soon. We've saved Series A CTOs 20+ hours/week on [specific task]. Worth a quick intro call?"

Tech stack opener: "Saw your team uses [language/framework] — we integrate natively and most [similar companies] cut [pain point] by 50% in the first month. Worth a demo?"

Generic opener (what NOT to do): "Hi [Name], I help engineering leaders at fast-growing startups improve [vague benefit]. Do you have time for a quick call?"

The first four openers work because they prove you did research and tie your product to a current pain point. The last one gets ignored because it could have been sent to anyone.

Common Mistakes When Prospecting Early-Stage Startups

Mistake 1: Targeting funded startups without checking if they're still active. A company that raised $10M 18 months ago and hasn't hired anyone since is probably struggling, not scaling. Look for recent activity (hires, launches, press) alongside funding.

Mistake 2: Pitching the CTO without understanding team size. A solo CTO at a 3-person startup has different pain points than a CTO managing 30 engineers. Tailor your pitch to their stage.

Mistake 3: Using stale contact data. Early-stage startups churn roles fast. A VP Engineering from 6 months ago might have moved to a new company. Use tools that refresh data frequently or search the live web.

Mistake 4: Ignoring tech stack fit. If your product requires a specific language or infrastructure setup, don't waste time pitching CTOs whose teams use incompatible tech. Filter by stack upfront.

Mistake 5: Sending the same pitch to seed and Series A CTOs. Seed-stage CTOs care about speed and not breaking things. Series A CTOs care about scale and observability. Your pitch should reflect that.

Key Takeaways

Active development signals matter more than static company data. A CTO at a seed-stage startup that posted 3 engineering roles last week is 10x more likely to buy than a CTO at a Series B company that hasn't shipped a feature in 6 months.

Traditional databases weren't built for this use case. Apollo and ZoomInfo pull from LinkedIn and Crunchbase. They don't index job boards, GitHub, or product launches. If you need active development signals, use a live web search tool like Origami that crawls those sources in real time.

Combine multiple signals to find the hottest leads. Hiring + funding + product launch = a CTO in buying mode. One signal is noise. Three signals together is intent.

Reference signals in your outreach. Generic pitches get ignored. Openers that mention a specific hire, product launch, or funding round get replies.

Next step: If you're prospecting early-stage startups with active development, start with Origami. Describe your ICP in one prompt ("Find CTOs at Series A API startups that posted backend roles in the last 60 days") and get a verified contact list with emails, phone numbers, and the signals that qualified each lead. Free plan includes 1,000 credits — no credit card required.