How to Run a LinkedIn Outreach Campaign for Robotics Founders in New York City (2026)

Quick Answer: Use Origami — which has a built-in LinkedIn sequencer — to turn your list of Robotics Founders in New York City into meetings. After you’ve built the list (see our list-building guide), refine it inside Origami, launch sequences tailored to a hardware-heavy NYC market, and never export a CSV again.

You’ve already done the hard work of finding the right robotics founders across the five boroughs. Now it’s time to turn that list into conversations that matter. I’ve run dozens of LinkedIn campaigns targeting technical founders in tight geographic and vertical niches, and the difference between a 2% reply rate and a 12% reply rate almost always comes down to two things: clean segmentation and messaging that sounds like you belong in their world.

This is the tactical playbook I use when the list is built and the outreach is about to begin. No theory, no fluff — just the exact steps I follow inside Origami to refine the list, craft a 3-touch LinkedIn sequence that actually gets replies from robotics founders in NYC, and send it without juggling four different tools.

Step 1: Build the List (Recap)

If you haven’t already created your prospect list, pause here and read our guide on how to build a list of Robotics Founders in New York City. In that post we walk through the exact plain-English prompt you’d type into Origami:

“Find robotics startup founders in New York City with verified LinkedIn profiles and email addresses, focused on companies building hardware solutions for logistics, healthcare, manufacturing, or construction. Prioritize companies with active job postings or recent funding rounds.”

Origami’s AI agent searches the live web, chains data sources, and returns a qualified list — names, LinkedIn URLs, email addresses, enriched company details, funding stage, and often indicators like tech stack or recent news. With the free plan (1,000 credits, no credit card required) you can build a small, tightly focused list of 50–80 founders immediately. As soon as the list lands, we move to refining.

Step 2: Refine and Qualify for LinkedIn Outreach

A raw list of “robotics founders in NYC” is the starting point. Your LinkedIn response rate improves dramatically when you segment that list into cohorts that let each touch feel relevant to the recipient.

How to Review the List Inside Origami

Origami displays every contact in a sortable dashboard. I start by scanning these fields:

• Company description and industry tags: Look for sub-niches — warehouse robotics, surgical robots, autonomous drones, construction automation, or food robotics. Each sub-niche has different pain points, and your messaging will change accordingly.
• Funding stage and amount: Filter founders who raised a seed round six months ago (they’re likely building their first commercial team) separately from those with a large Series B (ready to scale go-to-market).
• Headcount: A founder of a 3-person startup has different needs than a founder of a 120-person company. I typically remove companies with fewer than 2 employees unless they’ve raised money.
• Recent news or job postings: Origami often surfaces signals like “hiring head of sales” or “opening a manufacturing facility in Brooklyn.” Those are triggers.

What “Qualified” Looks Like for NYC Robotics Founders

A qualified prospect for a LinkedIn outreach campaign targeting this audience usually fits most of these criteria:

• Active founder, CTO, or VP of Engineering at a robotics-addressed company.
• Company headquartered in New York City or with a significant operational presence (not just a virtual office).
• Recently raised funding or demonstrates growth signals (job openings, new partnerships with NYC institutions like NYU Tandon or Cornell Tech).
• Building hardware that requires manufacturing partners, supply chain support, or local talent — all of which are uniquely challenging in NYC.
• Not a solo hobbyist or a lab project; there’s a commercial intent.

After manually removing misfits and tagging the list by sub-niche and stage, I end up with 30–60 highly relevant founders. That’s the list we’ll sequence.

Step 3: Create the LinkedIn Sequence

Origami gives you two ways to build your sequence:

1. Paste your own templates: You can write your own 3-touch sequence, set the delays between touches (Day 1, Day 3, Day 7 — or whatever cadence you want), and hit “Launch.”
2. Let the agent write it: Alternatively, you can ask Origami’s AI agent to generate a personalized 3-day LinkedIn sequence automatically. The agent writes the messages based on each lead’s profile data — title, company, industry — so every message feels custom.

I usually start with option 1, using proven templates I’ve tested over dozens of campaigns. Below is the exact 3-touch sequence I use for Robotics Founders in New York City. You can copy-paste it directly into Origami, or customize the angle for your specific offer.

The Sequence Overall Cadence

• Day 1: Connection request + note (under 300 characters)
• Day 3: Follow-up message (different angle, no sales pitch)
• Day 7: Final message (soft close with a clear ask)

Origami’s sequencer lets you set the exact day gap between each step. I use a 3-day gap because NYC founders are busy, but not so long that you lose momentum.

Touch 1 — Connection Request Note

Hi , I’m following the NYC robotics scene closely — noticed is doing sharp work in [mention specific sub-niche, e.g. warehouse automation]. I help robotics founders like you connect with the right Northeast VCs and manufacturing partners to scale beyond pilot. Would be great to connect.

Why this works: It signals local fluency (“NYC robotics scene”), references their work without sounding like a bot, and hints at valuable local connections — a huge pain point for founders priced out of traditional industrial clusters.

Touch 2 — Day 3 Follow-Up Message (50-100 words)

Hi , thanks for connecting. I know building hardware in New York comes with its own set of headaches — real estate prices eating into runway, fighting for CNR/mechatronics talent against big tech, and the lack of off-the-shelf manufacturing partners nearby. At [Your Company], we’ve helped a handful of NYC robotics startups shortcut those exact bottlenecks. Mind if I send over a 2-minute video that shows how?

Why this works: It demonstrates deep empathy for location-specific challenges, names the precise pains (real estate, talent, manufacturing), and offers a low-commitment asset (a video) rather than a generic meeting.

Touch 3 — Day 7 Final Message (50-100 words)

, last note from me. I’d love to hop on a 15-minute call to see if what we’re doing could help speed up the go-to-market phase without burning cash on NYC’s crazy prototyping costs. No pitch, just a chat to find out if there’s a fit. Would Thursday or Friday morning work? If not, no worries at all.

Why this works: A soft close with a specific time window, directly tied to their likely pain (prototyping costs in NYC), and an easy out. It respects their time while making the value crystal clear.

You can customize any placeholder with Origami’s merge fields. The platform auto-fills , , and can even insert dynamically pulled data like industry tags or recent news snippets if you let the agent write it.

Step 4: Send the Sequence Directly from Origami

This is where Origami changes the game compared to old-school workflows. You don’t export your refined list to a CSV, upload it to a separate outreach tool, and pray the sync works. The built-in LinkedIn sequencer sits right next to your lead list.

Launching the Sequence

Once your templates are in, you select the contacts you want to include (maybe a specific sub-niche or funding stage). Origami’s sequencer sends connection requests and follow-up messages automatically, respecting the delays you configured. You can choose to have the agent send the connection request note immediately, then the subsequent messages based on acceptance — the system knows when a connection is accepted and triggers the next touch automatically.

Sending & Tracking

Everything is visible in the same dashboard where you built and refined the list:

• Opens, clicks, replies appear per contact and in aggregate.
• While looking at a contact’s activity, you can still see their enriched profile — title, company, tools used, funding data — so you always know why you reached out.
• Automatic un-enrollment: If someone replies, they exit the sequence instantly. No accidentally sending a “final note” after they’ve already booked a meeting.

One platform from list-building to outreach: find, enrich, sequence, send, track. No exporting CSVs, no syncing tools, no lost context.

Pricing Note

The sequencer itself is included on all paid plans — you’re only paying for the credits used to enrich leads. Sending LinkedIn sequences is free, with plans starting at $29/month. So after you use your free 1,000 credits to build that initial list, you can upgrade, craft your sequence, and start sending without adding another line item to your tool stack.

What Results to Expect

From campaigns I’ve run targeting robotics founders in NYC (with a tightly refined list and the sequence above), connection acceptance rates typically land in the 20–30% range when the note is relevant, and reply rates hover between 5% and 8%. If you’re getting below 15% acceptance, revisit your connection note for local relevance. If replies are low, check whether your sub-niche segmentation is tight enough or if your second touch actually offers value rather than a pitch.

When to Iterate on Messaging vs. Iterate on the List

• Iterate on messaging if acceptance rates are fine but replies don’t convert to calls. Try a different second touch angle (e.g., mention a specific NYC investor or a recent industry report).
• Iterate on the list if nobody accepts, or if you’re getting replies like “not interested” quickly. You might be targeting too broad an audience — tighten the sub-niche qualification.

In both cases, Origami’s unified dashboard makes it trivial to pause a sequence, tweak the message, and restart on a cleaner segment without re-uploading data.