The data intelligence layer that helps you sell to the government.

Toronto / Miami / SF
Joined January 2026
We are super excited to share that NationGraph has raised $18M USD in our Series A led by @MenloVentures Ventures, with participation from @perplexity_ai, @xyz_vc , @reachfund, and amazing angel investors who have built iconic companies. Full announcement below 👇
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NationGraph retweeted
This is peak internal hackathon weekend @trynationgraph
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NationGraph retweeted
Bumped into the folks at @trynationgraph and convinced them to give me a tour of the office 😳
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GTM Engineering is one of the hottest roles in tech right now and we're hiring one at @trynationgraph If you identify as a great engineer that also has taste, come work with @chrislevan24 and I!
The hottest roles are usually two jobs mixed together. We've seen it before: - dev + ops → DevOps - ML + engineering → ML Engineer - data + engineering → Data Engineer Now: - product + engineering → Product Engineer - design + engineering → Design Engineer - GTM + engineering → GTM Engineer Whoever cracks the next mix will make $$$.
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NationGraph retweeted
excited to announce that i'm spending my formative years solving a problem that actually matters in the world at @trynationgraph.
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Hire people you know will quit. I never understood why hiring managers/founders view candidates wanting to be future founders one day as a bad thing. @tryramp ($44B valuation) deliberately hires future founders. Their CEO, @eglyman, says: I think the energy that founders bring is a determination, the desire to go build something new, push the norms, and try to take things faster. Having these kinds of people in your company who are restless, I think, is really valuable. The company became a breeding ground for founders. - @jsarihan, Co-Founder @crosbylegal ($400M valuation) - @austinh___, Co-Founder @unifygtm ($40M Series B) - @Pavel_Asparagus, Co-Founder, @SilnaHealth ($27M total funding) - @hkimia, Co-Founder, @trynationgraph ($18M Series A) Ramp isn’t hurting because of their departures but absolutely benefited from their contributions. To me, that’s the point. We’re trying to take a similar path at @PlaykitUGC (and certainly have future founders already). These people have the traits we want to hire for: ambition, agency, willingness to figure it out, etc. So, we intentionally ask candidates where they want their careers to go. If it’s being a founder, we want to help develop the skills they’ll need for when the time comes. The ambition that will make someone quit is also what makes them so valuable to you. Find it and reward it. PS - credit to @rjnapolitano for the image idea!
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Why does it feel like everything is way over budget and behind schedule nowadays? It took 21 years and cost $346 Million to build a short bus lane in San Francisco. The Golden Gate Bridge took 4. What's changed? Is American Dynamism Dead? We break it down on Episode 1 of NationGraph News 👇
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NationGraph Vlog 2: Summer in Toronto
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NationGraph retweeted
i get asked why did you choose @trynationgraph? just hear it from the people themselves:
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NationGraph retweeted
if you're in waterloo next wednesday come through! i'll be sharing some more bts stuff in all things startups, growth, venture & scouting for our w27 intern batch at @trynationgraph !!!
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How do you take the messiest data in the country and turn it into something a sales team actually wants to open? That's the problem Jason, our Head of Engineering and his team solve every day.
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His team takes the government data we gather, types of data other companies simply do not have, and wraps it into the product our customers use to get ahead of RFPs and win government contracts
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"NationGraph to me is a problem that we're trying to solve that has not been solved yet. But the solution is so fascinating that I would put 12, 16 hours some days just into solving it faster.
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How do you turn millions of government documents into real buying signals for your team? That's the problem Mae and her team solve every day. Mae is our Head of ML and AI. Stanford physics PhD. Former quantitative researcher at Citadel. Mae explains how it works 👇
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Her team uses AI and classical ML models to identify relevant signals, filter out the noise, and build systems that get smarter with every customer interaction.
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"I think of a signal as some modicum of truth that helps it be more likely for anyone to want to buy your product or engage with you. Any kind of bit of information that helps with that, we call that a signal."
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NationGraph retweeted
what we believe - @trynationgraph depth of data and design of the harness will win in the long run.
Performance and $$ depend hugely on harness design. In vertical AI, the gains from a great specialized harness >>> gains from more expensive model inb4 kimi has quirks - @runta can you try with a diff model also frontierharness.org/
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