Go founder-mode on recruiting
Recruiting runs on scattered tools and stale data. Superlink is one system. Point it at a role, teach it your bar, and it works the market with you. You keep every judgment call.
claude-fable-5
- post the req and prayIf they exist, we find themDeep people search that doesn’t stop until the talent pools are exhausted.
- one search at a timeScale without losing the barSeven parallel searches used to require a team. Now it’s just you.
- thirty screens a weekNo more interviewing noiseYour builders get their interview hours back for people worth meeting.
Claude for recruiting
Context on the left, agent on the right. Sourcing, scoring, and outreach happen in one flow, so you never leave the window.
outreach campaign · from Alexclaude-fable-5Evidence beyond LinkedIn
Most tools stop at the resume. Superlink follows the trail builders actually leave: from GitHub and Google Scholar to X threads and YouTube talks. All of it fuses into one profile, so the agent reasons from evidence of real work.
LinkedIn
GitHub
papers
Hugging Face
YouTube
X
7 sourcesRuns money movement at Stripe · took the ledger 0→1Maintains a vector-search library · 4.2k stars2 first-author papers on retrieval · 1 patentShips eval datasets on Hugging FaceConference talk: scaling ledgers · 12k viewsWrites threads on eval infraAlex ChenFounder
8,940
Sam TorresHead of Eng
6,204
Ravi PatelInvestor
4,867
Jordan LeeAdvisor
3,401Plus every network you already have
Send one link and your founders, investors, advisors, and teammates pool their networks into the same searchable graph, credited to whoever knows each person. When a candidate clears your bar, you already know who can make the intro.
“Deep-sea robotics leader who loves the ocean, thrives in ambiguity, and is off LinkedIn. Superlink found them in a market of maybe fifty people.”
Sahil Abbi
From your head to a shortlist
You already know what exceptional looks like. Superlink draws it out of you, sharpens it into something the system can verify, and works the market until the shortlist matches it. Hours, not weeks.
Pooled team networks23,412
Payments OSS contributors8,143
Systems conference authors4,867
Infra discourse on X3,209Maya Okafor
Dana Kim
Lucia Reyes
It spars with you
Fully autonomous recruiting agents collapse on quality; Superlink stops for your judgment exactly where it matters. In calibration it scores real profiles, you rate its calls, and it pushes back: probing what the obvious hire looks like, and how far you’ll go for someone who doesn’t look the part. Every call you overrule sharpens the rubric.
The talent map
Before any search runs, we map the market with live research, your calibration verdicts, and the paths your own hires took. Each ring is a sourcing strategy, not a quality tier: its own keywords, exemplar trajectories, and scorecards. Hidden gems are real skill and experience transfers a title search would miss. The agent works from the map and iterates on its boundaries with you.
Until the map is spent
Your calibration becomes a rubric the agent can check itself against, and then the loop runs: search a segment, evaluate everyone in it, keep what clears the bar. When supply thins, it builds new datasets and keeps going until the map is exhausted, on LinkedIn or off it. New frontier models slot straight in the week they ship.
Outreach that gets answered
A reply depends on the right channel, the right moment, and the right sender. Superlink runs LinkedIn and email as one sequence, drafted from the profile’s evidence so every note leads with what only a colleague would know. You approve before anything sends.
LinkedIn inviteday 0Hi first name, recent workcaught my eye. We’re building exactly that at company.
Building payments at Acme9:02 AMSam mentioned the ledger rebuild you led. We’re at that exact stage, and he offered to introduce you…
granolaIt remembers every conversation
The email that went out, the LinkedIn connect, the reply, the calendar booking, the call notes: it all lands on one timeline per person, long before anyone touches your ATS. When someone answers, the sequence stops on its own. Five tabs become one.
Recruiting on the frontier
For the searches that decide your trajectory, we embed with you: a forward-deployed recruiter running the engine, custom datasets built for the role, comp and close through the signature. We recruit every layer of the frontier, from the substrate that powers compute to the products that put models in millions of hands.
Product surfaces, go-to-market, and delivery that turn model capability into products people use.
Infrastructure, safety layers, and orchestration that turn trained models into production services.
The development loop that turns research, data, and compute into trained models.
Chip architecture, networking, and the toolchain behind usable processing capacity.
Materials, manufacturing, and facilities behind AI: silicon to data centers.
Built by doing the work
We tuned every scorecard, segment, and sequence in the platform on live searches across the frontier. A few of the seats we signed:
“RL engineers are hard to land. Superlink made the search and conversion look easy.”
Anshul Bhagi“Superlink ran circles around our talent team for a hyper-specific CTO search.”
Gautam GuptaOperator judgment, built in
We ran the hardest searches by hand with one question: how can AI make us superhuman? What we learned is how our platform works.
Shalin MantriCEO, SuperlinkDirector PM at Google, early PM on Uber ATG. Stanford CS.
Tyler LambeCTO, SuperlinkCoding since age 11. Built and sold tech-education bootcamps.
Peterson ConwayPaypal Mafia TalentTalent for A*, 8VC, and Founders Fund. Placed Palantir’s CTO.
Alex DworskyRecruiting LeaderRecruiting at Uber, Tinder, and Bird.
Kaajal BahetiPrincipal PMProduct at Handshake, ex-Workday.Run it yourself, or run it with us
Platform
The full agent, run by your team: your networks, deep profiles, your calibrated bar, and outreach in one system. Point it at a role and it’s searching the same afternoon.
- Pooled team networks, credited warm paths
- Full agent: background sourcing & scoring
- Calibrated scorecards & shared skills
- Drafted intro requests & outreach
Embedded
The same engine, run with our team: operators with deep networks of their own drive your search and hand you vetted, off-market candidates.
Shalin Mantri
Tyler Lambe
Peterson Conway
Kumar Chellapilla
Jennifer Anderson
Thuan Pham
Akash Garg
Wayne Chang
Asheesh Birla
Kaajal Baheti
Alex Dworsky
Eric Ries
Shaherose Charania
Kittu Kolluri
Jairam Ranganathan
Indrajit Khare
Haider Sabri
- Full-cycle searches, kickoff to signature
- A forward-deployed recruiter on the engine
- Custom datasets curated from 12+ sources
- Backchannel intro requests
