Agentic recruiting for startups

Hire engineers who
actually ship.

46% of new hires fail within 18 months. HirePulse scores candidates across six research-backed factors, not just skills.

Sources from
GitHub
LinkedIn
AngelList

See the product

A live hiring cockpit, not another spreadsheet.

Review ranked candidates, inspect raw evidence, and approve outreach from one place. Every recommendation is traceable.

hirepulse.com/app/candidates

Top Candidates

Ranked by startup-fit score
Anika Kapoor+12
Full-Stack Engineer92/100
Rohan Mehta+8
Backend Engineer88/100
Maya Singh+5
Platform Engineer84/100

Candidate Breakdown

Work Samples92%
Behavioral Evidence88%
Adaptive Versatility79%
Career Trajectory85%

Recommendation: Advance to outreach with a personalized intro referencing her OSS work.

Pipeline42 active candidatesScoring6-factor weighted modelOutreach31% reply rate

The problem

Hiring is broken. The data proves it.

0%

of new hires fail within 18 months

And it’s almost never about skills. It’s about ownership, drive, and culture fit. Things resumes don’t measure.

0 mo

lost per bad hire

The hidden cost isn’t salary. It’s context lost, momentum killed, and team morale drained by someone who doesn’t fit.

0+

generic InMails that get ignored

Meanwhile the engineers you actually want delete every one. Personalized outreach at scale was a fantasy. Until now.

How it works

Four agents. One pipeline. You stay in control.

Each agent runs autonomously. You set the goals and approve at checkpoints.

01

Source

Crawls AngelList, GitHub, and LinkedIn. Parses profiles. Deduplicates. Builds your pipeline while you sleep.

You review the shortlist
02

Screen

Analyzes GitHub repos for shipped work. Scores career trajectory. Detects startup DNA across six research-backed factors.

You adjust weights and approve
03

Reach out

Writes personalized emails referencing actual projects and posts. Sequences follow-ups. Handles scheduling.

You approve before anything sends
04

Interview

Conducts AI screening calls. Detects ownership language, enthusiasm, and communication clarity. Generates a candidate brief for your final round.

You make the final call

The scoring model

Six factors. Research-backed. Bias-resistant.

Based on Sackett et al. (2022) meta-analysis. Most tools score skill match alone (r=.31, barely better than a coin flip). Six factors reach r=.63.

Work Samples0%
Behavioral Evidence0%
Adaptive Versatility0%
Digital Footprint0%
Career Trajectory0%
Skill Match0%

Weights are configurable per org. A consulting firm weights skill match at 50%. A startup weights culture and ownership.

Example signal analysis

Shipped 3 side projects end-to-end
Strong
2 startup stints (employee #4 and #11)
Strong
Cross-functional: eng + design + product
Strong
Technical blog with 15 posts
Moderate
No conference talks
Neutral
Composite
87/100
No GitHub? No penalty. Absence never subtracts.

Your culture, codified

Every org is different. Your scoring should be too.

During onboarding, you describe how your team works: values, work style, deal-breakers. Every candidate is scored against your definition of great, not a generic template.

S
SynergyBoat
Org DNA
Work style
Async-first, ship in tight feedback loops
Values
Own the outcome. Keep hierarchy flat. Learn with resilience.
Deal-breakers
Needs constant direction. Ego-driven decisions.
Ideal signals
Side projects shipped. Startup experience. OSS contributor.

Yours will look different. And that's the point.

AI screening calls

Your first screen. Done before you pick up the phone.

An AI agent calls each candidate for a 5–10 minute qualification screen. It verifies resume claims, checks salary expectations, assesses availability, and catches early behavioral signals. You only talk to candidates worth your time.

“Verifies, not guesses.” Cross-references what they say with what’s on their resume. Flags inconsistencies for your real interview.

“Gets the logistics.” Salary range, start date, remote preference. The questions you ask every candidate, answered before you meet them.

“Early signals, zero effort.” Ownership language, enthusiasm, communication clarity. All detected from a 7-minute call.

Screening Call Summary
Priya Sharma
Verified
Verification
FinStack role confirmed. Described payments rewrite in detail
Timeline matches resume
Claims “led” the migration. Language suggests team effort
Logistics
Available2 weeks notice
Compensation$115–125K (within range)
RemoteYes, preferred
Early Signals
Communication
7/10
Enthusiasm
8/10
Ownership
6/10probe in human interview

~$0.15 per screening call. Less than the coffee you'd drink during a 30-minute phone screen.

Outreach that actually gets replies

Personalized emails at scale. Not generic templates.

The outreach agent reads a candidate's GitHub projects, blog posts, and career highlights, then writes an email that proves you did your homework. Follow-ups are scheduled automatically.

What they usually get

Hi { name }, I came across your profile and think you'd be a great fit for an exciting opportunity at our growing company...

We're looking for talented engineers to join our team and work on challenging problems. The role offers competitive compensation and great benefits.

Would you be open to a quick chat?

What HirePulse sends

Hi Priya, I noticed your payments rewrite at FinStack serving 2M txns/month. The architectural decisions you described in your blog post were exactly the kind of systems thinking we need at SynergyBoat.

We're a small team (6 engineers) building an AI recruiting platform, and we need someone who's shipped infrastructure at your scale. Your move from backend to platform eng also caught our eye.

Would a 15-minute call work this week? Happy to share more about the role and what we're building.

Personalized introDay 0
Follow-up, different angleDay 3
Final check-inDay 5

Continuous learning

Your team's hiring bar. Sharpened by every decision.

HirePulse learns what “great hire” means for your specific team, not a generic benchmark. Every decision and outcome calibrates your pipeline automatically.

Decide
Measure
Calibrate

Learns from day one

Even your first hire teaches the system what your team values.

Team-specific, not generic

Engineering and design learn different patterns. Your bar, not a benchmark.

You stay in control

See what the system learned. Override anytime. AI suggests, you decide.

Why we built this

We built HirePulse because we couldn’t find the right people.

SynergyBoat is a small AI product agency. We hire 2–4 people at a time, remotely. Every ATS we tried scored for skills when we needed to score for startup DNA: ownership, autonomy, shipping speed. So we built our own.

Learn more about SynergyBoat