# Perfectly: the AI recruiting OS

Canonical: https://mudpie.ai/companies/perfectly/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [Perfectly: the AI recruiting OS](https://mudpie.ai/companies/perfectly/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

Perfectly is an AI-native recruiting agency for startups that need a hiring pipeline, not another pile of resumes. It fits high-growth teams with urgent roles and a recruiter or hiring manager who is willing to calibrate the system and review candidates.

## What it does

The product automates sourcing, outreach, screening and qualification. [The company profile](https://www.ycombinator.com/companies/perfectly) says its recruiting agent, Paul, works in Slack and learns from candidate feedback. Its public material claims 4× faster hiring, 10× candidate volume, 2× higher interview pass rates and a reduction in recruiting work from 20 hours to one. Those are vendor claims. The homepage also presents a customer story in which one startup says it dropped other agencies after seeing more interview volume; that is a vendor-selected testimonial, not an independent review.

## Why I’d look closer

The founders bring a clear technical thesis. [The YC profile](https://www.ycombinator.com/companies/perfectly) describes Victor Luo as a former ML scientist at TikTok and a repeat founder, Zhuang (Gary) Luo as ex-Meta and TikTok ML engineering, and Huimin Xie as a former tech lead and senior ML engineer at TikTok. The company is applying recommendation-system thinking to candidate matching, which is a more coherent wedge than simply putting a chatbot on top of an ATS.

## What I’d ask

The public launch offer is also clear: [Perfectly says it will undercut a current agency by 50% for a first role](https://www.ycombinator.com/companies/perfectly), or offer a discount. Beyond that, public pricing is not exposed. The bounded search surfaced [a YC launch post](https://www.linkedin.com/posts/y-combinator_perfectly-yc-w26-is-an-ai-native-recruiting-activity-7419816081692884992-A60P) and founder hiring posts, not an independent review. A buyer should ask how candidate quality is measured, whether outreach is customized enough to protect the employer brand, how consent and privacy work, and what “interview-ready” actually means.

## My editorial take

Perfectly is worth a controlled test for a startup with one painful role and a high cost of delay. It is not a replacement for judgment. Start with a role where the success criteria are observable, compare the shortlist against your current agency or internal process, and treat the company’s speed and pass-rate numbers as hypotheses until your own funnel moves.

## Quick facts

| Field | Sourced detail |
| --- | --- |
| Accelerator | Y Combinator, Winter 2026 |
| Industry | B2B; Recruiting and Talent |
| Public website | [perfectly.so](https://www.perfectly.so/) |
| Product | AI sourcing, outreach, screening and recruiting coordination |
| Company-reported results | [4× faster hiring, 10× candidate volume and 2× interview pass rate](https://www.ycombinator.com/companies/perfectly) |
| Commercial signal | [Launch offer says 50% under a current agency for a first role](https://www.ycombinator.com/companies/perfectly); normal pricing is not public |

## Sources checked

| Volatile field | Source | Checked |
| --- | --- | --- |
| Membership/founders/results | [YC profile](https://www.ycombinator.com/companies/perfectly) | 2026-09-19 |
| Public company search | [YC launch post on LinkedIn](https://www.linkedin.com/posts/y-combinator_perfectly-yc-w26-is-an-ai-native-recruiting-activity-7419816081692884992-A60P) | 2026-09-19 |

## Cohort context

Perfectly is listed in Winter 2026. In our 2026-09-18 directory snapshot, 126 of 199 listed companies in that cohort have YC’s primary industry label B2B (63.3%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:20:23.499Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Observed |
| H1 or H2 heading | Observed |
| Typed structured data | Not observed in this response |
| Docs/developer link | Not observed in this response |
| Pricing link | Not observed in this response |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.