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Headstart

Summer 2017Acquired

Headstart uses Machine Learning to help companies decide on who to…

Save
Headstart logo

Headstart

Summer 2017Acquired

Headstart uses Machine Learning to help companies decide on who to…

Save
Company details

Headstart (YC S17) uses Machine Learning technology to help employers identify the best-suited talent in the shortest period of time. We provide leading organisations with a solution designed to help them transition away from experience/qualification based screening and towards a more inclusive and effective process which considers personality, behaviours, strengths and motivations. In doing so, Headstart helps companies hire people truly aligned to their values, culture and exact job requirements in a seamless, engaging way.

The Headstart process is simple and effective: companies save time and money by finding candidates who meet their exact job requirements at an earlier stage, and job seekers connect directly with businesses through an engaging, reusable 15 minute application form. We ensure a transparent process and initiate productive dialogue, making candidates feel valued and helping companies hire the right people.

Location
London, England, United Kingdom
Founded
2015
Category
Machine Learning
YC Directory Pagewww.headstart.io
Founders
  • NS
    Nicholas Shekerdemian
    Founder/CEO
    LinkedIn
  • JH
    Jeremy Hindle
    Founder/CTO / CPO
    X / TwitterLinkedIn

Headstart (YC S17) uses Machine Learning technology to help employers identify the best-suited talent in the shortest period of time. We provide leading organisations with a solution designed to help them transition away from experience/qualification based screening and towards a more inclusive and effective process which considers personality, behaviours, strengths and motivations. In doing so, Headstart helps companies hire people truly aligned to their values, culture and exact job requirements in a seamless, engaging way.

The Headstart process is simple and effective: companies save time and money by finding candidates who meet their exact job requirements at an earlier stage, and job seekers connect directly with businesses through an engaging, reusable 15 minute application form. We ensure a transparent process and initiate productive dialogue, making candidates feel valued and helping companies hire the right people.

Location
London, England, United Kingdom
Founded
2015
Category
Machine Learning
YC Directory Pagewww.headstart.io
Founders
  • NS
    Nicholas Shekerdemian
    Founder/CEO
    LinkedIn
  • JH
    Jeremy Hindle
    Founder/CTO / CPO
    X / TwitterLinkedIn

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On this page
  • Overview
  • Founding Story
  • Timeline
  • What They Built
  • Market Position
  • Target Customers
  • Market Size
  • Competition
  • Business Model
  • Traction
  • Post-Mortem
  • Key Lessons
  • Sources

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Exec Briefing

Actionable insights

If you only have a few minutes to spare, here’s what investors, operators, and founders should know about Headstart (S17).

  1. An expensive queue made the wedge. Graduate programs produced thousands of repetitive reviews, so faster screening had a clear budget owner and measurable outcomes.
  2. The overlay lowered adoption risk. FairScreen worked beside an existing ATS, letting enterprise buyers test a new ranking method without replacing the system of record.
  3. Fairness increased the proof burden. Contextual scoring was the product insight; versioned evidence, subgroup measurement, and human accountability were the harder product requirements.
  4. Customer results carried the story. Accenture's reported hiring changes made a stronger case than claims that machine learning was objective.
  5. Stock price was not cash value. The $14 million headline described an all-stock deal; without ownership and share-performance data, the realized return remains unknown.

Overview

Headstart sold a difficult promise to large employers: screen high volumes of applicants faster while reducing, rather than automating, the bias already present in hiring. Its system ranked candidates using qualifications, psychometric inputs, and contextual data instead of relying only on CV pedigree. By 2019, the London company named Accenture, Lazard, and Smiths Group as customers and said its software had supported thousands of hires.[1] [2]

Headstart's independent chapter ended in an acquisition. Silverback United bought it for $14 million in stock in August 2022 and kept it as a wholly owned subsidiary.[3] The deal valued its data, customer relationships, and technical team, but the public record does not disclose revenue, investor returns, or the value ultimately realized from the buyer's shares. Headstart proved demand for fairness-aware screening inside enterprise recruiting, then exited before it established a durable independent category leader.

Headstart's early-talent recruiting platform

Founding Story

Nicholas Shekerdemian began with a personal frustration. After leaving Oxford and running an online business in China, he confronted the repetitive graduate-job application process and decided to build a better match between candidates and employers. He teamed with technical co-founder Jeremy Hindle, whose background included founding MENTIUM and working on machine learning.[4]

The first product was pitched as more than a CV filter. It created a candidate "fingerprint" from personality, interests, skills, qualifications, experience, and social context, then matched that profile against a role. A 2016 account says the system integrated with employers' recruiting software, used a chatbot to collect applicant information, and was being trialled by blue-chip companies including Vodafone.[5] Headstart joined Y Combinator's Summer 2017 batch.[6]

The founding insight was sound: recruiters must reduce a large pile of applications, yet credentials alone are a noisy proxy for potential. Headstart tried to make the ranking richer and more consistent. That created a second, harder problem. Any model trained on historical employment data can reproduce the very exclusions it claims to remove. The company therefore had to sell speed, fairness, explainability, and trust at the same time.

Timeline

  • 2015: Shekerdemian and Hindle found Headstart in London.[5]
  • July 2016: Headstart reports blue-chip trials, including Vodafone, and early angel backing.[5]
  • Summer 2017: The company joins Y Combinator and launches from the S17 batch.[4]
  • November 2019: Headstart raises a $7 million seed round led by FoundersX, with Founders Factory participating.[1]
  • 2019–2021: The platform expands from matching into candidate screening, analytics, workflow automation, and a full applicant-tracking option.[7]
  • August 2022: Silverback United completes a $14 million all-stock acquisition. Headstart remains a London subsidiary; Shekerdemian joins the buyer's board.[3]

What They Built

Headstart sat behind an employer's application flow. It combined the job description and information about successful employees with each applicant's CV, assessments, and questionnaire responses. It also used public contextual datasets, such as school performance and indicators of social disadvantage, to judge achievement relative to opportunity. The output was a percentage suitability score rather than a binary pass or fail.[1]

The product later split into two deployments. FairScreen added ranking and bulk eligibility checks to an existing applicant-tracking system. The broader Headstart platform could replace the ATS, adding candidate pipelines, automated messages, analytics, assessment scheduling, and reporting. Match Scores were configurable by role, while diversity analytics showed where different groups left the process.[7]

That architecture addressed a practical buying constraint. Large employers rarely replace a core HR system to test one new screening method. An overlay reduced switching risk, while the full suite created room for larger contracts. Human recruiters retained the final decision. Headstart's software narrowed and ordered the pool; it did not formally hire people on its own.

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