Collect technical candidates from email, web forms, communities, job boards, manual imports and messaging channels. AI turns every application into an evidence-based technical scorecard and interview kit, so your team can decide faster and with more confidence.
Built for CTOs, Heads of Engineering and technical recruiters
Collects from:
Your best candidates are scattered across email threads, job boards, community channels and spreadsheets. By the time you reach them, they're already hired.
Applications arrive via email, web forms, job boards, community channels and random files. No single inbox to manage it all.
Hours spent filtering candidates who are clearly not a fit. Zero time left for the ones who are strong.
Without technical pre-screening, engineers waste time in interviews with obvious mismatches and get frustrated.
HR chatbots rank a Java developer over a Go developer for a Go role. They can't read technical signals.
Five clear steps — from defining the role to walking into a focused technical interview.
Define the position and tech requirements. AI helps you build a skill-level scorecard tailored to the role — not a generic job template.
Post it in developer communities, email newsletters, job boards, LinkedIn or embed it on your website. Telegram channels are also supported.
Candidates apply via web form, email, Telegram bot, CSV import or any other connected source. Everything flows into one structured inbox.
AI evaluates each CV against the scorecard: strengths, skill gaps, confidence level, risks and a clear explanation — not a black-box score.
Generate a focused interview kit for the team lead: targeted questions, evaluation rubrics and red flags to explore deeper.
From raw applicant to interview-ready candidate — in one structured view.
Candidate profile
84%
Medium confidence
Strong evidence
Risks to explore
Interview focus
Source quality
Sample data — illustrative preview| Source | Candidates | Quality |
|---|---|---|
| Dev Community | 12 | High |
| hh.ru | 34 | Medium |
| Referrals | 5 | High |
| 8 | Medium |
Match score distribution
Across all sources
Every feature designed around the real workflow of a technical hiring team.
Connect email, web forms, manual imports, job boards, developer communities and messaging channels into one structured hiring inbox.
Forward your hiring inbox to us. We parse and structure every incoming application automatically, no manual work.
Embeddable apply form for your website or job board. Customizable fields, fully branded experience.
Have candidates in a spreadsheet or files already? Import them and get AI analysis instantly without re-work.
Post apply links in developer communities, Telegram channels, job boards and newsletters. All candidates flow into the same inbox regardless of source.
Candidates apply directly in Telegram. No extra apps, no friction. Bot collects CV, contact and structured answers.
Extracts skills, experience, projects, tools and signals from any CV format — structured, PDF or messy doc.
Skill-by-skill evaluation against your role requirements. See exactly where each candidate stands and why.
Match scores are backed by specific CV evidence, not a black box. You see the reason, not just the number.
Auto-generated interview guide: focused questions, evaluation rubrics and specific areas to probe for the team lead.
Which sources bring you the strongest technical candidates? Track, compare and optimize your sourcing with data, not instinct.
AI assists, humans decide. No automatic rejections. Every AI recommendation is reviewable and overridable by your team.
Generic AI recruiting tools treat a DevOps engineer and a copywriter the same. We are built from day one for technical hiring.
Not an ATS replacement. TechHireHQ sits before interviews and helps your team turn scattered applicants into evidence-based technical shortlists.
Candidate data is sensitive. We take that seriously — from server architecture to how every piece of information is displayed.
No candidate is automatically rejected by AI. Every recommendation is advisory. Your team has the final word, always.
All form submissions are validated and sanitized on the server. Client-side validation is UI-only, not a security boundary.
Form submissions and API endpoints are protected from abuse with server-side rate limiting, preventing spam and excessive requests.
We collect only what's needed to operate the product. No selling of candidate data to third parties, ever.
Waitlist signup requires explicit consent. Candidates are always informed about how their information is used.
Privacy and human oversight are part of the product design from day one. The production product is planned with server-side validation, abuse protection, access controls and privacy-conscious data handling.
Stop guessing where to post your jobs. Get clear data on which sources deliver the best technical fits.
TechHireHQ tracks every candidate's source — email newsletter, community post, job board or messaging channel. After each hiring cycle, you see which sources brought strong matches and which brought noise. Optimize your sourcing budget with data, not instinct.
76%
Avg match from top channel
43%
Strong candidates from top sources
2h
Time to qualified shortlist
Average match score by source
Last 30 days
We are onboarding early teams gradually. Tell us about your hiring context and we'll prioritize your access.