From Telegram applicants to technical interviews — automatically.
Collect developer candidates from Telegram, email and communities. AI screens CVs, explains technical fit, highlights risks and prepares interview kits for your engineering team.
Built for CTOs, Heads of Engineering and technical recruiters
Collects from:
Technical hiring is still chaotic
Your best candidates are scattered across Telegram chats, email threads and spreadsheets. By the time you reach them, they're already hired.
Candidates scattered everywhere
Applications arrive in Telegram chats, emails, job board DMs and random files. No single inbox to manage it all.
Recruiters manually read every CV
Hours spent filtering candidates who are clearly not a fit. Zero time left for the ones who are strong.
Team leads interview weak candidates
Without technical pre-screening, engineers waste time in interviews with obvious mismatches and get frustrated.
Generic AI doesn't understand tech depth
HR chatbots rank a Java developer over a Go developer for a Go role. They can't read technical signals.
From job posting to interview-ready candidates
Five clear steps — from defining the role to walking into a focused technical interview.
- 01
Create a technical role
Define the position and tech requirements. AI helps you build a skill-level scorecard tailored to the role — not a generic job template.
- 02
Share your apply link
Post it in Telegram channels, developer communities, email newsletters, LinkedIn or embed it on your website.
- 03
Collect applicants automatically
Candidates apply via Telegram bot, web form, email or manual import. Everything flows into one structured inbox.
- 04
Get AI technical analysis
AI evaluates each CV against the scorecard: strengths, skill gaps, confidence level, risks and a clear explanation — not a black-box score.
- 05
Run better interviews
Generate a focused interview kit for the team lead: targeted questions, evaluation rubrics and red flags to explore deeper.
Everything your team needs to make a great hire
From raw applicant to interview-ready candidate — in one structured view.
Candidate profile
Anna Petrova
84%
Medium confidence
Strong evidence
- React production experience (3+ years)
- TypeScript in commercial projects
- REST API integrations with complex state
Risks to explore
- Next.js App Router depth unclear
- No testing practice evidence in CV
Interview focus
- Server/client component boundaries
- TypeScript strict typing patterns
- API error handling strategy
Source quality
| Source | Candidates | Quality |
|---|---|---|
| React Jobs TG | 12 | High |
| hh.ru | 34 | Medium |
| Referrals | 5 | High |
| 8 | Medium |
Match score distribution
Built for how tech teams actually hire
Every feature designed around the real workflow of a technical hiring team.
Telegram Apply Bot
Candidates apply directly in Telegram. No extra apps, no friction. Bot collects CV, contact and structured answers.
Email Candidate Inbox
Forward your hiring inbox to us. We parse and structure every incoming application automatically, no manual work.
Web Apply Form
Embeddable apply form for your website or job board. Customizable fields, fully branded experience.
Manual Import
Have candidates in a spreadsheet or files already? Import them and get AI analysis instantly without re-work.
AI CV Parser
Extracts skills, experience, projects, tools and signals from any CV format — structured, PDF or messy doc.
Technical Scorecards
Skill-by-skill evaluation against your role requirements. See exactly where each candidate stands and why.
Evidence-Based Match
Match scores are backed by specific CV evidence, not a black box. You see the reason, not just the number.
Interview Kit Generator
Auto-generated interview guide: focused questions, evaluation rubrics and specific areas to probe for the team lead.
Source Quality Analytics
Which Telegram channels or job boards bring you the strongest candidates? Track, compare and optimize spend.
Human-in-the-Loop
AI assists, humans decide. No automatic rejections. Every AI recommendation is reviewable and overridable by your team.
Built for technical teams, not generic HR
Generic AI recruiting tools treat a DevOps engineer and a copywriter the same. We are built from day one for developer hiring.
Built with trust at the core
Candidate data is sensitive. We take that seriously — from server architecture to how every piece of information is displayed.
Humans make every hiring decision
No candidate is automatically rejected by AI. Every recommendation is advisory. Your team has the final word, always.
Server-side validation
All form submissions are validated and sanitized on the server. Client-side validation is UI-only, not a security boundary.
Rate-limited endpoints
API endpoints are protected from abuse with distributed rate limiting via Upstash Redis, preventing spam and attacks.
Minimal data collection
We collect only what's needed to operate the product. No selling of candidate data to third parties, ever.
Consent-first approach
Waitlist signup requires explicit consent. Candidates are always informed about how their information is used.
Privacy-first roadmap
GDPR-aligned data handling, right to deletion, data export and audit logs are on our roadmap, not afterthoughts.
Know which channels bring strong candidates
Stop guessing where to post your jobs. Get clear data on which sources deliver the best technical fits.
TechHire Inbox tracks every candidate's source — Telegram channel, email newsletter, community post or job board. 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 TG
2h
Time to qualified shortlist
Average match score by source
Last 30 days
Join the waitlist
We are onboarding early teams gradually. Tell us about your hiring context and we'll prioritize your access.