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Press and media kit

Verified context for Abanoub Rodolf Boctor and ThynkQ.

Use this page as the single source when writing about Rodolf, ThynkQ, and founder-led AI engineering delivery. Every proof row below links to a public source.

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ClaimSourceHow to use

Founder-led execution from scope to launch and handoff

About page

Use when describing ThynkQ delivery ownership and accountability model.

Public proof boundaries and source-linked validation

Public proof ledger

Use when asked how claims are verified before a commercial decision.

21-day product launch case context with architecture detail

How to Build a SaaS in 2 Weeks

Use as the flagship execution case when discussing velocity and production scope.

138,236 lines by day 6 with public implementation commentary

Building 138K Lines of TypeScript in 6 Days

Use when technical audiences ask for engineering depth and build intensity evidence.

Transparent 3-tier pricing plus short-term plans

Pricing page

Use for transparent commercial framing in interviews, podcasts, and analyst notes.

Short bio

Abanoub Rodolf Boctor is the founder of ThynkQ, an AI engineering company in New York. He works directly with founders and operators to ship production software fast, with clear scope, weekly proof checkpoints, and maintainable handoff quality.

Long bio

Abanoub Rodolf Boctor, known as Rodolf, is founder and CTO at ThynkQ. He leads founder-facing software delivery across Technical Audits, Product Builds, and Fractional CTO engagements. His work focuses on production AI systems, full-stack architecture, and launch execution with direct accountability from scope to deploy. ThynkQ is built around one owner model, where delivery quality, decision velocity, and technical clarity stay in one loop instead of being diluted across large agency layers.

Interview angles

  • Why founder-led engineering can out-ship agency coordination for launch-stage teams.
  • How to decide between Technical Audit, Product Build, and Fractional CTO without wasting budget.
  • What production AI integration gets wrong, and the architecture rules that prevent expensive rewrites.
  • How to run weekly proof checkpoints so non-technical founders can still control technical risk.

Quick links

Founder profileSpeaking profileAbout ThynkQPublic proof ledgerServicesPricingWriting index
thynk

AI Engineering Company based in New York. We build production-grade platforms at unprecedented speed.

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