Aditya (TikZSZ)

The Technical Reality: Resumes and portfolio claims have lost signal to AI boilerplate, while standard coding puzzles test memorization over real engineering judgment. Senior technical interviewers lose hours before calls attempting to manually audit complex GitHub repositories, or enter calls unprepared to test architectural depth.

AST-Level Auditing & Live Probes: Clyris parses applicant repositories in bulk down to the AST. It differentiates authentic production architectures from popular 40-hour tutorial clones and validates claims made in resumes against actual commit histories. Rather than a vague numerical score, it generates a targeted 5-minute live technical interview script: extracting exact code snippets with subtle race conditions, unhandled failure windows, and providing the interviewer with fast-fail probes and red-flag rubrics.

The Distribution Challenge: Running cross-regional outbound across international timezones is fundamentally unsupported by standard sales software. Commercial platforms (Clay, Apollo) charge thousands in markups on stale databases, while traditional CRMs (Salesforce, HubSpot) require tedious manual logging, fail to capture context from LinkedIn DMs, and turn sales execution into slow administrative overhead.

The Bespoke Revenue Stack: Architected a 24/7 autonomous distribution engine powering Clyris customer acquisition from zero. Ingests 59,185+ live hiring intent signals directly from source job boards, enriches decision-makers at rock-bottom cost using Exa semantic search, and runs multi-layer SMTP waterfall hygiene. Dispatches via a custom Master-to-Child campaign sequencer across 4 regional cloud fleets, wired directly into an AI-native CRM memory brain.