Any non lazy hr here who would love to know about new tech for easy and reliable hiring
I'm building Oddit, a developer credibility platform. The idea is that the best proof of what an engineer can do is the code they've already written, not their resume or their GitHub stars. So I built an AI audit engine that actually reads your code and judges it the way a senior engineer would.
You submit a repo and it scores your work 0–100 across four things: depth of engineering, how hard the problems were, implementation quality, and how much the work actually mattered. Every finding points to a real file and line, so it's not just a number you have to trust.
It also goes past "how good is this code" into "what kind of engineer is this person." It reads your commit history to surface work patterns, like how you break down problems, how disciplined your iterations are, whether you self-correct, whether you actually finish what you start. Eleven different signals, each backed by real commits, plus the notable judgment calls behind your work.
All of that turns into a public portfolio you can share with anyone. And hiring teams use the same engine from the other side to search and vet candidates by what they've actually built.
It's live: DM to try
What are you building today?
Oddit is a dev evaluation engine that turns a candidate's real shipped code into a 5-minute hire memo with file-and-line evidence and 11 work-pattern signals on how they actually engineer.
Hiring developers in 2026 has broken in a specific way. Candidates use AI to write their resumes. Engineers use AI to write the code they ship. Greenhouse's 2026 AI in Hiring Report (n=4,136) found 86% of recruiters caught or suspected candidate fraud last year, and 42% of candidates admit prompt-injecting their resumes. Meanwhile JetBrains' January 2026 survey of 10,000+ developers shows 90% use AI tools at work to write code.
So hiring teams have never had more evidence about a candidate, and never had less signal about whether the work is actually theirs or how they actually think. Bersin pegs the all-in cost of one bad senior engineering hire at $375k to $500k. Hiring managers are spending an hour or more reading each candidate's code and projects before a final-round call, guessing at what's AI-generated and what isn't, and still getting it wrong.
We solve this by auditing the candidate's actual code and producing a hire memo in 5 minutes. The memo classifies what they wrote (custom vs framework glue vs AI-assisted), cites file-and-line evidence for every claim, and surfaces 11 work-pattern signals (rationale habit, iteration discipline, decision quality, scope management, and 7 more) so the hiring team sees not just what they shipped but how they actually engineer.
Built and shipped the engine. Working multi-model audit pipeline in production: Code Property Graph analysis across 15+ languages via tree-sitter, 17 deterministic pattern detectors, a tool-calling verification agent that re-checks every claim against the actual code, and 11 person-level work-pattern signals across all of a developer's audited work. 153 audits run on real developer code since the May launch. 77 users signed up.