Continue – Source-controlled AI checks, enforceable in CI
Source-controlled PR checks that agents can fix; solves agent code review at scale.

Reverse image + identity search for catfishing, but reverse.google and Pipl already solve this.
Remote hiring teams, online marketplace moderators, dating app users, OSINT practitioners
Pipl · Social Bearing · InteliUS
Fake freelancers, fake founders, impersonation accounts, recycled profile photos — everything looks legit on the surface. Reverse image search helps a bit, but it’s fragmented and slow if you want a quick signal.
So I started building NexID — a simple identity search tool that tries to answer one question:
“Does this person actually exist across the web?”
You can drop in a photo, username, or basic info and it scans public signals across platforms to see if there’s a consistent digital footprint. The goal isn’t surveillance or background checks — just helping people avoid obvious catfish/scam situations or verify who they’re dealing with.
I built the first version mainly for:
- remote hiring - online collaborations - marketplaces - dating / social - OSINT curiosity
Still very early and rough around the edges. Would genuinely love feedback from the HN community on:
1. Does this feel useful or unnecessary? 2. Where would you realistically use something like this? 3. What would make you trust a tool like this?
Happy to answer anything about how it works or the challenges building it.
Thanks
Source-controlled PR checks that agents can fix; solves agent code review at scale.
14-check risk gate and 7-trigger circuit breaker beat Backtrader's basic safeguards.
This repo actually wires the specfact CLI to a tiny, reproducible codebase so you can import-from-code, generate .specfact bundles, and run enforcement presets with one-liners. The backlog-sync adapter and a deliberately buggy sidecar demo make failure modes easy to exercise, and the README lists exact smoke commands and logs to verify results. Inferred specs will always risk false positives, but the project shows practical artifacts (change_tracking, results logs) rather than theory.
Reverse code review flips the paradigm — AI quizzes YOU before merge.
Educational AI wrapper—Duolingo, Khan Academy AI, and paid tutors already own this space.
Yet another image resizer, but the 60+ platform specs database is thorough.