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I built this tool because I was tired of seeing the same tiresome resumes filled with corporate buzzwords and exaggerated achievements. As someone who's reviewed countless job applications, I knew we needed something that could cut through the BS while actually helping people improve.

This isn't your typical resume reviewer – it's more like that brutally honest friend who roasts your LinkedIn profile at 2 AM but then helps you make it better. I trained it on thousands of real resumes, feedback from hiring managers, and a healthy dose of comedy writing to create something that's both entertaining and genuinely useful.

The system analyzes everything from overused buzzwords to questionable achievements, delivering feedback with a healthy mix of snark and constructive criticism. It's particularly good at identifying those cringe-worthy phrases we're all guilty of using ('detail-oriented team player,' anyone?) and suggesting alternatives that won't make hiring managers roll their eyes. While the tone is humorous, the underlying advice is solid – backed by real recruiting insights and years of resume screening experience.

Did I go overboard with the sass? Maybe. But after seeing the tenth 'dynamic self-starter' in one day, I figured we could all use a laugh while fixing our resumes.


  - Stack:
    - Application FE:
      - Next JS (Hosted via Vercel)
      - Hasura GraphQL for real-time messaging.
      - Supabase for Auth and hosted Database.

    - Application BE:
      - PostgreSQL via asyncpg (no ORM)
      - Uvicorn - hosted on AWS Lightsail.
      - Redis - as a message queue.
      - Hasura GraphqlQL for real-time messaging.
    
    - Monitoring:
      - Axiom https://axiom.co/vercel as it integrates with Vercel.

    - Packaging:
      - Docker & docker-compose


I came here to post about this. Very impressive. I wonder how he got the model to such high level of 3d Fidelity. Can PVC objects be additively manufactured?


Notion too. Slash commands (command pallete) provide a quick and easy way to execute actions without navigating through menus. I would argue that slash commands are much more discoverable than keyboard or graphical menus since they present of the option for documentation snippets.



These comments assume readers are deeply familiar with the workings of quantum computers. Here's a brief background on Glover's algorithm for those who are new: https://vertex.pub/Grover-s-Algoritm-3f98327e2e84482a93846d4...


How is this different from Super.so?



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