¿Puedo vibecodear Saply?

PARCIAL · un fin de semana

precio $230/mesahorrarías $2,760/añotiempo de build un fin de semanacategoría 🤖 automatizaciónreemplazada por 0 personas

A capable coding agent can build the personal core: extract a clean, text-based CV, structure or tailor it with an LLM, and render a branded DOCX. It will work on tidy CVs and silently drop data on the rest. Saply's value is extraction accuracy across thousands of real-world CV layouts, tuned so no field goes missing on a client-facing document, plus the integrations that keep recruiters inside Word, their email, and their ATS.

el prompt

Build me a local CV formatting pipeline to replace Saply for personal use. Requirements:

- A Node + Express app on localhost:4173 with one page to upload a PDF or DOCX,
  choose a file from templates/, add an optional job description, and run the job.
- Extract DOCX text with mammoth and PDF text with pdftotext. Detect image-only files
  and stop with a clear message instead of producing an empty CV.
- Send extracted text to an LLM API of your choice, key from .env, using a strict JSON
  schema for contact details, summary, skills, experience, education, and certificates.
- Never invent employers, dates, qualifications, or skills. Missing values stay null,
  and every tailored claim must be supported by the source CV.
- Render the JSON into the selected tagged Word template using docxtemplater and PizZip,
  preserving its fonts, colors, tables, headers, footers, and repeating experience rows.
- When a job description is present, show a 0-100 match score, strengths, gaps, and
  questions. Rewrite the summary and bullets only when a Tailor checkbox is enabled.
- Save job metadata and structured JSON in SQLite via better-sqlite3. Delete uploaded
  source files and generated documents after 24 hours.
- Bind to localhost only, with no accounts or telemetry. Data leaves the machine only
  for the documented LLM call.
- Out of scope: OCR for scanned CVs, Word or Google Docs add-ins, ATS/email integrations,
  bulk processing, collaboration, and enterprise compliance controls.
- Include a sample tagged template, two fixture CVs, extraction/render smoke tests, and
  a README covering setup, .env, template tags, retention, and the honest limitations.
- Be aware of the hard part: CVs vary wildly in structure (two-column layouts, tables,
  sidebars, mixed date formats), and a schema that runs fine on the fixtures will
  silently miss fields on real-world CVs. Test on messy inputs and document what gets
  dropped.

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por qué la gente sigue pagando

A recruiter cannot ship a client CV with a missing employer or certification, and cannot lose a minute fine-tuning output: in staffing, quality and speed win the placement. Teams pay for extraction that does not miss data across wildly varied CVs, output that is right the first time in their own and EU tender templates, and the ease of working directly inside Word, Google Docs, email, and their ATS. CVs are also security-sensitive documents, and certified handling is part of what agencies are buying.

qué pierdes

xextraction accuracy across thousands of real-world CV layouts, tuned on years of data so nothing is silently dropped

xOCR for scanned and image-based CVs

xthe AI agent that edits any CV in plain language directly inside Word and Google Docs

xWord, Google Docs, email, and ATS integrations (Bullhorn, Carerix, Spott, Loxo)

xEU tender templates (Europass, DIGIT-TM III, ITUSS21) plus anonymisation and translation

xISO 27001 certified handling of security-sensitive candidate data

xbulk processing, team workflows, SLA, and enterprise support

compartir en X ↗"Acabo de reemplazar Saply ($230/mes) con un prompt"

la salida

¿No quieres construirlo? Esta gente ya lo hizo gratis.

Resume MatcherUpload a master CV, paste a job ad, get a tailored PDF; the staffing dashboard is what you do not get.25kaug 2026open source↗

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