Read
PDFs, text, markdown, repositories and profile data all become plain text. Scanned images are rejected out loud rather than silently producing nothing.
everbrain — your living record
Certificates, repositories, resumes and offer letters — read, understood and connected to each other. Your originals are never touched.
the sample needs no account · your originals are never modified
You have done a lot.
None of it is in one place.
Certificates in an inbox. Project reports on a dead laptop. An offer letter in a folder you cannot remember naming. Storage can hold all of it and still not know that the certificate you earned in March is why you got the internship in June.
Seven kinds of thing, and every link between them.
Each has its own colour, used consistently everywhere — in search results, on the timeline, in the graph, on your card. Learn it once here and you can read the whole app at a glance.
Anything you built — a repository, a report, a deployed thing.
Kontrib · FastAPI, FAISS, React
Technologies and techniques, ranked by how well evidenced each one is.
PyTorch · demonstrated in 4 documents
Credentials, with the issuer and what they actually validate.
TensorFlow Developer · Google · Mar 2024
Placements and fellowships, with the real date ranges attached.
ML Intern · Vertex Labs · Jun–Aug 2025
Awards, rankings, and the specific work they were won for.
First place · Meridian Hackathon 2026
Degrees, institutions and coursework that anchor the start.
B.Tech CSE · 2023–2027
Paid work: full-time, contract and freelance roles.
Freelance developer · 2025–present
Plus organisations, people and roles — the quieter nodes that hold the seven together.
Build yours →Files you upload, plus public profiles.
Four passes over every document.
PDFs, text, markdown, repositories and profile data all become plain text. Scanned images are rejected out loud rather than silently producing nothing.
Every skill, date and project must quote the document word for word. If the quote is not found in the source, the fact is thrown away instead of stored.
has demonstrated proficiency in TensorFlow and deep learning
The same thing named five ways becomes one node. Spelling is handled by rules; genuine abbreviations are judged by a model, because similarity alone would merge deep learning into machine learning.
Links no single document stated get proposed across the whole graph — and every one carries a sentence explaining itself. A connection that cannot be explained is not shown.
“Your certificate from March 2024 covers the framework this role was built on.”
Your files stay exactly as you uploaded them. Nothing is rewritten, nothing is replaced — every answer links straight back to the original document it came from.
open source · MIT