logr

A personal portfolio + AI context layer. Most people have a LinkedIn. Nobody has a structured, machine-readable, queryable version of their story that works with any AI tool. logr fills that gap — an editorial life-log that is beautiful for humans to read and structured for AI to query.

You log your story once. It becomes three things:

a timeline at logr.it/you — year-grouped, hover-to-expand, in your choice of 9 palettes × 8 layouts,
machine-readable Markdown context any AI agent can ingest — the real moat, and
a grounded AI chat widget where visitors ask questions answered strictly from your log.

See ROADMAP.md for what's built and what's next.

Features

Multi-user — sign in with Google, claim a handle at /welcome, edit at /dashboard with a live preview.
AI import — paste your story, upload a resume (PDF/DOCX), or point at a URL; AI structures it into timeline events you review and confirm before anything is saved.
Grounded chat — the visitor chat is prompted with the same complete Markdown context as the public routes, streams via OpenRouter, and is rate-limited. Facts-only: if it's not in your log, it says so.
Theming — 9 palettes (incl. dark ink) × 8 layouts (timeline, journal, magazine, terminal, feed, card, centered, polaroid), persisted per profile, previewable live.
Pinned events — pin up to 7 events from the dashboard events tab (pins dialog); they replace the "recent" side rail (and the OG image's rail) and are marked in the Markdown context.
Media — image upload (S3, or local FS in dev), video/tweet embeds, unfurled link cards, dynamic OG image per profile.

Chat, S3, and Google auth are each feature-gated on their env vars and degrade gracefully when unset.

Routes

Route	What
`/`	Marketing landing
`/[username]`	Public timeline (e.g. `/koshik`)
`/[username]/ask`	Dedicated, shareable grounded-chat page
`/[username]/llms.txt`	Primary Markdown context; full unless the profile is oversized
`/[username]/llms-full.txt`	Complete, unabridged Markdown context
`/[username].md`	Clean Markdown counterpart to the public profile
`/[username]/llm.txt`	Legacy-compatible complete context URL
`/mcp`	Global MCP server (Streamable HTTP) — agents query any public profile; OAuth-authorized owner writes
`/oauth/authorize`	OAuth 2.1 consent screen for MCP write access (+ `/api/oauth/token`, `/api/oauth/register`, `/.well-known/*` discovery)
`/api/[username]/chat`	Streaming grounded chat API
`/dashboard`	Owner editor (auth-gated) — profile · events · appearance · import
`/welcome`	Onboarding — claim a handle, seed your timeline
`/login`	Google sign-in

Tech stack

Next.js 16 (App Router) · React 19 · TypeScript · Postgres (Supabase) + Prisma 6 · Auth.js (NextAuth v5, Google OAuth) · Vercel AI SDK via OpenRouter · AWS S3 (local FS in dev) · Tailwind v4 + scoped CSS driven by theme tokens · Source Serif 4 + JetBrains Mono · Vercel.

Running locally

Terminal

npm install
cp .env.example .env     # fill in the values below
npx prisma migrate dev   # applies migrations to your Postgres
npm run db:seed          # loads a demo profile + ~18 events
npm run dev              # http://localhost:3000

.env (see .env.example for details):

DATABASE_URL / DIRECT_URL — Supabase Postgres; transaction pooler (:6543, ?pgbouncer=true) for runtime, session (:5432) for prisma migrate.
AUTH_SECRET + AUTH_GOOGLE_ID / AUTH_GOOGLE_SECRET — Google sign-in for /dashboard and onboarding.
OPENROUTER_API_KEY — optional; enables the visitor chat + AI import (OPENROUTER_MODEL to override the default model).
AWS_* — optional; S3 image storage (falls back to ./public/uploads).

Project structure

server.ts

design/                     # design handoff — visual source of truth (not shipped)
prisma/
  schema.prisma             # Profile, User/Account/Session, Event, Media, ChatMessage
  seed.ts                   # demo profile + events
src/
  auth.ts                   # NextAuth (Google + Prisma adapter)
  app/
    page.tsx                    # marketing landing
    [username]/page.tsx         # public timeline (SSR)
    [username]/llms.txt/route.ts # primary machine-readable context
    [username]/opengraph-image.tsx
    dashboard/page.tsx          # owner editor (auth-gated)
    welcome/page.tsx            # onboarding / handle claim
    api/[username]/chat/route.ts# streaming grounded chat
    api/upload/route.ts         # image upload
  components/
    Portfolio.tsx, ChatWidget.tsx, ShareModal.tsx, ...
    admin/                      # dashboard: forms, theme editor, events, import dialogs
    onboarding/, marketing/, ui/
  lib/
    actions.ts                  # all server actions
    chat.ts, narrate.ts, import.ts, llmtxt.ts, profile.ts, theme.ts, storage.ts, ...

JSON-shaped fields (socials, theme, event link) are stored as serialized strings so the schema stays portable. Outbound fetches of user-supplied URLs go through the SSRF-guarded client in lib/import.ts.

Domain

Product domain logr.it; portfolios at logr.it/<handle>. Primary agent context lives at logr.it/<handle>/llms.txt, with complete Markdown at logr.it/<handle>/llms-full.txt and logr.it/<handle>.md.