logr

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](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

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

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).
• ANTHROPIC_API_KEY — optional alternative to OpenRouter; calls the Anthropic API directly and wins when both are set (ANTHROPIC_MODEL, default claude-haiku-4-5).
• AWS_* — optional; S3 image storage (falls back to ./public/uploads).

Project structure

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/ . Primary agent context lives at logr.it/ /llms.txt, with complete Markdown at logr.it/ /llms-full.txt and logr.it/ .md.