INTELSLATE

Strength MeterLog records
+1.0% ▲
1d
Portfolio
+€701.84 (+5.1%) ▲
14,383.99
1moEUR
Stock Insight
TSLA logo
TSLA
+2.19(+1.01%) 1d
▲
219.44
USD
AAPL logo
AAPL
+1.97(+1.01%) 1d
▲
197.03
USD
SFTBY logo
SFTBY
+0.20(+0.99%) 1d
▲
20.36
USD
NVDA logo
NVDA
+8.98(+1.01%) 1d
▲
898.38
USD
META logo
META
+4.66(+1.01%) 1d
▲
465.53
USD
AI Summary
TSLA
  • Tesla is scaling Megapack manufacturing capacity to address surging demand for grid-scale battery storage solutions.
  • Full Self-Driving version 13 introduces enhanced urban navigation and reduced intervention rates across the fleet.
AAPL
  • Fortune 500 companies are adopting Vision Pro for design reviews and remote collaboration, driving enterprise revenue.
NVDA
  • Blackwell architecture GPUs are seeing unprecedented demand from hyperscalers, with order backlogs extending into next quarter.
  • Multiple governments are partnering with NVIDIA to build domestic AI compute infrastructure, diversifying revenue streams.
IntelSlate

IntelSlate

Stock portfolio app with AI news intelligence for e-ink terminals

Track up to five stocks with a live portfolio overview, fetch and AI-summarize relevant news for at-a-glance insight, and customize chart timeframes — all rendered for a quick e-ink screenshot.

What this project explores

Theming

Strong theming engine — special components, layouts and ornaments change entirely between themes

Performance

Device wakes, screenshots, sleeps. SSR-cached frontend with pre-cached data delivers sub-second loads

Cost efficiency

AI summarization runs once daily on a curated selection. Market data scraped hourly to stay within rate limits

Built with

Next.js 16, React 19, TypeScript, Prisma, Tailwind CSS v4, Nivo charts, next-intl (EN/JA)

  • •Two complete themes — not just dark/light but a full visual overhaul with custom fonts, layouts and ornaments
  • •Internationalization from day one with English and Japanese
  • •Cron-based data pipelines with AI summarization and graceful fallback (Claude to Ollama)
  • •SSR + caching architecture designed for real e-ink device constraints

Context

Built to explore AI-harnessing and spec-engineering workflows, and real use cases for e-ink terminals (TRMNL device)

AI workflow

Spec-driven, harnessed AI with a frontend dev-style workflow — from product brief to implementation, not vibe-coded

How to run it

Clone the repository, install on your server and screenshot the website from your terminal

About this demo

The portfolio displays seeded dummy data. In production, live market data and AI summaries refresh on schedule.