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APPLIED AI / KNOWLEDGE SYSTEMS

Tech Radar.

Save a link. Build a body of evidence.

Tech Radar turns the habit of saving interesting tools into a repeatable research and publishing workflow.

Visit projectView source

  • Public findings + RSS

  • Git-backed research

TECH RADAR / PUBLIC FINDINGS

A feed with follow-through.

Explore all findings ↗

Oct 12, 2026

strong
api-anything

Turn Any Website into an API — TypeScript library that converts any website into an agent-callable API, learning from the site's frontend and auto-healing on site changes.

Oct 12, 2026

weak
REA

Reverse Engineer Anything MCP — An MCP server for AI-assisted reverse engineering of binaries, applications, and runtime behavior down to the binary level.

Sep 28, 2026

review
Apple Intelligence On-Device AI for Mac

Apple's free, private, on-device AI built into modern Macs and iPhones for tasks like transcription, summarization, and app building.

Real public findings captured when this case study was built. Open a finding to inspect its source and research.

TECH RADAR / PRODUCT VIEW

Tech Radar workflow: capture, research, and publish
Pipeline illustration: a saved link becomes a source-backed finding.

01 / THE BUILD

The starting point

Saved posts are easy to accumulate and hard to evaluate later. A useful finding needs the original context, evidence about the tool, and an explanation of where it could fit in a real project.

02 / THE BUILD

The experience

  1. 01

    Submit a URL through the web interface, Telegram, an iOS Shortcut, or the API.

  2. 02

    Extract source text or transcripts and research the underlying technology.

  3. 03

    Record evidence quality and a project-specific implementation idea.

  4. 04

    Publish a structured finding to the knowledge base and browse it through the public Radar.

03 / THE BUILD

Under the hood

A TypeScript/Fastify API orchestrates extraction, Claude-powered research, and project-fit analysis. Findings are written as Markdown to a Git-backed knowledge base. The Next.js portfolio consumes a validated public API and provides search, evidence filters, and RSS discovery.

Store research as inspectable Markdown

Git-backed findings preserve a reviewable artifact outside the interface. The public feed can be rebuilt from the knowledge base rather than becoming the only place the research exists.

Separate capture from evidence

A social post can introduce a tool without establishing its claims. Extraction retains the source context; research and evidence labels make the remaining uncertainty explicit.

Keep reading available when processing is not

The public portfolio validates the feed and uses a committed fallback if the API fails. Readers can continue browsing without depending on a new extraction run.

Tech Radar workflow overview
Workflow overview: the stages behind the product.

BUILT WITH

  • TypeScript

  • Fastify

  • Claude

  • Zod

  • Python

  • GitHub API

  • Next.js

  • Railway

04 / THE BUILD

Making it dependable

Serialized processing prevents concurrent Git writes from racing.

Schema validation and an offline snapshot keep the public feed available when the API cannot be reached.

Evidence labels distinguish stronger source material from findings that still need review.

PROJECT STATUS

The API runs on Railway and the public findings feed is live on this portfolio.

KEEP EXPLORING

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