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Case Study  ·  Linktank

AI-powered event, expert & job aggregation SaaS platform

Linktank: a consumer-facing SaaS platform that automatically discovers, structures, and publishes public-policy events, expert profiles, jobs, and live news monitors at scale using AI.

Roles

  • Product Strategy
  • Product Engineering
  • Product Design
  • AI Data Extraction
  • Infrastructure Architecture

Deliverables

  • Multi-source scraping engine
  • AI extraction & structuring pipeline
  • Admin CMS & moderation
  • User portal & search
  • Live news-monitoring agents
  • SaaS subscription infrastructure

Technologies

  • Next.js, TypeScript, Tailwind CSS
  • Python scraping infrastructure
  • OpenAI Integration
  • PostgreSQL
  • Stripe Subscriptions
Linktank membership landing
Linktank: access events, experts, jobs, and live policy monitors from the world's leading institutions, in one place
Hundreds
Of sources continuously monitored and ingested
1,000s
Of events, experts, and jobs structured by AI
SaaS
Subscription-ready platform launched end-to-end
Background

The policy world's information, scattered across the web

Linktank is a consumer-facing SaaS platform serving professionals in the public-policy ecosystem. Its goal is simple: make it easy to discover, track, and save the events, experts, and opportunities happening across the policy space.

The challenge was that this information lives across hundreds of unrelated websites: government agencies, think tanks, nonprofits, advocacy groups, and industry organizations, all with inconsistent formatting and no centralized listing.

The opportunity was to build a scalable platform that automatically finds this content, structures it using AI, and presents it in a clean, searchable interface for users.

The challenges

Structure at scale from unstructured web pages

01

Scattered information across hundreds of sites

Events, expert bios, and job postings were distributed across hundreds of websites with no standardized structure.

02

Every page laid out differently

Each source page had a different layout, making traditional rule-based scraping fragile and inconsistent.

03

Manual curation didn't scale

Manually tracking and logging listings would never keep pace as the number of sources grew.

04

It still had to feel like a polished product

Beyond ingestion, the platform needed a searchable, subscription-based experience with saved items and user accounts.

Our solution

An AI ingestion engine behind a clean consumer product

AI-powered scraping & structuring: events, experts & jobs

We built a scalable scraping engine that continuously monitors hundreds of websites and ingests three content types: policy events, expert profiles, and job postings. Instead of relying on rigid scraping rules alone, we layered AI extraction to identify the relevant details within semi-structured content, extract key fields (for events: title, date, time, organization, location, description, registration link; for experts: name, title, affiliation, focus areas, bio; for jobs: role, employer, location, type, description, apply link), normalize inconsistent formatting, deduplicate overlapping listings, and tag and categorize everything intelligently.

AI lets the system adapt to different page layouts and maintain high extraction accuracy at scale, across all three content types.

Event discovery with filters
Structured output: hundreds of sources normalized into a single searchable feed, filterable by topic, format, date, and organization
Linktank jobs board: curated policy roles
The same engine powers a curated jobs board: policy roles scraped from think tanks, NGOs, and government orgs (Brookings, RAND, CSIS, CFR…)

Centralized database & admin CMS

We designed a structured backend database that stores all extracted events, experts, and jobs in normalized fields. The admin interface enables manual logging, editing AI-extracted fields, reviewing and approving submissions, managing duplicates, and moderating user-submitted content, ensuring data quality while maintaining automation efficiency.

Consumer-facing SaaS platform

On the front end, we built a clean, searchable discovery experience where users can browse and filter events, experts, and jobs by topic, date, organization, or location; save items to their profile; log in and manage preferences; and submit listings for review. The platform includes authentication, subscription management, and tiered access through Stripe integration.

Linktank mobile: events list
Linktank mobile: event detail
Event detail slide-over
Full event detail: description, agenda, speakers, and one-click register, on desktop and mobile

AI-enhanced categorization & search

AI is also used for automatic topic tagging, entity recognition (organizations, speakers, experts), content summarization, improving search relevance, and smart filtering suggestions, transforming raw web pages into structured, discoverable content tailored for end users.

Live monitors: track ongoing situations in real time

Beyond discrete listings, we built live monitors: AI agents that continuously scrape news across hundreds of sources to track evolving situations: geopolitical crises, policy developments, regulatory shifts. Each monitor auto-classifies incoming articles, summarizes the state of play, and surfaces what changed since the last update, giving users a single live view instead of a hundred browser tabs.

Middle East Crisis Monitor
A live monitor: 142 days tracked, 516 articles across 8 categories, with an always-current AI overview of the situation
Monitor article feed scraped from news sources
Continuously scraped and categorized coverage: every relevant article from across the web, tagged and time-stamped
Results

Fragmented web content, turned into a scalable SaaS product

  • Eliminated manual tracking of events, experts, and jobs
  • Delivered a clean, searchable consumer experience
  • Enabled user submissions and moderation workflows
  • Launched a monetizable, subscription-ready SaaS platform
  • Built scalable AI ingestion infrastructure supporting long-term growth

Linktank is a clear example of how AI can power the backend of a consumer-facing product, transforming fragmented web content into a structured, scalable SaaS experience.

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