Introducing wideriver.tech: Your Daily AI Intelligence Hub

The AI landscape moves fast. Too fast. Every day brings new model releases, benchmark updates, tool launches, and research breakthroughs. For builders and practitioners, staying current means monitoring dozens of sources, filtering signal from noise, and synthesizing information across fragmented channels.

We built wideriver.tech to solve this problem.

The Information Fragmentation Problem

As AI builders ourselves, we noticed a pattern: great insights were scattered everywhere. Reddit threads, Hacker News discussions, academic papers, GitHub releases, company blogs. No single destination provided the comprehensive, curated view we needed to make informed decisions about which models to use, which tools to adopt, or which developments actually mattered.

The existing options fell short:

• General tech news sites covered AI superficially alongside everything else
• Research aggregators focused on papers without practical builder context
• Social media generated more noise than signal
• Vendor blogs prioritized marketing over honest analysis

We needed something different: a daily control center built specifically for AI practitioners.

What is wideriver.tech?

wideriver.tech is a signal-over-noise platform for AI builders, built on three core pillars:

1. Curated AI News Aggregation

We automatically collect AI news from trusted sources and filter it through a builder-focused lens. Our automation system:

• Monitors key RSS feeds and news sources
• Filters for relevance to AI builders
• Removes marketing hype and duplicate coverage
• Surfaces actionable insights

Every day, you get the AI news that actually matters, without the noise.

2. LLM Benchmark Comparison

Choosing the right LLM for your use case shouldn't require reading dozens of benchmark papers. Our benchmark database provides:

• Standardized performance metrics across models
• Apples-to-apples comparisons
• Context on what different benchmarks actually measure
• Cost and latency considerations alongside capabilities

Compare models instantly and make informed architectural decisions.

3. Builder-Focused Insights

Our blog delivers practical insights from the perspective of people building with AI:

• Technical deep-dives on real implementation challenges
• Honest tool and framework comparisons
• Analysis of industry trends that affect builders
• No marketing hype, just signal

How We Built It

wideriver.tech demonstrates the power of modern web infrastructure for automation and scale:

Frontend:

• Next.js 15 with App Router for performance and SEO
• TypeScript for type safety across the stack
• Tailwind CSS for responsive, maintainable styling
• Server-side rendering with Incremental Static Regeneration

Backend:

• Next.js API Routes deployed as serverless functions on Vercel
• Supabase PostgreSQL for structured data storage
• Prisma ORM for type-safe database access
• Vercel Cron Jobs for automated news aggregation

Content:

• MDX for rich blog content with code examples
• RSS feed generation for newsletter subscribers
• Social sharing integration
• Comment system for community discussion

The entire platform runs on serverless infrastructure, enabling us to deliver fresh AI news daily without managing servers.

Example: Automated News Aggregation

Here's a simplified version of our news aggregation workflow:

import Parser from 'rss-parser';
import { prisma } from '@/lib/database/client';

interface RSSFeed {
  url: string;
  source: string;
  category: 'news' | 'research' | 'tools';
}

async function aggregateAINews(feeds: RSSFeed[]) {
  const parser = new Parser();
  const articles = [];

  for (const feed of feeds) {
    try {
      const parsed = await parser.parseURL(feed.url);

      for (const item of parsed.items) {
        // Filter for AI-relevant content
        if (isAIRelevant(item.title, item.content)) {
          articles.push({
            title: item.title,
            url: item.link,
            source: feed.source,
            category: feed.category,
            publishedAt: new Date(item.pubDate),
          });
        }
      }
    } catch (error) {
      console.error(`Failed to parse ${feed.source}:`, error);
    }
  }

  // Store in database
  await prisma.newsArticle.createMany({
    data: articles,
    skipDuplicates: true,
  });

  return articles;
}

function isAIRelevant(title: string, content: string): boolean {
  const aiKeywords = [
    'llm', 'large language model', 'gpt', 'claude',
    'machine learning', 'neural network', 'transformer',
    'ai model', 'artificial intelligence'
  ];

  const text = `${title} ${content}`.toLowerCase();
  return aiKeywords.some(keyword => text.includes(keyword));
}

This runs daily via Vercel Cron, keeping our news feed fresh without manual curation.

Why "wideriver"?

The name reflects our philosophy: a wide river carries more water than scattered streams. By consolidating AI information into a single, curated channel, we provide more value than dozens of fragmented sources.

Plus, we appreciate good wordplay.

What's Next

We're just getting started. Our roadmap includes:

• Enhanced Benchmark Database: More models, more metrics, custom comparison views
• Newsletter Delivery: Daily or weekly AI digest sent directly to your inbox
• Advanced Filtering: Customize news and benchmark views to your specific interests
• API Access: Programmatic access to our curated news and benchmark data
• Community Features: Discussion threads, tool recommendations, builder profiles

Join the Community

wideriver.tech is built for AI builders, by AI builders. We're creating the daily control center we wish existed when we started working with LLMs.

Explore our benchmark comparisons, browse our curated news, or subscribe for daily updates. Have feedback or suggestions? Drop a comment below or reach out.

Welcome to wideriver.tech. Let's build better AI, together.

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