Hackobar: The AI News Aggregator You Didn't Know You Needed
Hackobar takes the chaos out of AI news by fetching and filtering content from multiple sources. It's built for engineers, researchers, and anyone tired of missing out.
Keeping pace with the relentless flow of AI news can feel like a full-time job. Enter Hackobar, a new tool that aims to make easier this chaos by aggregating content from a countless of sources like Hacker News, arXiv, GitHub, and more. It's an engineer's dream, designed for those who want to stay updated without drowning in the sea of information.
The Challenge
The creator of Hackobar faced several hurdles in making this happen. Fetching news is no small feat. Different sources demand different update frequencies. While checking Hacker News or Reddit for the latest trends is essential, refreshing AI lab blogs every few hours just isn’t practical.
Filtering the sea of articles was another puzzle. Using top-level keywords and Gemma 4’s 26B batch classifier, Hackobar ensures that only the AI-relevant pieces make the cut. But with multiple platforms featuring the same story, deduplication was key. A three-layer pipeline using URL normalization, Jaccard on word tokens, and Gemma semantic matching took care of that, ensuring the most original and engaging content surfaces.
Quality Over Quantity
Scoring each piece based on engagement, cross-platform signals, and recency keeps the best content front and center. This approach also prevents research from being overshadowed by social media noise. Summarization takes it a step further. Using Claude, each article is distilled into a single line title and a 50-word summary, focusing on architecture, benchmarks, and real-world impact. No hype here, just the facts.
Initially supported by Cloudflare’s free tier, the project shifted to a paid model to handle more complex deduplication processes. The stack includes Next.js on Cloudflare Pages, Hono API worker, Supabase, Anthropic Claude, and Gemma via Cloudflare Workers AI.
Worth Your Time?
Hackobar doesn’t stop at aggregation. It offers a unique lens, highlighting how AI news impacts various roles, from builders to policy makers. Is this feature truly useful, or is it just a gimmick? That’s up for debate. But it’s a bold attempt to contextualize news for diverse audiences.
So, is Hackobar the future of AI news consumption? For anyone overwhelmed by the sheer volume of information, it might just be. By focusing on quality and relevance, it promises a more manageable way to stay informed. But, as always, the real test will be whether it resonates with its audience.
No paywalls and no logins make it easily accessible for everyone. Hackobar could be the tool you didn’t know you needed. Time will tell if it revolutionizes how we keep up with AI, but it’s certainly off to a promising start.
That's the week. See you Monday.
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