Source linked

تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا تكنولوجيا

hackernewstrends.com@bold_bear3 hours ago·Developer Tools·2 comments

يظهر أداة جديدة تعتمد على تصفية 45 مليون رسالة وملاحظات، وكيف تتزايد الموضوعات مثل الذكاء الاصطناعي، والسياسات المطبقة في جاكوارتس، والتجارة الائتمانية في جميع أنحاء تاريخ HN.

hacker news trendsupstashredis searchdeveloper toolsdata visualizationhacker news

45 million posts and comments spanning 18 years, all searchable and plottable as a date-histogram: that's the scale of Hacker News Trends, a new search tool that turns HN's collective conversation into a time-series chart. Type in any topic, tool, or person and see the frequency of mentions month by month. Overlay multiple terms and watch their traction rise and fall like a financial chart - but for developer attention.

What 45 Million Comments Reveal About Developer Attention

The tool comes preloaded with popular comparisons that tell the story of HN's shifting obsessions. Open your browser, load up "openai vs anthropic" and you'll see OpenAI's repeated towers from 2023, then a sudden 2026 Anthropic surge pulling level. "docker vs kubernetes" shows Docker erupting in 2014-15, then Kubernetes inheriting the spotlight from 2016 as orchestration became the story. "tensorflow vs pytorch vs jax" captures the ML framework generations: TensorFlow launches the deep-learning gold rush in 2015-16, PyTorch overtakes research by 2019-21, and JAX becomes the cutting-edge favorite from 2021-23. Each curve is a living proxy for what the HN crowd actually cares about - filterable by term, author, or time range.

How the Tech Stack Makes Fast Time-Series Search Possible

Under the hood, every term search is a live date-histogram query against Upstash Redis Search. That's what makes the response snappy even across 45 million records. The creator open-sourced the code on GitHub, but the real engineering trick is the index design: mapping each mention to a timestamp and then aggregating on the fly. No precomputed trend data, no stale dashboards. Click a month or drag across a range to drill into the actual stories and comments behind the line. The chart updates instantly, and below it sits the raw source material - the posts and comments themselves, sorted by relevance, upvotes, or recency.

The Proxy for Developer Sentiment Without the Noise

HN comments are noisy, but the aggregate signal is real. The tool reveals how technologies rise and fall not on marketing hype but on the collective conversation of thousands of engineer-level readers. You can watch "webfp vs vite" show the bundler changing of the guard: Webpack owns the build step from 2015-20, then Vite arrives and overtakes it from 2022 on. Or see "mastodon vs bluesky" track the Twitter-alternative relay: Mastodon spikes with the 2022 acquisition exodus, then Bluesky overtakes it in 2024-25. Hacker News Trends gives you the raw time-series data to see which tools actually sustain interest and which burn out fast.

For anyone building developer tools, Hacker News Trends is the nearest thing to a real-time proxy for what the HN audience actually cares about - and that audience decides which tools survive.


Source: Show HN: I made Google Trends for Hacker News by indexing 18 years of comments
Domain: hackernewstrends.com

Read original source ->

External source stays available while the OJO article and comment thread stay local.

Comments load interactively on the live page.