Show HN: alltech.io, My Tech Discovery Project
I tried to build a discovery-focused tech aggregator, where incoming articles are auto-evaluated for mentioned topics and then those topics are used to expose the user to other relevant people & concepts.
It'll be in perpetual enhancement but would love to hear what you think, especially any suggestions for improvement. Thx -c
http://alltech.io
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[ 2.9 ms ] story [ 21.6 ms ] threadWhat are your plans with it?
* background threads continuously check source RSS/ATOM for new entries, respecting 304s (via TTL/ETAG/LASTMOD headers if provided); there's also a configurable throttle to limit the number of times any particular source will be checked, irrespective of anything else
* when new RSS/ATOM entries are found, the _full_ article from the host site is retrieved & parsed and evaluated for keywords to figure out what main topics the article's about; lots of feeds are partial, so being able to grab the full article content (w/out the header/comment/nav/footer cruft) is necessary for it to work
* then the full article is checked for a "suitable" (size/dimensions) image; if one's found, it's pulled down, resized/optimized, and stored locally for display alongside the entry when browsing the site
* then the (full article) text is added to the search index; again, w/partial feeds the full text is necessary to make search useful
* the "research" function leverages the YouTube, Wikipedia, Bing, Reddit, Slideshare (although I may be yanking this out soon; hella-slow responses sometimes), and Amazon APIs.
For display, the "grid" lists all entries in reverse chrono that had a suitable image. The "index" lists every entry.