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What is klusty8?

karthikprasad/klusty8 — explained in plain English

Analysis updated 2026-07-04 · repo last pushed 2012-11-16

PythonAudience · pm founderComplexity · 3/5DormantSetup · moderate

In one sentence

Klusty8 takes the top 50 Bing search results and groups them into eight themed clusters so you can quickly see the main topics within a query instead of scrolling through a flat list of links.

Mindmap

mindmap
  root((repo))
    What it does
      Fetches 50 Bing results
      Groups into 8 clusters
      Labels each cluster
    Tech stack
      Python
      Bing search API
      Google App Engine
    Use cases
      Market research
      Exploring new topics
      Organized search browsing
    Audience
      Founders
      PMs
      Curious learners
    How it works
      Text similarity clustering
      Random starting points
      Proof of concept
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What do people build with it?

USE CASE 1

Skim eight cluster titles from a broad search to quickly find the angle you care about.

USE CASE 2

Do market research by seeing how search results for a topic split into news, tutorials, products, and forums.

USE CASE 3

Explore a new space by jumping straight to the relevant cluster instead of scrolling through unrelated links.

What is it built with?

PythonBing Search APIGoogle App Engine

How does it compare?

karthikprasad/klusty80xhassaan/nn-from-scratcha-little-hoof/dsr
Stars00
LanguagePythonPythonPython
Last pushed2012-11-16
MaintenanceDormant
Setup difficultymoderatemoderatehard
Complexity3/54/55/5
Audiencepm founderdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a Bing search API key and deployment on Google App Engine to run end-to-end.

So what is it?

Klusty8 is a search tool that tries to make search results easier to digest by grouping them into eight logical categories instead of showing one long flat list. When you search for something on a typical search engine, you get dozens of links with no organization. This project takes the top 50 results from Bing and sorts them into eight themed clusters so you can quickly narrow in on the angle you care about. Under the hood, it fetches those 50 results, then groups them using a clustering algorithm that measures how similar pages are to one another. Rather than working with numeric data, it compares the words and content of each result and puts similar pages together. The title of each cluster comes from whichever result ends up at the "center" of that group. Because the starting points are chosen randomly, the same search may produce slightly different groupings each time you run it. This would be useful for anyone who feels overwhelmed by unorganized search results and wants a quicker sense of the main topics within a query. For example, if you search a broad term, you might get clusters that separate news articles, tutorials, product pages, and discussion forums into their own buckets. A founder doing market research or a PM exploring a new space could skim the eight cluster titles and jump straight to the relevant group instead of scrolling through unrelated links. The project was built as a learning exercise, pulling together web algorithms, front-end interactivity, and cloud deployment on Google App Engine. The creator notes that the clustering implementation is a simplified version, so it's more of a proof of concept than a production search product.

Copy-paste prompts

Prompt 1
Search for 'electric vehicles' using Klusty8 and show me the eight cluster titles so I can pick which group to read first.
Prompt 2
Run a Klusty8 search for 'no-code platforms' and tell me which clusters look like tutorials vs product pages so I can focus on the ones relevant to my market research.
Prompt 3
I feel overwhelmed by unorganized Bing results for 'startup legal basics', use Klusty8 to group them into eight clusters and summarize what each cluster is about.

Frequently asked questions

What is klusty8?

Klusty8 takes the top 50 Bing search results and groups them into eight themed clusters so you can quickly see the main topics within a query instead of scrolling through a flat list of links.

What language is klusty8 written in?

Mainly Python. The stack also includes Python, Bing Search API, Google App Engine.

Is klusty8 actively maintained?

Dormant — no commits in 2+ years (last push 2012-11-16).

How hard is klusty8 to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is klusty8 for?

Mainly pm founder.

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