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mosuka
phalanx
Go2021–2022
mosuka / phalanx

phalanx

Phalanx is a cloud-native distributed search engine that provides endpoints through gRPC and traditional RESTful API.

Systems & InfrastructureDevOps & CloudNetworkingSearch & Information Retrieval
Explore on GitHubRead Hacker News discussions
5Distinct people
8Mentions
0Explicit recommenders
376GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Phalanx is a cloud-native distributed search engine that provides endpoints through gRPC and traditional RESTful API.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month8 dated mentions

Observed mentions: 2021-12-11 00:54:04 UTC to 2022-10-24 22:42:22 UTC.

0122021-12-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsDec 20212022-01-01 00:00:00 UTC to 2022-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 20222022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsOct 2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Dec 20212021-12-01 00:00:00 UTC2022-01-01 00:00:00 UTC110
Jan 20222022-01-01 00:00:00 UTC2022-02-01 00:00:00 UTC110
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC000
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC000
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC000
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC000
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC202
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC101
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC110
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC202

What Hacker News says

8 sources
hardwaresofton·Oct 24, 2022
Oh! Damn it I forgot about manticore -- I had seen it before but forgot to include it. Eventually all of these projects will be highlighted on Awesome F/OSS (https://awsmfoss.com), but for now I'm just going to dump my bookmarks here for other people, since I'm leaving awesome projects out: Search Engines AWS OpenSearch https://github.com/opensearch-project/OpenSearch https://github.com/opensearch-project/OpenSearch-Dashboards https://github.com/opensearch-project/perftop https://github.com/go-ego/riot https://groonga.org/ https://github.com/groonga/groonga https://github.com/meilisearch/MeiliSearch https://github.com/mosuka/bayard https://github.com/nezaboodka/nevod https://github.com/searx/searx https://github.com/stryku/okon https://github.com/toshi-search/Toshi https://github.com/typesense/typesense https://github.com/valeriansaliou/s
Read the rest
onic Algolia https://github.com/marconi1992/algolite https://quickwit.io/ https://github.com/quickwit-inc/quickwit https://docs.meilisearch.com/ https://github.com/prabhatsharma/zinc phalanx https://github.com/blugelabs/bluge https://github.com/mosuka/phalanx https://github.com/mosuka/blast ManticoreSearch https://github.com/manticoresoftware/manticoresearch https://github.com/manticoresoftware/docker https://manticoresearch.com/blog/manticore-alternative-to-el... https://manticoresearch.com/ https://manual.manticoresearch.com/Introduction https://forum.manticoresearch.com/t/manticore-search-cheatsh... https://forum.manticoresearch.com/ Whoosh https://whoosh.readthedocs.io/en/latest/ https://pypi.org/project/Whoosh/ lyra https://github.com/nearform/lyra https://nearform.github.io/lyra/ https://github.com/LyraSearch/lyra https://lyrasearch.io/ flexsearch https://github.com/nextapps-de/flexsearch#performance-benchm... https://pagefind.app/docs/ Lucene https://github.com/apache/lucene https://lucene.apache.org/ ZincSearch https://zincsearch.com/ Solr https://solr.apache.org/ https://solr.apache.org/operator/ https://solr.apache.org/guide/solr/latest/getting-started/so... https://github.com/apache/solr https://solr.apache.org/guide/solr/latest/deployment-guide/s... Konnu https://gitlab.com/shadowislord/konnu Quickwit QuickWit + Clickhouse https://clickhouse.com/docs/en/guides/developer/full-text-se... https://clickhouse.com/docs/en/sql-reference/functions/strin... There is no way I can get to running all of these (this project was supposed to be quick!!), but I will run the ones I noted earlier, and probably manticore too since it was high on my list since it's quite polished looking.
In Sonic: Fast, lightweight and schema-less search backend
Xeoncross·Aug 25, 2022
I've never worked on a project that encompasses as many computer science algorithms as a search engine. There are a lot of topics you can lookup in "Information Storage and Retrieval": - Tries (patricia, radix, etc...) - Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..) - Consensus (raft, paxos, etc..) - Block storage (disk block size optimizations, mmap files, delta storage, etc..) - Probabilistic filters (hyperloloog, bloom filters, etc...) - Binary Search (sstables, sorted inverted indexes, roaring bitmaps) - Ranking (pagerank, tf/idf, bm25, etc...) - NLP (stemming, POS tagging, subject identification, sentiment analysis etc...) - HTML (document parsing/lexing) - Images (exif extraction, removal, resizing / proxying, etc...) - Queues (SQS, NATS, Apollo, etc...) - Clustering (k-means, density, hierarchical, gaussi
Read the rest
an distributions, etc...) - Rate limiting (leaky bucket, windowed, etc...) - Compression - Applied linear algebra - Text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting) - etc... I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech. If you are comfortable with Go or Rust you should look at the latest projects in this space: - https://github.com/quickwit-oss/tantivy - https://github.com/valeriansaliou/sonic - https://github.com/mosuka/phalanx - https://github.com/meilisearch/MeiliSearch - https://github.com/blevesearch/bleve - https://github.com/thomasjungblut/go-sstables A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. The problem is that search with good rankings often requires custom storage so calculations can be sharded among multiple nodes and you can do layered ranking without passing huge blobs of results between systems. Source: I'm currently working on the third version of my search engine and I've been studying this for 10 years.
In Ask HN: I want to dive into how to make search engines
Xeoncross·Jul 23, 2022
There isn't a one-size-fits all approach, but I've never worked on a project that encompasses as many computer science algorithms as a search engine. - Tries (patricia, radix, etc...) - Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..) - Consensus (raft, paxos, etc..) - Block storage (disk block size optimizations, mmap files, delta storage, etc..) - Probabilistic filters (hyperloloog, bloom filters, etc...) - Binary Search (sstables, sorted inverted indexes) - Ranking (pagerank, tf/idf, bm25, etc...) - NLP (stemming, POS tagging, subject identification, etc...) - HTML (document parsing/lexing) - Images (exif extraction, removal, resizing / proxying, etc...) - Queues (SQS, NATS, Apollo, etc...) - Clustering (k-means, density, hierarchical, gaussian distributions, etc...) - Rate limiting (leaky bucket, windowed, etc.
Read the rest
..) - text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting) - etc... I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech. - https://github.com/quickwit-oss/tantivy - https://github.com/valeriansaliou/sonic - https://github.com/mosuka/phalanx - https://github.com/meilisearch/MeiliSearch - https://github.com/blevesearch/bleve - https://github.com/thomasjungblut/go-sstables A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. That might work for something small like a curated collection of a few hundred sites.
In Writing your own search engine is hard (2004)
Xeoncross·Jul 19, 2022
Is there a tool that automatically forwards every URL + HTML of the page you visit to a webhook so you could write an endpoint that would index everything? If not, I would love to see this add a "forward to webhook" option. I would be happy to write up a real backend that parsed the content and indexed it. Actually, there are lots of OS projects for this: https://github.com/quickwit-oss/tantivy, https://github.com/valeriansaliou/sonic, https://github.com/mosuka/phalanx, https://github.com/meilisearch/MeiliSearch, etc... I would think that with the thousands (tens of thousands?) of pages I would index just browsing each year it would be relativity easy to find ways to automatically expand the index to include links that appear multiple times in those pages or some other heuristic
In Show HN: I built a self hosted recommendation feed to escape Google's algorithm

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