Nicheloom

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Search engine where users can adjust ranking boost factors

Details

External ID
48442875
Source
HN
Company
—
Product
Search engine where users can adjust ranking boost factors
Website domain
websearch.co.il
Launched
June 8, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.31420765027322406
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN,I’m working on an Israeli search engine with a focus on deeper search across Israeli, academic, and scientific content.One feature I recently added is that users can adjust their own search boost factors. For example, they can give more or less weight to title, domain, URL, language, document type, or page content.Search remains anonymous and ad-free.I’m interested in feedback from people who care about search, indexing, crawling, privacy, and ranking transparency:Would you find this kind of user-adjustable search ranking useful?https://websearch.co.il

Enrichment

Theme
git and repository workflow tools
Vertical
Horizontal
Function
Search & retrieval
Audience
B2C
AI stance
Not AI
Project type
Commercial product
Normalized one-liner
search engine with customizable ranking
Manually corrected
False

Could you build this?

Partial The search frontend and ranking slider UI are simple to vibe-code, but crawling the Israeli/academic web and running an inverted index with custom multi-factor scoring requires real search infrastructure.

What it would actually take: The system requires a distributed web crawler (e.g., Apache Nutch or custom Go/Rust crawlers) and an indexing engine like Elasticsearch, OpenSearch, or Tantivy with custom tokenizers for Hebrew morphology and academic citations. The tricky technical component is building a performant query pipeline that re-computes ranking scores on the fly based on dynamic per-user boost vectors without crippling query latency.

Discussion

2 comments analyzed.

Feature requests: Image search, Video and audio search, Dedicated news search

Competitors

Other products that read as similar to this one — 63 launches clear the similarity bar, closest 8 shown.

Attention rank: #34 of 64 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 213 days after the earliest competitor.

Other launches for this product