Nepal news intelligence Live

K cha khabar

Nepal news intelligence.

AI-clustered stories with bilingual summaries, ownership transparency across 35+ Nepali publishers, and trending topics. Headlines only — every item links back to the source.

  • News intelligence
  • AI clustering
  • Bilingual
  • Public good
K cha khabar preview
Publishers tracked
35+
Headlines indexed
6,550+
Languages
नेपाली · English
Embeddings
BGE-M3

The story

What it is and why we built it

K cha khabar (के छ खबर?, colloquial Nepali for "What's the news?") is a news intelligence layer for Nepal's fragmented press. It aggregates and clusters Nepali- and English-language headlines from 35+ publishers, then surfaces them as bilingual AI-generated story digests with full publisher attribution and ownership labels.

It's deliberately a headline-and-excerpt aggregator — never republishing full articles. Multilingual clustering uses BGE-M3 embeddings with a 0.78 cosine similarity threshold to detect when multiple outlets are covering the same story. Bilingual summaries are drafted independently per language so the Nepali version reads natively, not as a translation of the English one.

Every publisher carries an ownership label (state, private, independent, non-profit) so readers can weigh perspective. Built for the 1.5M+ strong Nepali diaspora, in-country readers wanting cross-publisher view, and researchers studying the Nepali media ecosystem.

What's inside

Features

  • 01

    AI story clustering

    BGE-M3 multilingual embeddings (1,024-dim, ≥0.78 cosine threshold) detect when 3+ outlets are covering the same story so you see one story, not ten copies.

  • 02

    Bilingual summaries, drafted independently

    Nepali and English summaries are written natively per language — not machine translations of each other — so the Nepali reads like Nepali.

  • 03

    Publisher ownership labels

    Every headline carries an ownership badge — state, private, independent, non-profit — so you can weigh perspective at a glance.

  • 04

    Cross-publisher echo detection

    Stories surface once they cross a breadth threshold so quiet single-source pieces don't drown out the wider conversation.

  • 05

    Named-entity awareness

    A curated registry of Nepali politicians, organisations, and places — including time-bounded role assignments like the current PM — keeps tagging accurate.

  • 06

    Headlines only — links go to source

    No republished articles, no ads, no comments section. Every item links back to the original publisher.

Who it's for

Built for

  • The 1.5M+ strong Nepali diaspora across Australia, US, UK, and the Gulf
  • Politically engaged in-country readers wanting a cross-publisher view
  • Journalists, academics, and NGOs studying the Nepali media ecosystem
  • Anyone who's tired of refreshing 12 news sites at once

How it's different

Differentiators

  • Independently-drafted bilingual summaries — not translations.
  • Publisher ownership labels are surfaced on every headline (rare in any market, unique for Nepal).
  • Multilingual clustering across Devanagari and Latin scripts, no transliteration required.
  • Deliberate headlines-only stance: links always go back to source.
  • Hosted outside Nepal as a stated press-freedom hedge.

Frequently asked

Common questions

Why "headlines only"?
Republishing full articles undermines the publishers we want readers to support. We surface, cluster, and summarise — but the click always goes back to source.
How do you decide what's a "story"?
Multilingual sentence embeddings group related coverage. When 3+ outlets cross a similarity threshold, it becomes a story. Single-source pieces stay in the per-publisher feed.
Are the summaries machine-translated?
No. The Nepali and English summaries are drafted independently from the source articles, so each reads natively in its language.
How do you handle ownership transparency?
We maintain a registry of publisher ownership types — state, private, independent, non-profit — and label every headline with its source's category.
Is it free?
Yes, free to use with no advertising, no comments, and no paywall. There's also a free email digest.

Pricing

Free · ad-free · no paywall

Stack

Next.js · BGE-M3 embeddings · Custom NER · RSS + sitemap ingestion · Multilingual clustering

Like the way we build kchakhabar? Let's build for you.

The same team and standards that built kchakhabar are available for your project. We'd love to chat.

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