AIHOT – Open‑Source AI‑Driven News Site Framework
AIHOT is an open‑source framework that collects news from multiple sources, filters and scores items with a language model, clusters related reports into events, ranks events by source diversity, and publishes daily briefings. 4,950 GitHub stars in 4 days since kkkkhazix/aihot was created (1296.1/day). 1 source acros
50Fact cited ·Analysis our interpretation ·Estimate forward-looking · [n] links to the source
6 claims drafted by openai/gpt-oss-20b were kept because each quote was found verbatim in its source; 1 unverifiable claim was discarded. Statements marked AI await human review.
What happened
- Fact AIHOT collects data from multiple sources and filters it with a language model before scoring each item twice.[1]AI
它每天从一批信源里收资料,用大模型先筛一遍、再独立打两次分,挑出真正值得看的
- Fact Reports about the same event are clustered into a single event and ranked by how many independent sources discuss it.[1]AI
把不同来源说的同一件事聚成一个事件,按有多少人在说排出热点
- Fact The repository includes all prompts, thresholds, and clustering logic, allowing users to customize by editing the industry/prompts folder.[1]AI
每一步的提示词都在 industry/prompts/,改标准不用改代码
- Fact The framework is implemented with Node.js 24, TypeScript, React Router, Fastify, PostgreSQL, pg-boss, Tailwind CSS, and Docker Compose.[1]AI
技术栈:Node.js 24 · TypeScript · React Router(服务端渲染)· Fastify · PostgreSQL · pg-boss · Tailwind CSS · Docker Compose
- Fact The GitHub repository kkkkhazix/aihot was created on 28 Sept 2026 and had 4,950 stars on 2 Oct 2026.[1]
- Fact Its description reads: “一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的,它就是你的行业热点站。”[1]
- Fact That is 4,950 stars in 4 days, an average of 1296.1 per day.[1]
Why it matters
- Analysis Clone the repository, replace the source list and thresholds in the industry/ folder, and deploy using Docker Compose; customize prompts and scoring logic as needed.AI
- Analysis Automatically detected from public activity data. Not yet reviewed by an analyst.
Should I care?
What changed?
- Fact AIHOT collects data from multiple sources and filters it with a language model before scoring each item twice.[1]AI
它每天从一批信源里收资料,用大模型先筛一遍、再独立打两次分,挑出真正值得看的
- Fact Reports about the same event are clustered into a single event and ranked by how many independent sources discuss it.[1]AI
把不同来源说的同一件事聚成一个事件,按有多少人在说排出热点
Who is affected?
- Analysis Software developers building AI‑driven news aggregation or briefing platforms.AI
What can developers do with it?
- Analysis Clone the repository, replace the source list and thresholds in the industry/ folder, and deploy using Docker Compose; customize prompts and scoring logic as needed.AI
Is it production-ready?
Insufficient evidence
Analysis Not assessed.
What would make it important?
Not yet assessed.
What could prevent adoption?
Not yet assessed.
Technical change
- Fact AIHOT collects data from multiple sources and filters it with a language model before scoring each item twice.[1]AI
它每天从一批信源里收资料,用大模型先筛一遍、再独立打两次分,挑出真正值得看的
- Fact Reports about the same event are clustered into a single event and ranked by how many independent sources discuss it.[1]AI
把不同来源说的同一件事聚成一个事件,按有多少人在说排出热点
- Fact The repository includes all prompts, thresholds, and clustering logic, allowing users to customize by editing the industry/prompts folder.[1]AI
每一步的提示词都在 industry/prompts/,改标准不用改代码
- Fact The framework is implemented with Node.js 24, TypeScript, React Router, Fastify, PostgreSQL, pg-boss, Tailwind CSS, and Docker Compose.[1]AI
技术栈:Node.js 24 · TypeScript · React Router(服务端渲染)· Fastify · PostgreSQL · pg-boss · Tailwind CSS · Docker Compose
Architecture
No architecture has been documented for this signal.
Developer impact
Developer implications have not been assessed yet.
Difficulty has not been estimated yet.
Adoption & momentum
No adoption indicators recorded.
Timeline
First seen by the Astrava pipeline[1]
Limitations & risks
- Fact The repository is a snapshot of the live AIHOT code and may not be fully polished or fully synchronized with future updates.[1]AI
它来自 AIHOT 正在线上跑的代码,不是精心打磨的通用框架
- Fact The repository does not include the official AIHOT source list or operational data; users must supply their own industry sources.[1]AI
里面没有 AIHOT 的信源名单和运营数据
- Analysis Generated from activity metrics only; verify the linked sources before acting on it.
Competing approaches
No competing approaches documented yet.
Who is building on it
No independent projects or organisations are documented as building on this yet.
Evidence & sources
Primary source (1)
Published by the people who built it: release notes, repositories, papers, official docs.
- [1]
Secondary source (0)
Independent reporting, third-party benchmarks, integrations by other projects.
None recorded.
Community signal (0)
Discussion threads and social posts. Evidence of attention, not of correctness.
None recorded.
How the score of 50 was calculated
| Factor | Share of maximum | Points |
|---|---|---|
| NoveltyRubric level 2/4 (Moderate). Heuristic (automated): first published 4 days ago. | 7.5/15 | |
| Technical significanceRubric level 3/4 (High). AI-assisted (openai/gpt-oss-20b), pending human review: The framework integrates data ingestion, duplicate detection, multi‑stage scoring, clustering, and ranking into a single pipeline, all configurable via prompts. Evidence: “它每天从一批信源里收资料,用大模型先筛一遍、再独立打两次分,挑出真正值得看的” | 11.3/15 | |
| Developer relevanceRubric level 3/4 (High). AI-assisted (openai/gpt-oss-20b), pending human review: Provides a ready‑to‑use, customizable pipeline for building domain‑specific AI news sites, reducing development effort. Evidence: “把信源换成你的,把精选标准换成你的 KnowHow,它就是你的行业热点站” | 11.3/15 | |
| Adoption velocityIndependent integrations: unknown (0 pts). GitHub stars: 1296.1 per day since creation; full marks at 1000/day, log-scaled (5/5). | 5/10 | |
| Community momentumFewer than three periods of activity data, or no baseline activity to compare against. | 0/10 | |
| Source credibilityPrimary source present; mean source-tier weight 1.00 (primary 1.0, secondary 0.7, community 0.35). | 10/10 | |
| Cross-source confirmationNo independent publisher has confirmed this yet. | 0/10 | |
| Evidence strengthMet 2/4: primary source ✓, runnable artifact (code, weights or package) ✓, reproducible or independent benchmark ?, technical documentation or paper ✗. 1 unknown (scored 0). | 5/10 | |
| Time to impactNo time-to-impact estimate yet. | 0/5 | |
| Hype penaltyNo hype indicators detected. | 0 | |
| Breakout Score | 50 |
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works