Hotin

Name: Hotin
Author: abe238

by abe238version 0.9.21i★ –iRuns on your computer

Registry nameio.github.abe238/hotin

Install

Overview

Description from the maker (original English)

What's hot in AI right now, ranked with receipts from GitHub, HN, npm and Hugging Face.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: GITHUB_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GITHUB_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "hotin": {
      "command": "uvx",
      "args": [
        "hotin",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add hotin --env GITHUB_TOKEN=your-value -- uvx hotin mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "hotin": {
      "command": "uvx",
      "args": [
        "hotin",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "hotin": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hotin",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GITHUB_TOKEN secret env
Optional. Only the 'insiders' tab needs it, to poll what notable developers starred. Every other tab works with no key at all.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account abe238, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7251 servers in this category
Published to the registry more recently than 72% of the other 7251 servers in this category
Basic checks equal to or better than 100% of the other 7251 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Hotin safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GITHUB_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.9.21) reached the registry 15 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

hotin — the whole field, ranked. With receipts.

hotin.ai

One command, one ranked list of what's actually hot in AI today: trending repos, models, papers and news, ranked daily by cross-source consensus. Numbers are receipts, badges are verdicts. Want the same thing in a browser? The live hotin board is what's trending in AI today, updated daily.

Every row shows why it is there: how fast it is growing, who backed it, where else it surfaced. Nothing ranks on a single source's say-so.

It works two ways, from one install.

	you ask	your agent asks
	`hotin repos` in your terminal	`hotin mcp` inside Claude Code, Cursor, Codex or Gemini CLI
	you read the board	the agent reads the board mid-task, and cites it

Your model's training data has a cutoff and a web search returns marketing. Ask an agent what is worth using in AI this week and it guesses. Point it at hotin and it answers with the same ranked evidence you would have read yourself.

What it does

The zero-key core combines GitHub Trending, curated growth momentum, Hacker News, and npm velocity with no configuration. Add an optional key to unlock Reddit and YouTube (ScrapeCreators, or the official YouTube Data API v3), including curated repo-roundup channels. A “smart money” signal (repos the AI Insiders are backing) is included on a best-effort basis, and an AI-newsletter feed adds an editorial signal. Sources can be temporarily unavailable without taking down the CLI.

Beyond repos, hotin surfaces trending AI models (hotin models) and papers (hotin papers) as their own views, and a short daily `hotin brief` of what's happening across all of them. Run hotin refresh on a schedule and hotin records a time series, so the board can flag what's genuinely rising and viral (velocity, not just a snapshot) — not just what's big right now.

Install

pip install hotin

hotin has zero dependencies, so a plain pip install is safe (nothing to conflict with). Prefer an isolated install, or don't want to install at all?

uvx hotin              # run without installing (needs uv)

uv tool install hotin # persistent command via uv pipx install hotin # persistent command via pipx npx hotinai # from the npm ecosystem (launcher; runs uvx/pipx under the hood)

No package manager, just Python? Grab the single-file hotin.pyz from the latest release and run it:

python hotin.pyz

Developing on a checkout: pip install -e ..

Use it from your AI agent (MCP)

The same board, callable by Claude Code, Cursor, Codex CLI, Gemini CLI, or anything else that speaks MCP. Pick whichever line is least work for you.

One click. Download hotin.mcpb and open it. Claude Desktop shows an install dialog and that is the whole process: no config file to find, no JSON to edit, no terminal. The bundle is 136 KB and carries hotin inside it, so there is nothing to install first -- hotin has zero dependencies, which is what makes that possible. macOS and Linux.

One line. Nothing installed at all, uvx fetches it on demand:

claude mcp add hotin -- uvx hotin mcp

Any other client. Same idea, as config:

"mcpServers": { "hotin": { "command": "uvx", "args": ["hotin", "mcp"] } } }

Already ran pip install hotin? Then it is "command": "hotin", "args": ["mcp"] -- the MCP server ships inside the package, there is no second thing to install.

Then ask your agent things it otherwise cannot answer:

*"What AI repos are actually worth looking at this week?"*

*"Is anything notable happening with open-weight models right now?"*

*"Before we pick a library for this, what is trending and who is backing it?"*

Two tools are exposed. hotin_board returns any tab (repos, rising, insiders, models, papers, news) with the receipts attached, and hotin_brief returns the daily digest. Answers come back in about a second, served from the local cache.

It runs on your machine, not ours. Your MCP client starts hotin as a local child process. It fetches GitHub, Hacker News, npm and Hugging Face directly, caches to your own disk, and uses your own token if you set one. hotin.ai is never in the path: the site is a separate rendering of the same tool, not a service this depends on.

Set GITHUB_TOKEN if you want the insiders signal; everything else works without any key. A first call on a cold cache takes about 15 seconds while it fetches; after that answers are served locally in about a second.

Works with every install route: the bundle, uvx, pip, pipx, and the single-file hotin.pyz.

Claude Code skill

skills/hotin/SKILL.md teaches an agent *when* to reach for the board and, more usefully, how to read it: which fields are actual evidence, and what the board does not know. Copy it in:

mkdir -p ~/.claude/skills && cp -R skills/hotin ~/.claude/skills/

It works with or without the MCP server, and is worth having alongside it — the MCP tool descriptions say what the tools return, the skill says which numbers mean something and when a row is a lead rather than a finding.

Quick start

hotin

Available commands:

Command	Description
`hotin`	the flagship board (defaults to `repos`)
`hotin repos`	trending AI repos, fused across sources
`hotin insiders`	repos the AI Insiders are backing (the smart-money signal)
`hotin models`	AI models — lab press releases + trending weights
`hotin papers`	trending AI papers
`hotin news`	recent AI news headlines
`hotin brief`	a one-shot digest across every entity
`hotin refresh`	refresh all sources + record a snapshot (`--quiet` = headless)
`hotin export`	write the board to `docs/index.html` + `latest.json`
`hotin setup`	check config, or schedule automatic refreshes
`hotin search`	search cached repos
`hotin show`	show one repo
`hotin about`	show project information

Flags: --format text\|json\|md\|html · --limit N (default 20) · --source (repos: one upstream feed instead of the fused board) · --since 30d / --min-stars N (repos filters) · --verbose.

Each repo result presents a score, the owner/repo (clickable), category, and applicable badges: fresh (recently created or active), rising / viral (climbing fast on the recorded time series, viral being the rare accelerating-and-consensus extreme), smart-money (the AI Insiders are backing it), and paper-backed (linked from a trending paper). Consensus across sources is folded into the score itself, not shown as a badge.

Example (real output, top of a live run):

$ hotin --limit 8

30.59 xai-org/grok-build agents fresh Grok Build is open source 22.17 justvugg/colibri uncategorized Show HN: Getting GLM 5.2 running on my slow computer 17.05 dietrichgebert/ponytail app-building fresh 17.00 odysseus-dev/odysseus uncategorized fresh 16.93 nexu-io/open-design agents fresh 15.46 yuan1z0825/nature-skills uncategorized fresh 15.24 bigpizzav3/codexplusplus uncategorized fresh 14.77 antirez/ds4 inference fresh

The first line of each result is score, owner/repo (clickable in a real terminal), category, and badges; a dimmed second line shows the human title when it adds context the slug doesn't. fresh reflects recent repository activity. In a live terminal the score and badges are colored. Your output will differ — it reflects what is actually hot when you run it.

Why corroboration, not popularity

The board requires two independent signals. Here is the measurement behind that.

Ranking on "a well-known developer starred it" is the obvious design. It does not hold up. Measured across 288 tracked repos, growth as a percentage of a repo's own star count so size is not mistaken for heat:

backed by	repos	growth
no notable star at all	205	0.25 %/day
exactly one	62	0.19 %/day
two or more, independent	21	0.55 %/day

One star tracks slightly *worse* than no endorsement. Two or more tracks about 2x the baseline — though at n=21 that is p=0.087, suggestive rather than proven, and the board rests on the first result rather than the second.

So nothing reaches the board on one source's say-so. It needs corroboration from an independent signal, and it has to still be true a few hours later.

scripts/measure_insider_signal.py in the site repo re-runs this whenever you want to check the claim.

Keeping it fresh

“+N in 7d” counts stars gained in the trailing 7 complete UTC days from GitHub’s star-history endpoint. “/day” on the repos tab comes from hotin’s own observation store, seeded from the same endpoint so a first-seen repo has real velocity. A “cooling” badge marks a sharp drop after a previous week with at least 50 stars.

hotin's rising / viral badges and the hotin brief come from a recorded time series, so they get better the more often hotin refresh runs. hotin setup can install a scheduled job for you:

hotin setup                     # interactive: once a day (8am) or twice (8am & 8pm)

hotin setup --schedule twice # non-interactive: 8am & 8pm hotin setup --schedule daily # 8am only hotin setup --schedule off # remove it

On macOS/Linux this manages a marked block in your crontab; on Windows it creates hotin-refresh scheduled tasks. Either way it runs python -m hotin refresh --quiet, leaving the rest of your schedule untouched.

Data Sources & Terms

hotin's code is licensed under Apache-2.0. That license does not relicense the underlying data returned by GitHub, Hacker News, npm, Reddit, or YouTube: each source's own terms of use apply.

The Reddit and YouTube integrations are unofficial third-party integrations via ScrapeCreators; they are not officially sanctioned by Reddit or YouTube. The smart-money signal is a best-effort read of a public AI-influencer graph and may change or break without notice.

Contributing

Issues and contributions are welcome at the issue tracker.

License

Apache License 2.0 — see LICENSE and NOTICE.

hotin was created by Abe Diaz. If hotin, its ranking approach, or its ideas helped your project, a credit and link back to github.com/abe238/hotinai are appreciated.

*Made by @abe238 · hotin.ai*

Hotin

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

hotin — the whole field, ranked. With receipts.

What it does

Install

Use it from your AI agent (MCP)

Claude Code skill

Quick start

Why corroboration, not popularity

Keeping it fresh

Data Sources & Terms

Contributing

License