hotin 0.2.0

An open-source CLI surfacing what's hot, fresh, and credible in AI from GitHub, Hacker News, npm, Reddit, and a public influencer-stars credibility signal, ranked by cross-source corroboration and freshness.

hotin — what's hot in AI, from your terminal

An open-source CLI for finding what's hot, fresh, and credible in AI.

hotin pulls together independent signals and ranks projects by cross-source consensus and freshness, so a tool gaining attention in more than one place has more weight than a one-source spike.

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

Once hotin is published to PyPI, the standard install will be:

pip install hotin

From a checkout during pre-release development:

pip install -e .

Or install the current repository with pipx:

pipx install git+https://github.com/abe238/hotinai

A prebuilt single-file hotin.pyz will be attached to GitHub Releases as a zero-install option for a fresh machine. Run it with:

python hotin.pyz

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 <query>	search cached repos
hotin show <owner/repo>	show one repo
hotin about	show project information

Flags: --format text\|json\|md\|html · --limit N (default 20) · --source <name> (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.

Keeping it fresh

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