hn-ai-summarizer vs Skimlane

hn-ai-summarizer and Skimlane are both summarizers tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

hn-ai-summarizer

The tool runs on a schedule, pulls the top Hacker News stories, summarizes them with an AI model, and delivers a filtered, translated briefing to a Telegram channel or chat. It lives entirely on your own hardware via Docker, so no data leaves your infrastructure. That self-hosted constraint is the whole point — and also the ceiling. There is no hosted version, no web UI for non-technical users, and no notification channel beyond Telegram. If your team communicates in Slack or needs a browser-based dashboard, this does not cover that.

Skimlane

The core loop is automatic: land on a page, Skimlane fires your default recipe, and a structured result appears in the side panel before you finish reading the headline. Recipes define exactly which sections matter — bottom line, weak evidence, roadmap implications, whatever your workflow demands — and those recipes are exportable files you can share or reuse across machines. Everything stays in Chrome storage: no account, no backend, no telemetry. The vendor states support for Gemini Nano on-device, local Ollama models, and Groq's free cloud tier, so the tool works without spending anything or sending data to Skimlane. The ceiling appears fast: this is a single-page, one-shot processor — there is no cross-page synthesis, no persistent knowledge base, and no way to surface patterns across fifty articles you skimmed last month.

Attribute	hn-ai-summarizer	Skimlane
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	No
Platforms	Docker, self-hosted servers, Raspberry Pi, NAS	Chrome
Pros	Scheduled AI summarization of top Hacker News stories, so you read the signal without manually triaging the full front page each day. Keyword-based interest filtering — configured per-user — so stories outside your focus areas (say, anything not tagged AI or security) are excluded before the briefing is assembled. Translation support for non-English readers, which means you get the summary in your working language rather than having to run stories through a separate translation step. Fully self-hosted via Docker with an MIT license, so your reading preferences and API credentials never touch a third-party cloud service — the alternative being tools that log your queries on vendor infrastructure. Telegram delivery with scheduling, which means the briefing arrives at a time you set rather than requiring you to open a dashboard and remember to check it.	Recipe-based output structure means every page you read returns the same sections in the same order, so you stop mentally reformatting generic summaries before you can use them. Local-first storage with no Skimlane account or backend means your reading history, API keys, and saved skims never leave Chrome storage — which matters when the articles you are processing are competitively sensitive. On-device model support via Gemini Nano and local Ollama means the tool runs fully offline with no API spend, so the workflow does not break when you are on a plane or when a provider has an outage. Exportable recipe files mean a consistent reading structure can be shared across a team or imported on a new machine, so no one rebuilds the same prompt configuration from scratch. Follow-up chat against the processed page means you can interrogate the skim result without re-reading the source, which cuts the time between landing on a page and extracting the one thing you needed.
Cons	Telegram is the only supported notification channel. Teams or individuals whose async communication runs through Slack, Discord, or email cannot use this without modifying the source code — there is no plugin or webhook abstraction in the current codebase. There is no web UI. Configuration lives entirely in environment variables and the docker-compose file, which means every setting change requires SSH access and a container restart. Non-technical users or shared-team deployments stall at the setup stage. The tool has no REST API or output format beyond Telegram messages, so any team wanting to pipe summaries into a second system — a Notion database, a team wiki, a Slack bot — is writing custom glue code rather than using a supported integration. With three GitHub stars and zero forks at the time of scraping, community support is minimal. When the upstream Hacker News API or a chosen AI provider changes behavior, the maintainer is a single point of failure. Teams with production-critical digest pipelines move to more actively maintained alternatives at the first breaking change.	There is no cross-session synthesis: Skimlane processes one page at a time and saves results to Chrome storage, but there is no way to query or compare across saved skims. A researcher who needs to find the claim that appeared in three different articles last week has no mechanism for that — they open each saved skim manually. Teams with that need move to a dedicated tool with a persistent, searchable knowledge base. The extension is Chrome-only. No Firefox support, no Safari support, no standalone web app. Any team member on a non-Chromium browser cannot participate in a shared recipe workflow at all — and that is not a settings problem with a workaround. Recipe complexity has no branching or conditional logic: every page runs the same recipe top to bottom regardless of content type, length, or domain. A workflow that needs different section sets for, say, academic papers versus product announcements requires maintaining two separate recipes and manually switching between them before each page load. Teams that need dynamic, content-aware processing will find this ceiling quickly and move to a tool that supports conditional prompt paths.

Bottom line

hn-ai-summarizer and Skimlane are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between hn-ai-summarizer and Skimlane?

hn-ai-summarizer is Free and open source, while Skimlane is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is hn-ai-summarizer better than Skimlane?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.