r/SaaS
"We cut churn 40% by killing the free trial. Here is the 90-day data."
247 upvotes engagements
Whet watches the feeds, threads, blogs and channels you pick, runs them through an LLM that scores and summarizes what moved, and lands the signal in front of you before you log in.
For creators, founders, researchers and operators who live by what they publish.
free tier · 2 sources · 100 analyses / month
What it does
Whet keeps an eye on the public conversations that matter to you. Feeds, threads, blogs, channels you pick. Signals you'd miss otherwise land in your inbox, decoded into what actually moved.
Every new item runs through an LLM that scores it against your interests, summarizes the substance, and flags the ones worth your time. You read the digest, not the firehose.
Pipe the signal into a draft, export clean markdown, post to your CMS, or fire a webhook. Whet does not lock you in. Every artifact is portable, every action is auditable.
Sources it understands
Each source is backed by an official public API or an open protocol. Whet runs the schedule, manages the rate limits, and ingests on your behalf. No keys to manage for the free tier.
Watch the threads your niche actually argues in. Pull posts, comments and scores from any subreddit, with the rate-limit headroom the official API allows.
Reddit API · OAuth · official
Track channels, titles, descriptions, comments. Full transcript ingestion when captions are available. Quota-aware, schedule-respecting, no surprises.
YouTube Data API · official
Catch the stories tech reads at 7am. Front page, new, jobs, ASKs and the comment threads underneath. Zero auth needed; it's the official public mirror.
Algolia HN API · public
Drop any RSS / Atom feed and Whet ingests it on your schedule. Blogs, newsletters, podcast notes, changelogs, GitHub releases. Anything that publishes.
Open protocol · any feed
Paste a URL and Whet pulls a clean markdown extract. Use it for one-off captures or schedule a recurring diff so you know when a competitor's page changes.
Any HTTPS URL
Built for agents, not just people
On the desktop tier, Whet ships a CLI and an MCP server next to the workbench. Same contract, same auth, same data. Hand the keys to your team, your scripts, or your agent.
pnpm install -g @whet/cli
$ whet pipelines new \
--source webpage \
--url https://example.com/article \
--kind prose \
--tone analytical Streamable HTTP · stateless · bearer auth
{
"mcpServers": {
"whet": {
"url": "http://localhost:7891/mcp",
"transport": "streamable-http",
"headers": {
"Authorization": "Bearer sk_…"
}
}
}
} What the workbench actually runs
Same workbench, different jobs. A pipeline can decode one post, aggregate a niche, summarize a URL, or cross-reference a handful of sources into a single draft.
avg engagement per post
brief generated
hook distribution
tone mix
Scaling Without Hiring: The 4 Systems We Built
Sample data. Yours fills with the sources, posts and drafts the moment you log in.
Console
Sessions, sources, variants and exports. Exactly the view that lands when you log in.
Sample data. Yours fills with your sessions, sources and exports the moment you log in.
Two ways to start
Both tiers run on Whet's managed infrastructure. We cover the LLM cost on every web tier so you can focus on the signal, not on configuring API keys. Power users scale to the Desktop add-on when they outgrow the cap.
$0 forever
Try the daily skim on us. No card, no keys to configure.
$9 / month
For the daily user. Enough capacity to monitor a real workflow.
Need more capacity, the desktop app with BYOK, or team collaboration? See all plans
How it works
Drop your email, confirm, you're in. Free tier opens with two source slots and a hundred analyses for the month. No keys to configure, no CLI to install.
Wire a subreddit, a YouTube channel, a Hacker News query, an RSS feed, or a public URL. Whet handles auth, rate limits and scheduling against the source's official API.
Overnight, Whet ingests new items, runs each through the LLM, scores them against your topic, and assembles the digest. By morning, you scan the signal in minutes.
Pipe a thread into a draft, export markdown, post to your CMS, or fire a webhook downstream. Outgrow the cap? Upgrade to Basic for five sources and a thousand analyses, or scale to Desktop with your own keys.
Common questions
A research workbench that runs in your browser. You wire the sources you care about (Reddit, YouTube, Hacker News, RSS, any public URL), Whet pulls new items on a schedule, runs each through an LLM that scores and summarizes what moved, and lands the signal in front of you. From there you can draft, export, or fire a webhook downstream.
The web app runs in your browser, against our managed backend. That is the default and where every free signup starts. The Desktop tier (coming on Pro and above) ships a local binary with the same workbench plus capabilities only desktop can offer: local filesystem, MCP server, and the option to bring your own LLM key or agent CLI.
On Free, Basic and Pro web, we do. Whet runs every analysis on our managed Gemini Flash-Lite infrastructure so you can start without configuring anything. On the Desktop tier (Pro and above), you can optionally bring your own key (Gemini / Claude / OpenAI) or your own agent CLI (Claude Code, Cursor, Codex). That removes the analysis cap entirely because we are no longer carrying the cost.
Five sources, all backed by an official public API or open protocol: Reddit, YouTube, Hacker News, RSS / Atom feeds, and any public web URL. Plus your own content via direct upload (BYO). Free supports two sources active at once; Basic five; Pro fifteen.
Free covers two active sources and 100 LLM analyses per month, enough to try the daily skim on a real workflow without paying. Basic ($9/mo) raises that to five sources and 1,000 analyses, adds email alerts on matches, a commercial-use license, and priority signal scoring. Both run on our managed infrastructure with no keys to configure.
Whet tells you in-app when you cross 80 percent. New items keep ingesting (raw items never count), but LLM analyses pause until the cycle resets. You can wait, pause a source, or upgrade. The next tier always covers at least 10x the previous cap so you do not bounce off the wall.
No. Free is licensed for personal and developer use only. The moment you use Whet to produce content for a business (yours or a client's), you need Basic or above, which include a commercial-use license.
On the web tiers, we process your sources and the LLM responses on our managed infrastructure because that is how the analysis runs. We do not sell, share or aggregate your data across customers. On the Desktop tier with BYOK or BYOA, the LLM work happens on your machine using your keys, so we never see those payloads at all.
Yes. Every artifact exports as portable markdown with front-matter metadata, downloadable per item. Pro adds native exports to Notion, Linear, Cal and webhook deliveries you can wire into any downstream tool.
Because the daily skim should not require installing a binary, configuring API keys, or learning a CLI. Web first means anyone can be running their first daily digest in 5 minutes. Desktop comes later, on the Pro tier, for power users who want to bring their own LLM key or agent CLI and lift the cap. Both surfaces share the same backend and your data syncs across.
Pro, Team, or custom
Free, Basic and Pro cover most of what creators, researchers and small studios need. For teams (coming once we have Pro tracción), custom integrations, or a sit-down before you commit, drop us a line. We answer everything from one inbox.
What happens next
We acknowledge every inquiry within one working day, even if it's a 'not the right fit'.
We map your use case: Pro evaluation, Team interest, custom integration, or anything else. You leave with a clear quote, no surprises.
For Team and custom, we send a scoped SOW with timeline and pricing. For Pro evaluations, we get you onboarded inside the next release cycle.