Skip to content

Pick what you watch. Whet does the rest. Your sources, analyzed daily.

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

Three beats. No fluff.

  1. Watch your niche

    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.

  2. Get the signal, skip the noise

    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.

  3. Ship where you already work

    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

Five places where your niche lives.

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.

  • Reddit

    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

  • YouTube

    Track channels, titles, descriptions, comments. Full transcript ingestion when captions are available. Quota-aware, schedule-respecting, no surprises.

    YouTube Data API · official

  • Hacker News

    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

  • RSS

    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

  • Public web

    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

Every action your team takes,
an agent can take too.

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.

CLI

pnpm install -g @whet/cli

~/projects · zsh
$ whet pipelines new \
    --source webpage \
    --url https://example.com/article \
    --kind prose \
    --tone analytical
  • Same auth as the web workbench
  • Typesafe, generated from the OpenAPI spec
  • Ink-based UI for interactive flows
CLI reference

MCP server

Streamable HTTP · stateless · bearer auth

  • Local server bound to your machine
  • Bearer tokens scopable per tool
  • Compatible with Claude Desktop, Cursor, Codex, Cline
~/.config/claude_desktop_config.json JSON
{
  "mcpServers": {
    "whet": {
      "url": "http://localhost:7891/mcp",
      "transport": "streamable-http",
      "headers": {
        "Authorization": "Bearer sk_…"
      }
    }
  }
}
MCP reference

What the workbench actually runs

Four pipelines. Four shapes of work.

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.

whet › pipeline · competitor-decode
track u/growth_dr · r/SaaS · 30 days
  • 47 posts
  • 312 comments
  • 6.2k avg upvotes
  • 28% engagement rate
analyze engagement signals · last 14 days

avg engagement per post

14d ago today

format mix

  • Long-form posts 54%
  • Question threads 31%
  • Comment depth 15%
playbook three insights you can act on
  • Long-form posts drive 2.4× the engagement of question threads.
  • Posts with dollar amounts cross 3× the comments of generic claims.
  • Numbered openers outperform contrarian ones by 1.4×.

brief generated art_brief_8x2q · ready in workbench

ingest 6 handles · last 7 days
niche indie saas · posts 247 refreshed 2m ago
aggregate top hooks & tones

hook distribution

  • numbered-list + stake 42%
  • contrarian opener 28%
  • story-arc 18%
  • reveal + cliffhanger 12%

tone mix

  • confessional 38%
  • operational 31%
  • contrarian 24%
  • narrative 7%
surface leaders & insights
handle engagement drafts
u/growth_dr 92% 5 ready
u/solo_op 84% 3 ready
u/bootstrap_fi 71% 2 ready
  • Numbered hooks beat contrarian by 1.4x median engagement.
  • Confessional tone correlates with replies, not likes.
source fetched + cleaned
blog.example.com/scaling-without-team 200 · ok

Scaling Without Hiring: The 4 Systems We Built

J. Davis · 9 min read
digest claims extracted
  1. [1] Async-first comms saved 12 hours/week per team lead. high
  2. [2] Doc-first culture replaced 4 of 6 weekly sync meetings. high
  3. [3] Outcome-based PRs cut review cycles in half. med
draft prose · cited
sources three inputs · mixed types
  • 01 post u/niche_pulse · pricing post 7 pricing mistakes · $40k churn
  • 02 post u/build_log · 4 decisions bootstrap to $2M · 3 people
  • 03 url blog.example.com/pricing-anatomy Public pricing page case study
synthesize cross-source insights
  • Founder-led pricing wins below $1M ARR; tiered + public takes over at scale.
  • Public pricing pages cost trial conversions short-term, compound word-of-mouth long-term.
  • The pricing model isn't the lever. The growth curve is.
combined one post · three sources

Sample data. Yours fills with the sources, posts and drafts the moment you log in.

Console

Your workspace, on a single canvas.

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

Free, or $9 a month. Pick your speed.

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.

  • Whet Web · Free

    $0 forever

    Try the daily skim on us. No card, no keys to configure.

    • 2 active sources
    • 100 LLM analyses / month
    • Unlimited RSS items and BYO content
    • Daily schedule
    • Markdown export

    For personal use. Commercial use requires Basic or above.

    Start free
  • Whet Web · Basic

    $9 / month

    For the daily user. Enough capacity to monitor a real workflow.

    • 5 active sources
    • 1,000 LLM analyses / month
    • Email alerts on matches
    • Commercial use license
    • Priority signal scoring
    • All export formats

Need more capacity, the desktop app with BYOK, or team collaboration? See all plans

How it works

From signup to first digest, in minutes.

  1. Sign up 30 seconds, no card

    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.

  2. Add a source 1 minute, pick what you watch

    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.

  3. Let it run a day Whet does the daily pass

    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.

  4. Ship from the signal Draft, export, publish

    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

The things people usually ask first.

  • 01 What is Whet, exactly?

    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.

  • 02 Where does Whet run? In my browser or on my machine?

    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.

  • 03 Who pays for the LLM? Do I need an API key?

    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.

  • 04 What sources does it support out of the box?

    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.

  • 05 What is the difference between Free and Basic?

    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.

  • 06 What happens if I hit the cap?

    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.

  • 07 Can I use Whet for commercial work on Free?

    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.

  • 08 What about my data? Do you ever see it?

    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.

  • 09 Can I export drafts to Notion, Linear, my CMS?

    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.

  • 10 Why a web app first, and not just the desktop binary?

    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

Got a use case that doesn't fit the grid?

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

  1. 01

    Reply within 24h

    We acknowledge every inquiry within one working day, even if it's a 'not the right fit'.

  2. 02

    Short intro call

    We map your use case: Pro evaluation, Team interest, custom integration, or anything else. You leave with a clear quote, no surprises.

  3. 03

    Statement of work

    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.