Drop in a workflow. Customize. Ship.

Trigger by webhook with a company name; the workflow pulls that assignee's recent patent filings, summarizes their R&D focus areas.

Triggered by a webhook with a competitor name, it pulls the freshest G2 reviews and Reddit chatter on that rival plus market context from Perplexity.

Extracts and counts theme mentions across the tracked competitor set each quarter, appends the counts to BigQuery.

When a new earnings transcript is published for a watched competitor, compares its themes to last quarter's and posts a Slack alert only if a theme materially appears…

Parses the skills and tools named in competitor job descriptions, detects when a new technology starts appearing across multiple reqs.

Accepts a webhook with one or more competitor pricing URLs, scrapes them on demand, diffs against the stored baseline, and returns an inline strategic summary plus a Slack post.

Monitors a watchlist of competitors and detects when any of them is announced as a sponsor or speaker at an upcoming event.

On a webhook trigger, takes confirmed new terms, drafts polished glossary entries with examples via Perplexity.

Every Monday, monitors a tracked list of competitors across web and their changelog pages, summarizes what changed in the last week, and posts a ranked digest to Slack.

Crawls a set of competitor sites and blogs, extracts the distinctive terminology they use, and reports newly adopted words against last month's baseline in a Coda tracker.

Watches competitor job feeds for role titles that have never appeared before (e.g. first 'Head of AI' or 'GTM for Healthcare'), enriches the hiring company in Attio.

Scrapes a quarter of G2 reviews and Reddit threads about you and your competitors, clusters the recurring themes.

Accepts a webhook request naming a competitor app and version range, scrapes those reviews, classifies and loads them into BigQuery, runs the topic-shift comparison.

Triggered by a webhook with a model name, pulls its leaderboard standing and model card, researches the web, and returns a one-page deep-dive brief for evaluation decisions.

When a new term clears a momentum threshold, generates a positioning brief explaining whether and how your messaging should adopt or counter it, delivered to Coda.

Monthly, aggregates the term-level signals collected over the period into a category-narrative report — which framings are rising or fading — and emails a one-page exec brief.

Compares a competitor's newest earnings themes against their prior-quarter themes stored in Snowflake, and reports only the narrative shifts — newly emphasized, dropped…

Trigger a research run for any topic or niche on demand; Perplexity and Apify gather pain points across forums, then each distinct problem lands as a structured.

Triggered with a competitor's name and domain, gathers signals from web search and the live site, then writes a structured teardown brief into Notion covering positioning…

Polls the HuggingFace leaderboard on a schedule and, the moment a model breaks into the top ranks for the first time, enriches it with web context and pings the team instantly.

When a vendored model's license becomes restrictive, searches for comparable permissively-licensed alternatives on HuggingFace and the web.

Triggered by a webhook with a repo name, an agent gathers GitHub stats, web reputation, and historical velocity from BigQuery.

On demand, researches a set of named competitors across the same criteria, normalizes the findings into a side-by-side feature and pricing matrix.

Weekly, scans Brave for companies newly entering a category, scrapes each one's site with Firecrawl to build a profile, drafts a one-pager in Coda.

Each quarter, an agent autonomously researches the full competitive set, gathers and cross-checks evidence from multiple sources.

Every week aggregates all detected rule changes from the change log, ranks them by materiality and affected business lines.

Receives competitor-mention signals via webhook, classifies whether each is a pricing, feature, or positioning change, and files a triaged Linear issue routed to the right team.

Compares a competitor's new earnings transcript against last quarter's stored signals and posts a Slack alert only when a material strategy shift is detected.

Watches your earnings calendar and, two trading days before each tracked company reports, compiles consensus estimates, last quarter's guidance.

Searches the web weekly for competitor product announcements and changelog updates, summarizes each new feature, and logs it to a Notion competitive database with source links.

Watches a portfolio of rule pages across multiple agencies, detects which ones changed since last run, diffs only the movers.

Scores each incoming competitor patent against your active roadmap and, when a filing directly threatens a planned feature, opens a triaged Linear issue and pings the product lead.

Daily watch that scores new filings against your product roadmap themes and, when a filing scores high, opens a Linear issue for product to assess and posts the link in Slack.

Crawls a watchlist of competitor career pages daily, flags sudden spikes or drops in open roles by department, and posts a ranked strategy-shift digest to Slack.

Every Monday, snapshots the top open-model leaderboard, diffs it against last week's ranking, and posts a Slack digest of new entrants, climbers, and droppers.

Scrapes a watched SEC rule-draft page on a schedule, diffs the new text against the last captured version.

Scrapes fresh App Store and Google Play reviews on a schedule, uses an LLM to extract and cluster feature requests by theme.

Every Friday, rolls up the week's research cards into a ranked competitive digest, publishes it as a Notion page, and emails the summary to stakeholders.

Runs daily, detects when a complaint theme in competitor app reviews spikes above its baseline, and posts an alert with example quotes to a product Slack channel.

When a tracked competitor posts a new earnings-call transcript, summarizes the top three strategic themes and any guidance changes.

Receives a webhook when a filing platform publishes a new draft version, scrapes both the new and prior versions.

When a webhook signals a watched competitor has posted a new earnings transcript, it scrapes the call, pulls the guidance changes and surprise quotes.

When a transcript URL is dropped via webhook, scrapes it, extracts the top strategic statements with exact quotes, and posts a threaded digest to a Slack channel.

Aggregates competitors' job-posting locations on a schedule and updates a geographic expansion table, surfacing new cities and regions where rivals are building presence.

Scrapes a watchlist of competitors' careers pages every week, classifies each open role into a strategic theme.

After a competitor's earnings call transcript posts, scrape it, score management tone and forward-looking statements.

Detects when a watched account posts a high-signal new role (VP, Head of, or a named technology) and pushes a real-time alert to the deal team's Slack channel with the role…

When a webhook reports a new competitor transcript URL, scans it for strategy pivots and high-priority keywords, and posts an alert to Slack only when a material shift is detected.

Polls 1- and 2-star app reviews daily, classifies each by churn driver (bugs, pricing, missing features, performance), and logs every one to an Airtable base with a weekly trend…

Scrapes target competitors' job boards every week, classifies new roles by function and seniority, and posts a Slack digest flagging where each rival is investing headcount.

Monitors named competitors on Brave Search for shifts in how they describe their category.

Weekly, it mines Reddit for threads where users praise a competitor or wish your product did something, extracts concrete feature gaps.

On a schedule, an agent sweeps the web for competitor moves and drops a ranked digest into Slack.

Once a month, rolls up every tracked competitor's snapshots into a single landscape report covering pricing trends, packaging shifts, and feature-gating moves across the whole…

On a schedule, scrapes the latest competitor app-store reviews, loads them into BigQuery.

Every Monday, crawls a tracked list of competitor pricing pages, compares each against last week's snapshot, and posts a Slack digest summarizing what changed and why it matters.

After each competitor's earnings call, scrapes the transcript, extracts forward guidance, compares it against last quarter's stored guidance.

Captures structured competitor pricing data every day and appends it to a BigQuery table, building a time-series history for trend analysis and dashboards.

Weekly, it scrapes G2 and Reddit for you and your competitors, scores each snippet on sentiment and theme with OpenAI.

Receives a webhook the instant a monitored competitor publishes a new job, scores it for strategic relevance, files every posting in Airtable.