Task Dashboard

Login to LinkedIn using ${LINKEDIN_CREDENTIALS}, scrape all companies that posted "Series A" announcements in the last 30 days, then login to Crunchbase using ${CRUNCHBASE_CREDENTIALS} to get their funding history, finally update our Google Sheet "${SHEET_ID}" with this data and send a Slack notification to #investments channel.

Monitor Twitter accounts [@account1, @account2, @account3] for posts containing "${KEYWORD}", when found: check their website's DNS records, capture their tech stack using BuiltWith API, and add all findings to row 'Competitors' in Google Sheet ${TRACKING_SHEET_ID}. Repeat every 6 hours.

Login to ${CLIENT_PORTAL}, extract all customer support tickets from last week, analyze sentiment using OpenAI API, then login to our team's Notion using ${NOTION_CREDENTIALS} to create a new page with the analysis and tag relevant team members. Finally, schedule a summary email to ${MANAGER_EMAIL}.

Login to our Salesforce using ${SF_CREDENTIALS}, export all leads that went cold in Q1, cross-reference with their recent LinkedIn activity, if they've changed jobs: update their contact info, create new opportunity, and add a row to our Google Sheet "${PIPELINE_SHEET}" with reconnection strategy.

Monitor ${COMPETITOR_URLS} for JavaScript changes every 12 hours, if detected: capture screenshot, archive the page to Wayback Machine, diff the JS changes, then create a new Jira ticket using ${JIRA_CREDENTIALS} and update our feature comparison sheet ${SHEET_ID}.

Login to GitHub using ${GITHUB_CREDENTIALS}, find all repos starred by ${TARGET_USERS}, analyze their dependencies using package.json, create a technology trend report in Notion, then login to Hunter.io to find maintainers' emails and add them to our Mailchimp campaign "${CAMPAIGN_NAME}".

Login to AWS Console using ${AWS_CREDENTIALS}, extract last month's billing by service, login to GCP and Azure to get the same, compile comparison into Google Sheet "${CLOUD_COSTS}", then create a Looker dashboard and share with ${FINANCE_TEAM_EMAIL}.

Monitor job boards [LinkedIn, Indeed, AngelList] for postings containing "${COMPETITOR_NAMES}", when found: analyze salary ranges, required skills, and location data, then update our Google Sheet "${MARKET_INTEL_SHEET}" and trigger a Discord webhook if any salary exceeds our bands.

Login to ${SAAS_PLATFORM}, export all users who haven't logged in for 30 days, check their company LinkedIn pages for layoff announcements, if found: update their status in our CRM using ${CRM_CREDENTIALS} and add to our "At Risk Accounts" Asana project.

Login to ProductHunt, track all new products in "${CATEGORY}", analyze their landing pages for pricing strategies, capture their GTM tactics from social media, then create a competitive analysis report in Notion and update our pricing strategy sheet ${STRATEGY_SHEET_ID}. Alert on Slack if any direct competitor launches.

Login to LinkedIn using ${LINKEDIN_CREDENTIALS}, scrape all companies that posted "Series A" announcements in the last 30 days, then login to Crunchbase using ${CRUNCHBASE_CREDENTIALS} to get their funding history, finally update our Google Sheet "${SHEET_ID}" with this data and send a Slack notification to #investments channel.

Monitor Twitter accounts [@account1, @account2, @account3] for posts containing "${KEYWORD}", when found: check their website's DNS records, capture their tech stack using BuiltWith API, and add all findings to row 'Competitors' in Google Sheet ${TRACKING_SHEET_ID}. Repeat every 6 hours.

Login to ${CLIENT_PORTAL}, extract all customer support tickets from last week, analyze sentiment using OpenAI API, then login to our team's Notion using ${NOTION_CREDENTIALS} to create a new page with the analysis and tag relevant team members. Finally, schedule a summary email to ${MANAGER_EMAIL}.

Login to our Salesforce using ${SF_CREDENTIALS}, export all leads that went cold in Q1, cross-reference with their recent LinkedIn activity, if they've changed jobs: update their contact info, create new opportunity, and add a row to our Google Sheet "${PIPELINE_SHEET}" with reconnection strategy.

Monitor ${COMPETITOR_URLS} for JavaScript changes every 12 hours, if detected: capture screenshot, archive the page to Wayback Machine, diff the JS changes, then create a new Jira ticket using ${JIRA_CREDENTIALS} and update our feature comparison sheet ${SHEET_ID}.

Login to GitHub using ${GITHUB_CREDENTIALS}, find all repos starred by ${TARGET_USERS}, analyze their dependencies using package.json, create a technology trend report in Notion, then login to Hunter.io to find maintainers' emails and add them to our Mailchimp campaign "${CAMPAIGN_NAME}".

Login to AWS Console using ${AWS_CREDENTIALS}, extract last month's billing by service, login to GCP and Azure to get the same, compile comparison into Google Sheet "${CLOUD_COSTS}", then create a Looker dashboard and share with ${FINANCE_TEAM_EMAIL}.

Monitor job boards [LinkedIn, Indeed, AngelList] for postings containing "${COMPETITOR_NAMES}", when found: analyze salary ranges, required skills, and location data, then update our Google Sheet "${MARKET_INTEL_SHEET}" and trigger a Discord webhook if any salary exceeds our bands.

Login to ${SAAS_PLATFORM}, export all users who haven't logged in for 30 days, check their company LinkedIn pages for layoff announcements, if found: update their status in our CRM using ${CRM_CREDENTIALS} and add to our "At Risk Accounts" Asana project.

Login to ProductHunt, track all new products in "${CATEGORY}", analyze their landing pages for pricing strategies, capture their GTM tactics from social media, then create a competitive analysis report in Notion and update our pricing strategy sheet ${STRATEGY_SHEET_ID}. Alert on Slack if any direct competitor launches.