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Every Monday, find idle Droplets, unused volumes, and old snapshots in DigitalOcean, file each fix as a Linear ticket, and recap the total savings in Slack.
6d ago
When a dbt Cloud job fails, get a plain-English Slack alert that explains which models and tests broke, the likely cause, and a link to the run.
Every weekday morning your team gets one scannable Slack digest that leads with the packages stuck in transit, plus fresh counts per status and anything delivered since yesterday.
When a package hits a delivery exception, your shipping team gets an instant Slack alert with the reason and next step, plus a running log to spot patterns.
Every weekday morning, your team gets a plain-language summary of yesterday's support performance and today's priorities, posted straight to Slack.
Every weekday morning, we check your Clockify projects against their estimates and message your team in Slack only when one is trending over budget.
Every hour we check your dbt Cloud runs for failed data tests and open a Linear issue for each broken model, complete with the error, a link to the run, and a suggested priority.
Back up your DigitalOcean servers every night, automatically delete snapshots past your retention window, and get a Slack recap of exactly what changed.
Every weekday morning, get one Slack summary of your DigitalOcean Droplets, databases, and app deploys that leads with anything unhealthy and ends with a quick all-clear.
Every Monday, get a plain-language recap of last week's shipping spend, carrier performance, and delivery issues delivered straight to your inbox.
Every time a pull request merges into main, we kick off your dbt Cloud production job so your warehouse always reflects the exact code that just shipped.
Every Monday, get an emailed rundown of your dbt Cloud runs: success rates, the slowest models, and which builds are trending slower.
Every Monday, get a clear email that breaks down what your DigitalOcean bill is doing, what is driving the change, and which resources cost the most.
Every Monday at 6am, a cloud browser pulls new LinkedIn post commenters, scores them against your ICP, adds fresh leads to HubSpot, and Slacks the top picks.
Every Monday morning, roll up last week's uptime, incidents, and worst outages into a leadership-ready summary in Slack and Notion.
When Better Stack fires an incident, an agent posts a rich Slack heads-up and opens a Linear ticket so your on-call team hits the ground running.
When an Aircall call finishes, open a Zendesk ticket with a plain-language recap, sentiment-based priority, and instant escalation on negative calls.
Whenever Better Stack resolves an incident that lasted more than five minutes, get a Google Doc postmortem draft in your Drive and a Slack ping for the on-call engineer to finish it.
Every weekday at 8am, we group your firing CloudWatch alarms, flag flappers and overnight fires, and post a triaged digest to your Slack ops channel.
Every Monday at 8am, roll up last week's events from DynamoDB, spotlight top movers, at-risk accounts, and silent customers, and email it to you.
Every weekday at 8am, scan every Amazon SQS queue in your region, flag the ones backing up or filling a dead-letter queue, and post a grouped digest to Slack.
Every Monday at 8am, a cloud browser pulls each competitor's live Meta ads, logs them to a sheet, and emails a plain-language brief to marketing.
Every weekday at 8am, post a pipeline digest to Slack grouped by rep with movers, stalls, and deals closing this month.
Every four hours during business hours, an agent sweeps your subreddits and keyword searches, classifies each hit, and posts it to a Slack triage channel.
Every Monday at 8am, a per-rep coaching digest of your Bigin pipeline lands in Gmail and sends to your sales manager, flagging stalled deals and next-step nudges.
When a rep tags an Aircall call demo-booked, follow-up, or not-interested, log the call in Salesforce and drop a ready-to-send follow-up into their Gmail Drafts.
Post every Better Stack monitor's live uptime and incident count to a shared Google Sheet each morning so anyone can filter, chart, or pivot without a monitoring seat.
A quiet morning audit that flags missing backups, stale snapshots, and unusual table growth — and only pings you when something actually needs a look.
Every 15 minutes, scan CloudWatch for firing alarms and open a Linear ticket for each new one so on-call can start investigating without touching the AWS console.
Every Monday morning, harvest Product Hunt's weekly leaderboard, filter it to your topics, log matching launches to a spreadsheet, and post a ranked digest to Slack.
