Claude Code just hit $2.5B ARR in nine months. Most teams use it as a fancy autocomplete and leave the real money on the table. We use it as an orchestration layer - wiring APIs, browser automation, and Claude together into end-to-end pipelines that replace the work people still do by hand.
These five are live, priced, and ready to run on your stack.
Drop a YouTube URL or a file. Monday 9am you have ten ranked shorts in your CMS, each with IG / TikTok / YouTube Shorts captions written, hooks selected from a negative-hook library, hashtags set, ready for you to approve with a thumb swipe.
ATL nightlife promoters and DJs, weekly podcasters, personal-brand coaches, local brands posting UGC inconsistently.
Keep them for the cinematic work. We take the podcast and stream clips - the volume work that burns editors out. They stay happy, you ship 4x the shorts.
Voice is locked per-client in our config. First run we tune it with you. You review every clip as Under Review before it goes live anyway.
The clips aren't the product. The weekly shipping cadence without your involvement is the product. Compare to what happens now - you miss 2 of 4 weeks. That's 8 clips/mo vs. 25 from us.
Upload a list of company domains. Get back scored, tagged, personalized-opener-attached records pushed straight to HubSpot. Disqualified prospects get tagged and parked, never lost.
B2B founders under Series B running outbound themselves, outbound agencies, solo consultants who need pipeline without hiring SDRs.
Clay is a builder - you still write the prompts, the scoring, the openers. We ship the pipeline end-to-end, voice-tuned to your offer, with HubSpot push working day one. Clay is worth it if you have an ops engineer. We're for teams that don't.
Openers grounded in specific facts don't read as AI. Every opener references something from the prospect's own data with a self-check pass. Read five and tell me which is AI.
Public marketing data and Apollo (licensed B2B data) only. Every record has a compliance log showing sources. No LinkedIn scraping, no auth-walled content. You're covered for CAN-SPAM and GDPR B2B legitimate interest.
Point it at 5-50 URLs per competitor. It snapshots weekly, diffs vs last week, and ships a plain-English report every Monday 8am ranked by severity - pricing at the top, copy changes at the bottom. Critical changes hit Slack within 30 minutes.
B2B SaaS product managers, strategy consultants running market sweeps, sales enablement leads building battlecards.
Those are dashboards. We ship a report. The gap is consumption - dashboards have 10% open rates. Ours lands in Slack every Monday and gets read. We'll integrate with Crayon data if you want; we don't compete with the collection layer.
Public marketing pages only, honest user-agent, respect robots.txt, rate-limited, no auth-walled content. Zero LinkedIn scraping at scale. If a competitor sends a cease-and-desist on a URL, we drop it same-day.
It's not for the report. It's for not missing the pricing change that cost your rev team a deal because nobody caught it. One missed signal costs more than twelve months of this service.
Drop invoices in a folder. Our pipeline OCRs, extracts, validates the math, deduplicates, and pushes clean records straight to QuickBooks or Xero. The ~5% that don't pass validation land in a review queue your bookkeeper clears in ten minutes a day.
Small-business bookkeepers, ops/finance leads at 20-200 person companies, accounting firms offering outsourced AP, property managers.
Fair question. We publish real monthly numbers per client rather than a marketing number. On clean native-text invoices we hit high 90s; on faxed scans with handwriting we hit mid-80s. Our job is to flag the uncertain ones, not claim perfection.
Those tools are positional - trained on fixed templates. We're semantic - Claude reads the doc like a human reads it. And we validate line-item math before anything ships. That's the catch most of those tools miss.
You're already using it - every accounting SaaS has ML for categorization now. We don't send data to public models without a processing agreement. We'll sign a DPA, use private workspace deployment, and retain data only as long as you need.
Phase one: read the last 90 days of your Zendesk or Intercom tickets, cluster the repeats, match them against your existing articles, and hand you a ranked list of every gap. Phase two: write the missing articles in your team's voice, grounded in what your reps actually said.
Heads of Support / Customer Success at 50-500 person SaaS, small support teams drowning in Tier 1 repeats, agencies offering support ops as a service.
That's the failure mode of generic GPT prompts. We start with a voice fingerprint from 10 of your existing articles. Every draft is scored against it; anything below 0.75 is re-drafted. If two attempts still don't match your voice, we flag it.
Then you're the perfect Pro client. Your content lead gets a ranked priority list plus drafts. They edit and publish 5x the volume in the same hours. We don't replace them - we feed them.
PII is redacted before any model sees it. We log every redaction. We sign a DPA. Enterprise supports on-prem embedding - only redacted summaries hit our pipeline.
Month-to-month, no multi-quarter contracts, no setup fees buried in the footer. We eat the setup cost on week one and bank on you staying because the output is obvious. That's our incentive, not yours.