Miniloop
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Stop the cold list. Reach buyers when they show intent.

Title lists are dead. Reach buyers when they show intent, not when their title matches your filter. Miniloop watches LinkedIn engagement, hiring posts, funding, and job changes, then fires.

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Everything an SDR does. Automated.

Miniloop is the agent layer for outbound. It watches every signal that matters, builds the list, personalizes the outreach, and works the conversation until a meeting is on the calendar.

Competitor engagement tracking

Watch who likes, comments on, and follows your top competitors on LinkedIn. These prospects are already evaluating your category. AI matches them to your ICP and queues them for outreach.

Job change and hiring signals

Catch champions when they switch companies. Spot ICP accounts hiring for the role that buys your product. Both are gold-standard intent signals and Miniloop watches both 24/7.

Funding and growth triggers

When a company raises, hires aggressively, or expands into a new market, it reorganizes its tooling. Miniloop fires outreach the moment the signal lands.

AI personalization that reads personal

Research each prospect from LinkedIn, the company site, podcasts, and recent news. Pick the angle. Write a unique opener. The result reads like a person spent 20 minutes on the prospect.

Multi-channel sequences

Push personalized emails into Instantly, Smartlead, Apollo, Outreach, or Salesloft. Add LinkedIn DMs and connection requests. Keep your warmup, deliverability, and inbox rotation.

Reply handling and meeting booking

Classify every reply. Positive responses create deals in your CRM and offer calendar slots. Questions route to the right rep. Negatives suppress. Out-of-offices reschedule.

Deploy your AI SDR

Title lists and fake personalization are dead

Buying a list of VPs of Sales and spraying cold emails does not work anymore. Neither does 'I saw you went to UVA' personalization. Both patterns assume the prospect cares because of who they are. Real outbound works because of what the prospect just did. Miniloop watches every meaningful signal across LinkedIn, ATS feeds, funding databases, and competitor activity, then fires personalized outreach the moment the signal lands.

  • Watches LinkedIn engagement, job changes, hiring, and funding
  • AI personalizes from real research, not Mad Libs
  • Runs 24/7 across every signal source you care about
See it in action

From signal to meeting, without a human in the middle

The same loop, every day. A signal fires. The agent enriches the prospect, scores ICP fit, researches the angle, writes the opener, and pushes into your sequencer. When the prospect replies, the agent classifies the intent, books the meeting, and notifies your AE.

  • AI handles enrichment, personalization, and reply classification
  • Runs every day on every signal you care about
  • Books meetings and routes to the right rep automatically
See SDR templates
From signal to meeting
1
Signal fires
2
Score the intent
3
Write from the signal
4
Reply, book, route

Why teams replace SDR hiring with an AI SDR

Higher reply rates from warm signals

Reaching prospects who just engaged with a competitor, switched jobs, or watched their company raise is dramatically more effective than spraying cold lists. Most teams see 2 to 5x higher reply rates.

Scales without hiring

Doubling pipeline used to mean doubling SDR headcount. With Miniloop, you scale by adding signal sources and ICP filters. The cost per meeting drops as the program runs.

Keeps your existing stack

Miniloop pushes into Instantly, Smartlead, Apollo, Outreach, Salesloft, HubSpot, Salesforce, and Attio. You keep your warmup, deliverability, and CRM. We are the agent layer, not another sequencer.

Full visibility into every send

Every prospect, every signal, every personalization step is logged. You see exactly what the agent did, what worked, and what to tune. No black box.

Personalization that reads personal

AI does real research per prospect. LinkedIn, company site, recent posts, podcast appearances. The opener is the angle a sharp human would have picked.

Title-list outbound vs signal-based outbound

What changes when you stop spraying titles and start reaching buyers when they show intent.

Title-list outbound
Miniloop signal-based outbound
Buy a list of VPs of Sales and spray cold emails
Watch hiring posts, competitor engagement, funding, and job changes 24/7
'I saw you went to Duke' or 'I saw you live in Austin' openers
Reach prospects the moment they show real intent
200 sends a day on lists nobody warmed
Personalize from the actual signal, not biographical trivia
Reply rates under 1 percent. Deliverability tanking
Send fewer, sharper emails to people in market
No idea why a given prospect should care today
Reply rates 2 to 5x higher. Deliverability healthy

How to deploy an AI SDR

From hiring requisition to live agent in a week.

01

Define your ICP and signals

Tell Miniloop who you want to reach and what intent looks like. Competitor engagement, hiring posts, funding rounds, job changes, tech stack moves. Pick the signals that matter for your motion.

02

Connect your stack

Link your CRM, sequencer, calendar, and Slack. Miniloop reads from your existing accounts and pushes back to them. No migration.

03

Watch the meetings land

Signals fire. The agent enriches, personalizes, sends, and handles replies. Meetings book directly into the right AE's calendar. You tune the ICP and signal mix as the data comes back.

Frequently asked questions about AI SDRs

The old SDR playbook is dying

The outbound motion most teams still run was designed for 2019. Buy a list of VPs of Sales. Plug them into a sequencer. Spray 200 cold emails a day. Personalize on what school they went to or what city they live in. Hope reply rates clear 1 percent. They almost never do anymore. Inboxes are saturated, deliverability is brittle, and prospects can spot a Mad Libs opener from the subject line.

The playbook that works in 2026 is different. You stop spraying titles and start reaching buyers when they show intent. You stop personalizing on biographical trivia and start personalizing on the signal that triggered the send. The agent that runs this loop 24/7 has a structural advantage over the one that does not.

Title-list openers vs signal-based openers

The difference shows up in the first sentence of the email. Two openers, same prospect, totally different reply rate.

Title-list opener

Hi Sarah, hope you're doing well! I saw you're VP of Sales at Acme and noticed you went to Duke. Go Blue Devils. We help companies like yours grow pipeline.

This gets deleted in two seconds. The prospect knows the rep ran a list, knows the personalization is a variable swap, and knows the rest of the email is going to be a generic pitch.

Signal-based opener

Hi Sarah, saw you liked Apollo's pricing post yesterday and noticed Acme is hiring three SDRs this quarter. Most teams making both moves at the same time are evaluating sequencer alternatives. Curious how you're thinking about it.

This gets a reply because the rep noticed something the prospect just did and tied it to a real question. The prospect can tell a human (or an agent that read the room) wrote it.

Miniloop generates the second kind of opener, every time, because every send is triggered by a signal, and the signal is the angle.

Why signal-based outbound wins

Signals predict replies. Titles do not.

A prospect who liked your competitor's launch post yesterday is dramatically more likely to reply than a random ICP-matched contact who just happens to share the same job title. The same goes for someone who switched into a buying role last week or works at a company that just raised. Signals are leading indicators of intent. Titles are not.

Personalization grounded in signals reads as effort

When the opener references something the prospect actually did, the email reads like a careful human spent 20 minutes on the prospect. When the opener references their college or their city, it reads like a Mad Lib. Miniloop personalizes from the signal that triggered the send.

Fewer, sharper sends beat more, generic sends

The math has flipped. Sending 200 cold emails a day to a list nobody warmed will tank your deliverability and waste your domain reputation. Sending 30 emails a day to people who just showed intent, each one referencing the actual signal, will book more meetings. Miniloop is built for the second pattern.

How Miniloop runs your AI SDR

Every day, the agent pulls fresh signal data, scores prospects against your ICP, researches each angle, writes signal-grounded openers, and pushes into your sequencer. When replies come back, it classifies intent, books meetings into your AE's calendar, and routes negative replies to suppression. You see the full activity log and tune the ICP and signal mix as data accumulates. Positive replies route in seconds, not hours — speed of response on a warm reply is the difference between a meeting and a missed deal.

AI SDR integrations

Miniloop plugs into the outbound stack you already use.

Related guides and templates

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