u/UBIAI

Most outreach tools hand you a list of 500 contacts scraped from a dataset that's six months old, fire off a generic sequence on your behalf and call that "personalized." LinkedIn catches it, flags you, and you end up with a warning or a banned account. Meanwhile the people on the list either ignore it or mark it spam because they've seen the same template fourteen times this week from different senders.

I was doing outreach manually for my own thing: reading LinkedIn profiles one by one, checking recent posts, looking for the right moment to reach out, writing something that actually referenced a real detail. It worked. It also took four to five hours a day, which wasn't sustainable once I had other things to run.

So I built verbatune.com to handle the parts that don't need me.

Here's what it actually does:

It scans LinkedIn and email channels for real-time buying signals: role changes, hiring sprees, funding rounds, content engagement, anything that tells you someone is in-market right now rather than just in your ICP on paper. It then pulls together the relevant context on each contact (bio, recent activity, company news, tech stack signals) and uses all of that to write a personalized message that references something real. After the first touch it runs the follow-up sequence and handles booking so the only thing left on my end is showing up to the actual demo call.

It researches and writes, you decide what goes out.

The part that took longest to get right was the signal detection: filtering noise from actual intent signals and making sure the personalization was using context that was actually relevant, not just technically true. Also spent a while making sure it works within normal usage patterns so you're not putting your LinkedIn account at risk.

If you're doing outbound and the research/follow-up grind is the bottleneck, this is what I built for that problem.

Try it at verbatune.com 7 day free trial.

Happy to answer any questions about how the signal detection or personalization side works, genuinely curious what people think after trying it.

Volume + generic copy scaled fast because it felt like a cheat code. Everyone piled in. Reply rates tanked. The cheat code is now just the default, which means it's not a cheat code anymore, it's just noise.

Prospect research never got crowded because it takes real time. Checking what someone posted last week. Noticing they just hired three engineers or expanded into a new market. Finding the one line that makes the email feel like it was written specifically for that person and not pasted from a sequence template.

Nobody automated that part well enough to flood it. So it stayed open.

Shortcuts get you into a lot of inboxes. Research gets you a reply.

The funny thing is the research part is also the part that's actually gotten easier to automate recently, not the blasting part. Blasting a thousand emails was always easy. Finding the right signal for each person at scale was the bottleneck, and that bottleneck is mostly gone now if you're using the right setup.

The lane is still open. Most people are too busy blasting to notice.

Saw a stat somewhere that something like 60%+ of reps miss quota, and the more outreach I've done the more I believe it's not a copywriting problem. It's that everyone's working off stale data, no real process, and whatever free tool they found last week.

Personalizing with {first_name} and {job_title} isn't personalization, it's a find-and-replace. Without actual context behind it the message is still hollow, it just has a name in it now.

Here's the stuff I actually check before I write anything that gets me 20% to 40% reply rate:

1. Real signals like Funding round, new exec hire, event interest anything that just happened. this tells you WHY to reach out now, not just who to reach out to.
2. Actual intent, not assumed intent Did this person engage with anything relevant recently (a post, a topic, a piece of content) more than once? Someone who reacted to "AI sales strategies" four times this week is a very different conversation than someone who's never touched the topic.
3. Reference something real "Looks like you're into X, here's a resource on it" lands completely differently than a generic pitch, because it proves you actually looked before you typed.
4. Timing over guessing "Saw the new feature drop yesterday, that's a solid addition" works because it's tied to something that just happened. The same line sent two weeks later just sounds late.
5. Make it feel like a conversation not a script.
6. Be the one outreach that isn't generic Most outreach in anyone's inbox sounds identical. The bar to stand out is embarrassingly low right now, you basically just have to not sound like everyone else.

None of this requires being a stalker, it just requires actually looking before you hit send, sadly this is the part most people skip because it doesn't scale by hand.

I get it, the manual version of this gets old fast, checking signals and intent by hand for every single lead is a nightmare. For this, I ended up putting together my own setup that scans for the signals, pulls together the relevant info on each person, drafts the personalized message, and handles the follow-up sequence and booking on the back end, so the only part that's still actually me is showing up to the demo (if you automate it things will get so much easier).

Anyway curious what everyone else checks before sending, feel like there's always one more signal people swear by that I haven't tried yet.

So does "just following up," "wanted to reach out," and "circling back." Every one of those lines tells me the same thing. I'm number 600 on a list and you swapped the first name.

Nobody owes you a reply for that.

People keep sending these though. I genuinely don't get it. ChatGPT spits out a sequence, it lands on the exact same beige opener as the other 40 emails sitting above it in my inbox (😮‍💨), and then the response rate is 2% and everyone acts confused.

Fix is dumb simple and nobody does it: say ONE real thing about the actual person (in 2026 personalization is key). That's it. five min of effort beats 95% of what's in my inbox right now. The bar's on the floor.

And look, I get why nobody does it. Reading 50 LinkedIn profiles a day to find "the one true sentence" for each one is its own special hell, which is exactly how we ended up with beige-by-default in the first place. Nobody's lazy on purpose, they're just out of hours in the day.

I went down a whole rabbit hole on this a while back and ended up cobbling together a tool that just does the profile-reading part for me to catch the role change, the funding round, the random relevant posts so the opener actually has something real people can connect with (my reply rate went up by 10%).

Anyway, Say the one true sentence. Outsource the "finding it" part however you want, just don't let the robot write the whole message with no context.

They send 20 emails, get no replies, and assume the campaign failed.

But cold email has always been a numbers game.

The average cold email reply rate in 2026 is 3.43%.

That means 97 out of 100 emails go unanswered and a campaign is still working exactly as it should.

What matters is whether you're consistently putting quality messages in front of the right people and following up properly.

A lot of replies come after the initial email because prospects are busy and your first email wasn't the priority that day.

The reps who build pipeline don't obsess over every unanswered email. They focus on volume, consistency and continuous testing.

The problem tho is that manually researching prospects, personalizing outreach, sending follow-ups and tracking everything becomes a full-time job.

It's easier if outbound runs automatically in the background instead of forcing sales teams to spend hours every day managing campaigns.

Curious how others here think about outbound in 2026.

I used to spend almost 10 hours per lead doing research, writing outreach, taking notes, writing proposals, and chasing follow-ups.

Now I spend about 5 min per lead. Same number of closed deals. (sometimes better)

The only part I still do myself is the actual discovery call, because human connection still matters there. Everything else is automated end to end. Here's the exact system (this is literally what my SaaS runs under the hood):

Step 1: Lead Generation (100% AI) → Scrapes LinkedIn + company databases → Qualifies leads against criteria (industry, size, tech stack) → Enriches contact data automatically → Delivers 250+ qualified leads a week, no manual list-building

Step 2: Outreach (100% AI) → Writes personalized emails using real company research → Runs 3-5 touchpoint sequences → Books discovery calls straight to my calendar → 20-40% response rate

Step 3: Discovery Call (still human) → I run the call → AI transcribes in real time and pulls out pain points, budget, timeline, decision makers → Zero manual note-taking

Step 4: Proposal Generation (90% AI) → Takes the call transcript + my template → Generates a custom proposal: scope, pricing, timeline → I tweak it for 10-15 min → Sent within 2 hours of the call ending

Step 5: Follow-up (100% AI) → Sends the proposal with a personalized note → Tracks opens/engagement → Runs reminder sequences → Pings me the moment a prospect looks ready to close

I built this for myself first because I was drowning in busywork, not because I wanted to build a product. But after a few people in my network saw the workflow and asked "wait, can I use this," I packaged it into a SaaS. It's basically Steps 1, 2, 4 and 5 above, running on autopilot.

If anyone's curious how the lead scoring or the proposal generation prompt chain works, happy to go into detail in the comments.

I used to spend almost 10 hours per lead doing research, writing outreach, taking notes, writing proposals, and chasing follow-ups.

Now I spend about 5 min per lead. Same number of closed deals. (sometimes better)

The only part I still do myself is the actual discovery call, because human connection still matters there. Everything else is automated end to end. Here's the exact system (this is literally what my SaaS runs under the hood):

Step 1: Lead Generation (100% AI) → Scrapes LinkedIn + company databases → Qualifies leads against criteria (industry, size, tech stack) → Enriches contact data automatically → Delivers 250+ qualified leads a week, no manual list-building

Step 2: Outreach (100% AI) → Writes personalized emails using real company research → Runs 3-5 touchpoint sequences → Books discovery calls straight to my calendar → 20-40% response rate

Step 3: Discovery Call (still human) → I run the call → AI transcribes in real time and pulls out pain points, budget, timeline, decision makers → Zero manual note-taking

Step 4: Proposal Generation (90% AI) → Takes the call transcript + my template → Generates a custom proposal: scope, pricing, timeline → I tweak it for 10-15 min → Sent within 2 hours of the call ending

Step 5: Follow-up (100% AI) → Sends the proposal with a personalized note → Tracks opens/engagement → Runs reminder sequences → Pings me the moment a prospect looks ready to close

I built this for myself first because I was drowning in busywork, not because I wanted to build a product. But after a few people in my network saw the workflow and asked "wait, can I use this," I packaged it into a SaaS. It's basically Steps 1, 2, 4 and 5 above, running on autopilot.

If anyone's curious how the lead scoring or the proposal-generation prompt chain works, happy to go into detail in the comments.

2022: 0 responses from LinkedIn DMs

2026: Closed six-figure deals through LinkedIn DMs

Here's exactly what changed.

I stopped sending copy-paste outreach and started treating every DM like it was the only one I was sending that day.

But honestly? I couldn't do that manually at scale, so I built a tool that does it for me.

What we do:

We track intent signals: things like a company posting a new hiring role, a prospect engaging with specific content online or a team suddenly expanding. These signals tell you who's ready to buy right now, not six months from now.

Then we auto-generate hyper-personalized outreach based on those signals. Something like: "Saw you're scaling your SDR team. Usually that’s a sign pipeline targets are growing. I was curious if outbound is part of the plan? "

The result for us:

• Booked calls with people who were already halfway sold before we even spoke
• Cut our sales cycle significantly
• Closed deals we would've never found with traditional prospecting

If your sales team is still spray-and-praying cold outreach into the void, you're leaving serious money on the table.

Happy to answer questions in the comments.

i don't even work in energy, not even adjacent to it. they literally just scraped a name and blasted outreach.

and the message itself is what I think is killing any sort of outreach.

opening with a vague threat to a stranger? asking about assets I don't have?

AI can write decent outreach yes (I use it everyday for my SaaS: We do lead generation and AI generated outreach) but people using AI to scale laziness instead of scale quality is a big issue.

anyone else collecting these?

so I've been in this space for a while and I keep seeing the same thing over and over:Phantom Buster, Gojiberry and a dozen other tools all selling "warm leads" like it's some holy grail. and yeah okay, warm leads are great. I'm not here to trash that part.

but nobody talks about what happens AFTER you get the lead. the outreach. that's where everyone drops the ball.

I got fed up watching people blast the same copy paste AI slop into DMs and then wonder why nobody replies. so I built my own platform and I paid way more attention to the message quality than anything else.

result? 40% reply rate. consistently.

(dropping a screenshot below so you don't think I'm just making stuff up)

the replies I get are genuinely surprising: people saying things like "wow this actually sounds like a real person" or asking follow up questions right away. that's when I knew I was onto something.

the thing nobody wants to admit is that warm leads alone don't do much if your message sounds like it was written by ChatGPT in 2 seconds. people can smell it. inboxes are flooded with that stuff now and everyone has gotten really good at ignoring it.

human sounding DMs + warm leads = the actual combo that works

it's not complicated but it takes effort which is probably why most tools don't bother.

My company don't spend on paid marketing, but we do a lot of direct outreach. We send 250+ LinkedIn messages a week to prospects and potential clients.

We needed a system that could keep up. So we built one and we added 7-figures of revenue in Q1!

This is the exact process high growth tech companies use to book meetings for B2B clients

The problem with traditional prospecting (what we used to do)? we spent 80% of our time figuring out who to contact.

And 20% writing messages nobody reads.

Now we do it differently

Our system doesn't prospect but captures.

Here's what runs while I focus on other tasks:
→ Scans 1,000+ profiles to detect real buying signals
→ Adapts tone based on the prospect's seniority level
→ Manages conversation threads over multiple days without losing context
→ Knows exactly when to push for a call and when to back off

Our average reply rate is well above average! (which is something I am very happy about)

The whole system is:
→ A Claude agents that scan LinkedIn for you
→ AMulti step conversation framework that never feels like spam
→ Using verbatune to cross-references signals to score buying intent
→ And triggers that tell you a lead is ready for a call

My company don't spend on paid marketing, but we do a lot of direct outreach. We send 250+ LinkedIn messages a week to prospects and potential clients.

We needed a system that could keep up. So we built one and we added 7-figures of revenue in Q1!

This is the exact process high growth tech companies use to book meetings for B2B clients

The problem with traditional prospecting (what we used to do)? we spent 80% of our time figuring out who to contact.

And 20% writing messages nobody reads.

Now we do it differently

Our system doesn't prospect but captures.

Here's what runs while I focus on other tasks:
→ Scans 1,000+ profiles to detect real buying signals
→ Adapts tone based on the prospect's seniority level
→ Manages conversation threads over multiple days without losing context
→ Knows exactly when to push for a call and when to back off

Our average reply rate is well above average! (which is something I am very happy about)

The whole system is:
→ A Claude agents that scan LinkedIn for you
→ AMulti step conversation framework that never feels like spam
→ Using verbatune to cross-references signals to score buying intent
→ And triggers that tell you a lead is ready for a call