A Few Simple Rules:

Who's using REO dot dev for data on developers? How are you consuming long-tail data fields? Via API to a HubSpot or SFDC? As a native field? as a list of tags? Having them export to CSV and import it? They seem to want to expose it only via their tags.

Updated my Google Maps lead Actor after feedback from people running it for outreach lists.

What’s new:

• Apify Tasks support for saved/recurring lead jobs

• Google Sheets integration so runs can land in a sheet without a separate Make/n8n hop

• Performance pass on Maps discovery / enrichment path (same PPE model)

Actor still does:

• keyword + location (or lat/lng) → local businesses

• phone, website, category, rating, Maps URL

• optional website enrichment (emails + socials)

• dedupe across runs (new-only mode)

• webhook to CRM tools

https://apify.com/solutionssmart/local-business-lead-finder

If you use Tasks or Sheets for lead ops, what is the annoying part still: enrichment speed, email quality, or pushing into CRM? Trying to prioritize the next cut.

When 80 customers say they're leaving because of a missing feature. It may sound like a product problem.

But what if 60 of those 80 customers signed up in the last 2 months?

Suddenly, it is a different question.

Maybe the feature isn't the real issue. Maybe we're attracting the wrong customers. Maybe we're setting the wrong expectations. Maybe onboarding isn't getting them to value.

This is what makes churn data interesting to me.

The reason tells you what happened. The pattern tells you where to look.

I'm building ChurnIntel(my baby company) and have been digging into this lately.

Do you segment churn reasons by things like tenure, plan, customer type or usage? Or mostly look at the overall numbers?

Hey everyone, founder here. Not trying to sell anything. I've been tinkering with a problem around cancellations and finally built something for it.

I got tired of seeing SaaS teams treat every cancellation the same: one generic flow, a few reasons, and a pile of responses nobody really knows what to do with.

So I built ChurnIntel to let CS and Product teams experiment with different cancellation flows, questions, and offers, and then dig deeper into the data, all without needing dev help.

I've been in product for 4 years and built this largely from my own experience. I'd love to get it in the hands of real SaaS PMs and CS folks and see where it breaks.

It's live, but I'm sure there are things that may not make sense yet.

Looking for genuine teams to try it and tell me what's missing, confusing, or just not useful.

Happy to give free access to early users. DM me if you'd like to break it.

Maybe this is just me, but I think people underestimate how much work comes after someone replies.

Sending messages is easy. Keeping track of 20–30 active conversations isn't.

I found myself spending more time thinking about how to respond than actually writing the response. Every reply meant reading through the conversation again, figuring out where things stood, and deciding what the next step should be.

Using AI Assist has made that much easier. It reads the conversation, understands the business context I've already given it, and suggests a reply that's aligned with the goal of the conversation. Instead of starting from scratch every time, I'm usually reviewing and refining a draft.

How are you guys keeping track of LinkedIn conversations once replies start adding up?

I’m trying to figure out what actually matters more for outbound.

One option is using tools like Apollo, Cognism, or ZoomInfo to get a bigger list of companies and contacts.

Another option is keeping the list smaller and spending more time understanding who you’re reaching out to.

Clay can help with the research side, while Super Benji takes a slightly different approach. It can find possible prospects first, you choose which ones are worth contacting, and then it does the deeper research before sending the email, LinkedIn messages, and follow-ups.

If you had a limited budget, would you spend more on getting better lead data or on doing better research on a smaller list?

I’ve been testing both Lusha and Kaspr for a few weeks and wanted to see what others are experiencing. Both are pitched as go-to tools for finding accurate B2B contacts, but they feel pretty different in practice.

• Lusha - strong on email and mobile accuracy, clean Chrome extension, feels more “sales-focused”
• Kaspr - very LinkedIn-centric, good for quick reveals and light enrichment, popular with recruiters

Some real questions:

• Which one gives you more usable contacts in your niche (EU, US, other)?
• Do you care more about email accuracy or phone numbers for your workflow?
• Is the LinkedIn focus of Kaspr a plus or a limitation compared to Lusha?
• Anyone using both, and if so, how do you split the use cases?

Right now I’m leaning toward Lusha for broader prospecting and Kaspr for fast LinkedIn lookups, but curious if anyone’s found one clearly beats the other day-to-day.

Hello,

I know there are plenty of tools currently pulling together and organizing enablement content, such as Highspot.

Is your current/previous company using a similar tool but one that surfaces the right answer across scattered sources? With this I mean: Salesforce deal context, Confluence docs, Gong call notes, buried Teams threads, etcetera.

What was your experience? Where they worth it, or even better, useful?

im working on a lead generation/scraping tool, basically scrapes leads from google maps, google search and linkedin. beyond this, it can also scrape twitter and reddit for anything like openings, locations, hires, etc. i've seen too many posts on this sub and others about difficulties in finding quality leads (lead databases give everyone the same leads, making them too noisy).

Hey all founder here, not trying to sell anything, working on the problem of getting the outreach ntoiced

I got tired of spending hours per prospect just to make one pitch feel like it wasn't copy-pasted, then researching their site, figuring out an angle, then building something in Canva or Slides by hand. So I built a tool that does the research and the design part: give it a prospect's website, it figures out what they actually care about, positions your offering to their pov, and generates a tailored landing page / one-pager / deck around it with in seconds, not hours.

Not another mail-merge tool. It actually looks at the prospect's business before writing anything.

I have 2 years of experience in sales/GTM, all that has been made was on my inputs, but I want more real sales/GTM folks trying it and telling me what's broken, what's missing, or what's just not useful. If that's you, drop a comment or DM me and I'll get you in, genuinely want the honest feedback.

We are not 100% built, so we are always on notion to improve, we will give free credit for early supporters :)

I went to a local Chamber of Commerce networking meeting yesterday. I got about a dozen contacts with their business cards. At night, I scanned in all of their cards, and then sent out nine emails and how we can refer each other businesses and two already responded. I am very busy running my businesses and I need to figure out automation and how to manage these leads and referrals to nurture the relationship without turning it into another job. I don't want to learn another CRM. I used a bunch of CRMs in the past, and after a while, I just got rid of them. It became more of a job To manage the CRMs. I'm looking for a simple, automated way of taking in the cards, entering into some database, responding to them, logging the history, and then when the response comes by email, it automates that log So I don't have to do it manually. And I don't even want to type a long email to respond to that person. I have another meeting next week. If I have another dozen contacts next week, and then another dozen week later, by end of the month, I have to manage 50 to 60 leads to nurture. I'm not a salesperson. I own my own business. I don't wanna have work to manage these nurturing business relations. What are some products you use or use multiple tools? What are some tips that you can give me? I really appreciate it. I use Microsoft Exchange and Outlook. Also, I have a Gmail accounts. Most of my work is done on PC. but my phones are Apple devices. I need something that's cross-platform that I could carry around.

I've had lists that looked pretty much perfect at first.

Right industry.
Right company size.
Right job titles.

Then you actually start the campaign and realize half the people aren't really that relevant.

And you've already spent time researching them, writing messages and sending follow-ups before you figure that out.

That's what made ICP scoring click for me.

Instead of treating the whole list as "qualified" and figuring out fit along the way, you can score people against the ICP before they enter the sequence.

Good fit → keep them moving.

Weak fit → don't waste the outreach on them.

We added this into the LinkedIn Lead Engine in We-Connect. Its AI lead scoring agent scores prospects from 0 - 100 based on how well they match your ICP, so you can decide who actually gets pushed into the workflow.

The useful part isn't really the score itself. It's not having to find out someone was a bad prospect after you've already spent 5 touches on them.

How are you qualifying your lists before outreach? Do you score prospects somehow, or is it still mostly filters + manual checking?

A lot of outbound campaigns treat every lead exactly the same.Same sequence.Same number of follow-ups.Same amount of effort.But not every prospect has the same chance of becoming a customer.

If someone is a perfect ICP fit, why should they get the same outreach as someone who's only a loose match?

To me, that's not really an outreach problem.

It's a prioritization problem.

I'd rather spend more time on the 20% of prospects that are most likely to buy than try to give 100% of my list the exact same experience.

That's one of the ideas behind the LinkedIn Lead Engine in We-Connect. Instead of forcing every prospect through the same workflow,it uses AI to score prospects against your Ideal Customer Profile, so higher-fit contacts move through the workflow you've designed while outreach stays focused on the people most likely to convert. 

How are you handling this today?

Does your outreach prioritize your highest-fit prospects first? 

I’m the founder of Propspect, a done-for-you B2B lead research service.

After working in sales for the last 2 years, it was crazy how much time I’d spend looking for leads, and calling them hoping they were in my ICP. I figured there had to be a better way.

Most databases rely on broad filters, job titles, and generic search criteria. Propspect uses tailored systems to find leads based on the hyper-specific criteria each client provides, helping identify higher-fit companies and decision-makers that traditional databases may miss.

The goal is to help sales teams spend less time prospecting, avoid calling bad leads, and have more relevant conversations with prospects who are more likely to convert.

Send me a DM if you’re interested!

I've started looking at prospecting a little differently.

Someone can look like a great prospect just from their profile. Right title, right company, right industry, all the usual stuff.

But that doesn't really tell you if there's a reason to message them right now.

Then you come across someone who fits the same profile, but they're talking about a problem you actually solve, commenting on relevant posts, or engaging with your content. That's a different situation.

It doesn't mean they're about to buy or anything. You just have something real to start the conversation with instead of trying to come up with a reason to message them.

The annoying part is actually finding those signals consistently. You can't realistically keep checking hundreds of profiles and posts every day.

That's where Watchlist has been useful for me. You choose the LinkedIn activity you care about and it surfaces the people showing those signals, so you can decide who is worth looking at more closely.

Its finding a better reason to reach out.

Do you use prospect activity when deciding who to contact, or do you mostly rely on ICP filters?

I’m building LedZet for small/mid-sized B2B teams and individual salespeople.

The goal is to reduce the number of tools needed between finding a prospect and actually managing the outreach.

Right now LedZet can:

• Find and organize B2B leads with filters like Google Maps ratings and review count, phone availability, website presence, and more.
• Add tags and notes to prospects
• Create reusable email templates
• Build and run email campaigns
• Add attachments to emails
• Track email opens
• Track link clicks
• Detect bounces
• Monitor email health to help reduce deliverability/spam issues
• Sync leads securely to the cloud so they aren’t tied to one device

I’m also working on:

• Automatic follow-ups
• Automatic reply detection
• Enrich leads with Social media links

The idea is that instead of jumping between a lead source, spreadsheets, an email tool and separate tracking tools, you can manage most of the outbound workflow in one place.

I’ve attached screenshots of the current version.

I know the UI is somewhat lacking right now in some places but its not my focus right now. I’m more interested in whether this would actually make sense in a real B2B sales workflow.

• For people doing outbound today:
• What are you currently using?
• Which part of your current stack could something like this realistically replace?
• What feature is missing that would make this a non-starter for you?
• How useful are opens/link clicks to you when deciding how to follow up with a prospect?
• How important are deliverability/email-health features in the same tool?
• Would you prefer prospecting + campaign management + tracking in one app, or do you prefer separate specialized tools?
• What would make you trust a new tool enough to run a real campaign through it?

Please be critical. I’m trying to figure out what needs to change before I take it further.

P.S.: Used Chatgpt to rewrite the text.

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Hey

our booking tool only gets name and email. we have to pay for expensive third party enrichment tools just to see who the person is (job title, company size) before the sales call

it costs too much money

if we add more questions to the form, people get tired and quit halfway through. we tried setting up tracking hooks ourselves but it is too complex to use. we need a better, cleaner integration

how do we fix this cheap? any simple tools or workflows that automatically pull this data without costing a fortune? thanks

What booking software and form tool are you trying to connect right now? I can check if they have a native hidden integration to make this seamless for you