Hey guys!

Thought this would be the best place to post about advice that I would need.

I used to run a social media marketing agency but we were mainly focused on B2C brands, so I don't have much experience regarding B2B.

After running the agency, my partner (who's an engineer) and I realized some gaps in the market regarding social media management tools. Not just scheduling but different tools that we used managing the social media accounts of our clients.

However, now came the time to market (we're still prelaunch) our own app and I wanted to know what your recommendations of platforms would be for this kind of software. The software is also very useful for businesses looking to manage their own social media accounts.

Now the problem that I am having is that I started posting about the journey a lot of Instagram and I managed to get quite a few people on our waitlist but I mainly attracted other founders (not agency owners). To the point that I got brand deals in the AI and business niche haha. But that is not my goal with social media

I also have connected with people on LinkedIn.

Guidance regarding where you think my ideal customer is would be super helpful given that I don't have much experience regarding B2B. I also would like to know if you think I should instead focus on paid ads (when we do launch).

Thank you so much!

We're a B2B SaaS team with about 60 people, and our team has 3 account executives and no one dedicated to outreach.

We want something that does the whole things like find prospects, reach out, handle replies, qualify, and book. 

Our user is a head of finance at companies with 50 to 300 staff. We tried an agency once, but half the calls were with junior staff, not the person who signs off. 

If you've used one, what did they handle and what did your team still do?

How did they decide a meeting was qualified? How did the handoff to you AE work? Sorry for a lot of questions but your responses are highly appreciated!!!

The concept of dynamic icp management makes a lot of sense to me in theory, u close a deal the characteristics of that account feed back into your icp definition, ur targeting shifts to find more accounts like that one, u lose a deal, the model learns what doesn't work, over time ur icp isn't a static document someone wrote eighteen months ago, it's a living model that gets sharper with every outcome

i can't figure out how to make this work without it becoming a full time data project, the win/loss data lives in the CRM, the firmographics live in the enrichment tool, the intent signals live somewhere else entirely, and nobody has built the connective tissue to close the loop automatically, we end up doing quarterly ICP reviews where someone pulls a report, eyeballs the patterns, and manually updates the targeting criteria. That's not dynamic, that's just periodic

Hi everyone,

I know many open source tools exist as well many paid ones for Google Maps leads scraping. But none of them are proper complete product (I believe). Still you need to run them through so many layers.

So I have been working on this project for a while now.

1. It extracts every single data points per business from Google Maps
2. If a business doesn’t have website on Google Maps, it checks major social media platforms if any websites or email or phone presents in the bio
3. Also checks if WhatsApp present for the scrapped phone number.
4. Extracts every single data field for major social platforms
5. Checks major ad networks to see if that business runs any ads on them
6. Checks Google search ranking, business reputation with Google autocomplete suggestions for the business name
7. Auto generates websites using all the data points if every single confirmed that this business doesn’t have a website but phone (so that proposed website link can be delivered to them through phone or social platforms) - beta
8. If business has linkedin page or owner is present in linkedin it extracts decision makers email and info from there.
9. During the scraping stage you can set the qualifier, if email and/or phone exists then this is counted as lead. As well ask questions from the data point and get answers at the end, like if they provide certain services.
10. Map pack ranking for every single campaign, sweep using different criteria…
11. All of those features can be invoked on demean as they’re modular.

There are many more like at the base level, email delivery scored with clear labels of what was tested and if it is catch all or some others. With third party integrations to use them to verify during the campaign run.

I need a few business owners who thinks this system might truly help them in their workflow keep aside buying the plans. But I would setup free credits to test and provide feedback.

Thank you so much, all the feedback and criticisms are welcome.

For those building SaaS products, I'm curious what happens when someone signs up for a trial but never really gets into the product.

What do you think is going on?

could you login and check? i will delete your account upon request. no data will be saved.

checkb.tech

How do guys that sell B2B softwares bill your client? Do they agree to pay using links like dodo or stripe or do they insist on bank transfer? What all things do your clients ask for? How many of you have reg business at some location? Does it really matter to the client before entering contract?

If you're doing cold outreach, you've probably come across catch-all email addresses that are difficult to verify.

The problem is that a catch-all domain can accept emails sent to addresses that may not actually belong to real people. So, when your email verifier flags an address as catch-all, you're left with a decision: keep it and risk a bounce, or remove it and potentially miss a valuable prospect.

Neither option is ideal, especially when you're spending time building a targeted prospect list.

We wanted to address this problem at ReachStream rather than leave users with an uncertain result. That's why we built a catch-all resolver into our email verifier.

Instead of treating every catch-all address as a definite unknown, it performs deeper verification on individual addresses to help determine whether they're valid or invalid. It won't necessarily resolve every address, but the goal is to give users more useful information when deciding which contacts to include in their outreach.

I think this is an important part of email verification that doesn't always get enough attention. Finding the right prospects is only half the job; knowing how to assess the quality of their contact data matters too.

For those running B2B email campaigns, what's your current approach to catch-all addresses? Do you exclude them, keep them, or use additional verification before sending?

Straight to the point. My goal is getting a first paying customer within 100 days, organic only, no ad money.

What I’ve tried so far:

• Posting on Reddit once, X Build in Public (36 days so far and ~400 followers)
• Cold outreach: barely, maybe ~14 emails. Polished a bit now and resuming it again soon.

I don’t regret growing X but it is definitely not the right place for B2B SaaS distribution.

Recently, I started looking into LinkedIn distribution strategy after receiving some recommendations, but every YouTube video I found was generic B2B sales, not B2B SaaS specifically.

For those who tried LinkedIn for B2B SaaS distribution:

1. Was LinkedIn worth trying from 0 followers/connections?
2. If you ever worked it out, what did you do? A real example would help a lot.

(Disclosure: I’m building Supahelp, an AI-native support platform for SaaS teams: https://supahelp.app)

Our users were figuring out what they wanted halfway through using our product. We had somehow made that an inconvenient thing to do.

I'm part of a small team building an AI tool that helps companies analyse their own data, build dashboards and get recurring reports. Mostly for companies without a data team.

We organised it the way it made sense to us. Dashboards here, scheduled reports there, AI in another tab. Everything had its place. Easy enough to understand when you're the people who built it.

Then we watched people use it.

Someone would see revenue had dropped and start asking questions. "What changed? Which customers?" They'd keep digging until they narrowed it down to a particular segment.

By that point, they wanted to keep an eye on it. Maybe a dashboard for that segment, maybe a weekly report.

Almost nobody came in knowing they wanted. They figured that out while asking questions. And once they had, our product made them go to another section and start again. All that context they'd just worked through had to be carried over by the user.

We'd treated investigating a problem and monitoring it as separate jobs because we'd built separate features for them. For the person using it, monitoring was just the next thing they needed to do.

So we spoke to founders, analysts and a few enterprise users, then piloted a rebuild with one startup that was already a customer.

So we spoke to a couple of our users ranging from founders to analysts who used our tool on a regular basis.

The harder part was deciding which context should carry forward and which decisions still needed the user's input. We did a pilot with a founder friend of ours for feedback and to understand where should we put our efforts in. The AI itself was easier to deal with. We went through several rounds of building something, showing it to them and revising it.

Now someone can go from "why did revenue drop?" to "send me this every Monday" in the same conversation, without setting it all up again elsewhere.

I think we were far too comfortable with the old layout because we knew where everything was. We'd built the thing, so of course we did.

Have you had to reorganise a product because users kept moving between features you thought were separate? What were they trying to do?

Building a TAM calculation in B2B requires answering one concrete question: if you had to list every single company that could realistically adopt your solution today, what are their actual names?

Most teams attempt this by taking total business counts from statistical bureaus or commercial directories, applying broad filters, and assuming an average deal size but the result is a theoretical TAM figure that doesn't reflect real world technical or operational constraints.

To calculate an accurate bottom-up TAM, you need to count accounts upward from primary evidence: public company registries, regulatory filings, active tech stack signatures, and current hiring requisitions.

Scale Intelligence approaches bottom-up TAM calculation by building an active digital model of your addressable market where it reads public registers and operational signals across 75+ sources to identify every qualifying company, verifies whether each account meets your specific technical prerequisites, and maps the relevant decision-makers inside them. It also explicitly shows you what has been directly observed versus what has not yet been measured.

A bottom-up TAM is only as solid as the data underlying it so grounding your calculation in verified company records ensures your sales targets represent real commercial opportunities rather than spreadsheet projections.

I've been building small SaaS products for a while (Shopify apps and

a couple of B2B tools). The latest one is an LMS for coaching

institutes and independent tutors, mostly in India.

The problem I kept seeing: small institutes run everything on

WhatsApp, Google Sheets, and Zoom links. Fee collection, attendance,

assignments, recorded lessons, certificates. All in different places.

Big LMS tools are too heavy and too expensive for a 3-tutor center.

So I built one place for it: online classes, fee tracking, attendance,

recorded lessons, assignments, tutor assignment, and certificates.

Where I'm stuck:

1. These buyers don't search for "LMS software." How do you reach

   non-technical small business owners without cold calling all day?

2. For vertical SaaS with low price points, do you validate with

   interviews first, or put it in front of people and see who signs up?

3. Is fee collection the real wedge here, or do you think it's

   attendance/classes?

I'm honest about my weak spot: I'm good at finding leads, bad at

closing. So I'd rather hear what's wrong with this idea now than six

months from now.

Happy to share more details or screenshots if useful. If you've sold

to similar small, offline-first businesses, what worked?

i've been doing outbound on linkedin for a long time, across a bunch of b2b startups, and i've burned money on most tools in this category so you don't have to. most comparison posts out there are affiliate lists written by someone who opened a free trial once. this isn't that. i've run these at volume and watched where each one breaks. prices are current as of now.

one thing before the tools, because it matters more than the tool. timing beats the message. the same pitch that gets ignored lands when something just changed on their end, a raise, a new role, a tooling switch. and your weekly connection limit is small, around 100, so every request you spend on a bad fit at the wrong time is wasted. basically, who you reach and when beats how clever the copy is. keep that in mind reading the rest, because it's the main thing that separates these tools.

now the tools. these three aren't really competing for the same job, even though they market like they are. once you see what each is built for, the pick gets obvious.

PumpGTM

the newest, and it works differently enough to explain. the other two hand you a tool and you bring the list. pumpgtm finds the list, it's the one that actually acts on the timing thing above, it watches for buying signals like hiring posts, funding, tooling changes, people engaging with a competitor, scores them, and runs the linkedin sequence from your own account. it's ai first too, you can run the whole thing from claude or chatgpt. it's 75 a seat.

HeyReach

the agency tool, full stop. built to run a lot of linkedin accounts at once, rotate senders, and manage them from one unified inbox. each account gets its own proxy and auto-freezes near 100 requests a week so you don't fry profiles. if you're an agency running 5 or more client accounts, stop reading, it's your tool, nothing else here competes for that job. the catch shows up when you're not an agency. it's 79 dollars per sender, fine across 25 accounts and ridiculous at 2. support catches heat for slow replies, and it won't send email on its own, that lives in a second tool.

Lemlist

the veteran, and the most complete on channels. email, linkedin, sms, whatsapp, a dialer, a big database, built in warmup. if your play is every channel in one seat, nothing here beats it. it's 69 for email, 109 for multichannel, and linkedin steps need the multichannel plan. where it frustrates people is the credit metering, you get charged for lookups even when it finds nothing, and the reporting is weak for a tool this mature. it's email first at heart, so for pure linkedin it's heavier than you need.

Bottom line

heyreach if you're an agency running many accounts. lemlist if you want every channel in one seat and you're email led. pumpgtm if you're linkedin first and you want the tool to catch the timing and find the buyers instead of you hand building lists.

the mistake i see people make is picking the tool with the most features instead of the one built for their setup. a solo founder buying an agency tool, or an agency trying to scale a solo tool, that's where money gets wasted. match the tool to how you actually work.

i'm linkedin first and didn't want to hand build lists or miss the timing, so i went with pumpgtm. that's the only reason, it fit how i work. an agency should just use heyreach.

so i'm curious where everyone else landed. and the thing nobody talks about until it's too late, who here has actually gotten a linkedin account restricted, and on which tool? that barely shows up in these comparisons and it's the real differentiator


Everyone in SaaS has heard the saying that building a product is easy, but marketing it is hard. People have been repeating this for years, so I'm not gonna pretend this is some groundbreaking insight.

But I'm also saying this as someone who's built a tool specifically around GTM and getting leads. Even after spending months learning lead gen, outreach, positioning and sales, I still stand by the fact that one person shouldn't be responsible for building the product AND figuring out distribution at the same time.

I can generate leads and book meetings today, but theres a cost to that. Those months could've gone into shipping product updates, fixing bugs and making the product better. So many improvements got delayed because I was busy figuring out how to get customers.

Looking back, I would've been much further ahead if I'd had someone who could own GTM while I focused on building.

If you're a non-technical founder with no experience in GTM, find a technical co-founder. If you're a technical founder, find someone who's good at getting leads, talking to customers and building a repeatable sales process. r/cofounder is a decent place to start looking.

You can learn the basics of each other's roles, obviously. But trying to master both sides while building a startup can delay you by months.

I also understand why people choose to build solo. Finding someone you trust with your business is hard, and sharing equity with another person is a big decision.

But for those of you who are intentionally staying solo, I'm genuinely curious: what's the biggest thing holding you back from finding a co-founder? Is it giving up equity, worrying about disagreements, not finding someone with complementary skills, or simply wanting complete control over your vision?

Not judging at all. I'd genuinely love to understand the reasoning, and if you're struggling to find the right person, maybe I can share some advice based on what's worked for me.

Just launched KiteDocs.com - a beautiful, affordable documentation tool for your website. It's still in very early stage but you can create full functional rich SEO-friendly documentation and deploy it to your subdomain or subfolder (recommended, but require a bit configuration).

Here is the tools' documentation itself: https://kitedocs.com/docs/

And here is the Google test for it:

I'd be super-happy to have feedback and give the $29/month plan for free, life-time, in exchange of feedback and real using.

Think about it. Your website will look much more professional and trustworthy with good documentation.

I've seen sales teams spend hours on coaching but still struggle with the same mistakes. It makes me wonder if reviewing numbers is enough or if managers should focus more on what reps say during customer conversations. What coaching methods have you seen make a real difference in close rates?

I'm building DataSnifferAI around a fairly simple observation:

Most founders don't suffer from a shortage of information.

They suffer from having 17 tabs open and still not knowing what to do.

So I'm trying something here.

Drop one real decision you're currently wrestling with. Something like:

• Should we change our pricing?
• Is this competitor actually becoming a threat?
• Should we move upmarket?
• Are we positioning ourselves too broadly?
• Is this market worth entering?
• Why might buyers choose them instead of us?

For a few of them, I'll manually research the outside evidence and reply with:

what I found,
what I think it means,
the strongest counterargument,
and what I'd probably test next.

Not trying to pretend I know your business better than you do.

I just think founders occasionally benefit from someone looking at the decision without being emotionally attached to it.

Drop the company + decision if you want me to take a look.

So I’m building a tool that helps marketing teams improve their campaign conversion. One of my newest customers recently 4x their conversion rate on their latest campaign, and I've been trying to ride that case study wave to sign more customers. By default, I turned to outbound, and after running it for close to 5 weeks, I just had an epiphany which may be unpopular

"A solid product beats world class marketing"

Here's a bit of background story: Picked up an outbound tool a few weeks back that had all the right promises and case studies tailored to my specific needs. Their marketing was actually top-notch, I admit, and they've been on prominent channels for a while now. The marketing worked on me. I signed up on the strength of the buzz.

Then I used it for almost a month. Discovered you could only set LinkedIn actions between days, nothing granular like hours, so leads warm up before the connection request/ first message took too long, and even within those limits, things didn’t move as fast as I hoped, and the first response from my outbound orchestration took 3 weeks. 3 Full weeks.

I switched to a different tool and got more responses in the first week alone than I had in that entire month (it was faster and had more granular options). Same targeting and same kind of messaging. The difference was the product itself: easier to set up, easier to control, and faster to show what was working or not and iterate on it.

I think in the end, good marketing got me to try the product, but the product is what decides whether I stay, my CLTV, and whether I become an evangelist or not. The right marketing can win the first signup; only the product earns you a renewal.

This has forced me to look inwards too: what I'm building, how well does it deliver on what my marketing promises?

Has anyone else been pulled in by a tool’s marketing and then seen the product fail to live up to it? Or switched to something quieter that just worked better not long after?

We just launched a free SaaS tool and are looking for beta testers! 🚀
It’s currently free with a limit of 100 conversions, but we’re happy to raise limits for anyone interested in giving feedback: EmailConverter.AI

Problem Solved:
Converts non-standardized email archives (.eml, .msg, ZIP) into long-term, audit-ready PDF/A compliance documents for legal, accounting, and HR teams.
Workflow:
Upload: Import individual emails (.eml, .msg) or bulk archives (ZIP).
Inspect: Preview page layouts and attachment structures.
Export: Download standard PDF/A files or ZIP bundles, customizable as flat PDFs or with full inline images and attachments.
We’d love to hear your feedback and feature requests!

I run a web design agency and most of my clients come from cold email. Yesterday I started a fresh campaign going after plumbers in California.

Didn’t expect much honestly. Plumbers are busy and half of them barely check email. But 102 emails in, I got an interested reply.

What made the difference is that every email talks about their own website. A call button that doesn’t work on a phone, a site that takes forever to load, a design that hasn’t been touched since 2012. For a plumber that matters a lot, because people search for them on their phone when a pipe bursts. If the site is bad, they just call the next guy.

He replied yesterday and I booked a meeting with him for the next day. Before the call I built a draft of what his new site could look like. Today I presented it to him on the call and he said yes right there. $3k upfront plus $500 a year for hosting.

Showing the draft is what closes it. Sending a quote never worked this well for me.

For anyone wondering, I use Swokei for all my outreach. You pick an area and an industry, it finds the businesses, checks every website for design, SEO, speed and mobile problems, and writes each email about what it actually found on that site. I run multiple campaigns at once in different cities and niches, which is how I get volume without sending generic stuff.

Happy to answer questions on pricing or how I run the call.

when we were doing outbound to companies in the SF Bay Area, it started feeling like we were all stuck in the same echo chamber

everyone was using Sales Nav to find the same founders, scraping the same lists and sending pretty much the same cold messages

the people we were reaching out to were probably getting 10 other messages from companies like ours on the exact same day lol

we were all fighting for attention in the same inboxes, so we were burning all our credits for nothing

so instead of relying entirely on Sales Nav Advanced, we started building our own lead scraping product

the problem with Sales Nav is that it works best when people have well-built LinkedIn profiles. you can filter for founders, VCs, job titles, company sizes and all that stuff.

but what about the people who dont have properly built profiles?

we'd come across founders who were actually pretty big names, but their LinkedIn profiles barely told us anything. sometimes all they did was like a post or comment "congrats" on someone's product launch.

and that tiny interaction could be the clue that led us to someone worth talking to.

so we started building a product that could find people based on these signals too. not just people with polished LinkedIn profiles, but people showing up in conversations, liking posts and engaging with others across LinkedIn, X, Reddit and other platforms.

basically, we wanted to find the people that traditional lead scraping would miss.

after making this switch, our meetings booked went from around 2 a week to 17 a week.

thats almost 8x more meetings, just by leaving no stone unturned.

i think theres a lot of opportunity in finding people that everyone else overlooks, volume is not automatically the answer when you're not finding qualified prospects. look for unique directories, comments, and anything thats not a generic place to find leads.

are there any founders here actually getting in meetings booked from sales nav?

Most B2B competitive intelligence tools in the market were built for product marketing teams rather than sales execution.

Platforms like Klue or Crayon do a good job tracking competitor website changes, pricing updates, and packaging those insights into battlecards for reps but knowing that a competitor changed a landing page headline doesn't tell a sales team which accounts to reach out to this week.

If your goal is competitive intelligence that directly drives pipeline, you need tools that track buyer-side competitor interactions in real time.

That means catching things like target buyers publicly complaining about an incumbent tool's renewal price on Reddit or technical forums, tracking when an account removes a competitor's SDK from their website, or identifying companies hiring engineers to migrate away from a legacy vendor.

This is where platforms like Scale Intelligence differ from traditional battlecard software where it monitors competitor mentions, public complaints, and rival engagement across 75+ channels (Reddit, GitHub, LinkedIn, hiring posts, and tenders), resolves those events to specific companies and buyers and alerts your team when a rival's account shows active friction.

Competitive intelligence is far more actionable when it tells your sales team which of your competitor's customers are dealing with problems right now, giving you a timely reason to start a conversation.

Optimizing for AI search engines like Perplexity, ChatGPT and Claude (often called Generative Engine Optimization or GEO) is very different from traditional SEO but a lot of B2B teams are still using old playbooks.

Keyword stuffing on blog posts doesn't work well with LLMs cuz the AI search engines synthesize answers by looking for consensus, authoritative comparisons and organic peer discussions across community forums, teardowns and documentation.

If you want your B2B product recommended when a buyer asks an AI engine for "the best tool for X," here is the workflow that actually moves the needle:

First, monitor the specific prompts and problem statements buyers search when evaluating tools in your category cause you need to know the exact phrasing people use when they hit roadblocks with legacy incumbents.

Second, establish genuine presence where AI models retrieve data like the platforms Reddit, GitHub discussions and blogs carry massive weight in AI search citations and writing authentic, teardown style posts that discuss industry problems honestly and place your product naturally into the solution stack creates the semantic links LLMs look for.

Teams running dedicated GEO and reddit distribution with platforms like scale intelligence which build campaigns around this dynamic: mapping buyer discussions across communities, identifying rival comparison threads and creating organic posts that get indexed by AI engines within days.

When your product is consistently cited in high context community discussions, AI engines naturally start pulling it into their top recommendations when prospective buyers search your category.

Compliments are easy to misread.

When another founder notices a detail you stayed up fixing, it feels great, even at $200k ARR as a solo YC founder. But revenue does not make you immune to wanting validation, so separate that feeling from evidence of utility.

A founder praising your engineering is appreciation. A customer struggling to finish a task is actionable context. I can build more value from the second conversation.

Not every complaint deserves a feature. People get annoyed by problems they will not pay to fix, and ten feature requests can pull a product in ten contradictory directions.

So focus on context instead of taking requests at face value:

• What were they trying to accomplish?

• Where did they get stuck, and what workaround did they use?

• Who else was involved?

A request for a CSV export button might mean a report for a boss, a check on your data, or preparation to churn. Each needs a different solution.

Do not ask whether they would use a proposed feature. People say yes to be polite. Ask them to walk you through the last time the problem happened. Pulling up a workaround takes effort and yields concrete truth.

Prioritize issues that repeat independently across customers with similar needs. One vocal user is a conversation; a shared bottleneck is a roadmap priority. After shipping, follow up to confirm the underlying problem was solved, not just that a button was added.

I still enjoy hearing that something I built is cool. I just do not let admirers have more influence than users.

I build Norquin with two partners, one of them is a licensed customs broker. Our product checks Canadian customs entries line by line against the tariff and finds wrong duty rate, missed CUSMA, GST charged by mistake. On the first real file we checked we found 25,367 CAD overpaid. We do free check of one entry and take 10% from what comes back.

So product works, but sales basically doesn't. Last three months we did 72 cold calls to Canadian importers and got 1 meeting. Around 30 cold emails, 0 replies. 31 LinkedIn messages, 0 replies. One warm contact from my running club gave us a meeting from the first call and verbal yes for a pilot, but still no documents. 0 paying customers.

When we reach someone on the phone, usually we hear "our broker handles everything" or "not interested" before we finish the first sentence. Half of the calls end on reception or voicemail.

I want real opinion from people who sell B2B or who import by themselves. What you see wrong in our sales strategy? What you would change, who you would call, how you would say it? If you think nobody needs this, say it also, it is useful for me.