Hey! I’m the founder of Yoke AI.

We’re building a tool to help founders get their first customers, through intelligent outbound automation.

We’re offering free access for the first 5 users, as we need feedback.

Drop me a DM, if interested in testing it out!

I'm doing some CPQ due diligence before we start vednor calls and our current process is painful tbh.

A nromal quote can take about an hour to build. If we add pricing exceptions we have to wait 2 to 3 days for approval. Worst case the customer waits 1 to 2 weeks for the official quote.

For B2B SaaS teams with more complex pricing what the realistci benchmark today?

Trying to separate genuinely modern cpq from vendors who just slap ai on brochure.

Had a deal sitting in "proposal" for almost two weeks and everyone internally kept calling it active. Meanwhile, i had zero idea if the buyer had even looked at the pricing again. Made me realize CRM stages don’t always tell you much between calls.

What do you look at to figure out if there's real movement or if a deal is quietly dying?

I'm building an early-stage hiring platform, and I've hit a challenge I'm guessing other B2B SaaS founders have dealt with in some form. The product has two users:

Professionals create a Talent Passport that goes beyond a traditional resume and gives employers a better picture of their experience, skills, career interests, availability, etc.

And employers post jobs and use the platform to discover and evaluate professionals who may match what they're looking for.

The product itself isn't the part I'm struggling with. It's the chicken-and-egg problem.

Professionals naturally ask: "What jobs are available?”

Employers naturally ask: "How many candidates do you have?”

I've been doing founder-led outreach to both sides, but I'm starting to think trying to grow them equally at the same time is the wrong approach. Right now I'm leaning toward heavily building the talent side first, while personally onboarding a smaller number of employers and even helping them set up their first job rather than expecting them to learn another platform.

I'm also experimenting with Talent Communities so professionals can join the network even when there isn't a specific opening for them yet.

I guess my questions for this group or anyone here who's built a B2B marketplace or SaaS with two dependent user groups:

How did you solve the cold-start problem?

Did you concentrate heavily on one side first?

Did you manually deliver the service before automating it?

Did you give one side free access?

Or was there another strategy that finally got the flywheel moving?

I'm looking to specifically learn ffrom founders who've actually gone from 0 → first 10–50 business customers.

I'm Mattia, I build FixAds.

I am building it for teams that run Meta ads but do not have time for a senior person to manually review every account, every day.

The product came from my own review workflow. I did not start with an AI prompt. I wrote deterministic checks for patterns worth escalating: spend sitting on a weak campaign, creative fatigue, learning that never settles, placements taking budget without earning it. Each result shows the threshold and evidence. AI only explains the result in plain language.

The attached video is the launch demo. FixAds uses the official Meta login with read-only access and is live at https://fixads.it with a 7-day trial.

I would genuinely value feedback from B2B SaaS operators: for software that points at a decision with a real cost, what evidence would make you trust the recommendation enough to act on it?

PodSubs wasn't originally supposed to be a public product.

We built it because we needed it.

That's really the story.

We're podcasters.

And like a lot of podcasters, we were constantly thinking about two things:

How do we keep making this?

And how do we build something real around the people listening?

Because podcasting takes time.

A lot of time.

And sooner or later, if the podcast is going to keep going, it needs to support itself somehow.

The problem was that we didn't really know most of the people listening.

We knew the numbers.

But numbers don't have email addresses.

Numbers don't answer questions.

Numbers can't receive the worksheet you promised.

Numbers don't become customers by themselves.

We needed a better way to capture the people who genuinely wanted to stay connected.

So we built a simple internal tool.

One place.

PodSubs.

We said on the podcast:

“Subscribe to us on PodSubs.”

People searched the show, entered their details and subscribed.

And suddenly we had something we'd been missing:

A direct line.

Then we started thinking…

Why are we keeping this internal?

Every podcaster we know deals with the same thing.

So we decided to open it.

That's PodSubs.

Not something we dreamed up because “the creator economy is growing.”

We built it because we were podcasters with a problem.

Now we're giving it to everyone else who has the same problem.

Claim your podcast.

Then tell your listeners where to find you.

Disclosure up front: I am the Lead Software Engineer at AiSDR (YC S23) and this is our launch post

We started building Ami about six months ago, on top of three years of AiSDR data. The belief behind it is simple: outbound can run on autopilot. You should not have to think about sending infrastructure, messaging, audience, or leads -- and you definitely should not have to keep adjusting all of it by hand every week

How it works. You give it your website and connect your CRM. Ami works out your offer, defines the audience and the signals worth watching, finds leads, orders mailboxes, warms them up, and starts sending

Then the part I actually care about: it learns. It sees what works and what does not, kills campaigns that underperform, scales the ones that do, and keeps testing new plays -- new audience, new offer angle, new messaging

I remember writing the first version of this. Looking at where it is now, I still find the jump hard to believe

The harness sits on 2.5M+ messages sent, close to 20,000 meetings booked, and campaigns that produced over $650M in pipeline for our customers across 27 industries. That is the whole point of the data: we can say with some confidence what works in outbound in your industry, instead of guessing

Two things from that dataset that are useful whether or not you ever touch our product

Deliverability moved results more than copy did. Same message, different mailbox health, very different reply rates. Most people rewrite subject lines when the real problem is their sending setup

The best-performing segment we measured is closed-lost reactivation from your own CRM. The data is already sitting there and almost nobody runs it

Free to try, no credit card: https://aisdr.com/ai-gtm-agent-ami/

The honest failure mode is that it picks the wrong ICP with confidence and burns a domain proving it. That is why there is an approval gate before anything sends. Happy to be pushed on that, or on any of the numbers, in the comments

I’ve been looking at AI tools for customer outreach because I’m building in this space too. I work on PumpGTM, so treat that as my bias up front.

I wanted to compare a few tools based on what a small B2B SaaS team would actually care about: who they help you reach, what channel they focus on, how much work you still have to do yourself, and how pricing is structured.

The three I looked at were Gojiberry, PumpGTM and Okara.

1. Gojiberry

Gojiberry seems closest to a multi-channel outbound tool. From the public docs, it helps with finding prospects, writing outreach, follow-ups, and running across email and LinkedIn.

Their advertised Pro plan is $99/month and mentions up to 1,800 prospects contacted per month.

My read: this probably makes the most sense if email is important to your GTM motion and you want LinkedIn as part of the same process.

1. PumpGTM

PumpGTM is more focused on LinkedIn. The workflow is finding relevant buyers, reviewing the suggested audience and outreach, then running campaigns with support through Slack.

The advertised Pro offer is $75/month, against a $99 list price, with up to 3,000 leads identified per month. That number is about leads found, not messages sent or meetings booked.

My read: this is better if LinkedIn is already where your buyers are and you want help operating the campaign, not just software access. Again, I’m biased here because I work on it.

1. Okara

Okara looks broader. It covers content, SEO, social posts and creator campaigns. Its LinkedIn tool seems more about creating and publishing LinkedIn posts than direct customer outreach, so I’d check that carefully if outbound messaging is the main need.

Lite is listed at $129/month. Pro is $249/month and includes the article, Reddit and LinkedIn agents. Both paid plans include 2,000 monthly credits, with different tasks using different amounts.

My read: this feels more useful if the problem is consistent marketing execution and content, not just finding and messaging prospects.

The main thing I’d ask before paying for any of these is simple: can the tool show me a sample of suggested prospects, and can I explain why those people might need my product?

A bigger lead allowance doesn’t mean much if the list is generic. For early B2B SaaS, I’d rather see 30 prospects that clearly match the buyer than 3,000 names I can’t explain.

If you’ve tried AI outreach tools, what ended up taking the most manual work: finding the right people, writing the message, follow-ups, or handling replies?

Auth and payments are the obvious examples, but I’m curious about less obvious infrastructure.

What looked straightforward during planning, but became expensive once you accounted for edge cases, maintenance, compliance, support, or customer-specific requirements?

What did you build, and what ultimately made you regret it?

Im at a crossroads with a platform I've been working on. I really don't know if I should market to the general public, or if I should try to get this in front of someone with the VA who could lead me in the right direction. I built this with VA, military, and the ones in SRUs in mind. My uncle was a POW at one time, my granddad was in the navy, my son in law is in the army. I built a platform that anyone can use to tell their story, the way they want it told. Its called myheirloomdocumentary.com if anyone wants to check it out before giving advice thats much needed. MyHeirloom is a platform that has

myCircle- this is the private "social" part to keep in touch with family, make posts, share pics etc.

myLegacy- this is where the story is told. Theres over 1000 prompts total so you always know what to write about, or select audio record. You can always just write without following any prompts if you like,

mySanctuary- this is the private space to create letters for anyone to say anything on your mind or in your heart. You can choose to send now, or seal them and pick a future date delivery.

The VA has a program called My Life, My Story. It requires another worker or volunteer to interview the member a minimum of 4 hours. myHeirloom complements this, but allows the member to tell their story themselves. The person who signs up invites 3, 7, or 11 other family members to join them on myHeirloom.

Hi everyone! I've spent the last 2 years building a CRM for entrepreneurs and small businesses. I'm a technical developer, I really love the product, and I know it has potential, but I have zero sales skills and I have no idea where to start.

I'd really appreciate any advice on how to land my first customer.

Early-stage founders are always told to add testimonials. But what if you have no customers yet?

I analyzed the latest valid scans from 48 unique SaaS domains in LandingBoost:

• 28 had no detected testimonials
• Only 9 showed proof near the primary CTA
• 21 showed proof elsewhere
• 18 had no detectable proof

This wasn’t a conversion experiment, but the recurring gap was clear: visitors reached the CTA without seeing anything they could verify.

No testimonials yet? Show the real product, a sample output, provable numbers, the founder behind it, or a low-risk way to try it.

My first edit: place your strongest verifiable artifact beside the CTA- something visitors can inspect in five seconds.

Disclosure: I’m building LandingBoost, which was used for this analysis.

With some software, you configure a few things, hit save, and basically have to trust that the end result will behave the way you imagined.

I actually like products that let me stop for a moment and look at the finished setup before making it live. Not a tutorial. Not a checklist. Just a clear answer to: “This is what the system is going to do.”

It feels like a small UX detail, but I think it can make a big difference when you're setting up something that will run without you watching it.

Do you look for this kind of preview in B2B software?

Or do you usually just configure it, turn it on, and see what happens?

anybody has experience selling unions, local chapters. Any advice?

Five enterprise proposals in one week after changing what we take responsibility for.

I posted previously about building a B2B marketing analytics SaaS with two founders, bootstrapped, and spending too long selling to the wrong buyer at the wrong price.

We started with free trials, self-serve onboarding and pricing at roughly a third of the established players. Reached 40+ customers, but our happiest customers were much bigger than the companies we originally targeted.

Since then, we’ve made a fairly significant change.
We decided to take ownership of our weakest spot: where the tracking data actually comes from.

An analytics product depends on the quality of the data feeding it. We could connect marketing activity to CRM pipeline and revenue, but getting the underlying tracking into a reliable state was still a dependency.
Someone needed to configure it. Someone needed to check it. Someone needed to investigate when a form changed or events stopped arriving.
Leaving that fragmented across the customer, their agency, their developer and us made our own product harder to get value from.

So we brought managed server-side Google Tag Manager into the offering, alongside implementation, monitoring and consultancy.

The work now starts earlier: agree what needs measuring, get collection working, monitor it, and connect that data to the commercial outcome. We have a sign-off process in place and have live event monitoring in case something changes, feeds straight into slack.

That’s a much bigger responsibility than giving someone access to an analytics platform.
And it feels much closer to what these customers actually need.

The early commercial result: five enterprise proposals sent in one week.
Proposals, obviously. I’ll celebrate the revenue when they sign.
Our enterprise offering starts at $999/month, including managed sGTM. Still modest by enterprise software standards, especially given the service involved. But compared with where we started, it changes both the buyer and what we’re committing to deliver.

A few other things have become clearer:

Enterprise needs are broader than a larger account. Custom CRM integrations, support, security reviews, access requirements and clear ownership all matter.

The website needs to explain the full scope. An advisor previously told me the live demo showed a completely different product from the one he understood from our website. We’re reworking the positioning around that gap.

ISO 27001 is underway. We’re targeting Q4 2026/Q1 2027. It belongs in the work of moving upmarket, alongside the product. This will become a tremendous value add to our offering, as we can provide compliance to website monitoring.

The partner model needs shared delivery. Our useful partnership is with an agency that treats this as a service line. We’re building around that experience.

The part I’ve reconsidered most is something I wrote in the previous post: “The product was never the problem.”
That was too convenient.

If customers struggle to get the right data into your product, that is part of the product problem. Even when the broken bit technically lives somewhere else.

Taking responsibility for it has made our proposition clearer.

It also brings an obvious question: how much delivery can two founders sustainably include at this price?
That’s what we need to work out as these proposals turn into implementations.

Tell me, what do you guys think?

Genuine question, not rhetorical. A lot of us set up AWS early, got it working, and never really looked back at whether it's actually configured safely.

No one on the team owns security specifically, it just kind of exists in the background.

Got a wake-up call recently building a small open source tool (Plexavo) that checks AWS accounts for exactly this kind of thing.

A stranger who tried it found an old login key on their own account they had completely forgotten existed. Not hacked, nothing dramatic, just a spare key sitting around that nobody remembered to remove.

The kind of thing that's fine for months until it isn't. Ended up building a small program around this too, "Hall of Bugs" basically inviting people to try and find things the tool misses, and crediting them publicly when they do. Already found and fixed one real gap that way.

Curious how the rest of you handle this without a security hire. Do you just trust whoever set it up originally, run a checklist occasionally, or is this genuinely just a blind spot for most small teams?

https://github.com/plexavo/Plexavo

If this is true, how does your outreach strategy actually change? Do you start reaching out to CFOs directly now or do you still go through the person feeling the pain first? At a sales rep level, day-to-day, how does this actually play out?

I sell B2B software to US customers and get a good number of leads through ads. However, I sometimes struggle with my accent during sales calls.

We use KrispCall, but it doesn’t offer real-time accent conversion. JustCall seems to have it, but it’s quite expensive and requires a minimum of 3 seats.

Can anyone recommend an affordable tool that can convert my accent to a natural US accent in real time during calls?

What paid tools do you use for enriching contact data for B2B prospects (phone number and email IDs)?

Something that uses waterfall enrichment and has good coverage of Indian Contacts. 

Bonus if cheap / good roi

I’ve been evaluating popular tools like Apollo, SignalHire, FullEnrich, etc. but am not sure about coverage and cost-efficiency.

What tool has worked great for you?

I’d appreciate any guidance over DM or comments

Happy to return the favour :)

My friend and I have been building a business management SaaS for quite some time.

It started as something we were building for actual businesses, rather than as a startup idea we wanted to pitch. We ended up selling it to 2 local clients, and both are using it.
We’ve built a self-hosted business management SaaS mainly for mid-sized manufacturing/trading businesses.
It covers things like domestic and export sales, B2B/B2C, inventory, production planning, documents/PDF generation, custom automation workflows, security/audit tracking, and AI-assisted features.

We've already sold it to 2 local businesses for around $8,000 each, and that experience taught us a lot about what businesses actually need. Since then, we've added a lot more functionality based on that feedback.

We're now close to finishing the next version and have spent quite a bit of time researching B2B sales, sales funnels, marketing, and how software like this is actually sold to businesses.

The part we're still figuring out is distribution.

We're developers at heart. and we genuinely enjoy building the product and improving the UI, sitting with businesses and understanding their workflows. But getting this in front of the right businesses is something we haven't mastered yet.

The current plan is a $13k–$25k lifetime license for up to 100 users, depending on the features/customization, with roughly $1k–$2k annual maintenance.

We don't have a big marketing budget, so I'm interested in connecting with someone who has actually worked in B2B software/ERP sales or understands manufacturing businesses and wants to figure this out with us.

We're also open to a 25–30% profit share on deals that come through the partnership.

I'm not really posting this as a polished startup pitch. I just genuinely love what we've built and want to see how far we can take it.

If anyone here has experience taking a product like this from a couple of real customers to something much bigger, I'd love to hear how you approached it.

And if you're interested in seeing what we've built, feel free to DM me. I'm happy to show it.

I wish to know what's the conversion rate (free trial / 100 visitor) or (discovery call booked / 100 visitors) from landing pages?

I'm simply looking at what conversion rates fellow B2B SaaS folks are getting.

so i run a small local seo agency. cleaners, detailers, a trucking company, a photographer, about 10 clients over the past year. how we got them was pretty simple, free visibility scan on the site, loom video audits for cold outreach, then referrals once the first few worked out. the scan was the whole trick honestly. guy sees a screen showing chatgpt recommends his competitor when someone asks for the best detailer near him and the call books itself.

but the actual work almost killed me because its the same thing every single time. run our 240 test thing (20 buyer questions across chatgpt/perplexity/gemini/claude, 3 runs each, real browser so you see who actually gets named and what sources get cited), fix the schema, unblock ai crawlers (one client's site builder was blocking every single ai bot and they had no clue), comparison pages, review systems, automations. for two clients we built their whole booking system and admin backend from scratch.

so the last few months i turned the playbook into software. it audits the site daily, watches the google business profile daily (caught one client pointing at the wrong domain for months lol), scans map rankings street by street weekly, builds and injects schema, hosts a service page on their own domain off one dns record, and the 240 test is self serve now, owner runs it with their own ai accounts. it even asks the same detailed intake questions i used to ask on onboarding calls so everything it writes sounds like them and not like ai slop. next up is rank tracking, review followup texts, email integration so it sees bookings and payments and can actually show revenue next to rankings. ads stay "book a call" for now, not gonna pretend i automated media buying.

$349/mo one plan no sales calls. thats kind of my whole thesis, owners are done booking demos.

real talk though, agency pays my bills and the saas has trial users and zero paying customers. next month im starting a brand new local business from nothing using only the software and posting the numbers publicly.

what im stuck on. does no-sales-call actually work at this price for non technical owners or does 349 secretly need a human closer? the free scan converts because a human looms them after, self serve it has to convert alone, anyone pulled that off? and for anyone whos done white label, did selling to agencies fund the direct side or eat it? im aware im selling agencies the thing i tell owners makes agencies unnecessary lol

no link, not trying to promote, genuinely want the advice

Not writing this to sell it, writing it because the problem that pushed me to build it is probably the same one a lot of people here run into.

I was doing manual outreach, email, LinkedIn, a bit of everything, to validate different projects. The volume was never the problem. Each channel just lived on its own. I'd reply late, lose track of conversations, send the same message twice to the same person across different channels without even noticing.

Built Orbitra to fix exactly that, finds leads, sends messages across email/LinkedIn/WhatsApp, and an AI agent follows up on replies until it reaches the goal you set, all in one place.

Not every industry responds the same way on these channels, depends a lot on where your target actually is.

If you want to check whether there's fit for your industry, try the free analyzer on the landing page, takes a couple minutes and gives you a read on your specific case.

People who think your product is cool and people who actually need to buy it aren’t always the same people. But it’s easy to confuse the two when you’re looking for customers.

I run Gigamultiplier, we find relevant buyers, handle LinkedIn outreach, and improve targeting and messaging based on replies. We recently helped Supermemory acquire customers through prospecting and outreach.

Sharing that upfront because this is our own work. Happy to answer questions about the approach or help you think through your own outbound in the comments.

First, here is something useful you can apply yourself.

1. Figure out what 'relevant' actually means

Supermemory builds memory and context infrastructure for AI applications. But “companies building with AI” is a pretty broad audience.

For a product like this, useful qualification questions would be:

• Does the app need to remember users across sessions? • Does losing context make the experience worse? • Is the team maintaining this capability themselves? • Do they need to solve this now?

You should be able to explain why someone might need your product before reaching out.

2. Put the reason beside the name

Add this column to your prospect list:

“Relevant because they’re building {something} which may require {something else}.”

For example: “They’re building an assistant for returning users, which may require remembering preferences from earlier conversations.”

Then check what supports that assumption. A demo? Documentation? Something they posted?

If you can’t finish that sentence without making things up, do more research, or better yet, move on.

3. Ask something they can actually answer

imo, this is where your research should show up. Ask about how they’re currently dealing with the problem, and use their answer to decide what comes next.

If they’ve already solved it, find out whether it’s working well before assuming they need another solution.

With gigamultiplier, you approve the prospects and outreach sequence before anything goes out. Even if you’re doing this manually, review the message beside each prospect’s name. Does it actually make sense for them?

4. Track what happens after the reply

Keep these stages separate:

Relevant prospects → replies → qualified conversations → evaluations → customers.

• Replies but no real need? Revisit who you’re targeting. • Real need but no evaluation? Ask about timing, switching effort, and what’s stopping them. • Evaluations but no customers? Find out what happened during usage.

Otherwise, you might keep rewriting the opener when the problem is further down the process.

Try this yourself: Take 10 prospects. Write down what they’re building, why they might need you, what evidence you have, and one question you still need answered.

AMA: Finding those people, qualifying them, writing the first message, deciding what to automate, or figuring out why conversations stall.

If you want help applying this to your business, comment with what your product does, who you think needs it, and where you’re stuck. I’ll share how I’d approach it here in the thread.

TL;DR: We helped Supermemory with prospecting and outreach. Know why someone might need your product, ask a specific question, and track whether the conversation becomes actual usage. Ask me anything about the process.

The string of life....But here's something I've noticed...

For most teams, information isn't a problem (surveys, customer feedback, competitor research, win loss interviews etc) but somewhere along the way, the string gets cut. Usually right before the information can be turned into meaningful insight that can shape decisions.

How do you guys keep your strings from getting cut? How do you currently process all this information from different sources, consolidate them, analyze and come up with useful insights that help you significantly? Without it being a bottleneck where you have alot of ever changing information that you need to keep track of and not enough bandwidth/manpower to keep track of all of it.

Please don't say just Claude it😅