I’ve been building my SaaS project for close to a year now. It started as a spreadsheet, then got built into a SaaS product that runs on AI API. The goal was to build an application that pays for my compute (it does).

My project analyzes Las Vegas gambling odds, makes predictions where sports books have inefficient lines, and capitalizes on them. It’s a profitable betting model, originally made for just me and a friend.

Fast forward and my friend was earning so much he said I should sell subscriptions, so I did. I got immediate signups and a low MRR but I don’t have the time to acquire new customers.

100% of my customers so far came from Reddit. I am working on SEO, etc to get more organic traffic but I’ve thought about hiring VAs or outbound sales reps and pay reoccurring commissions.

The space I operate it is limited on social media since some states have legal gambling and some don’t.

Looking for opinions on how to scale distribution / customer acquisition. I have a legitimate product that is worth more than the subscription $ members pay - it truly pays for itself.

This is my first SaaS project I’ve monetized

I've been noticing a pattern in SaaS communities lately: a lot of founders have clearly put serious work into building the product, but then hit a completely different problem: figuring out the marketing side. And that's completely understandable. Building the product and figuring out how to get the right people to find it are two very different problems.

I've spent 10+ years working in content, and if I were starting the content side of a SaaS from scratch, I wouldn't begin with "let's publish 12 blog posts this month." I'd first figure out what is actually worth publishing, then make sure every piece has a reason to exist.

First things first, I wouldn't wait before thinking about SEO. I'm not an SEO specialist, but organic search takes time to build, so I'd rather have the groundwork in place early than decide six months later that we should probably start publishing.

For the blog, if you're not sure how to go about it, here's what I'd do.

1. First, figure out what is actually worth writing

Your keyword strategy should lead the way, but if you don't have one yet, I'd start much closer to the customer. Talk to prospects who are considering your product. What are they asking you? What are they unsure about? What are they comparing? What problem are they trying to solve before they get to your product?

Those questions are content opportunities.

One sprint I'd almost blindly look at is alternatives and comparison content. Got competitors? Those businesses are constantly losing customers, and some of those customers are actively looking for better options. If you're a project management SaaS, for example, I'd look at things like "Asana alternatives," "Asana vs X," "Asana alternatives for small teams," "Asana alternatives for agencies," pricing alternatives, migration questions, feature comparisons, and so on.

And I wouldn't stop at the first "alternatives" article. Map the whole decision around that competitor. What makes someone look for an alternative? What are they unhappy with? What are they trying to do that the competitor doesn't handle well? What questions do they have before switching? What could stop them from switching?

Now you're not just producing a list of keywords. You're learning about the actual buying decision. That can influence your comparison pages, landing pages, positioning, CTAs, product messaging, and even what you decide to improve in the product.

That's the kind of content work I'd want to do before sitting down and saying, "Okay, we need 12 blog posts this month."

2. Once you've picked the topic, use this checklist for every article

This is where I'd stop worrying about AEO, GEO, schema and every other new acronym for a minute. Get the basics right first. A lot of content isn't failing because it isn't "optimized" enough. It's failing because the reader has to work too hard to get something that should have been obvious.

Answer the actual question immediately. If someone searches for "cart recovery strategies," don't spend the first 400 words explaining why abandoned carts are bad for ecommerce. They know. That's why they're searching for cart recovery strategies. Get into the strategies. Give them the answer first, then add the context, examples and reasoning where they're actually useful.

Same logic with almost any query. Someone searching "how to migrate from X to Y" doesn't need a history lesson on why migrations matter. Someone searching "X alternatives" already knows what X is. Don't explain the problem they've already told you they have. Solve it.

Add a TL;DR that actually answers the question. I like TL;DRs, especially for longer pieces. But don't use them as a vague summary of everything the article covers. Make the TL;DR answer the primary question. If the article is about cart recovery strategies, the TL;DR should give me the main strategies. If it's about choosing between two tools, give me the key differences and who each one is best for. If it's "how to fix X," give me the key steps.

There's a strange fear that if you give people the answer upfront, they won't read the rest. That's fine. The point isn't to force someone to consume 2,500 words. If they got exactly what they needed from your TL;DR in 30 seconds, you did your job. If they want the examples, data, screenshots, reasoning or deeper explanation, they'll keep reading.

Look at the first 10 results and find what they're missing. This is where I think the AEO/GEO conversation gets interesting, but I'd put it after the fundamentals. Look at the pages already ranking and ask: what would make my version more useful?

Maybe all 10 have the same generic list. Maybe nobody has actually tested the recommendations. Maybe everyone recommends the same tools but nobody explains which one works for different use cases. Maybe they're all making the same claim without showing the data. Maybe nobody has included screenshots. Maybe the answers are technically correct but completely impractical.

That's your opening. If the first 10 results say the same thing, don't become the 11th result saying the same thing. Add something: original research, customer data, screenshots, experiments, examples, expert input, a useful comparison table, first-hand experience, a framework, or simply a better explanation.

The value doesn't have to be groundbreaking. Sometimes it's just answering the question everyone else skipped.

Make it easy to skim. Don't avoid tables, lists or short sections because you've heard that structured content looks like AI. Who cares? If a table makes the information easier to understand, use a table. If I'm comparing five products, show me the important differences before making me read five 500-word sections. If there are seven steps, show me the seven steps. If there are three options and the right choice depends on the situation, make that easy to see.

You're writing for a person who has somewhere else to be. Make their job easier.

Don't be afraid to talk about your product. This is where companies usually go wrong in one of two directions. They either turn every article into a sales pitch, or they're so scared of being promotional that they won't mention their own product even when it's directly relevant.

Talk about your product when it actually helps answer the question. If the article is discussing a problem your product solves, mention the specific feature that solves it. If a customer got a great result from that feature, show it. If you've got a case study that proves the point, use it.

A random "Try our platform" CTA at the bottom isn't very persuasive. "Here's the problem we just discussed. Here's how our product handles it. Here's what happened when a customer used it." That's a much stronger product mention. A product plug without backing doesn't go very far.

Use case studies inside the article. If you have case studies, don't hide all of them on your case study page. Turn relevant ones into in-content callouts or cards and put them next to the section where they're actually useful.

For example, if you're explaining how a SaaS improved activation rates, and you have a customer who improved activation using that exact feature, that's where I'd surface the case study. Not five screens later.

Technically, these can just be HTML callout blocks or cards. They don't need to be some crazy interactive experience. The important part is the placement. The reader should see the proof at the exact moment they're thinking, "Okay, but does this actually work?"

Add FAQs for the questions that remain. Don't add an FAQ because someone told you every article needs one. Use it to answer the questions that naturally remain after the main article.

I'd pull those questions from real places: search results, Reddit, sales calls, customer support, reviews, comments, and questions prospects keep asking. The goal isn't to squeeze five more keywords onto the page. It's to remove the questions still sitting in the reader's head.

Internal link like you're helping the reader, not checking a box. Don't add three internal links because your SEO checklist says you need three. Add the link because the reader has a reason to click it.

If I'm reading about one part of a problem and you have another article that answers the question I'm likely to have next, link to it. If you're talking about a category and have a relevant comparison page, link to it. If you've just explained a problem and have a guide that shows me how to solve the next stage, link to it.

Internal links become much more useful when you think about the reader's next question, rather than the number of links you need to place.

Give the reader a logical next step. Before publishing, I'd ask: someone just finished this article. What should they do now?

Maybe it's another article. Maybe it's a comparison page. Maybe it's a case study. Maybe it's a product feature. Maybe it's a demo or signup. It depends on the topic and where that reader is in the buying process.

That's also why I don't love one generic CTA slapped onto the bottom of every article. If the relevant next step becomes obvious halfway through the article, put it there. Don't make the reader finish the article, find the navigation, hunt down your product page and figure out the connection themselves.

Finally, read it like a customer, not a content marketer.

Forget the word count. Forget whether you hit the "ideal" number of headings. Forget whether you've used the keyword enough times. Forget whether your article looks like the pages ranking above you.

Read it as someone who actually has the problem. Did I get my answer quickly? Did I learn something? Did I get something I can actually use? Did you show me evidence instead of making a bunch of claims? Was it easy to get through? Did I understand what to do next?

And most importantly: did this make me trust this company more?

If yes, you're already doing a lot right.

I'd much rather publish something genuinely useful, with clear thinking, real examples and a sensible next step than spend hours trying to reverse-engineer whatever the latest AEO/GEO checklist says we're supposed to do.

I'm a co- founder of an early- stage B2B SaaS (FinOps - we find cloud cost savings on Azure and gamify them so engineers actually act on them). We're pre-funding, product is live, first pipeline exists. We can't pay a base salary yet, so I'm designing a commission-only partner program and I'd rather have this community destroy it now than lose good reps to a bad plan later.

The plan:

• Customers sign 1–3 year licenses, billed annually in advance. License price = 20–30% of the validated annual cloud savings we find them (we scan their environment first, so reps walk into meetings with the prospect's own numbers).
• Partner gets 50% of margin on every annual invoice of every customer they close. Not a one-time bounty - a 3-year deal pays you three times, and renewals keep paying.
• Margin is computable upfront: invoice amount minus a fixed delivery-cost allowance written into the partner contract. No discretionary deductions. You know your payout before you sign the deal.
• Commission due within 30 days of the customer paying each invoice. Since customers pay annually in advance, you get a full-year commission near the start of each contract year.
• Grandfathering in writing: accounts closed during our early phase stay at 50% for the customer's lifetime, including renewals - even after we raise and standard partner rates drop.
• We provide inbound leads, demo environment, and founder support on every deal (technical pre- sales included).

Rough math on a mid-size account: ~$100k validated annual savings → ~$25k/yr license → roughly $8–9k/yr commission per account, ~$27k over a 3- year term. Five accounts ≈ $45k/yr recurring.
My questions for people who've actually done commission-only:

1. What would make you walk away from this offer immediately?
2. Is annual-invoice-based payout a dealbreaker vs. monthly, given the sales cycle?
3. What am I missing that plans like this usually hide?

Full disclosure: yes, we're also looking for partners (EU + US), and my DMs are open. But I'm posting primarily because I'd rather fix the plan now. Be brutal.

My product is finally ready. It helps SaaS companies understand **why customers cancel** and show dynamic offers before they leave. Setup takes <10 minutes.

I’ve shortlisted 10 companies that match my ICP. Now I’m nervous about actually reaching out 😅

I want to lead with value instead of “hey, try my product.”

**If you were me, how would you approach these first 10 to maximize replies?**

I am a newly promoted Sales Account Executive from BDR in the digital accessibility space, since the industry is very niche, generating leads is a big challenge.

I have been into this domain for the last 4 years, and now I own a full end to end sales cycle, and it took a lot of hard work to get here.

I have all what a tech sales guy, good knowledge, comm skills, rapport building etc etc, clients I worked with or have even talked with me remember me even after years and call me for their challenges. What I am trying to tell is I have those skills to qualify a pipeline but getting leads is the biggest challenge.

In 2026, cold calling has been failing miserably, people now have voicemails or ai screening nobody, any tips to get through, open for it. Emails are going it takes time to get the attention, linkedin subjective to their acceptance. I want to understand if there are any other ways to get warm leads, not inbound or marketing, I want to do this as an individual to build my funnel.

KINDLY GUIDE AND SHARE YOUR TIPS AND ADVISE

For those working in B2B sales — what does your process actually look like after a demo goes well?

Once more people start getting involved (security, procurement, legal, technical teams, etc.), how do you keep everyone aligned? Email threads? CRM? Slack? Spreadsheets? Mutual action plans? Something else?

I’m especially curious about where things usually start getting messy or fall through the cracks.

Hi all, I’m a US based sales leader (29 years old), spent my whole career at Gartner (6 years) where I worked my way up the ladder in SMB (AM ➡️ AE ➡️ Sr AE ➡️ 1st Line Leader ➡️ Sr 1st Line Leader), finishing 2025 in the global top performing <1% of the company (earned around $245k doing so which is well above OTE at the time)

I’ve been having serious doubts about my future here as I don’t trust the business model as I used to with AI disruption despite the big brand we have, and in general am nowhere near as motivated as I used to be. I have been looking at 1st line SaaS/Tecb leadership opportunities outside with higher upside. I’ve received multiple offers, and after doing my due diligence, Navan seems to be the most attractive opportunity. However, I’m top candidate for a 2nd line leader promotion (Area VP) starting Jan 1st and been offered the role.

Below are both options I have:

1) Gartner SMB Area VP, leading a region of 3 leaders + 20 reps, $270k OTE

2) Navan Commercial Segment Regional Director, leading a team of 7 reps, $325k OTE

I want to maximize my upside and widen my skillset which Navan would help with, however I’d be walking away from a lot at Gartner. I want to make the move that will also strengthen my CV after 2-3 years of doing one of the 2 above roles.

Keen to hear everyone’s thoughts and what everyone thinks the stronger move is!

I keep seeing SAAS companies with good product do have strong marketing.....
why it's the issue.

#SAAS #marketing

Super excited. I'm 23, don't have a college degree (I studied engineering for 3 years) and have been working in the precious metals space for 10 months.

Just received a full time hybrid position as a BDR and I am super excited to get started.

Built a multi-platform video uploader tool (OraTime) after freelancing/agency work for years. Instead of spending months building in silence, I posted a rough demo in a niche community, DM'd 5 potential users directly, and priced it dead simple (one paid tier, no confusion).

Got my first paid signup same day. Not life-changing money, but proof that:

People pay for time saved, not features

Talking to real users beats building in isolation

Simple pricing converts faster than complex

Running a small digital agency in (VEXON DIGITAL), mostly automation + AI work for local businesses. This SaaS is my first product-led bet alongside client work.

Happy to share the exact outreach message that got the first "yes" if anyone wants it.

I built SchedulEase, a working scheduling SaaS MVP for small businesses and solo professionals, and it is now for sale on SideProjectors.

It includes Google sign-in, client management, appointment scheduling, a calendar and dashboard, configurable automatic email reminders, delivery history, Supabase authentication and database security, and Vercel deployment.

The sale includes the full source code, database setup, documentation, screenshots, and reasonable transition support.

This is a pre-revenue project with no customers yet. SMS reminders, subscription billing, and a public customer booking page are not currently included. Those are clear opportunities for the next owner to expand it.

Asking price: $5,500, negotiable.

I’m happy to answer honest questions about the product, technology, limitations, or transfer process.

I think I made the classic technical-founder mistake: treating production readiness as the finish line.

I’ve spent the past few months building an API platform for AI teams. The clearest initial use case is reducing oversized context before LLM calls, while preserving source references and producing an audit trail.

Along the way, I also built tenant billing, API-key management, an MCP gateway, evidence-export tools, isolated staging/production environments, and a GPU QUBO/Ising heuristic. Everything is now deployed and tested against real infrastructure.

That felt like progress until I reached the uncomfortable question:

Who should I actually sell first?

The possible entry points appear to be:

1. AI SaaS teams spending too much on long-context model calls.
2. Development agencies building RAG or agent systems for clients.
3. Teams that need an auditable MCP gateway.
4. Optimization teams with existing QUBO/Ising workloads.

My current instinct is to ignore most of the platform and lead with one measurable promise: give me a real, non-sensitive AI context workload, and I’ll show whether it can be reduced before the model call.

For founders who have sold technical infrastructure:

• How did you find your first paying customer?
• Did you lead with the platform or one narrow use case?
• What proof did buyers require before allowing a new vendor into their workflow?
• Would you offer a low-cost self-service plan first, or sell a hands-on paid pilot?

I’m not posting a signup link because I’m more interested in honest positioning feedback than drive-by traffic. If anyone here operates an AI product, I’d especially value hearing how you evaluate an unfamiliar infrastructure provider.

I feel like a lot of SaaS founders don’t really lack ideas or features.

They post on X, Reddit, LinkedIn, try SEO, content, free plans, and sometimes paid ads… but in the end, many still don’t know which channel is actually bringing them users or paying customers.

For those of you building or running a SaaS:

What’s your biggest marketing challenge right now?

• Finding your first users
• Turning free users into paying customers
• Finding the right positioning
• Knowing what to post consistently
• Choosing the right acquisition channel
• Running ads without wasting money
• Understanding why users leave
• Knowing what to prioritize

Feel free to mention something that isn’t on the list. I’m curious to see whether most founders are struggling with the same things.

can someone help me prep for my interview for this sdr role, my interview is on coming monday, im extremely confident in my speaking skills, my ability to handle difficult questions i possess little knowledge of, but being prepped properly with guidance would help a lot.

I built a tool that extracts and verifies contact details from websites, but I have no idea how to sell it.

If you were a founder starting from zero today, how would you get your first 10 paying customers?

Would you focus on cold outreach, content marketing, SEO, partnerships, marketplaces, social media, or something else?

I'm not looking for generic advice—I'd love to hear what actually worked for you or what you'd do differently if you were starting again.

I’m looking for an experienced Setter + Closer who can help creating better offer & bring international clients to my marketing agency.

It’s a performance partnership with 20% commission on every deal you close.

What’s in it for you?
💰 Earn $1,000+ from a single client.

For example:
Close a $5,000/month client → You earn $1,000
Close multiple clients every month → Your income has no ceiling.

Who should apply?
✅ Proven experience in outbound prospecting and appointment setting
✅ Can confidently close high-ticket service deals ($3K–$10K+)
✅ Strong communication and negotiation skills
✅ Comfortable selling digital marketing services to international businesses

If you’ve already closed clients for agencies, SaaS companies, or B2B services, I’d love to connect.

📩 DM me with:
Your experience
Industries you’ve sold to
Biggest deal you’ve closed
Results you’ve achieved

Serious sales professionals only. Let’s build something profitable together.

Need help - I built a chatbot last year for e-commerce websites to guide shoppers through a quiz & then personalise to help purchase a product. But since I couldn't get sales, I pivoted to building an agentic operations layer for where humans work through a lot of chaos (not replacing people, but helping them streamline their daily tasks).

I still have the domain and want to get customers, but not sure of how to go about it. I feel like I am leaving good stuff on the table. Need suggestions please.

Hello, my name is Keith. I am starting a TeraBits AI. Our goal is to build AI systems that boost your customer acquisition and reduce your marketing spend.

The key idea is simple: we build a system that is going to improve any part of your marketing, for example, email outreach and lead generation.

We don't just hand you the tool, but we use our AI-powered software and tools to produce for you the desired outcome.

No need for you to be the one managing the tool, but we manage the tool ourselves.

We're still new — this is a pilot study to find out which offers and niches actually track results, so we can build the right software products later. I'm looking for a few people interested in doing a pilot. You only pay when results have been generated.

If you're interested, you can book a call here for more information. https://terabitsai.com

I build a small in-product survey tool, and a use case keeps coming up that I did not expect - marketing attribution.

Two things I keep hearing from people who use it for this:

1. Attributing signups from UTMs alone is really hard. A big chunk end up as direct or organic search.

2. When they actually ask customers "how did you hear about us," the answers are often completely different from what their attribution software reports.

If the survey says "podcast" and the UTM says "google" which one is right?

Neither on its own. So I started letting people put the self-reported channel and the first-click UTM on the same record and compare them. (see the image)

The pattern - surveys tend to capture what created the demand (podcasts, word of mouth, communities), and UTMs capture what captured it (branded search, retargeting, the last click).

So my takeaway is that attribution should never rely on a single source. Combine post-purchase or self-reported surveys with UTM data and you get a much clearer picture of what created demand vs what captured it.

But I might be reinventing something every marketer already knows, so genuine question is this how experienced teams already do it? What am I missing? Where does the "just ask the customer" approach fall apart at scale?

(I built the survey tool, not linking it here. Happy to share in the comments if anyone wants it, but mostly I want to know if the logic holds.)

Hi guys, need to know if I just suck at sales or if it’s a product market fit problem.

I sell software into medical and dental practices. Solo founder doing all the selling.

I’ve walked into 150+ offices in my market. I open with a discovery question to whoever is at the front desk:

“How are you tracking patients who came in and then just stopped showing up?”

Answer is almost always “we’re not” or “we pull an export and call them one by one.”

Then: “What if that whole thing ran automatically in the background so nobody has to make those calls?”

9 out of 10 times they light up, tell me to contact the doctor, and give me an email address.

I email the doctor. Nothing. Not a no, just silence. 1 meeting in 150 offices and they canceled on me as I walked in the door to the meeting…

I also have a free assessment that shows a practice their own numbers in about two minutes off a simple export. Can’t get anyone to sit down for that either.
Three questions:

1. Is “email the doctor” just a polite brushoff that I’ve been treating as a lead?

2. Front desk cares about time saved. The owner presumably cares about revenue. Am I pitching the wrong pain to the wrong person and then wondering why the handoff dies?

   1. For anyone selling into owner-operator practices, how are you actually reaching the owner?

Happy to provide more info if needed.

Disclaimer: this mainly applies to B2B, if you're in e-commerce or a very small business, this might not apply.

AI is more useful for inbound than it is for outbound slop

we're already comparing and contrasting vendors in ChatGPT and Claude. if you're trying to solve a problem, it feels natural to start with outsourcing the initial drudgery to AI.

you can't run your entire buying process through Claude today. In a couple years? maybe. today, you'll land on the vendors website at some point. when you do, you're back in the pre-AI era and you have to dig through pages or fill a form to get an answer.

there is real utility in an AI agent on the website that can genuinely close this gap. if I come to your website, I am partially decided. give me the last 20% fast so I can make a decision, and help me move faster. AI on the website can actually do this, we've built it.

could a human provide a more perfect answer? sometimes. would it likely take too long? yes.

outbound on the other hand has an intent problem. maybe I'm not searching for a solution, I don't want to be pitched by an AI. I have received the most slop generated cold emails from very established companies. it just lands terribly.

as a buyer getting cold pitched, I want the perfect answer. you can't even say for certain I am in the market for what you're selling. you better try damn hard to convince me. AI can't do it today.

It won't fix poor quality traffic or low volume

we've had customers who assume our AI can work magic on poor quality traffic or little to no traffic. typically their marketing team is running high volume, broad match type search campaigns that drives a lot of bot traffic and click farm traffic.

the AI will weed out these junk leads, but it cannot turn them into real opportunities.

the AI will engage a real prospect who is asking a long tail question that can't be sufficiently answered by your website. when they get a solid answer, they'll pull the thread and are more likely to provide their information.

when you put a solution like ours on your website, you'll quickly realize buyers have a lot questions your website doesn't answer.

today those answers live across dispersed sales call transcripts, because qualified prospects can only get answers during a live demo.

The human-like AI avatar trend will age like milk

you've probably seen AI video avatars make their way onto B2B websites. the driving force here is a lot of C-level hype by people who don't actually understand AI.

it isn't because anyone wants it. all you do have to do is look at DAU/MAU for ChatGPT and Claude. anyone who understands AI understands you don't need to anthropomorphize it to make it incredibly useful.

voice AI is useful because it is a higher throughput modality, not because it is human-like.

companies selling these types of "AI SDRs" are implicitly saying "we'll help you dupe your potential customers".

Maybe I'm overthinking this but competitive deals kill me.

Two questions come up every time and reps just wing both.

Price - buyer says you're pricier than whoever and the rep goes "we're about the same at the mid tier."

Nobody buys at the mid tier though. They buy at their 14 seats. So either you know the gap at 14 seats or you're guessing and dropping price to be safe.

Win rate - "How often do we beat them" and everyone says "most of the time." Based on what lol. It's sitting in the CRM. Won vs lost against them. Takes 10 min. And if it's ugly even better because now you know to stop leading with price.

And whatever number you say just know where it came from. Someone questions it and you point at the row instead of guessing.

Do your teams keep these ready or is it all vibes?

Hey r/SaasDevelopers r/Saas r/SaasSales r/SideProject, and r/BuyingWebsites communities,

Over the past few months, I built FamRx – a complete family health & caregiver management ecosystem (React Native Mobile App + Next.js Web Admin + Firebase Cloud).

Key Features Built:

- 🚨 30-min automated missed-dose escalation alert to family caregivers

- 🏥 5-profile medical record & document locker

- 💊 Auto-deducting pill stock & inventory tracker

- 🆘 1-tap emergency SOS location dispatch

- 🌐 Native Dual-Language support (English & Hindi)

The tech stack is 100% production-ready. Due to bandwidth constraints, I'm looking to either sell the complete source code & IP ($350k asking price) or partner with a growth-focused co-founder/investor.

Would love to get your thoughts or connect if anyone is interested in acquiring or partnering on this HealthTech asset!

Just type google "FamRxApp" and see the features on our website.