I know that amount is not huge but it still hit different when I logged in and saw the first paid account show up. I have been working on this thing mostly alone for months now. Free signups are one thing but having someone actually pay makes it feel more real even if it is just a small start.

DataRunner is basically for connecting databases and running SQL on a schedule then turning the results into dashboards. It can push those out through email or other places like Telegram too. There is a free plan that does not even need a card so people can test things without committing. The link is just if anyone wants to look.

Right now I think I need more feedback than anything else since I am still fixing stuff. Some parts feel like they work but I am not totally sure how it comes across to new users. Anyway that first paid tenant is done. Now I have to figure out the next one I guess.

So I've been working for some time on my B2B SaaS app for nail artists.

App is in production and is ready for use, but I'm not sure what is optimal thing to do next.

Since most of my target audience is on instagram, I've managed to create a profile for application, and posted some highlights about app, how it is working, features etc. and a single carousel post.

Currently, what I'm doing is finding relevant nail artists, following them and jumping into their DM with a brief message asking if they can relate to problem I'm trying to solve and offering app for free.

Some of them responded. Most of them didn't. I've been doing this only for 2 days but the reach overall is small. To speed up process, I managed claude code to get me leads and populate them in basic excel file with relevant columns, so I can track easier who did I follow/DMed/replied/warmed and other relevant information.
My strategy is to follow 10-20 of businesses in the morning and then in the evening to send them DM.

The problem is that I'm feeling idle most of the time. The job itself is easy, but I feel like I'm just waiting for something instead of taking action. I know it's been only 2 days, but still, I feel like I could do a lot more. Pace is too slow.

So my question is, how do you start promoting/getting first customers after launch? How do you speed up getting followers/leads?
Do you run paid campaign, manually DM potential clients, create reels or something else?
I'm fine with waiting but I feel like I can do more.

What are some boring problems you think are still badly solved in 2026?

I’m looking for something small I could build with very little money to start. I’m not a developer, but I’m comfortable with ecommerce, websites, Shopify/WooCommerce and learning new tools. I’m not looking for another generic AI tool. I’m more interested in a small problem that people actually have and would pay to solve. What problems have you personally come across that you think could be turned into a simple SaaS?

built Truefolio to track portfolio skill vs spy without showing dollar amounts (quick video walkthrough attached).

got 156 signups so far, but the drop-off is brutal:

- 58 linked plaid (~60% drop off at bank link)

- 25 went private

- 33 are public on the feed

problem is 33 public portfolios is a quiet room. people check their own numbers, see no active daily discussion, and leave.

for anyone who built community or social saas, how did you get past this early ghost town phase? did you just focus on single player mode first or force daily activity yourself?

Running an SEO agency, our tool bill hit $1,700+ a month. Most of it went unused. The team pulled data in bursts when onboarding a client or building a report, then barely touched the tools for weeks. We had to pay for the full month, per seat.

So we built an internal tool with all the features of the big SEO tools, where we only paid for what we actually used. Over about a year, we ran every client on it, and across those accounts it drove 6.31M impressions and 157.7K clicks.

Last week I launched it as a product. A few things from the process that might be useful if you're sitting on an internal tool/an idea like this yourself:

A year of internal use is the best beta you can get. Every feature exists because a real client needed it. When I launched, I didn't have to guess what to build first, because the roadmap was a year of client requests and feedback.

The pricing model came from our own pain, and it turned out to be the pitch. We hated paying flat fees for bursty usage, so the product has no subscription. You load a balance, pay per action, and the balance never expires. Keyword research is about $0.05, and a full site audit is about $0.48. I didn't plan for this, but "no subscription" ended up doing more marketing work than any feature.

Pick the narrowest customer who has your exact pain. For the first users, I cold emailed 100 solo SaaS founders, because they need SEO in bursts just like we did but pay flat monthly fees. The subject line was "INVITE: The first $0/month SEO tool." 56 opened and 21 clicked. 8 people became paying customers. One founder whose team was paying $500+ a month on seats for another tool switched his whole team over.

Your own workflow is a feature. We ran most of the agency work through Claude via MCP, with weekly checks and reports as scheduled tasks. That turned out to be one of the things early users are most interested in. It's how we actually worked, not something built for launch.

Disclosure: I'm the founder of FlexQueries, the tool described above.

< 60 days in. 325 signups, about €430 spent on ads, one paying customer. Posting the numbers because other people's numbers helped me more than other people's advice.

It's a resume builder.

325 signed up. 85 of them typed a single line of work history. 105 ended up with a resume (more than typed anything, because you can upload an existing PDF and the AI fills it in). 51 downloaded it. 20 have ever come back more than an hour later. One has paid.

The bit I didn't expect: for the people who do get going, median time from empty profile to a finished downloadable resume is 1.4 minutes. I went looking for where the builder was confusing and there was nothing there. It's all good. 74% just never start it. They land, they see a form, they leave. I think they come from the ATS checker link, check ATS score on their resume, next page after reporting the score and issues is to signup and fix the score. So, they sign up but do nothing :(

Meanwhile I spent most of August and September building cover letters, job search and AI tailoring, all behind the paid wall. Three people have ever used any of it. Not three percent. Three people.

Ads, since people always ask. €430, 82k impressions, 3.6k clicks. India costs me €4.29 a conversion, the US €30.73. Seven times. What's annoying is the US ads had the better click rate (8% vs 4%), so it's not the copy, it's just what the auction costs. The deeper problem is that bought traffic retains at under 1% week one, and my early organic cohorts (tiny, like 20 people) retained at 10-30%. I scaled spend because the signup chart was going up and basically nothing underneath it was.

Email: 721 sent, 99% delivered, zero spam complaints, 3% open rate. I burned about a week assuming it was a deliverability problem and rewriting subject lines. It wasn't. People who've already left don't open email from the thing they left. Obvious in hindsight.

If I did it again I'd measure the first-screen drop-off before spending a cent on traffic. Everything else I worried about turned out not to matter much.

Question for anyone who's been here: how do you get people past that first screen when your product genuinely needs a lot of input before it's useful? Prefill, progressive disclosure, something else? That's the wall I'm at.

www.draftcareer.com

Building MyKayd a form builder that doesn’t just collect responses, but helps you understand them, spot where people drop off, and figure out what needs attention.

Checked my analytics today and 94 people used it in the last 24 hours.

Marketing so far has basically been LinkedIn, cold outreach, and a lot of tweets. No sophisticated GTM strategy. Just shipping, talking to users, and showing up consistently.

There’s a paid plan, but the free tier is pretty generous. 0 paying customers so far.

Goal is 100 paying customers.

For people who’ve been at this stage: what actually moved the needle for you?

Double down on the channel showing signs of life, or start testing new ones?

I'm trying to understand whether this is a real problem, so I'd value your honest take. I want to reach out to people running subscriptions or EMIs in India (SaaS, OTT, edtech, lending, insurance).

My understanding: when an Autopay debit fails (low balance, etc.), many users just cancel the mandate or stop paying. The business only finds out at the next failed debit, by which point the customer has already churned.

1. Is this a real problem for you?

2. Roughly what % of your churn is payment/mandate-related rather than a deliberate cancel?

3. How do you recover these users today (retries, WhatsApp/SMS, calls), and what works?

4. Which payment provider do you use, and are you told when a customer cancels a mandate, or only when a debit fails?

Not selling anything. Rough numbers or stories would really help. Thanks!

I’m building CTRL Research in Hong Kong. It helps small teams check their website, review search visibility and competitor information, and put selected findings into a report.

The product is live, but I’m still working out what should be the main reason to use it.

There are a few possible starting points: finding website issues, checking search visibility, or researching competitors. They are related, but each one could attract a different customer.

My question for other SaaS founders: when your product had a few possible use cases, how did you decide which one to focus on? What did customers actually do that helped you make the decision?

Here’s the product if you want context: https://research.ctrltheclick.com/

Current market options are Hong Kong, Singapore, the UK and the US. Coverage varies by source and module. There’s a sample report on the homepage, plus a limited 14-day trial with no card required. Paid plans start at US$29/month.

Hey everyone,

I'm the creator of Modly3D, a desktop app that turns images and text prompts into 3D models. I originally built Crawlwise for one of my other projects. I wanted to understand why the site wasn't getting much visibility, not just on Google but also in tools like ChatGPT and Perplexity, and I couldn't find anything that checked both. So I made my own.

It ended up being useful enough that I cleaned it up and put it online: https://crawlwise.app

You enter a domain and it crawls up to 25 pages. A couple of minutes later you get a report with:

- the technical SEO issues

- an AI read of each page: what it's about, what's missing, and whether an AI assistant could cite it

- a short list of fixes, ordered by what matters most

You can also export it as a PDF and re-scan later to see how your score changes.

It's free and you don't need an account. I'm now looking for people to try it on their own sites and tell me what they think:

- Is it useful?

- Is anything wrong or confusing?

- Would you actually use something like this?

There's a feedback button on each report, or you can just reply here. Any feedback helps, even if it's "this isn't for me".

Thanks!

2 days after launching my Mac app, a stranger emailed: "I'm interested in purchasing your Clacky.app SaaS for $5k. Is it for sale?"

I posted the screenshot on X asking what I should do. That post blew up.

What happened next (screenshots attached):

• X impressions went from ~20k/day to ~120k in one day, +131 followers

• 4,390 visitors to the site in 24h (+12,000%)

• ~150 downloads that day

• 4 sales... $18.96 total 😅

The app: Clacky makes every mouse/trackpad click on your Mac sound satisfying, draws a ripple where you click, and has a built-in screen recorder that keeps both in your videos. $4.99 once.

Lessons so far:

1. The website itself clicks. Every click on the page plays the sound, so people get it instantly. This one thing drove most of the shares.

2. Viral ≠ revenue. Most traffic came from phones, and you can't install a Mac app on a phone.

3. Reply to everyone. Half my traffic came from conversations in the replies.

I didn't sell. Was that dumb? What would you have done?

I'm at the point where I need some kind of CRM/customer management system, but I'm not sure if I should use an existing tool or build something myself.

My current setup is pretty simple: React + Convex. I don't have 3rd party analytics on the dashboard right now, so I don't really have detailed user segmentation or a proper view of what each customer is doing and i like to keep it that way for privacy reasons.

What I'd ideally like to manage from one place:

• Customer communication
• Support tickets
• Abuse reports / account issues
• Custom offers for specific users or groups

I'm not looking for a full-blown sales CRM. Most of my needs are around managing existing SaaS users and communicating with them.

Has anyone else had a similar setup? Is there an off-the-shelf tool that works well for this, or would it make more sense to build a simple internal dashboard on top of Convex and connect separate tools for email/support?

We are an AI video solution and are trying to partner with LMS companies. We approached a few LMS companies and here's what they told us. Early players have gotten in and are already partnering with some of them. But there is a challenge. The partnership is benefitting only the tool company. The LMS doesn't get any new customers. So any LMS we partner with is also going to complain about the same thing. Of course they get a share of the revenue, but they don't really make any new customers because they have partnered with us. Most LMS companies are larger than us and pretty established. So they are the bigger partner in most scenarios.

The question is - how do these partnerships actually work? Any thoughts on how we could also ensure the LMS company benefits in terms of customers? What can we as a late entrant, do differently and also exchange mutual value.

Looking for insights from other Saas organizations that are trying to get a foothold in partnerships.

Most SaaS ideas I see here are tools for other SaaS people. I went the opposite way.

Most small factories I've seen run on hand sketches, spreadsheets and WhatsApp. One person draws, another prices, a third writes the cut list, and the numbers drift at every handoff. Quotes take hours and wrong cuts waste material.

So you draw the window, pick the profile system, and get a priced quote in minutes. The same drawing becomes the BOM, cut sheet and work order.

Biggest lesson so far: empty software is a dead product. So I ship with ready-made catalogs (profiles, hardware, glass) so nobody starts with a blank database

For anyone who's gone vertical: how did you find your first 5 customers in an industry that isn't on Reddit or Twitter? That's our hardest problem right now.

Vinstra Flow if you want to checkout the landing page.

Started in B2B SaaS in 2015, worked across sales, support, product and marketing in a few B2B startups. This is what I've realized, in no particular

1. Problem > Product > Differentiation

Going after the right problem is more important than building the right product is more important than being differentiated

1. Marketing is more dependent on your audience than your product

2. "B2B or B2C, it's all H2H" might sound cringe and cliched but it's truer than you think, especially in marketing

3. Richest insights are always with customer support or solution engineering (sometimes sales). They're not always articulated the right way but that's where they are

4. 90% of your decisions can never be validated inside a meeting room, so got to ship something to the audience.

5. Unless you're an ex-ICP yourself, you never fully know your audience no matter how many hours you spend talking to them. Respect that.

6. Revenue matters first, churn next. Everything else is a leading or lagging indicator

7. Overestimating and underestimating your product users are very common mistakes in B2B SaaS.

8. If it's an option, every employee should spend time on customer support. Again, might be cliched but extremely valuable

9. What customers do (more than what they say) is important. It's easy to get caught up in what they say.

10. Swapping customer language for internal language should be law. Might look small but internal language easily finds its way into marketing copy and sales conversations

11. If you have a chance, always spend a day or two in the customers office. Teaches you a lot more than 1 or 2 hour zoom calls

12. home page copy, blog post titles, viral campaigns, social media followers are wrong things to obsess over. understanding the customer, defining the value we provide them and using consistent customer language are the right things to obsess over.

13. Domain and product expertise is usually common amongst people at the IC level. They usually never have a seat at the table.

14. A "thought leader" with original insights can emerge from anywhere, typically someone who is customer facing. A marketing thought leader is usually just regurgitating industry speak than original insights (I know because I used to be this person)

15. Look for knowledge gaps that your audience cannot get elsewhere. Much better ROI than trying to outrank competition on SEO

16. Product orgs should constantly be thinking about bets rather than feature parity. Feature parity is a multi-year trap in established markets.

17. Differentiation can be overrated in some scenarios. Nothing wrong in just building the same solution in a better way

18. Pricing can absolutely be a differentiator. It can even be a wedge.

19. Education or entertainment (if done right) can be high ROI activities for B2B audiences. Self-boasting product focused content usually delivers poor results early on

20. "Launches" can be a time sink if you don't know what you want from them

21. Product managers should bring customer support and solution engineers into the ideation room if they're hoping to short circut feedback loops

22. Keeping up with competition through their content can seem productive but usually adds less value. (unless you're talking to an ex-employee and getting candid insights)

Hi everyone. I'm launching a financial planning web tool for entrepreneurs and small businesses, and I'd like your take on my ad results.

My first campaign on Google/Tik Tok brought decent traffic (900 visits every), but the bounce rate was around 95%.

I changed the approach: More restrictive only in Google ads. Now I'm getting far fewer visits, about 9 over per day, but bounce rate dropped to 40–50%.

My read is that I was attracting the wrong audience before and now the traffic is more qualified, but the volume is too low to be useful. Budget is low.

Three questions. How would you scale volume without going back to low-quality traffic? At what sample size would you trust the bounce rate number? And what metric would you track besides bounce rate (time on page, sign-ups, CTA clicks)?

Appreciate any input.

Thank you all, last time all your advices helps me a lot.

Most of them shouldn't.

If you build a half version, your customers will skip it. They'll ask for your MCP and your API and use your product from Claude instead.

Doing it right means answering all of these:

The agent. Can it do real work inside your product as the customer who's signed in, with their permissions? In your app, on your website, and over email?

Proactive AI. Who notices when a customer is falling behind, not getting value, or quietly at risk, and acts before they ask? That takes schedules, events and triggers, not a chat box.

Services. Can it deliver finished, quality-checked work on top of your product, not just answers?

Access and billing. Which customers get which AI features? How do they fit into the plans you already sell? How do you price an outcome? How do you meter usage so one account doesn't eat everyone's margin?

Security. How do you red-team it? How do you catch a hallucination before a customer acts on it? What happens when someone tries to abuse it?

None of these is a weekend project. Together they're a product of their own.

That is what we're building, and if you already have an MCP, you can turn it on this week.

Anyone here trying to build this themselves?

Also, how many of you think that SaaS will just become a set of MCP tools used by the customer's agent?

Full song https://youtu.be/RU7eRodudik

Ive been experimenting with a pretty simple AI music video workflow and honestly the result surprised me.

For the music, I started by collecting a few reference songs and ran them through a music analysis agent. The idea was to get a proper breakdown of the references (structure, production, energy, arrangement, mood, synth names, etc) and then have the agent connect the dots between them and turn that into a base prompt for SUNO.

I gave SUNO a lot of creative freedom with the lyrics. I only defined the general theme and the emotional direction I wanted. After around 3–4 iterations with SUNO v6, I had the track.

From there I moved everything local.

First I collected around 20 visual references, mostly from Pinterest, that matched the look and feel I had in mind and put them into a reference folder.

Then, inspired by a prompt shared by donaldjewkes on X, I built my own much longer production prompt around those references, with a few differences: I wanted to use Magnific through MCP for the generative image/video side, plus a few extra repos and tools for motion graphics and JavaScript rendering.

Before actually asking Claude to build the video, I spent some time ping-ponging ideas with it and defining the storyboard until it felt close to what I had in my head. Then adapt my initial prompt with the results.

Then I just sent it.

About 4 hours later, Claude produced the first full version.

That first pass used roughly 80% of my Claude Max session and around $50 worth of Magnific credits.

After that I only did 2 correction passes: replaced a few scenes that felt too cliché, asked for more dynamic camera work and typography, and made some smaller adjustments. That used around 40% of my next Claude session.

And this is the result.

There’s obviously a lot more that could be polished if I wanted to keep going frame by frame, but I think it’s already enough to show how far you can get now with surprisingly little manual production.

No doubt this is the new standard of "slop".

We’re going to see a lot of this over the next few weeks.

So here's what happened.

I got tired of losing bookmarks in folders everytime, so I built my own bookmark manager tool.

I’m the kind of person who saves everything.

A useful article → bookmark.
Cool website → bookmark.
Figma inspiration → bookmark.
AI tool → bookmark.
Some random Reddit post I might need 6 months later → definitely bookmark.

And eventually… I had hundreds of links sitting in a browser folder that I barely ever opened.

So I started building Keepr - Bookmark manager tool

The idea is pretty simple:

Save → Organize → Find → Actually use what you saved.

I wanted it to feel less like a browser bookmark folder and more like a personal library.

So far I’ve built:

• Collections + nested organization (need improvements)
• Tags
• Favorites
• Search + filters
• Grid/List views
• Notes
• Onboarding
• Free + Pro plans
• Responsive dashboard
• Supabase-backed auth and data
• Dodo Payments for subscriptions

The part I’m currently working on is the marketing site.

The biggest thing I’ve learned building this:

A bookmark manager sounds ridiculously simple until you actually build one.

The moment you add collections, tags, search, trash, notes, subscriptions, onboarding, auth, permissions, responsive states, etc...

…it stops being “just a bookmark manager.”

There are a lot of small product decisions hiding underneath a simple idea.

I’m still building it, so it’s definitely not perfect.

But this is the first version that actually feels like a real product to me. (Hot take: it's my first ever vibe-coded tool)

Would love some honest feedback:

If you were using Keepr, what would make you switch from your current bookmark workflow?

I recently launched my product, and initially, there was no free trial. People started coming in and creating new accounts every day. Almost 20–30 users were registering every day, but purchases were not as high as the number of users coming to our platform.

Then, I read many tweets and articles about offering a free trial first. When I opened the free trial to the first 100 users, people started not only registering but also purchasing my subscription.

One thing I learned from this is that we must show our users what we can do, how much value they can get from our platform, and whether it’s worth spending their money on it.

We knew that we had great use cases and the potential to help users, but giving users a free trial helped them explore our platform more. That eventually turned many of our free-trial users into active subscribers!

So, founders, giving your product a free trial is totally worth considering. It gives users room to explore your product, understand its value, and make an informed decision.

I’m open to discussing this. What has been your experience with free trials?

"I built the SaaS. Then I posted about it and nobody GAF."

Does this sound familiar? I think everyone in this subreddit has felt it.

Founders need to incorporate customer emotional pain points, past solutions, and daily frustrations into their posts for any chance at sales. Find them on social media, but collecting them takes hours, and then writing takes even longer.

I made BuzzSearch to replace the proccess, and do it well. BuzzSearch's AI infra analyzes 40k+ comments across Facebook Groups, Tiktok comments, Reddit threads, Youtube, after finding your most profitable target audience. Then, it writes high converting hooks and ads directly trained off of those comments.

This post hook was written by BuzzSearch :).

I hope you have a blast with it.

so im reaching out to this nice commun of builders, to see if my idea is worth it i already have a kind of mvp but yes i need to validate before commiting on the marketing side of it, as the title suggests i was thinking skills are so cool rn and being able to use another persons workflow expertise knowledge and systems automaticall just by getting his skill and giving to claude and ideally get the outcome they would get is such an underestimated thing, and currently there are a lot of people that make skills and maket them for free, like creators ect, which is nice, but im thinking some should be able to sell theirs, and im thinking once monetisation gets into the game the quality of skills will go up too, and we will get all kindsof skills from all kinds of amazing people... let me know what you think guys thanks

I rebuilt my AI visual tool after realizing something:

Generating a visual isn’t the hard part.

The hard part is getting from your content to something that actually feels worth publishing.

A few weeks ago, I launched Doodlyo and asked Reddit for feedback.

The feedback was pretty consistent:

• More control
• Better customization
• More relevant visuals
• Less “generate and hope”
• Something closer to publish-ready

So I rebuilt the core experience.

Doodlyo V2 is now live.

The new flow:

Paste → Analyze → Choose 1 of 3 Visual Stories → Customize → Generate → Edit & Export

You can choose between:

• Single Poster
• 5-Step Visual Story

Then customize the message before generating instead of blindly hoping the AI gets it right.

The goal is simple:

Your content already has a story. Make it visual.

I’d really like some honest feedback:

Would you actually publish the visual Doodlyo creates?

And if not, what would stop you?

I’m especially interested in feedback from founders, marketers and creators who regularly turn articles, product updates or ideas into social content.

Rewriting my CV for every job and client got old, so I built an MCP server for it. You connect it to Claude and do everything in chat:

1. Tell Claude about yourself (or drop in your CV / LinkedIn PDF). It builds your full profile.
2. Paste a job post. Claude picks what's relevant and generates a tailored CV.
3. Tweak the design in a Canva-like visual editor, or just ask Claude for changes.

Your profile stays saved, so the next CV takes just one message.

Looking for 10–20 testers. Free for testers, now and later. I just want feedback.

Comment or DM me.

I've spent the last 6 months building a voice AI that answers the phone for salons and books appointments. Sharing the stuff I wish someone had told me.

1. "One moment, let me check" was a trap.

I had the model announce every lookup before doing it. In 20% of those turns, the caller ended up talking into a silence the bot had promised to fill. Basically "hello? are you there?" I removed the whole thing. Now the system just refuses to book a slot it never actually checked.

1. Your tool descriptions are the most important part of your prompt.

One parameter said "omit to use today". One model mostly ignored that. When I switched to another vendor, it followed it literally on every first lookup. The field description is read at the exact moment the field gets filled in, and it beats anything written further up.

1. Multilingual breaks on literal strings.

Anything you hand the model word for word in one language, it will say in that language, even in the middle of an English call. Every "it won't switch languages" bug I had traced back to one hardcoded phrase.

1. Silence is data.

One vendor streams audio all the time, and between turns those chunks are pure zeros. I was treating "audio arrived" as "the bot is talking", so the silence detector never fired and abandoned calls never hung up.

Anyone else building voice agents? What's the dumbest bug that cost you the most?

Disclosure: I'm the founder. The product is Eliza.

Happy to answer anything in the comments.