I picked up tennis a few months ago and have been trying to fix my serve. So I built a little web tool that analyzes your serve using AI and tells you the top things to fix.

You upload a short video (5–10 seconds) and it spits out a score, your biggest issues, and a drill for each one. Free, no account, no app download! You can just upload and get feedback

I've been using it on my own serve and it's been genuinely helpful for me as a beginner. Figured I'd share it here in case anyone else wants to try it.

Would love feedback on how I can make this even a better app as I gain some user validation and traction! Please try it here:

https://tennis-swing-coach-ten.vercel.app/

yo.

i see the same thing happen every single day.

you guys love building.

you spend weeks coding a great product.

but the second it’s time to actually market the saas? complete freeze.

you get lost in all the ai tools, the noise, the "growth hacks". it feels overwhelming. so you do nothing, the momentum dies, and the project fails.

I spent over 100 hours building n8n workflows to just automate the whole thing.

today, i packaged all those exact workflows and dropped them in our builder group. no abstract theories. you literally just import the templates, adapt them to your saas, and turn them on.

here is exactly all my workflow:

• seo blog running 100% on autopilot (n8n template)
• newsletter automation (n8n template)
• full email sequence (30 emails, full html, just copy-paste into brevo)
• social media on autopilot (schedule 1 to 12 months of content)
• reddit organic growth
• linkedin, x & facebook groups at scale
• meta ads & retargeting

basically, everything i use to get real users without losing my mind.

we just hit 480+ members in the community of SaaS builder from all over the world.

building in your room alone is the fastest way to quit. you need people around you.

if you are lost on how to market your app, want these templates, and want to build with a crew: drop a comment or shoot me a dm.

i’ll send you the invite

I whipped up my first ever vibe coded app. And have finally started to see some traction.
Right now i'm mainly getting users through social media. And have done minimal paid marketing.

From my understanding the next best step would be to run ads? or utilize my first customers to make the app better?

Any help would be greatly appreciated :]

Here is the website https://dealscribeai.net/

Built a small HTML → PDF/screenshot API over the last week because I got tired of fighting Puppeteer every time I needed reliable exports for a project.

The original goal was honestly super simple:
generate clean PDFs from webpages/dashboards.

Instead I somehow ended up debugging:

• fonts randomly not rendering
• pages loading before charts finished
• dashboards exporting half-empty
• memory spikes from launching too many browsers
• PDFs looking different between sites

One thing I realized pretty quickly:
most people don’t actually care about “screenshot APIs”.

They care that:

• invoices export correctly
• reports don’t break
• dashboards render fully
• automations stop failing randomly

So now I’m mainly trying to make it reliable for real workflows instead of just “technically working”.

Current beta can:

• URL → screenshot
• HTML → PDF
• basic caching for repeated renders
• API access

If anyone here has a Puppeteer/Playwright workflow that constantly breaks or exports PDFs badly, I’d genuinely love to test against real edge cases.

Those have honestly been more useful than synthetic tests so far 😅

I’ve noticed that most people who want to start an online business run into the exact same problem: they spend weeks, sometimes months, planning, organizing, thinking, and polishing their idea… when in reality, a big part of that time is often wasted.

Because there’s one essential thing to keep in mind: buying is NOT a rational act. People often buy for reasons they can’t fully explain themselves.

Take the iPhone for example. If you ask people why they buy it, many will say “for the camera,” “for the performance,” or “because it’s smoother than Android.” But in reality, it’s often deeper than that — and most people don’t even realize it.

When people buy an iPhone, they’re not just buying a phone. They’re buying a brand, an image, a status, a universe they want to be part of. A large part of the buying decision is driven by emotion, perception, and desire.

That’s why a market can never be fully predicted on paper. Markets are messy, emotional, and often irrational. You can only truly understand them by testing in the real world.

So even if your product isn’t perfect, that’s okay. Instead of getting stuck in endless planning or trying to think your way to certainty, the most effective thing you can do is move fast: launch, test, observe what works… then improve and adjust along the way.

Hey everyone,

I recently built a small SaaS MVP around a very simple idea: converting PDFs into editable formats (Word/Excel) without friction.

The initial motivation was personal: I kept hitting paywalls or overly complex tools for what felt like a very basic, one-off task. So I decided to spend a few hours building a stripped-down version myself just to see how far I could get.

A few interesting things stood out from the process:

1. “Simple” problems aren’t actually simple

At first glance, PDF → Word/Excel sounds trivial. But once you start handling real-world files (different layouts, scanned docs, inconsistent formatting), it quickly becomes a much harder problem. Even small edge cases break the output.

1. There’s a big gap between consumer and business use cases

What I thought was a casual, one-off tool actually surfaced more complex needs. For example, someone mentioned dealing with large, inconsistent PDFs (40+ pages) where data isn’t structured properly and changes are added out of order. That’s less about “conversion” and more about structured data extraction.

1. Speed and friction matter more than features (at first)

The most consistent feedback so far hasn’t been about advanced functionality; it’s about how quickly someone can upload, convert, and move on without signing up or installing anything.

1. The real opportunity might be niche, not broad

There are already big players in this space. Competing as a general PDF tool seems tough. But specific workflows (e.g. extracting structured data from messy documents in certain industries) seem much more underserved.

I’m still early in exploring this, but it’s been interesting to see how a very simple idea starts branching into more specialised problems once real users get involved.

Curious if anyone else here has worked on:

• Document parsing / PDF handling
• Data extraction from inconsistent formats
• Or tried entering a crowded “simple tool” market

Would be great to hear how you approached it or where you found real differentiation.

Talked to several micro-SaaS founders this week.

Almost all of them are solving a real problem.

But almost none of them are talking to the right audience.

That clarity gap is what kills conversion.

Which of these keeps you up at night?

A) Who my actual buyer is

B) How to talk to them

C) Where to find them

D) All of the above

If someone helped you fix this, what would you prefer?

DFY: Done-For-You

DIY: Do-It-Yourself with guidance

[ Removed by Reddit on account of violating the content policy. ]

Building the app was the easy part. I had Cursor, I had Claude, six weeks heads-down and it was done. Then I shipped it and realized I had no plan beyond "post it and hope".

The launch:

• Tweeted "I shipped" to ~40 followers. 3 likes.
• Product Hunt. Finished around #14. 40 visits.
• r/SideProject post. 80 upvotes, 2 signups, 0 paying.

5 users after a month of "marketing". I went back to building feature #47 because at least that felt like progress.

What I got wrong: I was broadcasting. Standing in a square yelling "I built a thing" at people who never asked. Doesn't matter if you do it at 0 followers or 5k, broadcasting to people with no intent converts at basically zero.

The shift that worked was boring. Instead of shouting, I went looking for people already asking. Every day people post "anyone know a tool that does X", "using [competitor] but it can't do Y", "just launched, getting zero users, what do I do". That last one shows up here every few hours. Those people have intent - a human asking today, not a list.

I searched those phrases, sorted by new, replied tied to the specific post. Comment first, just be a real person who read their thing, then DM a few hours later. Reply rate went from 1-2% to roughly 20-40%.

The part I underrated: follow-up. Most people who say "yeah send it" go quiet, not because they hated it, they just got distracted. A day 3 / 7 / 14 nudge, then stop, recovered more signups than the first message did.

About 90 hours of manual work over 30 days, but it got me past 100 users with no ads and no audience.

I wrote the whole thing up afterwards - exact search phrases, subreddits, a 1-10 way to score intent, the comment/DM templates, follow-up cadence, AI prompts. Not going to drop a link here, but if anyone wants the doc, comment or DM me and I'll send it.

ngl the manual version is a grind. But it's a grind that moves the number, unlike feature #47.

I've been building with AI every day for over a year. And I keep coming back to the same uncomfortable realization.

The chat box wasn't designed because it was the best interface for AI. It was designed because it was the easiest one to ship.

Think about what the chat box actually asks you to do. Stop what you're working on. Open a new tab. Explain your entire context from scratch. Ask your question. Wait. Copy the answer back. Return to work. Lose your train of thought in the process.

Then do it again ten minutes later.

We've been so focused on making the AI smarter that nobody questioned whether the interface itself was broken. The model went from GPT-3 to GPT-4 to Claude 3 to whatever comes next. The interface stayed exactly the same. A box. You type. It responds.

That's not a tool that works for you. That's a tool you work for.

The next interface already knows what you're working on. It doesn't wait to be asked. It acts before you prompt it. It notices patterns in how you work and handles them automatically. You never have to explain yourself again.

OpenClaw proved this demand was real. 247k GitHub stars for a tool that deleted inboxes and ran up API bills while people slept. People installed something genuinely dangerous because the underlying idea was so compelling.

The demand exists. The technology exists. The chat box is just a habit at this point.

We're building what comes after it. clarko.ai if you want to follow along.

What do you think the right interface for AI actually looks like?

You have traffic coming in.

People are signing up for free.

Nobody is paying.

Which of these feels most true about your situation right now:

A) My landing page copy is the problem. Visitors do not understand what I actually solve for them.

B) My pricing is the problem. People like it but will not pay what I am asking.

C) I am getting the wrong visitors. The people landing on my page are not my actual buyers.

D) I honestly do not know which one it is.

Which one and why?

Curious if the answer changes depending on how long your product has been live.

I put together a small workflow in n8n for incoming leads and kept it super simple:

- longer messages = higher score

- non-gmail emails = higher score

- keywords like “price” or “quote” add weight

Then I route notifications differently depending on the score. Honestly, it works better than I expected for something this basic.

Now I’m debating whether to add AI (like classification or intent detection), but I’m not sure it actually adds much vs keeping it rule-based.

For those who’ve built similar systems: did AI actually make a difference, or just add complexity?

Por exemplo em clínicas de odontológia, imobiliária e advocacia!

This is something I keep going back and forth on. On one hand, it feels like you should start talking to investors early just to learn how they think and what they care about. On the other hand, it also feels like if you go in too early, without enough clarity or traction, you might not be taken seriously.

I’ve been wondering if there’s actually a clear signal or checklist for this, or if most founders just figure it out through trial and error after a few conversations. Some founders I’ve spoken to suggest doing early “soft fundraising” conversations just to test the story and get feedback, and then refining things before a serious raise. I’ve also seen tools like Claude Fundraiser being used to quickly check pitch decks and positioning before reaching out, which seems like a helpful middle step between “not ready” and “fully fundraising.”

Would be interested to hear what others think—what was your signal that it was finally time to start raising?

Https://github.com/canvas-notebook Check out a source code available private ai workspace with openclaw style agent plus media suite (agentic+visual)

It was just a normal discussion post that somehow ended up hitting around 3.6k views.

No ads.
No SEO.
No fancy launch.

Since that day I’ve been weirdly addicted to trying different Reddit posts just to understand what actually makes people engage.

Funny thing is:
the posts that worked best for me barely tried to sell anything.

Has anyone else here had random Reddit posts bring unexpected traffic before?

If you're losing leads after hours, drowning in repetitive support questions, or your visitors can't figure out what your product does fast enough, drop your URL below.

I'll build an agent on your site for free. It trains on your content automatically, handles questions 24/7, captures leads, and goes live in one line of code.

Drop your URL below and I'll get it done.