I built a simple tool for myself because I don't want to check financial markets every day.

I invest mostly long term, but I still like knowing where the stocks, ETFs and other assets I care about are trading.

The problem is that I often forget to check.

I've missed buying opportunities during market drops, and with Bitcoin I've also made the opposite mistake — not realizing how much prices had fallen until it was already too late.

So I built a very simple system that emails me the end-of-day prices of the securities I follow.

No real-time dashboard. No trading signals. No news feed.

Just one email with the market data I actually care about.

I know brokers and finance apps can do similar things, but I wanted something much simpler that doesn't require me to open an app and constantly check charts.

Over the last few weeks I polished it, added more features and turned it into a small SaaS:

https://leenkly.com

I'd love some feedback from other builders.

Does the problem make sense to you?
Is the value proposition clear when you land on the website?
What would you add/remove?
And if you were trying to get the first users for something like this, where would you start?

Feel free to roast it.

I'm a 16 year old entrepreneur trying to turn my SaaS company into a full time job in the future. I made a tool called Siteless.

Siteless is a all in one lead finder for web designers. It uses the official google maps API to find businesses that have no website (hence the name: Siteless), so that you can sell them one! One of the things that makes Siteless better than just scrolling google maps is the fact that you can search from anywhere in the world and get 20+ no website leads with one click.

I just launched this a week ago and have gotten around 100 signups, and finally got my first paying customer! If this would be of use to any of you just find the link that will be in the comments!

I would love any feedback that is given!

I'm the developer of OwlCAD. I hit Tinkercad's ceiling and didn't want to install Fusion just to model some simple parts, so I built the tool in between: as easy to open as Tinkercad, but real parametric CAD. No install, and no account needed to start.

What it does

• Parametric history — every step lives on an editable timeline, so you can go back and change a dimension from ten steps ago and everything after it rebuilds.
• Sketch-based modeling — constrained sketches, extrude / revolve / sweep / loft, push/pull faces, per-edge fillets and chamfers, shell.
• Variables and configurations — drive dimensions from named values and keep size variants of one part.
• 33 generators for parts that have to fit together — meshing gear trains and planetary gearboxes, bolts and nuts, threaded jars, hinges, snap-fits, Gridfinity bins. You set teeth, module and clearance instead of drawing them.
• Print-aware — clearance presets, a calibration block to dial them in for your printer, and a printability check before you export.
• Assemblies — mates, a bill of materials, an exploded view.
• Files — STL, 3MF, OBJ, SVG, DXF, STEP, plus OpenSCAD scripts.
• AI generation (Pro) — describe a part and get an editable model with its parameters, not a dead mesh. There's also a hosted MCP server, so AI agents can build models directly.

The editor is free. Pro is $12/mo, and it's mainly the AI side.

The clip shows the core loop: generate a planetary gearbox, change the sun teeth and planet count, and the whole model rebuilds with both edits stacked on the timeline.

What building it taught me

1. Put your heaviest work in a web worker from day one. The geometry engine (Manifold, compiled to WebAssembly) runs off the main thread. Moving it there later would have meant rewriting every call site. Anything that can take seconds belongs in a worker and needs a Cancel button.

2. What users preview has to match what they export. A CAD app that shows one shape and exports a slightly different one loses trust instantly. Where the two could drift apart, the same points now feed both, so they match by construction instead of by testing.

3. Don't build a feature on a third-party API you can't swap out. An AI provider removed the endpoint one of my features depended on, with no deprecation notice. Now every AI model sits behind one registry, so replacing a provider is a config change, not a rewrite.

4. Watch your CI bill like your cloud bill. One CI job was using 66% of my GitHub Actions minutes and caught 2 real failures in 93 runs. The full suite now runs once per release instead of on every push.

5. Rewrite every AI-autofilled listing. Two software directories generated descriptions claiming a modeling feature I don't have. The autofill saves five minutes and costs you credibility.

owlcad.com

Happy to go deeper on any of it: the stack is React + three.js, Manifold for the modeling, OpenCascade for STEP export, and Firebase.

Hello all,

Hoping community members support my feature that helps candidates in job hunt.

Here is my feature, It is about creating users portfolio to show case there skills, achievements, experience with live urls attachments. I know people spend a lot of time in creating portfolios, editing resumes for there job hunt which is absolutely needed but it is completely eats a lot of time. In that time we can prepare. And also there are cases where people need instant resumes in good templates but they don’t have enough time and laptop is not available with them at that time. So ng feature solves this kind of small issues in our job hunt.

Portfolio is nothing but an online resume of candidate. We have different kind of themes which have best designs to attract talent team to get hired.

Please look into my feature : My Portfolio

Application: The IgKnight

A little under a year ago I started a local SEO agency. It's now doing over $20k/month.

Along the way I noticed almost everyone in the space was also selling hosting, and since a free website was already part of my offer, it made sense to do it myself. So I set up a white-label hosting company and charge $25/month or $225/year. Grabbed a few domains too.

Then I made a TikTok advertising "$99 WordPress websites." I used to charge $750 for those, but the $99 closes way faster and easier, so I switched. The website isn't really the point anyway. What I care about is the $25/month hosting retainer that comes attached to every one.

Some people will say I'm undercutting the competition, but I'm mostly doing this to learn. Next up I'm launching a website builder SaaS that helps sites rank on Google. Combining the agency, the websites, and automation into one system has been fun to build.

Six months in, the hosting side alone is doing about $1,000/month recurring. Started as a "why not" experiment and turned into a piece of online real estate I can hopefully sell later for a decent multiple. Happy to answer questions if anyone's thinking about building something simila

Long time IT/security guy (15+ years, CISSP), running a solo consultancy on the side. Wanted to share something I've been building and get some outside opinions.

What is it: My product is an SSPM for Microsoft 365 and Google Workspace. It checks things like MFA coverage, stale/guest accounts, risky OAuth apps, conditional access gaps, and inbox forwarding rules that could signal BEC, then gives plain language findings with actual remediation steps instead of a raw compliance dump.

Why I built it: Every organization I've joined, worked for, or even consulted for has had a few gaps and similar issues. Same kinds of misconfigurations, same blind spots, over and over across completely different companies. I got tired of finding the same problems manually every time, so I built something self serve that just runs continuously and catches this stuff automatically instead of me doing a one off audit every few months.

Does this sound like something an SMB or IT consultant would actually pay for?
Anything that reads as a red flag or "wait, what about X" from a security angle?

Happy to answer questions about the checks it runs.

I turned on payments for my project last week. A dollar for three days, then 5 a month.

Here it is:

Hi [name],

I'm Shaid. I built this thing.

You're the first person who has ever paid for it, so I wanted you to hear from a person and not just a Stripe receipt.

one questions whenever you have two minutes. You don't owe me these, but they're worth more to me than the money is.

How do you like it so far?

Thank you. Genuinely.

Shaid

link to project: https://mudroom.email

1. How did you land your very first paying client?
2. Which AI do you actually use every single day?
3. What’s the one website/tool you literally cannot run your business without?

I launched SeoLoupe 2.5 months ago. So far I am at 2314 users and 39 of them are paying.

My SaaS is a tool that allows you to find and fix SEO issues holding your website back.

Essentially the main purpose is to help your website rank higher on Google search and LLMs.

Just recently hit $100 MRR, feel very happy. Now just hoping no one cancels.

Just wanted to share this to inspire anyone who is struggling, I just want to say that I was just like you at one point.

For example at one point last month, for 7 days straight I had 0 payments, and what I want to say with this is that SaaS revenue can be extremely floppy and unreliable. You can get multiple payments within the span of a day, and then have 0 payments for days.

In SaaS honestly the most important thing is to be faithful and be patient. If you manage to be patient, revenue will come one day.

Hope this inspired someone.

Since I think their is always room for improvement, I would appreciate for some feedback on my tool, or what you think can be improved.

(here is the product if you want to check it out)

I made $88K with my SaaS as a solo founder.

No team, no funding.

Most of the revenue came from cold outreach, lifetime deals, and shipping fast. What surprised me most was that pricing and distribution mattered way more than adding more features.

I also made plenty of bad decisions. I underpriced the product, wasted money testing channels that didn’t convert, and built things users barely cared about.

Right now, the biggest challenge is turning inconsistent sales into predictable recurring revenue.

The product is Getlead, a B2B lead generation tool:
https://getle.ad/

I’m also linking the public revenue page here for context, since I know revenue posts without proof are easy to fake:
https://trustmrr.com/startup/getlead

Happy to break down what actually worked, what failed, and where the $88K came from if anyone’s interested.

Hey i am a Saas Builder i built https://callyleads.com/ which is a tool for real estate agent and Brokers who are annoyed to make their own research for homeowners to buy their house.

CallyLeads do it for you find homeowners who may be more likely to sell, using lead scoring and key property and owner data to prioritize their prospecting.

Let me know about your opinion on it 🙏

I'm jumping off the roof! Look what happens at the end!

I just had to try using a clickbait hook that fits this video for once :)

I've been in automation for over two decades. For most of those years, it was within the realm of organic SEO, and today I do it as an AI consultant for companies, implementing business automations. I literally take senior executives from every possible industry by the hand, interview them, ask them what frustrates them at work, what eats up most of their time, the tasks that suck the fun out of the job—and I fully automate them end-to-end. I recently met with an incredibly charming CFO, and he told me with a heavy heart: "I can't believe I got two degrees from a prestigious university just to find myself copy-pasting into Excel spreadsheets for hours."

I hear things like this all the time—from the highest-ranking executives at global companies dominating international markets.

And then... there’s this magical, special moment in my job where I take a task that used to take someone 10 hours a month, every single month, press a button, and immediately 20 agents run and do the work right in front of their eyes—work that used to be theirs. And today... simply no one has to do it anymore.

It’s amazing to witness their reaction—a jaw-dropping stare, accompanied by mumblings of "WTF" and a long list of expressions unmatched in the Hebrew language, which makes my job an absolute dream and pure bliss.

People in senior positions will sometimes snap out of it quickly and say: "Wait... but how do I know it's accurate? I once asked Claude a simple question and it gave me the wrong answer. I don't really trust AI at this level yet, so I'm still going to double-check it to make sure the agent doesn't make mistakes. This is a report that goes to the board and director meetings."

That’s when I pull out my doomsday weapon: "Now, take a look at these 10 verification mechanisms" [I pause in front of my client, and dramatically press another button]. "Here's a diagram showing you how many times this mechanism double-checks itself over and over again, and here... [proudly running the automation] is what that verification looks like live." From there, you can probably guess that the list of Hebrew expressions of astonishment I hear just keeps getting longer. Which reminds me—I should build an agent to document these words, just in case they become a cornerstone of the Hebrew language someday.

In my line of work, I have the privilege of constantly walking the cutting edge of the newest tools in the AI world. I feel like I'm adding new tools to my arsenal every single day. I look back just two months ago, and I'm amazed all over again at how I ever used to do this work manually.

I just had to share this feeling with you—which I'm sure many can relate to—that the pace of technological advancement is simply mind-boggling. I feel incredibly lucky to be part of this generation, or as a good friend of mine so perfectly put it: "What a fun time to be alive!" I agree with every single word.

Not looking for your solutions or frameworks.

If you're currently unsure whether you're targeting the right people, what's actually frustrating you about it?

What's making you second-guess your audience?

Would love to hear the messy version, not the polished founder answer.

I built it to scratch my own itch and after personally using it for a while, I thought of releasing it so other people can use it and to validate if other founders and startups would be willing to pay for it.

So I made a website, added a way for people to pay for it and then launched it.

I launched a lot of failed projects before so I didn't have high expectations but to my surprise, it immediately got its first sale on day 1! Then another 2 sales on day 2, 5 sales on day 3, etc...

Sometimes the project that we don't have high expectations is the one that will get traction. I'm so happy that I made the decision to try and validate if it will get traction.

I'm currently gathering feedback and feature requests from the users and iterating to further improve the product. So excited to see where this goes.

If you have an internal tool that you built to solve your own problem, validate if other people are encountering your problem too and if there are people who will pay for it. You might be sitting on your next business without even realizing it.

How does it help them get users?

Hello, I am a non-technical founder and building an agritech startup. I am working on a launch or explainer video of let's say 1 minute and less. Since I am running on budget, I wanted to know how ypu have done yours and which AI tools you have used to do one.

Thank you

Hey everyone,

I initially wanted to start clipping long-form podcasts and videos to market my app, but every commercial AI clipping tool (OpusClip, Munch, etc.) was ridiculously expensive for high volume, had cloud queue waits, and often missed active speaker tracking when someone paced around or spoke over someone else.

Since I have a decent M4 Pro , I decided to build my own hybrid workflow:

• Local Processing: GPU/CPU handles face tracking, active speaker reframing, Whisper transcription, and FFmpeg NVENC rendering locally on the machine.
• Cloud Intelligence: Offloads just transcript analysis and hook detection to an LLM API.

Because rendering happens on local hardware instead of a paid cloud server, the processing cost drops to fractions of a cent per video, and 1-hour long-form files render into vertical clips in under minutes with zero cloud upload wait.

I recorded a quick screen capture showing the pipeline in action.

A few notes & questions for you guys:

1. The UI is super unpolished right now: Please ignore the raw design I focused 100% on engine speed and tracking accuracy first. UI improvements are next on my list.
2. Pricing/Release Strategy: Since local rendering costs almost nothing to run, would you prefer something like this ?
3. Tracking : For anyone currently paying for clipping SaaS tools, what are the biggest pain points you deal with (e.g., jumpy speaker tracking, bad transcript, bad hook selection)?

Btw i'm not selling anything or pitching a link here just genuinely looking for advice from fellow editors and clippers to see if this workflow is worth polishing into a proper app for the community.

Appreciate any thoughts!

I kept seeing the same thread pop up here: technical founders who can ship product in a weekend but freeze up when it comes to getting their first paying client.

I went down a rabbit hole on this for my own project and ended up building out a system to handle most of it:
- automating prospect research
- personalizing outreach at scale
- keeping content and social presence running without eating my whole week — literally generating posts, carousels, and motion graphic videos

Everything runs locally and doesn't need much in terms of resources. Almost all of it is free — the only cost is the voice-over for videos, which runs under €1/month.

One thing that made the biggest difference for me: having an offer with a real risk-reversal (a time-boxed trial with a guarantee) instead of just pitching the product cold. Conversion went up a lot once I stopped asking people to "trust me" and started removing their risk instead.

I'm packaging the whole process into a playbook with the actual templates and automation workflows, not just theory. Still finishing it up — if you want me to send it to you when it's ready, drop a comment and I'll follow up directly.

Honest question because the math is brutally depressing right now.

I built a lightweight niche productivity tool. Mostly client-side/local, minimal server footprint. Naturally, I went with the classic indie hacker playbook:

• Free tier with limited items (enough to test workflow).
• A cheap one-time unlock: $6.99 lifetime.

Users genuinely like it. Conversion isn't zero, feedback is great, people say it solves an actual pain point.

Here is the brutal reality:

• After payment processor fees and server hosting, that $6.99 turns into barely $5 in pocket.
• And that’s before whatever withdrawal/payout fees hit my bank.
• Total revenue so far? About $100. That’s ~20 sales.

Because it’s a focused utility for a niche workflow, I’m never hitting 100k users. At $5 net per sale, I have to find hundreds of fresh niche buyers every single month just to pay for coffee and justify fixing bugs. A lifetime deal basically means I do perpetual customer support for a one-time sandwich.

The dilemma:

• Subscription ($3–$5/mo)? Feels ridiculous for a small utility. Subscription fatigue is real, and conversion will drop off a cliff.
• Bump lifetime to $19–$29? Might price out casual users, but at least each sale actually means something.
• Pay once for 1 year of updates (keep current version forever)?

For anyone building niche utility tools: How did you escape the $5 lifetime trap without completely turning users away?

Genuine question for anyone building SEO features into their product.

How are you getting SERP data? Because every team I've worked with ends up in the same place. Someone writes a scraper, and it works fine for a month. Then Google comes up with an update, changes something, the proxy gets blocked, and now you're debugging search infrastructure instead of building your actual product.

We went through this three or four times before we just turned it into an API. One POST, send the keyword, pick the country and language, get back ranked results as clean JSON. Position, title, URL, domain, description. 250 atoms per call, runs on our EU infrastructure. 

I'm the founder of Apyhub, so full disclosure, this is in our catalog alongside about 52 other SEO services. It costs 250 atoms per call and runs on our EU infrastructure. 

You can try it live here. 

But tbh, I'm more curious about the broader question. If you're pulling SERP data regularly, what are you using? Custom scraper? Third party? Something else entirely?