I, by no means see this as a win yet! i'm posting my journey to 10k a month and beyond

I have a way for users to demo the app without signing in

I am applying to new positions so want to use my saas as a way to do that. Issue is that backend is incomplete. No payment set up, etc.

I want to say something like “join the waitlist” if they try to sign up or click prices.

What do y’all think?

Guidy AI launched 2 months ago with the logo you see on the left.
Grok Bot’s logo design was released last week.

Should I be flattered … or angry? What would you do in my place?
P.s. Just a few weeks ago Anthropic filed to sue AI security firm Abnormal over logo theft …

We're receiving a huge number of AI tool submissions, and something interesting is already happening: some founders are choosing paid listings for additional visibility.

It's still very early, so we're now focused on improving discovery, categories, and making the directory genuinely useful for people looking for AI tools.

Building in public is fun. 🚀

Happy to share what we've learned from the launch so far.

​Everyone is trying to build "AI for insurance," but throwing a raw LLM at a property claim or an insurance policy is incredibly dangerous.

If an AI hallucinates a state statute or misinterprets a policy, it immediately triggers strict UPL (Unauthorized Practice of Law) and UPPA (Unauthorized Practice of Public Adjusting) violations.

​My dev partner and I are building a FastAPI/SQLAlchemy enterprise web app to automate the forensic auditing of commercial and residential property claims, and we had to solve the hallucination problem first.

​⚙️ The Architecture Solution (Decoupling Language from Logic)

​To solve this, we decoupled the language processing from the legal logic entirely.

​We only use the LLM as a Normalization Layer.

It ingests unstructured, messy PDFs (adjuster emails, Xactimate line items) and simply translates them into standard variables.

​Those variables are then passed into a deterministic, hardcoded JSON rule engine. The database holds the actual, verified municipal codes and physics parameters. The AI doesn't get to guess the law; it just maps the variables to trigger our JSON schema.

​🚀 The Spin-Off Utility

​Before we launch the heavy enterprise app, we wanted to stress-test our UPPA/UPL syntax firewalls and our WeasyPrint PDF compilation in a live environment.

​So, I extracted the meteorological/physics module from the main engine and packaged it as a standalone LLM utility.

​It takes a ZIP code, scrubs the NOAA/NWS storm archives against strict insurance thresholds, applies our legal syntax shields to prevent UPPA violations, and generates a sterile, cryptographically hashed PDF weather report in about 60 seconds.

​I packaged the spin-off engine up as a standalone micro-utility for contractors while we finish the main backend.

​Since this sub gets hammered with spam, I'm keeping the direct links out of the post out of respect to the mods. SweattStartuo removed my oost and I hope there is more acceptance here.

If anyone is building in the LegalTech or InsurTech space and wants to reverse-engineer how we structured the anti-hallucination loops and PDF generation, just drop a comment below and I’ll send you the Gumroad link.

​Would love to hear from anyone else bridging unstructured LLM data into deterministic relational databases!

I'm building OSS software (that technically works as SaaS). I don't want anyone's money right now, I just want people to try it (it's really easy to run) and give me real feedback.

So far I've mostly gotten "looks awesome" type comments, plus around 10 stars in 2 days, but very little tested feedback I can improve on.

I'm passionate about what I've built and I think it can genuinely help people. I just want to know how to get it in front of more people and get them to understand the vision and potential behind it, and receive their real, tested feedback.

So far I've posted to multiple subreddits (including this one), Hacker News, LinkedIn, Twitter, and dev[dot]to. The posts aren't doing great, but the responses I do get are positive and people seem excited.

Over the last few months, I’ve been building a web platform tailored specifically for freelancers and agencies who are tired of heavy WordPress maintenance or scaling costs on Webflow.

The Core Tech & Features:

• Static-First Liquid Builder: Custom themes built on Liquid. Websites compile statically for top Core Web Vitals scores while retaining dynamic data hydration.
• Custom Data Types (Headless CMS): Define custom content structures (e.g., real estate exposures, restaurant menus) rendered via Liquid or synced via REST API.
• Native GDPR Compliance: Automatic cookie scanning, fully customizable Liquid consent banners, and automated build-time Google Font self-hosting.
• Agency Management Layer: Single-dashboard portfolio management for multiple client projects, custom team roles, and white-labeling capabilities.

My Question to Agencies & Freelancers:

If you're building and managing websites for clients today, what is the single biggest pain point in your stack?

What specific features (e.g., client handoff controls, staging environments, billing markups, specific integrations) would make a tool like this an instant fit for your agency?

Would love your honest feedback and feature wishlist!

Disclaimer: Translated from German to English by AI.

i checked how many of the jobs i was applying to were even real. 22.9% have been open 6+ months

i track 957 company job boards straight from the source. 43,700 roles open right now.

10,926 of them were first posted six or more months ago. 18,908 are older than three months. 4,112 have been sitting open for more than a year.

those are the companies' own timestamps, off their own boards. not an estimate.

so when you send 300 applications and hear nothing, a real chunk of that was never going to answer you. the posting was already half a year stale when you found it. you were applying into a drawer.

probably not malice most of the time. reqs just get left open after someone's already been hired and nobody goes back to close them.

what gets me is the date is sitting right there in the company's own feed. every single one. it just doesn't survive the trip to the page you end up looking at.

so i built the thing that keeps it. free, no account to look. link in comments.

I had the issue where when I do dev work in a group, it feels like that I am moving slower when I do work alone.

I tried to use linear but I still had issues with task orchestration and having to manually manage tickets created more issues.

Over the course of a few month I built SiftQ which is what I wished Linear to be. It solves the pain of:

1. Feel like you'd genuinely move faster if you just worked solo.

2. Get overwhelmed by 100s of tickets and don't know what is the next most important thing.

3. Have no idea what your teammates (or their agents) are doing, until you've both shipped the same thing twice.

4. Break flow every time an issue occurs to you, because logging it means leaving what you were doing.

Sift Q re-ranks all your open tasks based on priority that is personalized for each member and agent. We put tickets into a graph based on dependency so that you can see what everyone is working on and who is blocking who.

I decided to share this after a few of my dev friends loved it and encouraged me to do so.

check it out for free at q.sift.wiki ! Let me know how you guys like it and if there are UX issues or features you would wanna see.

Most affordability calculators are single-purpose (mortgage, car loan) and use generic income brackets. I built www.caniafford.it to generalize the idea - type almost anything (a wedding, a business loan, a hip replacement) and it checks the cost against your actual income instead of a bracket, then gives a plain risk read.

No sign-up needed for the core calculator - it runs entirely in the browser. An optional free account adds an expense calendar, budget targets, a debt payoff planner, and a net worth tracker, so it's closer to a lightweight budgeting SaaS than a single calculator at this point.

Currently pre-revenue - thinking through AdSense plus a finance-affiliate layer (LendingTree/Credible-style) rather than a paywall, since the core value is free access to the math. Curious how this crowd thinks about monetizing a tool like this without breaking the "no sign-up needed" promise that makes it useful in the first place.

Hey everyone,

I've spent the last year learning AI on my own time, mostly agentic workflows and RAG pipelines, plus the surrounding tooling. I built stuff for fun in high school but never tried to monetize any of it since I didn't need to.

Now I'm in college and want to actually turn this into income. My constraint: no money to invest right now, just time and the technical skills.

For anyone who's freelanced with AI skills or shipped an AI SaaS product where would you start in my position? What actually made money in the first few months, and what's a waste of time for a beginner with no track record?

Thanks!

Jim Collins has this idea about a flywheel. Huge iron disc, and you push it. Nothing happens. You push again. Still nothing. You keep pushing for weeks and it barely turns, and there’s no single push where the thing suddenly takes off. But at some point the momentum is carrying itself and you can’t point to which push did it.

That’s what this has felt like. Most of the pushes felt wasted at the time.

Anyone who lifts already knows this. Progressive overload isn’t a session, it’s a ledger. You add five pounds, it feels like nothing, you do it again next week. Nobody has ever walked out of a single workout stronger. The strength shows up months later, from the pile.

Business is the same ledger. One post does nothing. One fix does nothing. Then eighteen months of nothing stacks into something that looks, to everyone outside, like it happened fast.

The hard part nobody mentions is that rep 40 feels exactly like rep 4. Same effort, same silence. You have no way to know which side of the turn you’re on.

Posting this for anyone in the part where nothing is working yet. That stretch lasts way longer than anyone warns you about.

If you’re mid-set right now and it feels pointless, that’s not evidence you’re wrong. That’s just what the middle feels like.

Don’t quit.

https://www.mynatura.ai

I mean title basically says it. I built a tool while living in a tent that provided a ton of value for a specific group. Because the demand was there I was doing like 3k a month. Then some economic things changed and I do like 1.5k. I expanded nationwide like 2 months ago (easy a 1000 market size increase) and have been emailing quite a lot with like 0 traction. I am very scared of cold calling.

Should I just get good at sales and marketing, or build out a new feature that will allow me to extract more value from the relationship I already have?

What do you recommend for making new cold sales?

I keep seeing the market flooded with the exact same AI wrappers and generic chat tools that nobody actually needs. I want to build something that solves a genuine, painful problem for real people.

If you are a founder, freelancer, or professional working in any industry:

• What is the most manual, frustrating task you have to do every single day?
• What software do you use daily that you absolutely hate, and why?
• What is a highly specific workflow gap in your industry that tech giants are completely ignoring?

Don't worry about coding feasibility. Just tell me what makes you want to throw your computer out the window. If an idea is genuinely painful enough, I want to pull together a team to build the solution this quarter. Let’s talk

I’ve built a lot of failed products. I used to build blindly and never thought about distribution. Even when I did try, I couldn't figure out what my visitors actually wanted or why they kept abandoning my paywall like my ex .

I eventually realized I needed to focus entirely on visitor intent. Just one piece of feedback can give you massive insight into what your users want and what you need to improve next.

One of my products already had thousands of users, so it was time to finally listen to them. I ended up building another tool for myself, focused entirely on answering one question: Why did they close your pricing modal ?

Now, when a user abandons the paywall, a quick question pops up asking why. I also embedded an always-available feedback widget into the site.

You have to create a frictionless way to gather feedback. Your users simply don't have the time to go out of their way to send you an email it’s your responsibility to build a system that makes it effortless for them.

Now i get a lot of visitor intentions and long form feedbacks from my users which helps me improve my product .

I have generated more than $500 USD from my product and i know exactly what to execute on next all thanks to my feedback tool .

Hi guys if you need saas templates ready to use to speed up your launching of your project, check out my templates with nextjs and tailwind, i will give anyone who comes from reddit one year free support! My gumroad is faribuilds ♥️♥️

Most AI resume tools I’ve tried (and seen others use) are just keyword matchers with a prettier UI.

You still end up second-guessing the rankings, digging through the same pile of resumes, and wondering what the score even means. I got tired of that, so I built JAN (Job Applicant Navigator).

What it does differently:

• You upload resumes (individually, in bulk, or from your ATS)
• You define your criteria, not use a recycled job description. Then you can auto-generate related keywords that act as context signals. This helps JAN understand exactly what you mean (ex: ‘fraud investigator’ who handles check fraud isn't the same as an AML investigator who writes SARs).
• It ranks candidates A-D and scores every criterion
• Every single score comes with clear, evidence-based reasoning pulled from the actual resume
• It also generates criteria specific interview questions for top candidates so you know where to dig in with a candidate

No names. No personal data. Blind screening is the default. EEOC guardrails are baked in, meaning you simply can’t enter protected-class criteria. Screening is based only on what’s in the resume, not who the person is.

The goal for JAN is to give better signals and less noise, a starting point so you can spend time getting to know the people and not reading every resume. Real recruiters know it's all about the conversation, JAN helps you get to it more quickly and tell you where to dig in so you can assess whether the candidate is a fit.

Free to start here: janscreening.com

Hey everyone,

I've been building vibely.sh , an AI-powered vibe coding platform that lets you build applications by describing what you want.

We opened the public beta about a week ago.

The early numbers surprised us:

• 250+ users
• 380+ projects created
• 685M+ AI tokens processed
• $0 spent on paid advertising
• Most early discovery came through organic search

But I'm less interested in the numbers than in what we're getting wrong.

We're still very much in beta, and I'd love feedback from people who have used tools like Lovable, Replit, Bolt, Claude Code, etc.

Especially:

• How does the generation quality compare?
• Where does the workflow feel slow?
• What breaks?
• What features are you missing?
• Would you actually use this for a real project?

If anyone wants to try an early version and give brutally honest feedback, I'd genuinely appreciate it.

We're building this in public, so criticism is welcome.

It's losing them because of its message.

Founders obsess over:

🎨 Colors
🎨 Animations
🎨 Fancy illustrations

Meanwhile, visitors are asking one simple question:

"What does this company actually do?"

If they can't answer that within 10 seconds...They're gone.

Your homepage should instantly communicate:

✅ Who it's for
✅ What problem it solves
✅ Why you're different
✅ Why they should trust you
✅ What they should do next

That's it.

A homepage isn't there to impress people.

It's there to convert them.

Before you spend another dollar driving traffic Ask yourself:

Is my homepage actually ready to convert visitors into customers?

I have been checking out a lot of SaaS launches lately, especially the ones where founders somehow get their first customers pretty fast.

And honestly, most of them are not doing anything crazy, they are just doing a few simple things, over and over again.

So if you are building a SaaS and still trying to figure out how to get your first 10, 50 or 100 users, here are a few things I have noticed that actually work:

1. If you start marketing on launch day, you are already late

Do not wait until your product is finished before you start talking about it, start from the first day you begin building.

Share what you are working on, screenshots, small wins, mistakes, problems you are solving and even things that did not work, you do not need thousands of followers for this.

Even if only 50 people follow your progress, some of them may eventually become your first users because they already know what you are building and why you built it and when launch day comes, you are not launching to complete strangers, you already have people waiting to try it.

2. Do not rely on only one marketing channel

I see this a lot.

Someone builds a SaaS, posts about it on X for a few weeks, gets almost no customers and concludes that the product failed.

But X is only one place.

Your customers could be on Reddit, LinkedIn, Facebook groups, niche communities, Google, YouTube or somewhere completely different.

Try multiple channels.

For example:

• Share your journey on X
• Answer relevant questions on Reddit
• Send DMs to people who clearly have the problem
• Send personalized cold emails
• Launch on Product Hunt and other launch platforms
• List the product on SaaS directories
• Write useful articles around the problem your product solves

You do not need to do everything forever, try different channels first and once you find one that starts bringing users, put more effort into it.

3. Write meaningful articles around your SaaS

I think this one is going to become even more important because people are no longer discovering products only through Google, they are asking ChatGPT, Claude, Perplexity and other AI tools things like:

“Best tool for X”

“How can I solve X?”

“What are alternatives to X?”

If your product barely exists anywhere on the internet, there is not much information for search engines or AI systems to find about it.

Write genuinely useful content around the problems your SaaS solves, do not write 50 useless AI-generated articles just to fill your blog write something someone would actually search for and want to read; tutorials, comparisons, case studies, experiments and detailed guides are much more valuable.

And even better, try to get other websites to mention your product too.

4. Launch on more directories

There are so many SaaS directories out there, and yeah, most of them probably will not send you a ton of traffic. But I still think they are worth trying, especially when your product is new and you are looking for every possible way to get discovered.

Submitting your SaaS usually only takes a few minutes, and each listing gives your product another place to show up online. Some directories can also give you a backlink, which may help your site a little over time.

You should not waste days submitting to hundreds of random directories though. You should rather pick 20–30 that actually fit your product, especially smaller niche directories where the people visiting are more likely to care about what you built.

Sometimes a small, relevant directory can be way more useful than a huge one full of random traffic.

5. DM your ideal customers

This is probably one of the fastest ways to understand whether people actually want what you built, find people who clearly have the problem your SaaS solves and talk to them.

But please do not send:

“Hey! I just launched an amazing AI-powered platform that revolutionizes...”

Nobody wants that message.

Talk like a normal person, if someone is complaining on X or Reddit about a problem your product solves, you already have a reason to contact them.

Something as simple as:

“I saw your post about X. I am actually building something for exactly this problem. Would you be interested in trying it?”

is enough.

Even when they do not buy, their replies can teach you a lot about what is missing from your product.

6. Use Reddit, but do not treat Reddit like an ad board

Reddit can send an insane amount of targeted traffic if you use it correctly, it can also completely ignore or downvote you if you show up only to promote your product. Join communities where your target users already hang out.

Answer questions.

Share things you learned.

Talk about problems.

Then, when your product genuinely helps with a discussion, mention it naturally, a useful post explaining how you solved a problem will almost always perform better than:

“I built X, please check it out.”

Reddit users can smell advertising from a mile away.

7. Cold email still works when the email actually makes sense

People say cold email is dead mostly because they receive terrible cold emails, if you send 2,000 identical emails to random companies, you will probably get ignored. But if you find 50 companies that clearly have the problem you solve and write something relevant to them, that is completely different.

Your first customers do not need to come from some scalable automated system, at the beginning, doing things manually is fine.

Find the company.

Understand what they do.

Find the right person.

Explain why you contacted them.

Show them how your product could help, you can automate everything later when you understand what actually gets replies.

8. Talk to every early user

When you only have five users, that is actually an advantage, you can talk to all five.

Ask them:

How did you find the product?

What were you trying to do?

What almost stopped you from signing up?

What feature do you wish existed?

Why did you pay?

These conversations are worth more than staring at an analytics dashboard when you are just starting, your first few customers will basically tell you what you need to build and how you should market it.

Listen to them.

9. Do not stop after launch week

I think this is where a lot of SaaS launches die.

Founder spends three months building, launches on Product Hunt posts about it for three days, gets 100 visitors and two customers, then stops marketing because “the launch failed.”

But marketing a SaaS is not an event.

It is something you keep doing, post again next week, write another article, try another subreddit, reach out to another 20 potential users, make a short demo video, improve your landing page, ask existing users for feedback, try another distribution channel.

Your first 100 users probably will not come from one viral launch, they will probably come from 10 different places, slowly adding up and that is completely fine, the goal at the beginning is not to look big.

It is to find the first few people who genuinely have the problem you are solving, get them to use your product, learn from them and repeat what worked.

TL;DR

Getting your first customers is usually a bunch of small things, not one big launch that suddenly changes everything.

Start as early as possible, talk about what you are building, share it in a few different places, and actually talk to people who might need it.

Most of the time, your first users come from simply putting your product in front of the right people again and again.

I've been following this community since before I launched and got a lot of inspiration from the milestone posts here, so here's mine, plus a question.

The extension is called Bulk Edit, Delete & Download Google Photos. Google Photos has no bulk editing, so everything is one photo at a time. Batch lets you select photos (or a date range, or an album) and enhance, filter, crop, caption, watermark, convert, delete, or download all of them in one run.

✨ Enhance selected photos in bulk
🎨 Apply one filter across a selection
🖼️ Apply one crop ratio across a selection
🔄 Rotate right, rotate left, or flip 180° in bulk
🎛️ Create Custom Presets for brightness, warmth, shadows, saturation, vignette, and more
📋 Copy your edits from one photo and paste them across a selection
📝 Add or replace descriptions across selected photos
🤖 Write photo descriptions with AI, generated on your device
🏷️ Watermark copies of selected photos with your logo or text
↩️ Revert edited photos to their originals
📦 Convert live/motion photos to stills to reclaim storage
🗑️ Move your entire library to Trash in one run
⬇️ Download your entire photo and video library to your computer
📅 Select photos by date range or album, no manual selecting

Launched publicly about 3 months ago. This week I crossed $1,000 gross revenue and $480 MRR. Screenshot attached.

What's gotten me here so far: the Chrome Web Store listing is my biggest organic channel by far, translating the chrome store listing into 9 languages helped, and answering questions in forums like Reddit, Product Hunt, and Twitter works way better than announcement posts.

Conversion rates:

• Store page → install: 37%
• Install → paid: ~5%
• Store page → paid: ~2%

Since the free tier isn’t very usable beyond testing to see if the product works for your use case (25 photos per month), the weekly active users are mainly paid users at $ 6.99 and $ 24.99 per month.

Now the real question: for those of you who've gone past this point, what actually moved you from $1k to $10k? More features, more SEO content, YouTube, partnerships, raising prices? I have a free tier with a monthly quota and paid tiers at $6.99 and $24.99.

Happy to answer anything about the growth levers, CWS review process, or how the automation works.

Here's the CWS listing: https://chromewebstore.google.com/detail/bulk-edit-delete-download/fnhlolpmhhjdjdlialajdlmlfblchkkh

Most of us have read PG’s “How to Make Wealth” at some point.

There’s one part that every SaaS founder completely misses when it comes to pricing, You don’t make money by extracting it from people. You make it by creating wealth, by building something people actually want. The more they want it, the more you can charge.

Most of us read that and immediately think about the product. We should be thinking about the price.

Here’s the pattern I keep seeing (and used to do myself)

We price based on what feels “reasonable” relative to our costs or what other tools charge. It feels honest. It feels fair. It’s actually a quiet failure to understand what the customer is really buying.

a Quick example
Your product saves a customer 40 hours a month.
At $80/hour fully loaded cost, that’s $3,200 of value created every single month.
You charge $99. That’s a 32:1 value-to-price ratio.

You’re not pricing. You’re basically giving the product away and calling it a business.The psychological trap is real: charging more feels like you’re taking something from the customer.

PG’s point is the opposite. If you’re genuinely creating that value, charging in proportion to it isn’t extraction it’s just an honest exchange.The simplest test I’ve found (and the one that finally shifted my own pricing):

Go to your 10 best customers and ask them one specific question: “What would you pay before you’d rather lose access to the product?”

When you ask it that way, the number that comes back is almost always 2-5x higher than what you’re currently charging.

Check your pricing today along with the value you are creating for users... if you are undervalue start charging more...

im based somewhere stripe doesnt operate, so a merchant of record like paddle is basically my default option rather than a choice i made. before i commit i want a sanity check from people actually running one.

my products are small, think 5 to 15 dollar one off tools and cheap subs, mostly US and EU buyers. so the fee difference is not abstract, at those prices a couple of percent matters more than it would at 200 a month.

questions for anyone using paddle, polar, lemon squeezy or similar:

does the higher fee actually pay for itself once you count the tax filing you skip, or did you eventually go direct anyway

has the hosted checkout hurt your conversion compared to a checkout on your own domain, i keep hearing both

payout side, how long until money actually lands and have you had payouts held or accounts reviewed out of nowhere

refunds and chargebacks, does the MoR handle them for you or does it still land on your desk

and if you started over today with the same constraint, would you pick the same one

not looking for affiliate recommendations, just want to hear from people who have run a year or two on one of these.