so I am working on project where you just need to give it the link of your website or any content and it will make an explainer video or promo video like the video attached with the post , the system is running locally only my device mostly its code based and some local models.
I used it for two clients as extra bounce and they loved it shared with afew fiends and they said you should saas it . but before going through all that . I though will take more opinions .

what do you think could this sell ?
and what target customer or nite I should make it for ?
in case you honestly think it could see what's the monetization model or the price per video ?

if you like to give it a try and a honest feedback and useful advice .
please drop your website or saas link in the comments
and I will drop you the result for free and without watching it even . so its an honest build in public test .

I can't give the whole context but I'm working on an app that requires users to enable sms permissions on their app (It's not anything suspicious lol). Now since apks aren't trusted by the android OS and inorder to use it through an apk you need to do the following -

1) Disable play protect before downloading

2) Enable restricted settings as sms permissions are qualified as restricted settings

Now as you'd figure this app is obviously way out of scope for an apk as no one would go through all this hastle while downloading.

Launching it on playstore is something that could be done but yeah I haven't researched that well on it but I've heard it's quite difficult to get it out there and have them enable permissions as well.....

I cant launch this as a website either as sms permissions won't work in the background while the web app is closed...

Guys if anyone has any genuine solutions or loop arounds please let me know...🥹 Any help is genuinely welcome

One month:

50 leads.
10 demos.
3 customers.

Next month:

15 leads.
3 demos.
0 customers.

So, the team responds:

“Let's increase ad spend.”
“Let's do more outbound.”
“Let's hire another SDR.”

But before adding more activity, diagnose the pipeline.

There are 5 things I'd look at:

1. ICP
   

Are you consistently targeting the people most likely to buy?
If your audience keeps changing, your pipeline will too.

1. Positioning
   

Does your prospect immediately understand:

Who you help.
What problem you solve.
Why you're different.

1. Acquisition channel
   

Do you have one channel that consistently puts your ICP into the funnel?
You don't need 7 channels.

You need one that works well enough to build on.

1. Conversion
   

Where are prospects dropping?

Visitor → Lead
Lead → Qualified
Qualified → Demo
Demo → Opportunity
Opportunity → Customer

Don't fix the whole funnel.
Find the biggest leak.

1. Demand creation
   

If you're only generating pipeline when you actively prospect, you don't have a demand engine yet.

Build assets that create demand before the buying conversation:

→ Founder-led content
→ Customer stories
→ Educational content
→ Case studies
→ Lead magnets
→ Communities
→ Partnerships

The goal isn't to generate more leads every month.

It's to make your pipeline more predictable.

And that starts with understanding:

Who → Why → Where → How → What converts

That's also why I believe you should diagnose your growth engine before scaling it.

If your pipeline feels unpredictable right now, where is the biggest leak?

ICP → Acquisition → Qualification → Conversion → Closing

Drop it below.

Hey everyone! I’ve been building a tool that consumes a lot of AI tokens, and my API bill is getting pretty high.
I’ve already tried using smaller models for simpler tasks and larger models for more complex ones. I’ve also implemented prompt caching and optimized my backend as much as possible. I’m fine with slower response times as long as the results are accurate, so speed isn’t a priority for me.

I’ve also considered hosting a model from Hugging Face myself instead of relying on smaller API models, but the accuracy has been pretty disappointing.

For those of you who’ve dealt with similar issues, what approaches have worked best for you to reduce AI costs without sacrificing accuracy? Is self-hosting a good option, or are there better alternatives I’m overlooking?

In this example, it is creating a tutorial video for one of its own flows on how to get started in Cormaa.

Been building my product for a while, and someone finally decided to buy it. Thought this was the moment I'd been waiting for… turns out they had insufficient funds 💀😂

Btw here is the link: https://mockframe.app

Every hackathon goes the same way: “need 1 frontend dev” gets posted in five WhatsApp groups, nobody knows who can actually build, and half the teams form the night before.

So I built CrewForge:

crewforge.online

Hackathons sync daily from Unstop. About 75 open coding hackathons right now. Business-plan contests and quizzes are filtered out, and each card shows the deadline, team size and mode.

Post your team with the roles you’re missing (frontend, ML, design…).

Solo? Apply to a team with your role and a short note. The team owner accepts or declines, and gets your contact only if you choose to share it.

No real names or emails are shown. Everyone appears as an anonymous builder handle, and your GitHub or portfolio is optional.

Free, and open to every college.

It’s early, and very few teams are on it yet, which is exactly why I’m posting. If you’re heading into a hackathon in the next few weeks, put your team up and see who applies.

What I’d love from you:

Would you actually use this over WhatsApp or Discord?

What would make you trust a stranger as a teammate?

What’s broken? Tell me.

https://crewforge.online

I went through 24 well-known SaaS homepages and checked every line of copy against a list of 55 things: clarity, trust, friction, that kind of stuff.

The most common failure by a distance: 21 of 24 put a signup button on the page and say nothing next to it. No price, no "no card needed", no "takes 2 minutes". The visitor has three questions at the moment of clicking and the page answers none of them.

Only three got it right. Monday, Mailchimp and ClickUp put "No credit card" directly under the button. That's about five words of copy.

Other things that showed up:

16 of 24 had at least one high-severity issue. These are big companies with real copywriters and real budgets.

Zero of the 24 H1s lead with the visitor's problem. Almost all of them describe the product or a vague outcome instead.

Testimonials often didn't match the buyer. A solo founder landing on the page sees a quote from an enterprise VP and has no reason to believe it applies.

On headline clarity, Mailchimp, Trello and Basecamp read fastest. Webflow, Asana and Airtable were the hardest to parse in one pass.

I'm not claiming the missing line costs them conversions. I can't see their data. The research on friction says the line should help, but a company at that scale has probably tested something I haven't seen.

Has anyone actually A/B tested that one line?

Hello Founders,

I wanted to share the story of SERPSpur as it started an year ago and finally its getting alot of traffic as well as engagement rate of 1.7% engagement rate.

conversion rates : around 1% approx which was low in start because of targetting wrong audience,

Initially I targetted everywhere (means worldwide to see whats we are getting and where is the potential)

So we got the correct path and welcoming audience in multiple places, basically SERPSpur is the competitor or giants like Ahrefs, Semrush, moz etc and its the next generation tool which offers following stats
Where old giants offer use it or loose it approach and SERPSpur offers never expiring credits
Small businesses are worries about the services they dont want to use and softwares pushing them to buy , so I solved the problem and offered credit system with PAYG as well as subscription (including credits) so users can use it for anything they want.
There are also outdated metrics in the market e.g Domain authority, Page authority, Spam scores, AS as authority score and Domain Ratings, which can be manipolated easily and you can get the gig of $5 to reach the highest. so I introduced TAI (Traffic authenticity score ) which can't be manipolated and strogly checkes the bot footprints, traffic sources, keywords, difficulty, and alot of other things to analyze the Authenticity score for the traffic which helps the website owners to get the real traffic of prospect they want to get backlink or buy a website .

I need your suggestions on this and how also looking for experts who would like to join the team , or provide suggestions how we can increase the engagement rate of the organic and paid ads

Thank you.

I've been experimenting with AI tools to create animated YouTube Shorts and Instagram Reels, and one thing I've noticed is how difficult it is to get a video that actually feels complete.

Generating individual images or clips is relatively easy. But getting a consistent animation style, a decent storyline, matching visuals, voiceovers, and smooth transitions is a completely different story.

I've been exploring a few styles, like 2D animated explainers, horror illustrations, clay animation, graphic novels, and animated history/map videos.

What interests me is the possibility of going from a simple topic to a complete animated short without spending hours switching between different tools.

But I'm curious how people here actually approach this.

If you're creating faceless Shorts or Reels, what's your current workflow? Are you using AI for the entire video, or just parts of it and editing everything manually?

And do you think AI-generated animated content is getting good enough to build a channel around, or does it still feel too generic?

Would love to hear what has and hasn't worked for people who've tried this.

Hey everyone! 👋

I'm currently building eShopFoundry, a project aimed at making it easier to create and customize online stores.

I've been working on the foundations of the platform, and the store template is getting close to completion. So far, I've built the product pages and shopping cart, while also setting up the company website, policies, and email templates.

But I have a bigger vision for the project.

I want to make creating and managing an online store as simple as possible. One of the main ideas is to integrate AI so that users can describe what they want in plain language and have the AI make changes to their store for them.

Instead of spending time navigating settings or figuring out how to customize everything, you'd simply tell the AI what you want.

The AI integration is still part of the roadmap, and right now I'm focused on getting the fundamentals right.

This is my first time sharing the project here, so I'm curious:

What do you think is the most frustrating part of setting up and customizing an online store?

I'd love to hear your experiences!

For the last few months I've been building a tool where you paste a job link and get a CV and cover letter tailored to that job.

I knew going in that this niche is crowded. Big resume apps have been around for years. They have the SEO, the budgets and the brand names.

So I couldn't win by having the most features. I had to find another way in.

What worked: blog posts and free tools

I wrote a lot of blog posts aimed at the questions my users actually search for. Then I built small free tools: an ATS checker, a keyword checker, a bullet rewriter, a weak words checker, a gap explainer, and a few more.

Each tool solves one small problem without asking for anything. When you finish, it offers the next step: "want to fix this for a specific job? sign up and tailor your CV." Some people sign up, some of those tailor a CV, and a few of those pay.

It's slow, but it's the only channel where I'm not up against companies with 100x my budget.

Mistake 1: one payment option

At first I only sold a single one-time payment. Lots of people got all the way to checkout and then left.

My guess was that job seekers are already stressed about money and don't want another bill, so a one-time price made sense to me. The checkout data said otherwise.

What I changed: let people pay the way they want

Now there are three options:

- Monthly: $9.99

- Lifetime: $29.99

- Just this one CV and cover letter: $3.99

The surprise was that people buy all three. Some want monthly. Some want lifetime. And some don't want an account they'll forget about. They need one CV for one job, today, and that's all they'll pay for.

I'd been treating "won't subscribe" as "won't pay." Those are two different people.

Mistake 2: one price for the whole world

$29.99 is an easy yes in some countries and a week of groceries in others. I live in one of the second kind, so I should have seen this sooner.

So I added regional pricing. Visitors from African countries see $16.99 lifetime, $6.99 monthly and $2.99 for a single CV. I also translated the site into Spanish, French, Portuguese, German, Arabic and Chinese.

Where I am now

40 paying users and $55 MRR. Most of them paid once, through lifetime or a single CV, so they don't show up in MRR. Not huge, but it's real moneyfrom strangers in a market I was told was too crowded.

What I'd tell myself at the start:

- In a crowded niche, free tools and useful content get you in the door before ads do

- Offer more than one way to pay. "Won't subscribe" is not "won't pay"

- One price doesn't fit everyone. Price for where your users live

I'm still testing all of this, so it may change. Hope it helps someone building in a crowded space.

(Disclosure: I'm the founder of FitMyCV, the tool in this post.)

Just want to ask , is there any free hosting platform, that you guys are hosting, without worring about money generation ?Can anyone give me walkthrough.

for python backend and frontend React or next js

Here's my 2 years worth of SaaS dump, today i added my last product here too. Going to take a break from building until next year.

Hi.

I'm relatively new to SaaS, and I'm sure this has been asked a number of times. However, I have a hard time finding it (might be a skill issue...).

With a technical background, I initially did what many others in here probably did as well. I just started programming and then started looking for a problem - lesson learned...

For my newer projects, I really wanna validate my idea before programming. Through my network, I've had one validation conversation, which I got from a referral. The guy was super nice, and we had a good talk. He wasn't really a technical person, and he wasn't in charge of or even connected to the part of the company my SaaS idea would help, so he couldn't help me. However, he said he would refer me to a technical person on their team... Surprise, I've been left on read.

I've written 50 cold emails to date, just asking for a cup of coffee or a short 15-minute Teams meeting ("I've got nothing to sell" style) - very few replies, all rejections.

I'm left wondering, if I need to talk to 5-10 people, firstly I need to find their pain points. From there, in a possible second meeting (or the first if it goes well), I will have to ask them if they are actually willing to pay for this service.

It just seems a bit out of reach?

I'm a natural introvert, and that's definitely working against me. However, I love the challenge.

I'm completely blown away by how hard it is to actually get these conversations.

Am I doing something wrong, or is it just very hard?

If you sell credits, included usage or a commit with overage, your pricing page is a contract. I scored 64 of them (dev tools, data/AI platforms, comms SaaS, all B2B) on whether they state the rules that matter at month end. Public pages only, no logins.

• 61/64 sell custom contracts, which is where the real true-ups happen
• 34/47 never say what happens to unused allowance at period end
• 57/62 don’t say what happens to credits or rollover on a mid-cycle plan change
• 6 offer rollover at all; 1 states a cap
• 38/61 don’t say when overage is billed

Every rule you leave unwritten gets decided later by whoever holds the spreadsheet, usually at a renewal or a dispute. The cheap fix is five plain-words answers on the page: unused allowance, credit expiry, rollover and its cap, mid-cycle plan changes, and when overage bills. For enterprise deals, put a worked sample month in the order form so both finance teams read the same thing.

Cartesia and Netlify do this well if you want a model.

Disclosure: I’m building TrueUpp for exactly this kind of contract; there’s no product yet. The full report and a free browser-only amendment simulator are at trueupp.com/research.

Hi!

I'm having a problem with Stripe that's got me pretty stumped, as I can't find much information about it. I'm wondering if anyone else has experienced this.

I'm from Spain, and my product is a subscription with a base price in euros. I have adaptive pricing enabled.

However, if I open my own production checkout from my laptop, it shows the price first in Colombian pesos. From my secondary laptop, it shows it first in USD.

I've tried different networks. I've never been to Colombia or the USA. I live in Spain. I don't have a VPN or anything. Geolocation tools correctly place me in Spain. I don't understand what's happening, and I'm worried that this might also happen to my clients and cause a bad first impression. None of them have reported this to me so far, but I don't think it's something a user would report anyway.

Has anyone else experienced this? Any ideas?

Most people run a content gap report, export a massive CSV, and then panic because they don't know what to write first. Sorting by search volume is a trap that leads to targeting broad, low-converting junk.

Here is the exact step-by-step workflow I use to turn giant keyword lists into an actual content strategy.

Step 1: Filter heavily before you export
Don't download thousands of broad keywords.

Use tool filters to clean the data upstream.
•  If you use Ahrefs: Go to Competitive Analysis > Content Gap. Put in 3–5 direct competitors. Set the intersection filter so at least 2 competitors rank for the term. Cap the Keyword Difficulty (KD) based on your site's actual authority.
•  If you use Semrush: Go to Keyword Gap. Filter strictly by "Missing" or "Weak" keywords. Filter out informational intent unless it directly connects to a feature you sell.

Export the remaining list. Look at it, and instantly delete any row that doesn't make you think of a specific feature in your product. If it's a generic definition term, kill it.

Step 2: Score for cash, not volume
Add four columns to your sheet. Score each keyword 1 (low) to 3 (high).

•  Business Relevance: Will a click here actually buy our software, or are they just looking for a free template?
•  Ranking Feasibility: Is the front page locked down by Hubspot and G2, or are there smaller blogs ranking that we can leapfrog?
•  Our Content Advantage: Do we have proprietary data or actual product screenshots to show, or are we just regurgitating the top 5 results?
•  Existing Coverage: Do we already have an old post targeting this that we can just rewrite? (Fixing old content is 10x faster than writing new stuff).

Example: A keyword with 150 searches a month that gets a 3/3 on business relevance beats a 10k volume term every single time.

Step 3: The manual sanity check
Take your top 10 highest-scoring keywords and search them in an incognito tab. Look at the top 5 results.

If the SERP is 100% free tools, a 3,000-word blog post will never rank. If the top results are outdated or badly formatted, you found a real gap. If the intent doesn't line up with your product pitch, drop the keyword. Never give a writer an assignment based purely on a spreadsheet score.

Step 4: Pick 3 items and close the sheet
If you finish your planning session with 30 "prioritized" keywords, you didn't prioritize. Pick exactly three.

1.  An optimization task: Refresh a page stuck on page 2.
2.  A creation task: Build one specific page to fill a gaping hole where a competitor is eating your lunch.
3.  An investigation task: Deep-dive a specific competitor page that suddenly spiked in rankings to see how they did it.

Assign owners, pick a metric, and freeze the rest of the spreadsheet until next month.

Doing this by hand means checking sitemaps and position drops every single Monday. It sucks up hours. I use background monitoring tools like Ranks Hawk to automate the tracking. It watches competitor sitemaps and rank jumps, then pings me only when a rival makes a move worth copying. It saves me from doing the spreadsheet digging from scratch every week.

What’s your hack when it comes to filtering keywords?

Hey r/SaaS,

I see a lot of posts here about launching brand-new micro-SaaS ideas every week. Today, I wanted to share a completely different perspective: what it’s like to completely rewrite and re-architect an independent app that I have been maintaining for over 10 years.

My app is called ClipBox, an iOS, iPad, and Mac clipboard manager.

As you all know, the clipboard manager market for the Apple ecosystem is incredibly crowded. There are dozens of tools out there. For a long time, I asked myself: Is it worth keeping this alive, or should I sunset it and build something new?

Instead of quitting, I decided to do a deep dive into the market to find the fundamental "gaps" between what modern users need and what current legacy clipboard apps actually provide. Here is what I found, and how it shaped one of the biggest engineering efforts of my life.

1. The Rich Media Gap

Most legacy clipboard utilities treat history as a giant, boring text list. But modern workflows aren't just text. We copy links, images, multi-page PDFs, hex codes, and audio clips constantly. I redesigned ClipBox to treat clips like rich visual cards rather than raw text strings, building an offline-first library that instantly renders previews for files and media.

1. The Context & Smart Action Gap

When a user copies something, they usually intend to do something with it next. If you copy a tracking number, you want to track it. If you copy a phone number, you want to call or text it. I built a lightweight parsing engine into the app so ClipBox automatically recognizes URLs, emails, and tracking details, offering immediate 1-click smart actions.

1. The Multi-Device Friction Gap

Apple’s native universal clipboard is notorious for randomly failing or lagging. On the other hand, many third-party apps force you to create an account on their proprietary cloud servers just to sync. I re-engineered our sync pipeline to rely entirely on the user's private, encrypted iCloud. This means lightning-fast sync between Mac and iPhone with zero account creation or sign-up walls.

The Reality of Rewriting 10 Years of Technical Debt

Tearing down a decade of old code and user interfaces was terrifying. I had to:

• Re-evaluate the entire UX to ensure a native, lightning-fast Mac menu-bar workflow.
• Keep the code completely optimized for localized, offline-first privacy (encrypted storage, optional Face ID).
• Balance the update without alienating legacy users who liked the original simplicity.

It took an immense amount of personal effort, but the fully redesigned and redeveloped version is finally live.

A Quick Note on the LTD Pricing Strategy

To celebrate this massive milestone, I am running a temporary Lifetime Purchase deal before transitioning the pricing model to match the massive structural updates.

Right now, the Lifetime Premium tier is sitting at $9.99, but it will be increasing to $39.99 on October 20, 2026. If you want a localized, high-performance clipboard workspace across your Mac, iPhone, and iPad without paying a recurring subscription, you can lock it in early.

I'd love to hear from other solo devs who have handled massive app overhauls:

• How do you balance feature creep when redesigning a utility app?
• What are your thoughts on shifting pricing tiers after a major engineering rebuild?

Check it out here: ClipBox on the App Store
Would love your brutal feedback on the new UX!

Say a team is unhappy with its project management software. They've found something that fits better, at a reasonable price.

But three years of tasks, comments, attachments, and workflows live in the current tool. Someone would have to move everything and get the whole team comfortable with the replacement.

So they renew for another year. The vendor sees a retained customer. The customer sees a migration they've put off.

Of course, integrations and established workflows have real value. Switching being difficult doesn't automatically mean the vendor has done anything wrong.

But making exports unnecessarily difficult, or leaving important information out of them, feels like a different issue.

How do you tell satisfied customers apart from customers who just haven't found a practical way to leave? Beyond another payment, what tells you they actually want to stay?

Hi all, I am not sure if you remember my last post 2 months ago. I posed about my SaaS and it was at $3.5k MRR.

Well, I just crossed $4k MRR and it's officially making more money than my 9-5 job which is crazy to think.

I started it as a side project along with my 9-5, I needed a simple tool for myself only. I told one friend about it and he was interested to try. At that time I didn't even think anybody else would be interested into it. Today, 1 year later 250 people are subscribed, more than 10k people registered and it's doing fairly good so far.

So what changed to bring more money:

- I increased the lowest price ($11 to $19)

- I added bunch of AEO and SEO pages

- I started talking with people (app is asking them to join my channels so I can take over and help)

I was very skeptical about the price plan but it turns out people are happy to pay more + weirdly it's sign of a quality product.

SEO and AEO pages is something that is constantly bringing new people, people find about my app in ChatGPT, Claude and other AI providers.

Talking to my customers was the hardest part for me, it's time consuming, it's hard to get people to talk to you and you end up with bunch of small specific ideas/requests and you need to figure out how to implement it while keeping simplicity of the app.

It's still bootstrapped and I am not planning to add any VC money. It's still 0 ads.

MRR proof is here: https://trustmrr.com/startup/opentweet

If you're on X, you've seen the trend of tools that give you "high-quality backlinks", "high-quality articles", and all that lies. Sharing my experience below.

I'll start with something that you should already know - if it works for everyone, it works for none. This is 100% true for SEO.

I WILL NOT SELL YOU A TOOL FOR ARTILCES OR LINKS IN THIS POST!

I'm mentioning my products below, as you can see also my DR, so you know I might have some idea what I do.

I was about to talk about all that in a Podcast, but it got cancelled, so I made a YouTube video about it, in how you can scale a SaaS business with tactical decisions, and some tips how I scaled my own SaaS (PostFast) in a crazy competitive niche, social media scheduling. I'm trying to do the same for my newest saas with email automation and sequencing (sendheron).

I'll give you a brief overview what might happen to your site if you use those automated tools.

• Google decides to penalize you for backling exchanges scheme, and your SEO NEVER gets back to the point where it was, and you'll need to find other channels
• Google decides that your product is actually in a different niche, and starts deranking it in the one you want, since some "automated" article goes viral and you start seeing as a leader in a different niche

This should be enough to get you into thinking, that just having a lot of clicks in GSC, means nothing, and the picture below with high DR would mean nothing if there were no proper backlinks from reputable sources and traffic into the pages.

A few tips you can get without watching the video that would always help you:

• Get a dofollow links ONLY from websites that are associated in a way with your niche, and avoid gambling, casinos, link farms, etc
• Create "vs [competitor]" pages
• Don't fight for high KD and high volume words when you start

Note that some tools might work for you, until a point, and i've also tried some, but the risks above stay, and I wouldn't risk it anymore, and its not helpful anyway.

I'm trying to find someone to help build an AI SaaS MVP, and I honestly can't tell what's real anymore.

Every agency says they build AI products. Every freelancer says they can ship fast. Every platform says you'll own the code and avoid lock-in. Then you get on calls, and half of it sounds like vague strategy, polished demos, or ChatGPT glued to a dashboard.

I'm not looking for a pitch. I'm trying to avoid wasting months and money. For people who've actually hired someone to build an AI product: what questions exposed whether they knew what they were doing? What red flags did you miss? And would you go agency, freelancer, or product/app builder if you had to do it again?

Solo founder here. I built SmritiOS, which joins Google Meet calls and converts them into decisions, owners and deadlines on a task board. Hindi/English/Hinglish supported.

I'm at the very start: just launched, free 30-day trial, no paid plan yet.

What I'm trying to learn:

- Who actually feels this pain: sales teams, agencies, or engineering teams?

- Would you pay for action-item tracking, or only for transcripts?

- What's the first thing that would make you not trust a notetaker bot?

Happy to share what I learn from your replies. Link if you want to try it: smritios.com

I've been building a SaaS in the startup discovery space, and one question keeps coming up in my mind.

There are thousands of startups being built every month, many of them operating quietly before they get media coverage, funding announcements, or any meaningful traction.

For someone working in venture capital or angel investing, discovering these companies early could be valuable. But there's a catch.

More sources don't necessarily mean better opportunities. You could monitor hundreds of websites and still end up with an overwhelming amount of noise.

That's the problem I've been exploring with Alpha Scout, a platform focused on discovering early-stage startups across different countries and sources.

I'm trying to think beyond the obvious feature of aggregating data. The real question is whether a tool like this can meaningfully improve discovery, save research time, or surface opportunities that investors would otherwise miss.

For those of you building B2B SaaS products, how do you validate a problem when your target customers are a relatively small, specialised audience?

And if you were building for investors, what would convince you that startup discovery software provides real value rather than just another dashboard full of data?

I'd be interested in hearing your thoughts, especially from founders who've built niche B2B products.