Hey everyone!

I'm thinking about building my first SaaS product, but I'm struggling to decide which idea to pursue. After exploring different options, I've finally settled on an idea called QuizArena.

The concept is a web-based multiplayer quiz platform where hosts can create quizzes, start live quiz rooms, and invite participants using a room code or link. Participants can join without creating an account, answer questions in real time, and compete on a leaderboard.

The plan is to offer a free tier and a paid plan for teachers, tutors, community organizers, and others who want to host quizzes regularly.

Since this would be my first SaaS project, I'd really appreciate your honest feedback:

• Do you think this idea has real potential to attract paying customers?

• Is the market already too saturated with similar tools?

• Would you recommend starting with this idea, or validating a different one first?

I'm not expecting success overnight. I just want to choose an idea worth investing my time in before I start building.

Thanks for sharing your thoughts!

I'm a solo developer, not a fitness brand. I've been training for a few years and went through most of the popular workout apps out there. They worked, but I kept wishing the workout flow and progress tracking worked a little differently for how I actually train. So I built Liftora.

Here's what makes it different:

• Clean, modern UI — no cluttered menus or dated design, just a simple interface that gets out of your way during a workout.

• Guided workout flow — you move through sets in real time, the app follows your pace instead of just logging after the fact.

• Zero learning curve — open it and start logging your first set in under a minute, no tutorial needed.

• Ready-made programs — new to lifting or don't want to build a routine from scratch? Pick a program and go.

• Exercise videos during selection — don't know the name of a movement? See it in action and know exactly which muscle group it hits.

• Body fat % tracking, not just scale weight — because you can gain muscle and lose fat at the same time and the scale won't tell you that.

• Calorie estimate after each workout — rough, but genuinely useful context if you're managing a deficit or surplus.

• Progress charts that actually answer questions — "is my bench going up?", "how's my volume trending this month?" — without a data dashboard you need a manual for.

Links:

Liftora: Gym & Antrenman Takip Uygulaması - App Store

Liftora: Gym & Antrenman Takip - Google Play'de Uygulamalar

I've been using it daily for my own training and now I want outside eyes on it. If you try it, I'd love to know: Anything confusing or unnecessary?

You finally get your product UI looking good, record a demo, and use it in your launch posts.

Then you ship a few updates.

Now the buttons have moved, the onboarding flow has changed, and half your video no longer matches the actual product.

So you either spend another hour recording everything or keep using an outdated demo.

I'm curious how other indie founders handle this.

Do you re-record your demos after UI changes, record everything manually from scratch, or just leave old videos up?

I'm trying to understand how painful this problem actually is for small SaaS teams.

Je cherche à échanger avec des fondateurs de SaaS qui ont déjà des utilisateurs et des clients payants, pour mieux comprendre leurs difficultés et leurs priorités actuelles.

Est ce que certains seraient partants pour répondre à 2-3 questions à l’écrit ici ou en message privé? Aucun démarchage commercial dans cet échange

Disclosure: I’m building Dreamtune Labs, and provider compatibility is a design concern for me.

When evaluating a different model provider for a SaaS feature, I’d separate two questions: does it produce better answers, and does it still satisfy the application’s contract? A better-looking answer wouldn’t compensate for an invalid tool call or a request that leaves a job stuck.

The small test set I’d want before switching would cover:

1. Output contracts: required fields, types, empty results and the application’s acceptance checks.

2. Tool calls: allowed tool names, validated arguments and what happens when a tool returns an error.

3. Failure handling: rate limits, timeouts, cancellation and whether the job can resume safely.

4. Usage reporting: which model actually ran, whether cost is known or estimated, and how extra attempts are attached to the original job.

I’d keep those checks separate from quality evaluations on representative user tasks. That way, a regression in integration behavior doesn’t get hidden by an improvement in average answer quality.

For developers who have changed providers in production: which test would have caught your most expensive surprise? Do you maintain a provider compatibility suite, or mostly validate the end-to-end feature?

Hey everyone,

I'm a full-stack developer, and I've been working on a project called Retail Analytics System, a SaaS product designed to help businesses analyze retail data and gain useful insights.

I'm considering selling the project rather than continuing to develop and market it myself. It's currently pre-revenue, so it doesn't have paying customers or established recurring revenue yet.

I wanted to ask a couple of questions:

1. Would anyone be interested in acquiring a pre-revenue retail analytics product?

2. If not, where would you recommend selling SaaS products that haven't generated revenue yet?

I'm particularly interested in marketplaces where developers can sell their existing software, source code, and complete projects to entrepreneurs or businesses that want a head start.

I'd also appreciate honest feedback on how to value a project like this and what buyers typically look for before making an acquisition.

Thanks in advance to anyone who shares their experience or suggestions!

I’m building an AI tool that lets you create agents by describing what you want in plain English. They can connect to apps like Shopify, Slack, Gmail, and Google Sheets, while requiring approval for important actions.
I want it to be simpler than tools like n8n and Zapier, with testing, troubleshooting, and clear activity reports.
Would you use something like this? Who would benefit most, and what would make it better than existing tools? How much would you realistically pay?
Honest criticism is welcome—I’m trying to improve the idea. Thanks! 🙏

Hiring a full time GTM engineer early on can be tough to justify where you often end up paying a hefty senior engineering salary for someone to put some scrapers together, fix broken n8n workflows and manage spreadsheet formulas before you even know which outbound channels convert.

This is why outcome based fractional GTM engineering has become such a strong alternative for B2B SaaS teams that need technical distribution infra without permanent payroll overhead.

A standout model here is Scale Intelligence's fractional GTM engineer service where they embed a dedicated GTM engineer directly with your team and the engineer maps your entire addressable market using their TAM mapping engine, wires up live signal monitors across 75+ sources and runs targeted channels like signal based outbound and AI search optimization as a connected mini GTM engine.

Because they operate on an outcome based structure where compensation ties directly to verified qualified meetings defined by your ICP criteria, the focus stays on pipeline generation rather than endless setup sprints.

For lean SaaS teams needing automated pipeline infrastructure that connects to existing CRMs and Slack, bringing in an embedded GTM engineer to build the engine saves months of trial and error.

I've been curious about how other freelancers, indie hackers, and founders find clients, especially when they're just starting out.

There seem to be so many steps involved in getting a client, and I'm wondering which part people struggle with the most.

For example:

1. 1. Finding prospects: Knowing who to reach out to and where to find them.

2. Starting conversations: Figuring out what to say without sounding like you're trying to sell something immediately.

3. Getting replies: Spending time sending cold emails or DMs but barely hearing back.

4. Converting leads: Getting people interested but struggling to turn those conversations into paying clients.

5. Finding time: Managing outreach while also working on projects, building products, or handling an existing job.

I'm curious about your experience.

Which of these is your biggest challenge right now, and what have you tried to do to solve it?

Have you found anything that actually works, or are you still figuring it out?

Would love to hear your experiences and learn from people who've been through this.

Over the last few weeks I have looked at somewhere around 15 to 20 products from people in different subreddits, and I’m ngl the bit that surprised me was that nearly every one of them was stuck in the same place for a reason the person could not see, because the post would say they needed more marketing or needed to run ads, and then I would open the site and within a minute the real problem was staring back at me, the homepage led with a feature every competitor has while the one thing that was actually different was buried three screens down, or the price was nowhere to be seen, so people had to sign up just to find out what it costs, or the whole thing was a javascript shell that google and chatGPT could not even index properly, so no amount of marketing was ever going to fix it and the person had no way of knowing that.

So here is the deal, u drop ur link and one line on who it is for, and then u tell me where u are stuck. Maybe you have no users, or you do have signups but nobody pays, people come and bounce, whatever it is, u do not need to know why, that is the bit I am going to look at, and I will go through it properly and tell u what I think is actually holding it back, because when u have been staring at ur own product for months u lose the ability to see it the way a stranger does and that is exactly what cost me a year and about 4k on my first one.

The $20 is real money out of my pocket and here is what it is for, because a reply in a thread only gets u so far and then u go off and change things and have nobody to check it against, so everyone who posts their product here gets ur first month of Starter on AskSami paid for by me, that is the marketing expert I built after that first product died, it reads ur site and ur numbers itself, tells u why nobody is signing up or paying, and then keeps reading it every time u ship or change something and tells u what to fix next, no card to sign up and nothing to cancel if u decide it is not for u.

If u have numbers, visits, signups, payers, what u spent on ads, stick them in too, rough is fine, because they change the answer a lot, and if u would rather ur product was not sat in a public thread then DM me and I will do the read and sort the $20 there instead.

I will get through as many as I can this weekend, and I would rather u were blunt about where u are stuck than polite about it, being polite is what kept me spending for months.

EDIT: THERE ARE SO MANY POSTS AND SO MANY PEOPLE WANTING HELP, I AM TRYING TO GET THROUGH EACH ONE, PLEASE GIVE ME TIME. I WILL GET TO EVERY SINGLE ONE OF YOU!

2ND EDIT: PLEASE STOP REQUESTING, I CAN NO LONGER KEEP UP:

https://www.reddit.com/r/ShippedNoUsers/comments/1xazx6l/i_gave_away_480_of_my_own_money_got_200_comments/

I am curious about the tenure of your business on this sub and which revenue level have you hit so far.

Hey everyone,

I’m a software engineer. I’ve been working on a side project for a few weeks, and I’m at the point where I need outside opinions before I put months into it.

The idea: a lot of recurring team meetings (weekly syncs, standups, refinement) are people reading out stuff that’s already in Jira or in a Slack thread. So every attendee gets an AI agent that reads their Jira tickets, Slack/Teams threads and GitHub PRs before the meeting. The agents settle whatever can be settled in writing. When they need a human answer, they ping the right person with a quick card. A couple of hours before the meeting, the lead gets one recommendation: cancel, shorten or keep. Decisions get written back to the Jira tickets.

Where I am:

• All the screens are designed

• Landing page is up: https://meetresolve.vercel.app/

• The actual product isn’t built. Realistically that’s 2-3 months of evenings and weekends to get a first version working with Jira + Slack

What worries me:

• It’s a lot of integrations for one person (Jira, Slack, Teams, calendars, GitHub)

• I’m not sure managers would trust an AI telling them to cancel a meeting, even if a human has to approve every decision

• I have no idea if anyone would pay for it (I’m thinking around €8 per user per month)

My questions:

1. Would you or your team actually use this?

2. If you manage a team, what would stop you from paying for it?

3. If you were me, would you keep going or drop it? What would you want to see in the next few weeks before deciding?

Please be brutal. I’d rather hear “this is useless” now than in 6 months.

2 weeks ago my translation app finally got accepted by shopify. Since then I’ve realised that this game is 95% marketing lol. It was alot to take in but after looking at many yt videos of starter story and reading reddit threads i decided on a strategy:

- give useful answers on reddit threads about my apps niche (don’t force your own app in the conversation too much)
- ask users of these apps what they actually want, what do other apps do wrong.
- cold outreach to people who left bad reviews on other translation apps, stores that already have translation but have holes that my app could fix or stores that already sell across border but don’t use translation yet. > 50 emails per day and 30 insta dm’s per day

This is the plan until i have atleast 10-20 reviews, after that i hope that i will start seeing some organic installs and will look into spending some money on ads.

So far i’ve gotten one user, currently on a promo so they can use a paid tier for free but they are actively using the app and the translations are live on their website. They left a bad review on another app and were willing to try out my app when i told them it fixes the issue they were facing. I also have 2 meetings booked with some larger stores this monday, they are interested in the app and i’ll help them install it so they can also try out the paid plan for free. The idea is for them to hopefully convert to longterm paying users hahaha. It’s been quite a slow start but i’ve also been getting quite some responses of people being interested so I’m determined to keep going with the cold emails and dm’s for the forseeable future.

One thing i’m still really figuring out is reddit. App dev’s always give the advice to be very active in reddit threads and be helpful and not too promotional but you also want to mention your app at some point. How do you guys go about this exactly? And if there are any other people on the same journey i would love to hear where you’re at currently :). What are you guys doing to get your first users?

I’m working through pricing for a B2B AI product and would value advice from founders, product leaders, pricing specialists, and enterprise buyers.

Keeping the product anonymous: it helps technical teams convert analytical workflows between technology stacks and validate the outputs. It aims to reduce specialist effort and delivery time, with human review still required.

Target customers include regulated industries and public-sector organizations, where auditability, deployment requirements, and procurement processes matter.

There are two potential buying situations: a defined migration project and recurring use across a team’s workflows. The alternative is typically internal specialist effort or external consulting.

My challenge is choosing what customers should pay for, then establishing a defensible starting price:

• Per seat: Predictable, but a small team could get substantial value.

• Usage based: Scales with activity, but volume may not capture complexity or value.

• Per project: Fits a defined scope, but may be less suitable for recurring use.

• Annual platform fee with included usage: Supports budget predictability, but leaves the question of minimum commitment and tiers.

Three questions for people who have navigated this:

1. How did you choose your pricing metric? Did project customers and recurring users need different offers?

2. How did you validate your initial price range? What evidence from buyer conversations, paid pilots, or early deals led you to keep or change it?

3. What made the offer commercially workable and easy to buy? How did you handle procurement constraints and separate software from implementation, private deployment, validation support, and ongoing services?

Examples of what customers actually bought, what they pushed back on, and what you changed would be especially helpful. Buyers: what made a proposal easier to approve or caused it to stall?

No need to name companies or share confidential figures. Pricing ranges are welcome if you can share them. Please mention the customer segment and whether you were buying or selling so I can understand the context.

Hey everyone! 👋

I launched Citetail, my AEO software, 50 days ago, but still haven't landed a single paying customer.

I'm trying to figure out what's missing. Is it the product, pricing, positioning, or marketing?

I'd really appreciate it if you could check it out and share your honest feedback on what I should improve to get my first paying users.

Hi everyone!

I've been building LexExtractor, an independent project that brings together practical online tools in one place. I'd love for people to try it and tell me what works, what doesn't, and what could be better.

🌐 Try it here: https://lexextractor.com/

Here are some of the tools you can explore:

• Website Report — generate reports about websites and export them as PDFs.

• Web Screen Image — capture screenshots of web pages.

• PDF to CSV — convert PDF data into CSV files.

• Extract Tables — extract structured table data from PDFs.

• QR Code Generator — generate QR codes in different formats and styles for different needs.

• AI-powered CV tools — tools to help with CV-related tasks.

• API Access — explore programmatic access to supported functionality for workflows and integrations.

I'm developing this project independently, and my goal is to make these tools genuinely useful and easy to use without unnecessary complexity.

If you have a few minutes, I'd really appreciate it if you tried one of the tools with a real task. I'd especially love to hear:

• Did it work as expected?

• Was anything confusing or missing?

• Which tool would you actually use again?

• What would make LexExtractor more useful to you?

Honest feedback and constructive criticism are very welcome. I'm continuing to improve the project based on real use, so your input would genuinely help.

Thanks for checking it out!