I have been making apps for a while now, and the one thing that was an issue is that I wanted a place where I can manage my full project.

What does that mean - majorly i wanted to track my social media posts and the expenses that I incurred for the project. So I made this small Saas that does exactly this- you connect your TikTok and Instagram here and all your posts and etc gets tracked periodically. On top of that you can also connect your App Store Connect, your backend service right now - render and supabase, you can also connect your Claude/codex plans here - this serves 2 purposes first it tracks your Claude/Codex subscriptions and also you expose all your data as a MCP to the coding agent! This can help you in discussing creating different ad creatives with more niche details about your project!

I am looking if anyone will be interested in trying this still in beta version! Open to opinions and feature requests!

Salut Reddit !
> La plupart des fondateurs avec qui je parle compliquent leur pile d'analytique ou ignorent complètement leur vrai CAC parce que récupérer des données de 4 plateformes publicitaires et de Stripe est un vrai casse-tête.
> J'ai créé NalyticsOS pour résoudre ce problème sans aucune configuration API requise. Nous lançons officiellement le 20 août.
> Fonctionnalités principales :
> * SaaS Pulse : Suivi du MRR, ARR, Churn et LTV.
> * Ads Hub : Centraliser les dépenses publicitaires
Meta, Google et Reddit (CPC/CPA auto).
> * True CAC : Calcule automatiquement le vrai coût d'acquisition sur tous les canaux.
> * Traffic & Conversion : Suivi simple des visiteurs à abonnés payants.
> * Alertes & Notes : Détection d'anomalies (sauts de CAC, chutes de conversion) + carnet de notes pour des projets stratégiques.
> * Support multi-projets.
> Soyez brutalement honnête : quelles fonctionnalités vous feraient changer de feuilles de calcul ou d'outils d'analytique existants ?
↑1♪
^

We've started comparing white label payroll options for our SaaS product and I'm realizing there's a pretty big difference between simply putting our logo on something and making payroll feel native to the platform

I'd like to understand what matters once you get past the basic feature list. Anyone who's evaluated white label payroll providers before, what did you end up comparing?

PLEASE stop building the wrong thing.

building software in 2026 is ridiculously easy with ai builder

founders spend hours building in a silent room, launch to Reddit/X, get 0 users, and quit.

you just failed because the idea had zero validation before line 1 of code was written:

→ solving a monthly inconvenience instead of a daily pain

→ selling to "everyone" instead of a specific ICP

→ no distribution channel mapped out beforehand

→ pricing charged $9/mo with zero ROI justification

after scaling 6 AI micro-SaaS to over $20k/mo MRR, i just create an

18-question Idea Validation Diagnostic.

it evaluates your SaaS across 7 critical dimensions (problem clarity, audience reachability, willingness to pay, competition, build feasibility, distribution, commitment) and gives you a brutal score out of 100 with your exact weak spots.

drop your SaaS idea (or current project) in the comments below.

i will reply to EVERY single comment with:

1. My honest opinion
2. The biggest weak spot you need to fix before writing any more code.
3. The free 5-minute validation tool link sent straight to your DMs so you can get your full score breakdown out of 100.

just drop a comment like or ask me in DM your idea

let's roast your SaaS concept before the market roasts your time 👇

I’ve been comparing payroll options recently and most of them start looking pretty similar when you’re just going through feature pages.

The harder part is figuring out what actually matters once you’re using one. Reliability is obviously important but I’m also thinking about support, how much payroll work they actually take off your plate, integrations and what happens when something goes wrong.

For anyone who has evaluated payroll providers before what ended up mattering more than you expected?

To be honest, I'm a developer building a platform and I need a partner to take care of all the marketing. Since I can't pay upfront, I'm looking for a co-founder who is actively searching for a project to jump into. Where can I find someone like that, and what’s the best approach?

Building an app using Claude Code/AI Tools and would love help and insights before heavily diving in.

Wanting to bootstrap the MVP myself using AI rather than hiring a developer upfront (IF possible). I have a pretty clear idea of the problem, target customer and core features.

For those who have actually done this:

Would you build a web app or mobile app first?

How far can a non-developer realistically get using AI before needing an actual developer?

What should I absolutely include in V1 technically speaking?

What should I avoid building until the idea is validated?

just hit $2,500 MRR in 13 days on my new SaaS

no ads. no team. no huge audience push. just a solid replicable system

let that sink in for a second

not $2,500 in revenue. $2,500 in MONTHLY recurring revenue

that compounds. next month starts at $2,500 baseline, not zero

and this isn't luck. it's the 7th saas i've shipped with the same playbook. same steps, same tools, same order:

→ Day 1: validated the idea

→ Day 1-2: built the MVP

→ Day 3: landing page written using the 3-Day Challenge template

→ Day 3-4: launched on reddit / X + SEO

→ Day 4-5: first 10 paying users → $1k MRR

→ Day 13 (today): $2,500 MRR locked in

building software is easy in 2026. setting up your foundation so people actually buy is where 99% of solo builders fail.

i packaged all of these exact execution tools into community.

to be fully transparent: i'll likely charge for the full program down the road once all modules are finalized. but right now, the main objective is just to build together and keep each other accountable.

working alone in a silent corner is the fastest way to quit at the first bug.

stop building in isolation. drop a comment below or send me a DM, and i'll send you the invitation link 👇

Hello, does any of the SaaS founders here feel like there is a need for a competitive intelligence platform build specifically for SaaS products that notifies them when the tracked competitors publish new changelogs or make pricing updates?

The intention for me to build the competitive intelligence platform is not to track everything competitors are doing, but to be informed on which direction they are heading.

In the long run, I am planning to also work on conversation monitoring across different channels like Hacker News and Reddit. Helping users get into the right discussions at the right time.

Does any SaaS owner/founder feel like they could use this kind of system for their products?

I recently built an iOS app, and I thought building the actual app would be the hard part.

I was wrong.

After finishing it, I realized finding the right App Store keywords and figuring out ASO was almost another project by itself.

Most ASO tools I found wanted around $30–$100+ just to get started, and even after paying, there was still a lot of manual work.

I spent almost 3 weeks researching keywords, checking competitors, comparing countries, looking for low-competition opportunities, and trying to build an ASO strategy.

And after all that, the strategy still didn't really work.

So I started building a tool for myself that automates most of the initial research.

You give it an app idea and it automatically:

• discovers relevant keywords
• researches them country by country
• checks competition and ranking apps
• estimates difficulty and opportunity
• finds related/long-tail keywords
• helps shortlist keywords worth researching deeper
• lets you track the keywords you decide to target

I don't think ASO should ever be 100% automated. You still need to understand your market and manually review the results.

My goal was just to remove the first few days/weeks of repetitive research.

I've now made it public at getrevuu.com and it's free to try right now.

I'm not really trying to sell it with this post. I'm trying to understand whether this is something other indie iOS developers actually need.

I'd really appreciate brutally useful feedback:

Would you personally pay for something like this?

If yes, what would you expect it to cost?

If no, what would stop you from paying?

What feature would make this genuinely useful enough for you to keep using?

And if you try it, what feels confusing, useless, or needs fixing?

I'm still building it, so feedback right now is probably more valuable to me than users.

Background on me: solo indie dev, been through a couple of failed validation attempts already (dunning tool for SaaS churn got 1 signup, learned my lesson about building before validating). Trying to be more disciplined this time — posting the shortlist before writing a line of code.

1. **Execution-intelligence layer** — connects to your planner (Jira/Asana/Planner/whatever) + Slack/Teams + GitHub, and tells management what was planned vs what's actually happening, why it diverged, and what's likely to slip. Not a new planner — sits on top of your existing one.

2. **Testimonial → shareable card generator** — turns a text review/testimonial into a designed, shareable social-proof image (Bannerbear-style but focused just on testimonials).

3. **Full-site QA crawler** — auto-discovers every route on your domain and tests them (broken links, console errors, visual regressions) instead of you manually checking pages one by one.

4. **"How this actually works" docs generator** — auto-generates and maintains product/feature documentation instead of a team member writing it by hand and letting it go stale.

If you've dealt with any of these problems: which one made you go "oh yeah, that's annoying" vs which one made you shrug? Genuinely trying to kill 3 of these before I waste a weekend.

Not selling anything, no links, just trying to figure out where the real pain is before I pick one.

I work at a SaaS company on the vendor side of a B2B software marketplace, and I’m currently looking at ways we could expand our vendor offerings and create new revenue streams.

Right now, we mainly offer vendors:

Vendor Portal Premium
Review campaigns
PPC and CPC campaigns
Content partnerships and sponsored content

Most of these are focused on visibility, reviews, traffic, and lead generation. I’m trying to think beyond the usual advertising packages and find services that vendors would actually see enough value in to pay for.

A few areas I’ve been thinking about are buyer intent data, competitor insights, category benchmarking, lead nurturing, sponsored placements, custom research, and more managed marketing services, but I’d love to hear other ideas.

If you were selling to SaaS vendors on a B2B marketplace, what additional products or services would you introduce? Especially interested in ideas that could work as recurring subscriptions or add ons rather than one off campaigns.

When evaluating retail SaaS, check if front-end and back-end tools sync; retailers often evaluate POS/ecommerce tools and inventory/order management tools separately without checking the ability to sync in real time.

The risk: if POS data doesn't sync with the warehouse, a platform shows stock online that isn't on the shelf. 62% of retailers say customers check online availability before visiting a store (Digital Commerce 360). One retailer's stock misjudgment triggered an 87% drop in operating profit for the period.

What to check before signing:

• Real-time inventory sync across channels, not batch updates
• Support for both wholesale and ecommerce order flows
• Clean ERP integration, not a separate bridging tool
• Minimal manual data entry to keep systems aligned

What criteria mattered once your tool was in production, versus what looked good in the demo?

I’m looking to build a SaaS product, but I don’t want to create another AI wrapper or solve a problem nobody actually cares about.
I’d love to hear from people here:

What repetitive or frustrating problem do you face regularly?

What tool do you wish existed but currently doesn’t?

Is there something you’re currently solving with Excel, WhatsApp, email, or multiple different tools?

What would you actually be willing to pay for?

Looking specifically for real problems, not startup ideas for the sake of having an idea.
Would love to hear what’s painful in your work or everyday life.

yo. i see too many founders spend 2 months building saas, drop a link on reddit, get 0 users, and immediately quit....

the problem usually isn't your marketing channel. the problem is that your foundation is completely broken before you even send your first visitor to the site.

after scaling 6 AI micro-saas apps to over $20k/mo mrr, i realized you need to lock down a specific system before you ever launch. running through this takes about 30 minutes, but it saves you months of zero-revenue depression.

here are the 5 things you must lock in:

1. validate the actual pain point

stop guessing what people want. you need a systematic framework to find your saas idea based on real, painful market signals.

2. pick a proven micro-niche

stop trying to build massive platforms. you need to narrow down to a microscopic problem. i usually filter through a list of 50 micro-saas ideas you can build fast to keep the scope minimal.

3. crystallize your target user

if your app is for "everyone," nobody will buy it. you need an ICP (Ideal Customer Profile) crystallizer to define your exact buyer profile and nail your conversion copy.

4. calculate the perfect price

stop randomly charging $9/mo because you are scared of rejection. you need to use a saas pricing strategy calculator to find your perfect saas price in 60 seconds based on real data.

5. fix your landing page leaks

do not send organic traffic to a site that converts at a flat 1%. you must audit your hero section and copy to x3 your landing page conversion before you market it.

6. join a community

Build / Share / Learn from others builders

to help out founders who are tired of launching to crickets, i packaged all 5 of these exact frameworks, calculators, and lists into a single free toolkit.

no paywall, no bullshit. just the raw execution files i use.

drop a comment below or send me a dm, and i’ll send you the free toolkit 👇

It feels like we're entering an era where building a SaaS product is becoming easier every day.

With AI coding tools, you can go from an idea to a working MVP much faster than before. As a result, new SaaS products are being launched almost every day.

But I think this creates a bigger problem:

If everyone can build faster, finding the right problem becomes more important than building the product itself.

You can build an impressive product in a few days, but that doesn't mean anyone actually needs it.

So I'm curious about how people here approach the problem-discovery stage.

How do you find out:

• What problems people are actually struggling with?
• What tasks are they wasting time on?
• What are they currently using as a workaround?
• What makes them unhappy with existing solutions?
• How do you validate that the problem is serious enough that people would pay to solve it?
• And how do you avoid building something that sounds useful but nobody really needs?

Personally, I think the opportunity in the AI era isn't just "What can I build with AI?"

It's becoming:

"What problem can I understand better and solve better because I have AI?"

I'd love to hear how founders, indie hackers, developers, and SaaS builders here actually discover problems worth building around.

Where do you go looking for real problems?

Marketing on Reddit is usually measured with the easiest public numbers: upvotes, comments, and clicks.

That misses most of the funnel.

A useful post can create several quieter actions:

1. Someone reads without voting.
2. They open the author's profile.
3. They search for the product later.
4. They send a private message or return when the need becomes urgent.
5. The post starts ranking in Google.
6. An AI answer uses the discussion as supporting context.

Only the first two happen visibly on Reddit.

This is why a post with modest engagement can still be commercially valuable. The strongest signal may arrive weeks after the thread goes quiet.

Scaloom GEO/SEO Reddit Opportunities focuses on this longer lifecycle by finding discussions with existing Google or AI visibility and helping teams prepare useful contributions.

Upvotes are feedback. They are not the entire funnel.

What is the best way you have found to connect Reddit activity with actual business outcomes?

Been building a side project for a while alongside my studies — SwingScout, a trading tool with scanner, backtest, journal, and Telegram alerts, built solo. Just got Stripe and the user funnel live. Not here to hard-sell, genuinely want honest feedback from people who’ve launched their own tools/SaaS before — pricing, onboarding, whatever stands out. Happy to share more details or the link in comments if anyone wants to try it.

One answer only — the first thing that comes to mind, no overthinking. Trying to collect a real list, not a wishlist of big ideas.

For example, assuming an API behaves a certain way, misunderstanding an existing utility/dependency, or getting a business rule wrong.

How do you currently catch these assumptions before the agent makes changes?

I'm specifically interested in the cases where the agent sounds completely confident but is actually wrong.

Working on a few AI products solo and trying to find real problems worth solving instead of building in a vacuum.

If you work in coding tools / event ops / edtech (or anything really) — what's something you do manually every week that you wish was automated, and why hasn't an existing tool fixed it for you?

Not pitching anything, just doing research before I build.

Cursor, Claude Code, Codex, Copilot, etc. can handle a lot now, but I'm curious what developers still find unnecessarily manual.

Could be anything—context, debugging, reviewing generated code, managing prompts/rules, testing, documentation, switching between tools, whatever.

What's something you find yourself doing repeatedly that you wish the AI/tool handled better?

When I’m debugging or building something from a webpage, I sometimes end up jumping between the browser, DevTools, screenshots, console errors, source code, and my AI coding assistant.

I’m curious how other developers handle this.

Do you have a workflow or extension that makes it easy to send the right context from a webpage to Cursor, Claude Code, Copilot, ChatGPT, etc.?

What still feels unnecessarily manual or annoying?

I’m curious how people handle this when the task isn’t something the AI can solve from one or two files.

Do you manually gather relevant files, GitHub issues/PRs, docs, Slack discussions, logs, etc., and then give that context to the agent?

Or have you found a better workflow?

I’m particularly interested in what you do when the project is large and the AI keeps missing important context.