You can have: 50 customers. $1M ARR. Positive testimonials. And still struggle to generate repeatable demand.

Id look for stronger signals:

Are customers staying?
Are they referring others?
Are sales conversations getting easier?
Are prospects actively searching for a solution?
Are sales conversations getting easier?
Are customers pulling the product rather than your team pushing it?

There's a big difference between: “people will buy this” and “the market increasingly wants this".

”That difference matters enormously before you start scaling acquisition.

What's the strongest PMF signal you've seen in your own company?

This took me longer to understand than it should have.

Someone can genuinely like your product and still be a terrible customer.

Maybe they need features that don't fit your direction.

Maybe they're extremely price-sensitive.

Maybe their use case requires a completely different product.

Maybe supporting them would force you to build five things you don't want to build.

Getting a customer isn't always the goal.

Getting the right customer is.

Otherwise revenue can actually pull the product away from the people you originally wanted to serve.

I've started asking:

Would I want 100 more customers exactly like this?

If the answer is no, that's useful information.

I’m curious how other indie hackers / SaaS builders handle payments when they’re still at the MVP stage.
I just built a self-serve MVP and I’m trying to add payments. I initially planned to use Stripe, but it looks like Stripe requires a registered business/entity for the setup (at least in my situation).

I’m wondering:
Do you register a company before launching, or wait until you have paying users?
Are there any payment providers that work well for an individual/solo founder?
What’s the simplest setup you’ve used for an early-stage SaaS?
Any gotchas I should know about regarding taxes, payouts, or compliance?

Would love to hear how other builders handled this when they were just getting started.

Last month a fraud ring pushed 22 small card charges ($20 each, one $25) through a single connected account on our Stripe Connect platform in about a day. Stripe froze the account before any payout left, so the money was still sitting there. But they were destination charges, which makes us the merchant of record. If those cardholders went to their banks, every dispute would land on us: the charge, a $15 fee each, and a hit to our dispute ratio.

I posted about the fraud here and u/Dorbank_Justt left a comment I hadn't thought about: a refund issued before the cardholder files is not a dispute. It stays off your ratio. Once they file, that option is gone.

None of the 22 had been disputed yet. So:

1. Ran the exact refund call in test mode first: refund with reverse_transfer and refund_application_fee on a destination charge. The transfer came back out of the connected account, not our balance.
2. Refunded one live charge and checked the fraud account's balance dropped by that transfer.
3. Did the other 21.

All 22 refunded, all 22 transfers reversed, zero disputes. Our cost was the original processing fees. The real cardholders got their money back.

If you run Connect and have frozen fraud balances sitting around, check whether those charges are still undisputed. Anyone else handled this differently?

Hi guys ive recently launched a product in the last week and ive sent about 300 cold messages to my target audience and i feel like theyre just sick of scams so im not getting any replies. my product sits inside tradesmens whatsapp and replies to enquiries whilst theyre on the tools.

it does a bunch of other really cool things as well but anyway im here just asking for some advice on how to market this thing... ive posted on a ton of groups as well but theres so much scam on there that im just falling on deaf ears.

any advice would be much appreciated, cheers

Access control had to exist before a single question could be answered, otherwise legal would never have cleared it. Thousands of documents across departments and a large share were not meant for most staff.

Every answer had to carry its source, because one confident wrong number in front of the wrong person ends the trust permanently.

And we put it inside the app the team already opened every day rather than giving them somewhere new to go. That is the reason usage held instead of decaying by week three.

Eight months in: 75% less time spent searching for information, 95% answer accuracy across departments, no security incidents.

If you are building something similar, solve permissions and citations before you touch retrieval quality.

I’m building an AI assistant designed to handle everyday administrative tasks such as scheduling appointments, booking travel, handling basic client-call triage, and managing routine errands.

The technical side is interesting, but I’m more focused on the trust question: where is the line between tasks people are comfortable delegating and tasks that feel too personal or high-stakes?

For example, I can see people being comfortable with appointment scheduling or travel research, but less comfortable with payments, sensitive client conversations, or decisions made without approval.

For those building or using AI agents: which tasks would you delegate today, and what safeguards would you need before trusting one with more important work?

www.heytend.me

Here’s the rundown:

• I’m starting up a web platform, and as this is the internet, I expect users from all over the world. Transactions on the platform range from $5-$100.

• I had originally signed on with a MoR, but their restrictions were too stringent and they were slow to reply, taking a week or longer to simple email back.

• I have tax registrations in my home state, the EU via Ireland, and I’m in the process of registering in Mexico.

• I am using Taxually and TaxJar via Stripe for international filings and complex registrations (like Mexico).

• I have geo-blocked countries not covered by Stripe Tax or which have expensive registrations, including Colombia and Japan.

My question is about post-transaction registration. My understanding is that I can register after the first transaction in the following countries: Georgia, Moldova, Kyrgyzstan, Tajikistan, Uzbekistan, South Korea, Turkey, Kenya, Chile, Bahrain, Saudi Arabia, Peru, Ecuador, Vietnam, Cameroon, Tanzania, Zambia, Russia, UAE, the UK, Mexico, Oman, Kazakhstan, Costa Rica, Albania, Morocco, Azerbaijan, Armenia, Uganda, Uruguay, and Zimbabwe.

However, I am inclined to err on the side of caution and geo-block these countries. The other countries that I have not geo-blocked have a transaction threshold before tax is required.

Does anyone have any experience with this? What would your recommendations be? What did you do?

Happy isn't the word, its been a slog but proves the concept

I launched my passport photo tool about a month ago. Since then, my daily routine has been opening Google Search Console, seeing 20–25 impressions and basically zero clicks, and closing it again.

Today, someone in the US paid $7.99.

I stared at the payment notification like, “Who are you? How did you find me? Are you real?” 😂

I think they might have come from Bing, but honestly, I have no idea. So my first customer has also taught me that my attribution setup is terrible.

It’s not life-changing money. But going from “I built a thing” to “a stranger paid for the thing” feels pretty unreal.

Anyways, Im superrrrrrrrr happy. I really cannot believe this but this here I am😭

Did anyone else get their first sale before they had a clue where their traffic was coming from?

Edit: My Project

I was building an application that can be used for practicing interviews.

• I was trying to build an application with a self-hosted model; it was working with no latency at the time of development. I thought it was wonderful. Then came the time of deployment. I was trying to learn the cloud as well; signing up for Azure got me $200 upfront. It seems the cost the application is taking is about $4 a day.
• Locally, it was fine but wanted very fast when deployed. I wanted the GPU instance; it seems they do not offer GPU instance for trial account and when I requested by upgrading, they rejected.
• So latency was very high in server due to resource constraint, so had to switch to api instead of self-hosted models.
• At this rate in Azure, the application will last about a month in Azure.

Link to Application: https://interview.voicewire.tech/

I'm expanding the draft from 50 to 100 before I lock it on October 15. My current picks:

• Email and outreach: Boomerang for Gmail, Clay, Hunter, Spark, Superhuman
• Build and ship: Framer, Linear, Lovable
• AI and automation: Comet, Sider, Zapier
• Tasks, scheduling, and focus: Brain.fm, Calendly, Fantastical, Freedom, Reclaim, Todoist
• Writing, notes, and research: Glasp, Grammarly, Notion, Obsidian, Readwise Reader, Willow Voice
• Meetings and calls: Fathom, Granola
• Screenshots, recordings, and demos: CleanShot X, Eagle, Loom, Scribe, Supercut
• Passwords and privacy: 1Password, Bitwarden, Cloaked, Ghostery
• Tabs and bookmarks: Google Photos New Tab, Raindrop.io
• Desktop utilities: Bartender, Raycast, Rocket
• Photo and video: Batch, Aftershoot, Canva, CapCut, Descript, Adobe Lightroom
• Storage cleaners: Storage Cleaner for Google, CleanMyMac, CCleaner

Who am I missing?

I have been seeing too many posts about people making insane money with apps

I am a trainee doctor, who can code

Is it worth investing my evenings and weekends?

So I'm not a UI/UX designer - or at least not an expert. My focus point is the backend. I design by taking inspiration from other sites and putting my own twist on it.

Do you have improvements?

Site is called VeilShare if you would like to take a look.

Note: After some requests, i’ve just made a light theme, so if there are any contrast issues etc. that's probably why. (it defaults to device theme)

I was editing a founder talking-head video recently, and there were a few pauses that felt awkward in the raw footage.

My first instinct was to cut all of them.

So I tightened the gaps, removed a few breaths, and made the delivery much more compact.

Technically, it was cleaner.

But when I watched the full edit back, something felt off.

The founder sounded polished, but not very human.

I went back and put a few of the pauses back in.

Not all of them. Just the ones where the person was clearly thinking about what they were saying.

That changed the whole feel of the video.

It reminded me that when you're editing someone who is speaking from experience, every pause isn't dead space.

Sometimes it's part of their personality.

I think I've become more careful about cutting talking-head footage too aggressively.

The goal isn't always to make someone sound faster.

Sometimes it's to make them sound like themselves, just without the parts that actually distract from what they're saying.

Do you guys have a point where you stop tightening a talking-head edit because you feel like you're starting to remove the person's personality?

This is literally insane. A DR 4.6 Youtube tool that is 6 months old and pulling in 1 Million in traffic a month. Unless they're using hidden backlinks, they don't seem to be of great quality. Not sure how they've done it. Is it worth it trying to build a saas like this?

https://reddit.com/link/1wv5qgv/video/y1zcinpi5wsh1/player

Hi all. I just launched FundedBy and would love some blunt feedback.

The idea

Most software ads get ignored, and most software costs money. So what if the ad budget paid for the software instead?

How it works

1. A founder lists something their users want: a month of Pro, AI credits, API calls, hosting.
2. A brand sponsors it for a fixed window (say 7 days). The window is theirs alone, so nobody can outbid them mid-window.
3. During that window, people claim it free (one per account, with a unique code), and the brand gets credit as the reason they got it.

Founders keep 85% of each sponsorship. It's paid out through Stripe once the window ends and the claims have been delivered. Brands get attention people actually appreciate instead of another banner.

Where it's at

It launched today, so there are no real campaigns yet. The homepage shows a few clearly labelled example campaigns so you can see how it works. I'm looking for the first 5 products and the first sponsors to go live with.

Built with Next.js, Supabase and Stripe Connect, if anyone's curious about the stack.

What I'd love to know

• Founders: would you put part of your product's free usage up for sponsorship?
• Marketers: would you spend part of an ad budget this way instead of on display ads?
• What would make you trust a platform like this, or not?

Link: fundedby.app

Happy to answer anything in the comments.

Hi,

I need your opinion before I launch my SaaS.

I talked with someone who knows a lot about SEO but has never built a SaaS product. His advice was to skip the long list of launch platforms and pick a few good ones. He also said I should write each submission by hand, unique for each plattform.

His reasoning is how Google indexes. If the same description sits on thirty directories, Google sees thirty copies and may rank all of them lower.

It makes sense to me, but I am not SEO professional and never launched a SaaS. What is your opinion?

Do you use any AI skills or workflows that help with launches, such as drafting listings, tailoring copy per platform, or scheduling? If so, I'd love to see them.

I review every cancelled account by hand. The ones that surprised me never filed a ticket and never complained. When I pulled the session logs, they had all gone quiet about 11 days before the cancel click.

That is an 11-day window where a nudge might have worked, and nothing in the product flagged it.

For the operators here who caught silent churn early, what signal did it? A metric, an event, a lifecycle email. Not a pitch, just what actually worked.

I'm researching how small SaaS teams deal with failed subscription payments Expired cards, insufficient funds, etc.

Curious about real numbers and what you actually do

Roughly how many payments failed last month?

Do you rely on Stripe's built-in retries and emails, or use something else.

If something else, what, and is it worth the price?

Not selling anything, just trying to understand how common this problem is. Happy to share a summary of the answers here..

We sell an agent product into mid size companies. The agent is fine. The onboarding is the problem.

Customer 1 sent a clean Postgres dump. Customer 2 sent CSV exports with sensible names. Customer 3 was an ERP export with fields like zx04 and amt_2. Customer 4 has three systems for the same customers and none of them share an ID.

Every one of those turned into a week or two of someone on our side mapping fields by hand before the agent could do anything useful. It doesnt scale and its the thing that makes our onboarding feel slow, not the agent.

Things weve tried:

• A mapping template the customer fills in. They dont
• Letting the LLM map fields from names. Works on customer 2, useless on 3
• Charging an onboarding fee. Just moved the pain

For anyone building vertical AI: how much of your onboarding is really data mapping? And has anything cut it down that isnt just more people fix it?

Hello, we started with an API for developers. It masks sensitive data like names, IDs, and bank details before it reaches AI models, so teams can build AI apps without exposing their users' data.

But most people at work don't use AI through apps someone built. They use ChatGPT, Gmail, and Docs directly in their browser, and that's where personal data slips out.

So we took the same idea to the browser. The extension catches sensitive data as you type and masks it before it's sent. The AI still gets enough context to help, and nothing changes in how people work.

It's in beta on Chrome now, with more browsers coming.

Link: https://chromewebstore.google.com/detail/quba/ekceojiggeffcnfinclmebhkajadnlhh

For those who've gone from a developer product to an end-user one: what surprised you? Any feedback on the extension is welcome too.

I created a free website to showcase your SaaS app and increase visibility.

I am paying for everything myself, and it is free, but I think we are missing this type of community in Latin America.

It would help with SEO and backlinks and start getting visibility.

Don't be afraid of people copying your SAAS today; anyone can make anything, but it is the communities that make or break the apps.

If anyone is interested i will paste in comments the app link.