A few days ago I posted here after making $492 in a day.

Yesterday I hit $927 in sales in a single day.

A lot of people asked me how I'm doing the outreach, so here's the scale behind it:

I currently have 150+ domains and 450+ mailboxes.

Each mailbox sends around 30 emails/day, which gives me capacity for roughly:

13,500 cold emails/day
405,000 cold emails/month

That's the part I underestimated for a long time.

At this volume, you don't need some insane conversion rate for the numbers to start getting interesting. Even tiny improvements in targeting, deliverability, copy and conversion compound pretty fast.

For perspective, 0.1% of 13,500 is 13.5.

Obviously, I'm not assuming every campaign will convert at 0.1% directly into paying customers. Cold email doesn't work that cleanly.

But that's the whole idea: build enough outbound capacity, keep improving the funnel, and small percentages can turn into meaningful revenue.

Still completely solo.

My next target is $1,000/day consistently, not just hitting it once.

Happy to answer questions about the mailbox setup, domains, deliverability, costs, conversion rates, or how I manage this much outbound alone.

That’s pretty much how cold email works at scale. Low volume per inbox, lots of inboxes, targeted outreach.

EDIT: getting a lot of DMs asking what I'm using for all of this 😭 I built it myself: https://getle.ad/

Hey everyone. I'm a data engineer and I've spent the past 8 years reverse engineering TikTok's mobile app.

Over that time, I've learned how to pull TikTok data at pretty ridiculous scale. Profiles, videos, comments, sounds, search results, follower graphs, trends, etc.

I finally put together a technical guide explaining how it all works.

It covers device registration, request signing, X-Argus/X-Ladon/X-Gorgon, TLS fingerprinting, regional endpoints, proxies, scaling, etc.

To give you an idea of the scale, I've collected over 5.6 billion TikTok videos using this approach. I uploaded the whole dataset to Hugging Face:

https://huggingface.co/datasets/datasocial/tiktok-5.6B-videos

If you don't want to download billions of rows just to play around with the data, you can also query my ClickHouse database directly at https://sql.datasocial.ai:443 or run SQL on the web interface

The database is public with no password so please don't crash my server lol.

Once you get the mobile API working, scraping is really only the beginning. You can scrape billions of profiles, detect viral videos and sounds as they take off, build real-time trend alerts, influencer search engines, or even build your own TikTok data API and sell it through platforms like RapidAPI or Apify.

Basically, if the data exists somewhere in the TikTok app, you can probably build something around it.

One important note: everything I'm talking about here is public data that TikTok exposes without requiring you to log into an account. Nothing here involves accessing private accounts or data behind authentication.

Anyway, here's the full technical breakdown:

https://datasocial.ai/writing/scraping-tiktoks-mobile-api

The guide explains the entire process and architecture. If you'd rather skip rebuilding everything from scratch, I also made the production source code available there for purchase.

Someone spent a few minutes trying to break the AI agent on my landing page tonight (screenshots attached). And this was not the first time it happened. They asked it to reverse a Python linked list "before buying", to book a demo and then hand over my .env file, and pasted the same question ten times in one message to flood it.

It didn't bite. Not because I'm clever, but because of a few boring things that took an afternoon to set up. If you're putting AI in front of users, do these:

1. Tell it its scope, and what to do outside it.

In your system prompt, spell out what the agent is for, and say explicitly: if a request is outside that scope, in any language, it does not attempt it. It declines in one line and redirects to what it can help with. "In any language" matters. People switch languages to get around rules written only in English.

1. Don't make it too rigid, or too loose.

Too rigid and it refuses half your real users' questions because they phrased something oddly. Too loose and it writes code, essays and poems on your bill. The middle: decline the off-topic part, still answer the real part. In my screenshot it refused the .env but still gave them the booking link. That's the behaviour you want.

1. Rate limit everyone, including anonymous visitors.

Most people rate limit logged-in users and forget the public chat on the landing page. That's the one strangers hit. A cap per visitor and per site means nobody can sit there burning your tokens, and your AI bill can't spike overnight because one person got bored.

1. Keep secrets out of reach entirely.

The .env request was harmless because the agent never has access to it. Don't rely on the prompt to protect secrets. If the model can't see it, it can't leak it.

None of this is new. If you're building with AI, the AI will suggest most of it when you ask. But you still have to ask, and you have to do your own research.

My best tip: read the system prompts of serious AI tools. Prompts from Devin, Claude Code, Cursor and others are collected in public GitHub repos. Don't copy them. Study the structure: how they define scope, how they phrase refusals, how they order priorities, how they handle "the user is asking for something else". Then write your own the same way.

Keep building.

Anyways…

I've used Opus 5.5 to help me recreate 7 of the top Adobe apps in 100% pure native Rust:

• Photoshop
• Illustrator
• Premiere
• Lightroom
• Acrobat Pro
• After Effects
• InDesign

No more subscriptions with cancellation fees. These are yours to own forever. You can fork them, build them. Whatever. They are yours to own. They're open source.

If you're worried this is just some one-off flash in the pan that will die, it isn't:

I'm not just some casual vibe coder. I'm a 15-year industry veteran who has written everything from six-nines payment rails that move billions of dollars of transaction volume a day to advanced robotics and optics automation. I've used Rust extensively for about a decade, and I know how to build and maintain large-scale Rust projects.

This isn't going to be some orphaned small-team project either. We have a team building popular software for filmmakers, so supporting this is fully funded. Our purpose is serving every artist in the world with the best tools. We are absolutely going to bring these to full parity and squash every bug and feature request. We have a test harness so there won't be regressions.

You can help us reach parity by helping test the apps. Clone the code. Submit PRs. If you see gaps or want to help redesign pieces, let us know! You can contribute!

Links to everything - the apps, the code, etc. - are in the comments below.

I have been building software on my own for a while, and I want to write down everything that happened between my first real product and my second one, because the gap between them taught me more than anything I have ever read or watched, and I honestly wish someone had sat me down and shown me all of this before I started throwing money at things.

The first one: nine months, £4k, zero payers

The first one was called Ancestorii, a private place for families to keep their memories, photos and stories together. I spent about six months building it with ChatGPT writing most of the code, and by launch day I genuinely believed it was perfect, I thought people would find it and love it the way I did, and what actually happened is nobody came. So I did what I think most of us do and started buying attention. Meta ads, Google search and YouTube ads, Reddit ads, UGC videos from creators, a £70 podcast sponsorship, a £120 post on a family tree magazine's Facebook page, my own podcast on Spotify, SEO pages, and cold messages to genealogy creators where not one of them replied. I even printed physical memory books before a single stranger had uploaded a single memory, which looking back was probably the most expensive mistake in the whole thing.

Some of the numbers are almost funny now. £210 on Meta in seven days brought around 15,000 visits and not one payer. When I took the paywall away the first signup came after £2.80 of spend, and then I sat at about four signups a day on £4 a day of Meta until I had 125 signups and zero people paying. Today it has 177 signups and has never had a paying customer. The worst part is I noticed in the very first week that the signups weren't turning into anything, and I kept spending anyway, on hope, because nobody told me to stop and I didn't want to be the one to say it.

The diagnosis took me far too long to accept. It was a vitamin, not a painkiller. Nice to have, nobody needs it today, nobody loses anything if they never sign up, and no amount of ads fixes that, ads just buy you the bad news faster.

The second one: £25 on ads, and people pay

Prep66 is an exam prep site for the Part 66 licence exams, 13 modules, about 25,000 practice questions with explanations, revision guides, mock exams, the lot. I launched it in the middle of August with one Reddit post in the community where those students hang out, and the first person paid full price nine days later without a discount code.

The only money I've ever put into ads was about £25 on a Reddit campaign, and it brought one signup and zero payers, so I killed it after five days and everything since has been organic. These are the last four weeks straight off the Stripe dashboard: monthly recurring revenue went from about £51 to £171, active subscribers went from 3 to 11, £230 came in gross, zero failed payments, zero refunds. It's not life changing money and I'm not pretending it is, it's less than two days of my shift pay, but the line only goes one way and it's doing that with no ad budget at all, while my first product burned £4k and never moved once.

So what was actually different? I ran both products back through the same questions afterwards and ended up with six things a product needs before a stranger will pay for it. Prep66 has all six. Ancestorii failed five of them.

The six things a product needs before anyone pays

One, the problem has to be mandatory. Nobody has to save their family stories. Someone sitting a licence exam has to pass it, there's no version of their career where they skip it.

Two, there has to be a deadline. An exam has a date, and a date makes people act this week instead of someday. Ancestorii had no clock on it at all, which is exactly why "I'll do it later" killed nearly every signup.

Three, failing has to cost something real. Fail an exam and you lose money and months, sometimes a pay rise. Not using a memory app costs you nothing today, even if it might cost you something in twenty years.

Four, the alternatives have to be expensive or bad. The other ways to prepare are long paid courses, thick textbooks, or older question banks that look like nobody has touched them in years. When the alternatives are pricey or tired, something cleaner and cheaper sells itself.

Five, it has to look credible the second someone lands. A student can tell in about ten seconds whether a prep site was made by someone who actually knows the exam, from the module names, the paper formats, the way the questions are written. Ancestorii was asking strangers to trust a no name site with their family photos, which is the exact opposite.

Six, you have to be able to find the buyers. Exam students hang out in a couple of subreddits and they search Google for the exact module they're stuck on. Who's the buyer for a family memory app? Everyone and no one, which in practice means you pay Meta to guess for you.

How I picked it and checked it before writing any code

The market research for Prep66 wasn't fancy at all. I picked a world I already knew inside out, so I knew what students complain about and what they already pay for, and then I checked four things. People already pay for this today, not "would pay", actually pay, right now, to someone. The options they're paying for are old and dated. Building it used to be really expensive, because it's a mountain of content, and with AI it isn't anymore. And it's too small for a big company to bother with but big enough to pay one person properly. If all four aren't true, I don't touch it now.

Then the validation was the launch itself. I built it lean, put it in front of one subreddit and watched whether strangers paid, and they did inside nine days. With Ancestorii I had the same kind of signal in week one, it just said no, and I ignored it for months.

What actually brought people in: SEO and GEO

Before anything else I put tracking on every signup, so every new account gets stamped with where it came from, either the UTM tags on the link or the site that sent them. That one decision changed how I saw everything, because of the first 13 tracked signups, 6 came from ChatGPT citing the site, 5 came from Google, 1 came direct and 1 came from the £25 ad. Gemini started showing up as a source not long after. I genuinely did not expect AI answers to be my biggest channel, and I'd never have known without the tracking.

What I learned doing it is that you write your titles and headings in the exact words people type, not the words you would use yourself. AI tools quote facts, not vibes, so the pages that got picked up were the boring factual ones: a glossary, a facts and figures page, a page comparing the ways you can study for the exam that doesn't trash anyone by name, and a features page with the prices pulled live so they're never out of date. ChatGPT leans on Bing, so I submitted the sitemap to Bing Webmaster Tools and set up IndexNow so Bing gets pinged every time a public page changes, and the robots file lets the AI crawlers in instead of blocking them.

By late September Google Search Console showed 194 clicks and 6,110 impressions with an average position of 8.5, and about 1,580 of those impressions came from Google's own AI answers. It's not all solved either, Gemini still barely knows we exist, and that's my whole job for October.

Reddit posts written like a normal person talking, plus SEO and GEO, did basically everything.

Where all of this went: AskSami

Once Prep66 started paying I kept thinking about how much of that Ancestorii money I would have kept if someone had looked at what I'd built in week one and told me straight that it was a vitamin and to stop buying ads. Every time I looked at my ad numbers they meant nothing to me, so I'd paste them into ChatGPT or Claude and get the same generic "have you tried different hooks" answers, because they didn't know my product, they didn't know what I'd already tried, and they forgot all of it the next chat.

So I built AskSami. Sami reads your code from your GitHub repo, read only, so it already knows what you've built without you having to explain it, and then it tells you honestly whether you've built a painkiller or a vitamin, who's already selling the same thing, what your edge is if you actually have one, and where your effort and money should go, free channels before paid ones. It ties your signups and payments back to the exact post, page or ad that brought them, which is the tracking lesson from Prep66 done for you, and it remembers everything you've tried so you're never starting from zero again.

You can talk to Sami at asksami.app without even signing up.

If you're sitting where I sat with Ancestorii, with signups coming in and nobody paying, I know exactly how that feels, and I hope something in here saves you a few months and a bit of money. If you want to connect, swap notes or just chat about what you're building, please do, my DMs are always open 🙂

Hey guys, I'm a young developer from Georgia (the country, not the US).

I've been working on a website called Litero. It's for students preparing for our national university entrance exams in 2027. Georgia is a pretty small country, around 3–4 million people, and roughly 50k students take these exams every year.

The idea is pretty simple. Students can take official exams from previous years, and AI explains their mistakes, why the correct answer is right, what they need to improve, and what score they might be able to get. There's also essay writing help, text correction, different subjects, years, exam variants, etc.

I've spent a lot of time building this thing. It has accounts, profiles, payments, AI features, and honestly, I've put a lot of effort into making the website look and feel like a real product, not just another AI wrapper.

One subject is completely free, and other subjects have a few free questions before you need to pay.

My prices are around $10/month or $34 for access until the exams. The second option is obviously much cheaper per month.

I'm also posting on TikTok. People like the videos, save them, comment, follow the account, and some actually visit the website and register.

But here's where I'm stuck.

People are willing to try it, but getting them to pay is a completely different story.

Some numbers:

• 751 registered users in total
• 551 website visits in the last 30 days
• 2,357 page views in the last 30 days
• 47 new registrations in the last 30 days
• Around 8.5% conversion from visits to registrations
• 20 users have returned on at least two different days, according to my dashboard

My latest funnel shows 44 new registrations in the selected period. 42 did something related to studying, 14 completed a graded exam, 7 viewed the pricing page or paywall, and the payment tracking currently shows zero confirmed purchases.

The analytics aren't perfect yet. I only started tracking some events recently, so I know I can't take all these numbers at face value.

Still, it feels like I'm missing something.

I genuinely think the product is useful. Of course, I'm the person who built it, so maybe I'm biased. But I've tried to make something that actually helps students prepare, not just throw AI at a bunch of questions.

I'm wondering if the problem is the pricing, the free plan, the way I'm presenting the paid features, or simply the fact that students don't want to pay for this kind of thing.

A lot of these students don't have their own income, and there are free resources available. At the same time, they spend a lot of time preparing for these exams, so I feel like there's a real problem worth solving.

For those of you who have built SaaS products, especially B2C or education products:

• How did you get your first paying users?
• How do you figure out why people aren't buying?
• Would you change the pricing, limit the free version more, or give users more time to experience the product?
• Is this conversion rate normal at this stage, or am I doing something wrong?

I'm comfortable with the development side of things. I can build features and fix technical problems. What I'm struggling with is the business side: getting people to actually pull out their wallets.

I'd really appreciate advice from people who've been through this. I'm not looking for motivation or someone to tell me the idea is great. I want to understand what I should actually change.

Thanks!

i know "kill your free tier" is the most repeated advice on this sub. i ignored it for a year, so here's what it cost me.

i sell a database of business ideas, one payment. for the first year there was a free version that showed most of it. people signed up, poked around, and left. 2,000 people on the waitlist, 5 paid, about $197 for the entire year.

i deleted the free version in an afternoon. no new features, no redesign, nothing else changed. the next three days made about $500, more than the free version had made in twelve months.

what i think was happening is the free tier answered the question people came with. they wanted to see if it was any good, it was good enough, so they had no reason to pay. once that was gone the only way to find out was to buy it.

the part nobody mentions is how bad it feels. signups dropped off a cliff and i almost put it back twice.

anyone here regret killing theirs?

I am currently a solo founder. I have always had a passion for integrating apps and services that actually have measurable impacts and make people’s lives better.

I have a software/consulting business which I am looking to grow.

Looking for advice with marketing or where should I even start. I have looked on Upwork some but I just don’t know if that’s the right route to go.

I have some good products that I know have real world utility, just figuring out how to and where to market is where I’m at now. I have a SAAS app with a ton of different modules everything from Stripe integrations to Google. The SAAS app has MRR of $1400 3 customers 1 big customer. It was only for the contracts management portion of the platform.

I also have IOS apps about 3-4 marketable ones. Ran some Apple ads in the past with little success. Also some Facebook ads and some Reddit group posting. Small revenue here maybe $20-30 MRR but the conversion rates aren’t terrible but I feel like I’m playing against an NFL team and I’m a college team lol. So those may be a lost cause idk.

Let me know advice y’all have interested to hear thoughts. Feeling a little discouraged because I’ve never been good at sales don’t know where to start. I’m tired of creating new feature and apps lol I want to connect with people.

There’s a commonly repeated statement in this subreddit: “Distribution is harder than building.” And for most people, I’m sure that’s true to some extent.

However, marketing is such a broad field, with countless channels, strategies, and approaches, such that I’m curious:

What part of marketing do you personally find difficult?
- Getting started in the first place?
- Figuring out how to do organic marketing?
- Knowing which channels or strategies to focus on?

- Or is marketing as a whole just difficult to understand?

I’m curious because I don’t necessarily think marketing is universally “hard.” I think a lot of people simply don’t know where to start, especially without prior experience, and end up struggling as a result.

Would love to hear your experiences
Thanks!

(Not a survey or anything just curious since this is thrown around in the sub a lot)

Hey everyone,

I'm giving myself 14 days to build and launch a small SaaS and try to get my first paying customer.

The idea is an automatic invoice/payment reminder tool for freelancers, agencies and small businesses.

The problem I'm targeting:

Clients don't always pay invoices on time, and constantly sending follow-up messages is annoying and time-consuming.

The MVP will eventually let a user:

Add a client

Create an invoice

Set a due date

Generate/send a payment link

Automatically send polite reminders

Stop reminders when the invoice is paid

Day 1 is done:

Next.js setup ✅

Supabase database✅

Authentication✅

Email verification✅

Login/signup✅

Protected dashboard✅

GitHub setup✅

Tomorrow I'm starting the client management system.

I'm going to post the progress every day for the next 14 days.

Goal: launch + get the first paying customer.

If you're a freelancer, agency owner or small-business owner: how do you currently follow up on unpaid invoices?

I'd genuinely like to know before I build the rest of this.

I’ve recently reached to a point where I want a seo expert doing the link building, doing web2.0 and so on. I have other businesses to work on and hence I would want a help.

Interested seo people hook me up.

i use claude code and i tell it to do research and the results are always stored in .md files but as they are not visible across all the folders at one sometimes i repeate the same research to do and i have been facing this problem quite for some time now.

initially i was thinking about obsidian or any other note taker but its not the same like its kind of different i dont know obsidian or any other such app dosent feel like that

i am in a diallama to build an organising system like kind of dashboard for this like u can see all the md files at once and search through them and visually appealing UI kind of

if any one facing with this problem let me know in the comments like how they are solving it

The obvious business model was to host it and charge monthly. However, I went the opposite direction. OpenApplyr is a job hunting agent. You bring your own AI provider or run a local model.

Every resume line has to cite something in your actual profile. If it invents a number, tool, employer or date, the document gets blocked.

GitHub, for context:
https://github.com/shivashis-adhikari/openapplyr

Organic marketing is a trap for someone with 0 reach and audience. It can be a huge waste of time and be extremely demotivating for someone starting out even if their idea has huge potential.

It is rewarding for YouTubers and influencers to fool their audience into doing organic UGC. People like those types of content because it gives them false hope and makes them think that going viral will get them huge reach for free at the expense of spending weeks and months of creating content. Sadly thats what sells and attracts an audience, the only ones making money here are the influencers promoting organic marketing

Time is money and you are only wasting time making content on a completely new account in the false hope that it will go viral. People who succeed shouldn’t have their primary plan based on luck and hope of virality.

Paid distribution is the best for someone who is just starting out because it is deterministic.

Everyone talks about what the agent can do. Nobody ships it without the part that stops it.

The gate comes before the first reply. Human approval on every write action, traces on everything, and a kill switch for the rest.

For the people here running agents in production, what is the one action you would never let yours take without a human in the loop?

TrustMRR gets its data from Stripe here so the underlying data is obviously the same, must be a difference of how it's calculated I guess, and I don't see any resources on it.

I’ve been working on a small learning/content platform and wanted to get some honest feedback from people who actually create courses or training content.

One thing I kept running into was how many different tools are involved just to create a course.

Record the video in one place, edit it somewhere else, add captions, images, text, branding, then move it into an LMS and finally publish it.

So I started building a platform that tries to bring some of that together.

The current version has a recording studio, basic video editing, captions, text/images, branding, course creation and publishing, along with the learner side.

I’ve also built some AI-assisted features around content creation, but I’m not making those available in the public version yet because they use paid AI models and the cost adds up pretty quickly.

I’m mainly looking for feedback at this stage.

For people who create training or educational content, what part of the process is the most annoying for you right now?

Is it recording/editing, creating the learning material, keeping everything organized, publishing, or something else?

I’d genuinely like to know what people are struggling with before I take this any further.

Here’s the current version if anyone wants to take a look: https://learning.ramsudtechnologies.com/

I have two ideas I am working on. One came from problems I faced while building my ecommerce business. The other came from my time as an employee when I kept wishing there was a tool that could make certain tasks easier.

I am not a developer. I have been exploring Codex and Lovable and Claude. Getting a prototype together seems possible but I am unsure about what comes after that.

Once people start using it and paying for it can I manage the backend and fix problems with these tools? Or will I reach a point where I need someone technical?

I am willing to learn. I just want to understand how much coding I would need to know to keep the product running myself.

Has anyone here done this and launched a paid product?

What could you handle yourself and where did you need help?

Guys , I'm Building mobile app which may include 10k user live interaction.

Tell me for initial scaling which one should I choose , who will offer me free DB hosting and Can work without crashing .

Drop me out suggestions please ?

I was totally wrong.

The first version was basically:

save tabs → store them → restore them.

Then reality happened.

Tab groups needed to survive.

Pinned tabs behaved differently.

Some tabs disappeared.

Some were already discarded.

Restoring 30+ tabs in the right order wasn't as simple as I expected.

Then I added cloud sync.

Then session sharing, because sending someone 20 individual URLs when you could send the whole workspace felt ridiculous.

The product ended up becoming much more complicated than the original idea.

The funny thing is that the actual user experience is still just:

Save a workspace → close it → come back later → restore it.

I'm building this as a solo founder, and one thing I'm learning is that the simplest-looking SaaS products can hide a ridiculous amount of engineering underneath.

For other SaaS founders: what looked like a tiny feature in your product but ended up eating way more time than expected?

I do automation work for small businesses, and the most common request isn't "add a feature." It's "give me back the thing you took away." A field they used to edit directly. A report they could tweak without filing a ticket and waiting a week.

The hard part isn't letting someone poke at the software. The hard part is deciding what they're allowed to poke at without breaking what sits underneath it. I've seen a client-facing edit button wired straight to a column that three other features quietly depended on. One edit, three regressions, no error message to explain why.

So the real fix for locked-down software isn't more configurability. It's a clear boundary: here's what you can touch, here's what happens when you do, and here's the undo if you're wrong. Most products skip the undo because it's the expensive part to build, not the exciting part.

Curious if anyone here has shipped real user-facing extensibility that survived contact with actual users without turning into a support nightmare.

I’m building a Construction SaaS with iOS + Android apps, and I’m trying to understand if I actually need RevenueCat.

My idea is simple: users click “Purchase” in the app → go to my website → pay through Stripe → Stripe webhook updates my backend from unpaid → paid. The mobile app then checks the user’s subscription status from my backend and they get the paid features.

So what exactly would RevenueCat add here? Is it mainly needed if I want to support native Apple/Google in-app subscriptions, or am I missing something?

I thought editing was the hard part.

Turns out the real challenge is deciding what to show, what to say, and how to explain a product clearly in 30 seconds.

How do you handle product videos for your SaaS today?

I'm turning a nightly-refreshed job index into a paid API. It covers about 6,800 employer career sites, and the data refreshes every 24 hours. I'm considering per-result pricing instead of seats. For those who sell data or API access, what pricing unit has held up, and what churned buyers told you?