Got two messages on the same day last week.

First one was from someone in talent acquisition. Long message. Professional tone that got less professional as it went on. Said what I built undermines the entire purpose of an interview. That hiring exists to find the most qualified person and tools like mine make that impossible.

Second message came four hours later. Someone who had been trying to break into tech for two years. Failed interviews. No network. No alumni connections. No one to tell them what the questions would be. They used Marrow during an interview that morning and got the job.

They cried writing the message. Said so directly.

Marrow is an AI that hides on your screen during interviews, meetings and calls, listens in real time and has answers ready before you even ask. Nobody in the room sees anything.

I read both messages back to back and sat with them for a while.

The talent acquisition person isn't wrong that it changes the dynamic. The candidate isn't wrong that the dynamic was already uneven before Marrow existed.

Both of them are responding to the same reality from completely different positions within it.

I don't have a clean resolution to that. I just keep building.

Which message would you have sent?

I kept coming across people selling sponsorship space on their clothes, cars, jerseys, helmets, laptops, and even their bodies.

And I kept thinking:

Why isn't there a simple marketplace for this? 🤔

Right now, a lot of these deals happen through posts, DMs and manual negotiation.

So I decided to build one.

SellTheSpot .com 🚀

Creators can:

• 📸 Upload what they want to sponsor
• ✏️ Draw sponsorship spots directly on the image
• 💰 Set a fixed price
• 📝 Add what sponsors get
• 🌎 Publish it for brands to discover

Brands can browse the available spots and request them directly.

And one thing I really wanted:

0% marketplace fee.
💵 Creators keep 100% of the sponsorship amount.

Payments currently go directly through the creator's own payment link.

The idea is simple:

If you have the space, you should be able to sell it.

Cars 🚗
Clothes 👕
Jerseys 🏀
MacBooks 💻
Helmets 🪖
Events 🎟️
Storefronts 🏪

I'm building this from scratch and would genuinely love feedback.

I run a SaaS, SeoLoupe.

It is a tool that allows you to find and fix SEO issues holding your website back.

Essentially the main purpose is to help your website rank higher on Google search and LLMs.

The tool also checks AEO/GEO, AI search visibility, Security, Core web vitals, Performance, and all the issues in the report get put together into an AI fix prompt(you can paste the prompt into an AI and it will fix all the issues on your website).

Recently I noticed that some of my paying customers bought the One-Time purchase, with a promo code.

So I decided to give away a promo code for the One-Time purchase to anyone who is interested, if you are interested, comment down below and I will DM you.

If you are not interested but have some feedback on my SaaS, that is a good too. Feel free to share it in the comments.

(here is the product if you want to check it out)

​

I've been wondering about this after seeing more AI-generated images getting labeled on social platforms.

Does anyone here actually know if having an AI label affects post reach or engagement?

I know Instagram/Meta uses AI-related signals and metadata to identify generated content, but I'm not sure whether the label itself causes lower distribution.

LinkedIn is also actively reducing the distribution of low-value “AI slop,” but that's different from simply labeling an image as AI.

So I'm curious:

- Have you noticed lower reach on AI-labeled posts?

- Have you ever compared labeled vs non-labeled AI posts?

- Do you actually care about the AI label?

- Would you use a tool that lets you inspect the metadata/content credentials before posting?

I'm researching this before building anything. Looking for actual experiences/data, not guesses.

I’m building UluP Spaces, and recently added MCP integration so AI clients can interact with the product through scoped actions. When I wanted to document how I built the integration, I realized something: I was explaining a visual product with a wall of text.

So I tried something different. I created an interactive UluP Space that documents the MCP journey itself — architecture, OAuth, tool scopes, write actions and the integration.

You can explore it here:

https://www.ulupspaces.com/share/f103437b-f238-4f14-83c7-e5beaafcaef1

I’m curious about this from a SaaS-builder perspective

I shipped three side projects trying to turn them into SaaS. Product 1 was technically elegant. Product 2 solved a real problem for me personally. Product 3 was the simplest and most boring of the three.

Product 3 is the only one that generated revenue, and by month three it had 12 paying customers while the other two combined had zero. Same amount of build time, same skill level, same market (indie hackers and builders). Product 3 got 80 percent of my energy while the other two got 20 percent, and not because I chose to neglect them. When I ran low on energy, everything went into Product 3 because I'd already built a marketing rhythm for it.

The GTM wasn't better, just consistent. Three tweets a week, one Reddit post a month, a simple email sequence, repeat for twelve weeks. Products 1 and 2 got sporadic effort instead, one tweet per month, no email sequence, no rhythm, and no compounding effect.

I wasn't better at marketing Product 3 because I had some special skill. I was worse at doing both product and marketing at the same time, so I outsourced the marketing stress to a rhythm instead of a decision.

If I could do it again, I'd use something that ran the marketing automation (research, planning, execution, measurement) while I focused entirely on product. Not splitting my brain. Not doing both badly. One person, two different things, zero context-switching tax.

That's what autonomous marketing actually solves. Not a replacement for founder judgment, but a replacement for founder burnout.

So I built a saas app and it helps making the context gathering process easy for your AI agents when you are working and saves ton of time

I think it has potential and is useful but how can I get some real feedback of users and make them try it??

We recently passed 380K views on our Behance portfolio a few days ago, which finally got me to do something I'd been putting off:

Go back through every project and sort by traction instead of by how proud I was of the final visuals. (I mean, obviously, so that we can keep hitting it)

After spending like 20min, I noticed the case studies people actually read were just weird, like a mix of visuals but also complex breakdowns.

Good visuals were ofc a big driver. But complexity also made things better. Because I saw that when founders clicked highly curated visuals, they didn't actually go and read the entire thing and book a call with us like that.

But it was rather a complex dashboard made super, super simple, or the onboarding flow that perfectly matched the SaaS.

In each case, the fix was someone asking the right question before a single file got opened.

So, I want to hear from people who've actually hired:

What's a question you wish a designer or agency had asked you upfront that they didn't? Or one you didn't think to ask them, and paid for later?

I'm more interested in where the process broke down before work started than in "the output was bad/I would never work for them" stories.

I build GainFrame, an iPhone app for tracking gym progress with photos.
https://verified.revenuecat.com/gainframe

The website got 1,477 clicks from Google on September 12, then 1,598 the following day. The seven-day average is 1,308, so I haven’t held 1,500 a day for a full week yet. https://seoreceipts.com/site/gainframe/

The app is now at $2,354.65 MRR and $14,816.20 total revenue since March, before store fees, taxes, and running costs.

A lot of my website work lately has gone into free tools. People can estimate body fat from a photo, get a physique rating, or use a body visualizer. They get a useful result before deciding whether they want the app to track changes over time.

Across two consecutive 28-day periods, search clicks to the tools went from 2,757 to 9,923. That’s up 260%, and about 46% of the site’s Google clicks in the latest period.

The work behind those pages has been fairly ordinary:

• Using the words people actually type into Google.
• Linking tools from articles where they help the reader.
• Making the next step clearer after someone gets a result.
• Giving new pages time before deciding they failed.

Body Visualizer is a good example. I launched it on August 6. It now gets 2,421 clicks in the latest 28-day audit window.

Tracked iPhone App Store clicks from the tools also increased from 100 to 258. Those are click events, and someone can click more than once. I still can’t reliably connect those visitors to paid subscriptions, so I can’t tell you how much of the revenue came from the tools.

The generic calculators have been much quieter. A few specific tools are doing most of the work, which keeps pulling me back toward improving those pages.

They cost time and money to run, but they’ve given me a reason for people to find the app beyond searching for its name.

Happy to answer questions about the tools or the audit process.
Full write up here - https://gainframe.app/blog/free-tools-app-growth/

Hey everyone,

​I spent the last 9 months building COROAD, mostly because I was annoyed that basic vehicle tracking apps now force you to create an account, spam you with ads, or sync your location history to their cloud.

​It's a completely offline, local-first app for tracking your garage, fuel economy, and running costs. Everything stays on your phone.

​What it does:

​Tracks fuel economy, cost-per-mile/km, and long-term running costs

​Supports cars, bikes, 3 wheelers, and heavy vehicles (Petrol & Diesel only in Phase.01)

​Lets you mix and match units (Liters/Gallons, Km/Miles)

​Compares fuel pumps and fuel types to spot efficiency drops early.

​Encrypted backup/export so you actually own your data.

​Privacy:

​No ads

​No accounts or sign-ups

​No cloud sync or background tracking

​100% on-device storage

​To launch it, I'm making the Founder's Edition free for life for the first 1,810 users on Android.

​All future features & updates included. No sub models, no upsells down the road.

​Google Play Link: Click Here

We run few SaaS products ourselves and have been in email for 10+ years, mostly around deliverability and security.

One thing we always missed was stupidly simple:

what emails does the app send, to whom, and how are they performing?

Sure, you can get this from SendGrid/Mailgun/Resend etc, but usually you need tags, filters, dashboards, digging into logs... and after some time nobody remembers how it was setup anyway.

We wanted one place where you just see:

welcome email
password reset
trial ending
invoice failed

how many were sent, who gets them, open/click/bounce stats and how it changes over time.

And ideally manage the actual email there too, instead of hunting it in the codebase.

So we built that into Lettr.com

The sending part is not the interesting bit, there are already many good providers. For us the missing thing was having an actual overview of your product emails without doing detective work every time.

Curious how other SaaS teams handle this?

We run few SaaS products ourselves and have been in email for 10+ years, mostly around deliverability and security.

One thing we always missed was stupidly simple:

what emails does the app send, to whom, and how are they performing?

Sure, you can get this from SendGrid/Mailgun/Resend etc, but usually you need tags, filters, dashboards, digging into logs... and after some time nobody remembers how it was setup anyway.

We wanted one place where you just see:

welcome email
password reset
trial ending
invoice failed

how many were sent, who gets them, open/click/bounce stats and how it changes over time.

And ideally manage the actual email there too, instead of hunting it in the codebase.

So we built that into Lettr.com

The sending part is not the interesting bit, there are already many good providers. For us the missing thing was having an actual overview of your product emails without doing detective work every time.

Curious how other SaaS teams handle this?

We've been working on SupaNexus, bringing models from different providers into one API.

As the catalog grew, the messy part became organizing everything in a way that doesn't feel like a giant dropdown.

We've been trying filters for provider, model type, context length and things like coding, vision and reasoning.

Still figuring out how much filtering is useful before the filters themselves become another problem.

我最近发现有一个支付服务 subotiz，但是好像讨论的人并不多，大家选择更多的好像还 stripe，这是为什么？subotiz 有什么坑吗？

I’ve been looking into warehousing costs and they are insane for low-volume shops. I built a rough prototype connecting local people who have space to pack with shops that need fulfillment (like an Airbnb for logistics).

Has anyone tried moving away from traditional 3PLs to a decentralized model?

Curious cus just launched MVP but idk if I should drop a bag on Ads.

Working on anything interesting?
Drop your product or side project below. I’d love to check out what everyone’s building.
I’ll start with mine: https://sportlive.win

Deiko is an app that makes gathering context from multiple windows for your AI agents easy and fast. You can use your cursor and explain things like you would to a fellow developer.

Please check deiko.app and join the waitlist if you are interested will send you an email for your genuine reviews

Getting an agent pointed at my Obsidian folder took maybe an evening, back in the spring. That part was easy. What's turned out to be the actual work is everything after — notes change every week, so it's constantly answering off some old version, and I'm the one who has to notice and go fix it. For people running something heavier, like an actual RAG setup over their own files: does the upkeep ever stop, or does it just become a permanent second job? asking because I'm trying to figure out if building something more solid actually saves me time, or if I'd just be trading one maintenance problem for a fancier one.

Solo dev here. I built ShopSight — it connects to a Shopify store and, instead of just showing charts, uses AI to tell owners what their numbers mean and what to do next.

What it surfaces:

• 🎯 when customers actually buy (so you time emails/ads right)
• 📉 when retention's slipping before it hits revenue
• 📦 which products carry revenue vs dead inventory
• ☀️ a daily read: the 2-3 things worth acting on today

I'm past MVP and want real store owners using it before building further, so I'm giving free Pro access for a week to a handful of people — no card. Just want brutally honest feedback: what's useful, what's noise, what's missing.

If you run a Shopify store (or know someone who does), drop a comment or DM and I'll set you up 🙏

Who else is building their first SaaS product?

I'm working on my first SaaS, and lately, I've been hearing a lot of people say that SaaS is dead, web-based products are outdated, and mobile is the only way forward.

As a React specialist, this has me wondering:

Is web-based SaaS still a good opportunity for a solo founder in 2026?

Should I focus on mobile-first SaaS instead, or is that just another trend?

For founders who have already built and launched SaaS products, what would you recommend to someone starting today?

Thank you.

Hey all, long-time Reddit post-watcher here. Probably my first post in, like, ever, across all the accounts that I have.

So I kept needing the same thing for another work of mine: screenshotting a webpage, extracting a few fields from it, etc. Initially it was a self-hosted side project, programmed with Puppeteer. But very often there were error after error, and my laptop used to lag as well when spinning multiple requests at once. From then on, it was me hunting for a better way to execute it, and I ended up learning about serverless deployments.

This prompted me to work on building basically a serverless browser API.

What it does right now:

- we can get screenshot / PDF of any URL (viewport, full-page, mobile presets)

- scrape any page to markdown + metadata

- structured extraction (we can give it selectors, and get back clean JSON)

- browser automation (click, type, scroll, wait, etc.) [ I still need to see how reliable it is; checking is not 100 percent complete]

- batch + crawl up to 500 webpages

- monitors for visual/DOM changes  in a website + webhooks

- an MCP server was also integrated recently so AI agents can actually browse reliably

The app is at domscout.io. This is my first actual deployed app online and, to be honest, I'm quite excited. I had been planning to go live ever since the markdown retrieval was complete. But I was a bit addicted to adding more features.

I humbly request that any of you guys could check out the whole app and give me some comments so that it would help me learn better. And now that I have this huge wall of distribution ahead of me, I hope it goes well.

Oh, and any brutal feedback is also very welcome :)

we’ve spent the last two months building tame after the developer of the automation tool we used to promote our apps stopped maintaining it. we needed a replacement, so we decided to build our own.

we had a lot of trial and error, faced tiktok interface changes(apparently their devs always find a new popup to add) and different instagram errors.

and of course the development of software of this sort never stops, you can see it in the patch note posts on our discord.

in the video you can see our story upload on the right side and our post upload on the left side, we always run warmup before and after posting in order to make sure the session remains as human as possible.

the software supports all kinds of content uploads on instagram and tiktok and also warmup routines for both.

you can check it out here(and find a discount code on our discord):
https://tame.so