I'm a developer. I've spent months building something that works, and it's been sitting at "technically functional, nobody knows it exists" because I don't have the time or the inclination for sales and marketing. Posting to see if someone who does wants to take that half of it.

What it is

ClearRank tracks whether a brand shows up when people ask AI tools questions instead of googling.

You give it a domain and a set of prompts — "best project management tool for agencies", that kind of thing. It runs those prompts daily against ChatGPT, Perplexity, and Google AI Overviews, and for each one records: was the brand mentioned, was it actually cited as a source, where in the answer, which competitors showed up instead, and how the brand was described.

The point is the history, not the snapshot. You watch a prompt's visibility move over weeks and can tell whether anything you changed actually did something.

Where it actually is

Live at clearrank.io — you can run a domain through it without signing up or giving me an email, so you don't have to take my word for any of this. Real people have used it. Zero revenue: Stripe has never processed a live card.

What's built and working:

• The scanning pipeline, running daily on a schedule
• Per-prompt history, competitor tracking, citation sources, sentiment on how the brand gets described
• A free public scanner that produces a shareable report, with email capture
• Multi-tenant orgs, billing wired up, prompt-based plans (15 / 100 / 400 prompts), 15-day trial
• 13 country targets with locale-aware querying
• Per-call cost tracking, so unit economics are calculable
• Elixir/Phoenix LiveView, ~36k lines, deployed and monitored

Where it sits against the competition

The honest version, because a sales person needs to know what they can't promise.

Profound is the category leader — nominally $99/mo, realistically ~$499 to get anything. Peec AI holds the mid-market at €85–505. Otterly is the accessible end at $29. Ahrefs and Semrush both ship AI visibility as an add-on. Nobody has won the category, but Profound has set the feature bar.

What they have that I don't:

• Log-file and crawler analytics. Profound reads your CDN and server logs to show which AI bots — GPTBot, PerplexityBot, ClaudeBot — hit which pages, and filters spoofed crawlers. Strongest feature in the category. I have nothing equivalent.
• Attribution. They trace crawler visit → citation → human referral traffic → conversion through

To all developers, indie hackers, and tech leads out there,

Are your OpenAI and Anthropic API bills getting out of hand? 💸

I am currently building a Token Savings SaaS product designed to help developers and companies optimize, cache, and archive their AI prompts and responses to drastically cut down on API expenses.

To build the best possible solution, I need to understand your actual pain points and current spending habits. Whether you are a solo hacker spending $10/month or an enterprise spending $5,000+, your input is incredibly valuable.

Could you spare 60 seconds to fill out this quick, anonymous Google Form?

👉 https://docs.google.com/forms/d/e/1FAIpQLSfyuJuzceGgZxqilY6WEsNiHFRtuW9wGGjYQ3w-Rqw3HhEi6g/viewform?usp=dialog

What's in it for you?
Leave your email at the end of the survey if you want early beta access and a permanent discount once we launch!

Thank you for your time and feedback! Let me know your thoughts or questions in the comments below.

I currently run 6 operational micro ai saas products that generate a little over $20k in monthly recurring revenue.

I hardly wrote a single line of traditional code. i used ai to generate literally everything, from the database architecture to the user interface.

it wasn't magic on day one. i spent hours stuck in endless debugging loops and dealing with faulty ai code before i finally cracked the formula.

it basically comes down to three rules:

- keeping the idea aggressively minimalist (build a true mvp, not a platform).

- guiding the ai step-by-step instead of asking it to build the whole app at once.

- launching fast to get real user traction instead of perfecting features in secret.

lately, i've seen way too many non-technical founders give up at the very first ai bug or deployment error. or the worst, give up without push anything in marketing !!!!

it's a massive shame, because the technical barrier to entry has practically disappeared and the marketing is easy in 2026

because of this, i’m launching a skool community to share my exact method.

to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific prompt sequences, n8n workflows, and copy-and-paste templates i'll be sharing.

but right now, our main objective is simply to build together. working alone in a silent corner is the absolute fastest way to quit.

if you want to join a group of active creators and build or launch your own ai saas: drop a comment below or send me a dm, and i’ll send you the invite link.

Drop your website in the comments or send me a DM, and I’ll use the tool I’m building to find the best customer profile for your SaaS.

It works by checking whether AI assistants (ChatGPT, Claude, Gemini, AI Overviews) recommend or advise against your business when different buyer personas ask for a solution.

Problem I see personally is most tools only count brand mentions. But a mention isn’t automatically a good thing.

ChatGPT can bring your brand up and then tell the buyer to go with a competitor (or warn them you’re not built for their use case).

That still shows up as a mention in most dashboards, so you end up tracking a number that is actually costing you deals.

I’m building a tool to measure the stance behind the mention, not just the mention itself. It checks how likely each model is to recommend you, stay neutral, or steer buyers away, and it splits that by persona.

When the answer is bad, it shows you which narrative is causing it and what to change so AI starts recommending you instead.

Drop your URL in the comments (or DM me if you’d rather not post it publicly) and I’ll send back what I find.
This is totally free no strings. I get to test on your sites, you get to see what AI is actually saying about you.

Hey everyone,

I'm Nabeel, a third-year AI & ML diploma student from Kerala, India.

About 2–3 months ago, I started building my first AI SaaS while balancing college. I wasn't trying to build a startup at first—I just wanted to see if I could take an idea all the way to a real, usable product.

That project eventually became **Hexer Hire**, an AI-powered resume builder that creates ATS-friendly resumes through a conversational chat experience instead of making users fill out long forms.

The journey was much harder than I expected.

I spent countless nights debugging backend issues, fixing deployment problems, redesigning the UI, improving the AI-generated resumes, and learning technologies I'd never worked with before. There were days when I'd solve one bug only to wake up and find two more.

I didn't have funding, a team, or a big budget. So I tried to make the most of the resources available to students and indie developers.

My **only out-of-pocket expense was ₹116 for the domain name.**

Everything else was built using free developer resources:

* AWS Activate credits for cloud infrastructure * Vercel's free tier for frontend hosting * Google AI Studio APIs during development * Supabase's free tier for the database and authentication * GitHub Student Developer Pack and other free tools whenever possible

Without those free programs, I honestly don't think I could have launched this while still in college.

The biggest lesson I learned is that shipping a product isn't just about writing code. It's about solving hundreds of small problems, staying consistent, and continuing even when things don't go as planned.

A few days ago, I finally launched the product.

I'm still learning, so I'd really appreciate honest feedback from this community. If you decide to try it, I'd love to know:

* Does the chat experience feel natural? * Is the generated resume actually useful? * What's the first thing you would improve?

I'm not looking for compliments—I genuinely want constructive criticism so I can make it better.

Thanks for reading, and thanks to everyone in communities like this who openly share knowledge. A lot of what I learned came from people willing to help strangers on the internet.